WorldWideScience

Sample records for research knowledge base

  1. Drug knowledge bases and their applications in biomedical informatics research.

    Science.gov (United States)

    Zhu, Yongjun; Elemento, Olivier; Pathak, Jyotishman; Wang, Fei

    2018-01-03

    Recent advances in biomedical research have generated a large volume of drug-related data. To effectively handle this flood of data, many initiatives have been taken to help researchers make good use of them. As the results of these initiatives, many drug knowledge bases have been constructed. They range from simple ones with specific focuses to comprehensive ones that contain information on almost every aspect of a drug. These curated drug knowledge bases have made significant contributions to the development of efficient and effective health information technologies for better health-care service delivery. Understanding and comparing existing drug knowledge bases and how they are applied in various biomedical studies will help us recognize the state of the art and design better knowledge bases in the future. In addition, researchers can get insights on novel applications of the drug knowledge bases through a review of successful use cases. In this study, we provide a review of existing popular drug knowledge bases and their applications in drug-related studies. We discuss challenges in constructing and using drug knowledge bases as well as future research directions toward a better ecosystem of drug knowledge bases. © The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  2. Enhancing Canadian Civil Society Research and Knowledge-Based ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Enhancing Canadian Civil Society Research and Knowledge-Based Practice in a Rapidly Changing Landscape for International Development ... Women in the developing world continue to face obstacles that limit their ability to establish careers and become leaders in the fields of science, technology, engineering, and ...

  3. A Metadata based Knowledge Discovery Methodology for Seeding Translational Research.

    Science.gov (United States)

    Kothari, Cartik R; Payne, Philip R O

    2015-01-01

    In this paper, we present a semantic, metadata based knowledge discovery methodology for identifying teams of researchers from diverse backgrounds who can collaborate on interdisciplinary research projects: projects in areas that have been identified as high-impact areas at The Ohio State University. This methodology involves the semantic annotation of keywords and the postulation of semantic metrics to improve the efficiency of the path exploration algorithm as well as to rank the results. Results indicate that our methodology can discover groups of experts from diverse areas who can collaborate on translational research projects.

  4. Community-based participatory research and integrated knowledge translation: advancing the co-creation of knowledge.

    Science.gov (United States)

    Jull, Janet; Giles, Audrey; Graham, Ian D

    2017-12-19

    Better use of research evidence (one form of "knowledge") in health systems requires partnerships between researchers and those who contend with the real-world needs and constraints of health systems. Community-based participatory research (CBPR) and integrated knowledge translation (IKT) are research approaches that emphasize the importance of creating partnerships between researchers and the people for whom the research is ultimately meant to be of use ("knowledge users"). There exist poor understandings of the ways in which these approaches converge and diverge. Better understanding of the similarities and differences between CBPR and IKT will enable researchers to use these approaches appropriately and to leverage best practices and knowledge from each. The co-creation of knowledge conveys promise of significant social impacts, and further understandings of how to engage and involve knowledge users in research are needed. We examine the histories and traditions of CBPR and IKT, as well as their points of convergence and divergence. We critically evaluate the ways in which both have the potential to contribute to the development and integration of knowledge in health systems. As distinct research traditions, the underlying drivers and rationale for CBPR and IKT have similarities and differences across the areas of motivation, social location, and ethics; nevertheless, the practices of CBPR and IKT converge upon a common aim: the co-creation of knowledge that is the result of knowledge user and researcher expertise. We argue that while CBPR and IKT both have the potential to contribute evidence to implementation science and practices for collaborative research, clarity for the purpose of the research-social change or application-is a critical feature in the selection of an appropriate collaborative approach to build knowledge. CBPR and IKT bring distinct strengths to a common aim: to foster democratic processes in the co-creation of knowledge. As research

  5. Knowledge-based View in the Franchising Research Literature

    OpenAIRE

    TSAI, Fu-Sheng; KUO, Chin-Chiung; LIU, Chi-Fang

    2017-01-01

    Abstract. This study was conducted to understand the state of research on applications of Knowledge-based View in franchise systems. First, we used SALSA (Search, Appraisal, Synthesis, and Analysis), a simple systematic data search method, to obtain 61 sample papers. Second, the citations of authors and publications were analyzed using the bibliometric method to understand the authors and the publications that had the most impact as well as the trend of current studies in the field of knowled...

  6. Research on knowledge support technology for product innovation design based on quality function knowledge deployment

    Directory of Open Access Journals (Sweden)

    Kai Zhang

    2016-06-01

    Full Text Available Based on the analysis of the relationship between the process of product innovation design and knowledge, this article proposes a theoretical model of quality function knowledge deployment. In order to link up the product innovation design and the knowledge required by the designer, the iterative method of quality function knowledge deployment is refined, as well as the knowledge retrieval model and knowledge support model based on quality function knowledge deployment are established. In the whole life cycle of product design, in view of the different requirements for knowledge in conceptual design stage, components’ configuration stage, process planning stage, and production planning stage, the quality function knowledge deployment model could link up the required knowledge with the engineering characteristics, component characteristics, process characteristics, and production characteristics in the four stages using the mapping relationship between the function characteristics and the knowledge and help the designer to track the required knowledge for realizing product innovation design. In this article, an instance about rewinding machine is given to demonstrate the practicability and validity of product innovation design knowledge support technology based on quality function knowledge deployment.

  7. Research on the construction of knowledge base for institutes

    International Nuclear Information System (INIS)

    Yang Ru

    2014-01-01

    Knowledge base (KB in short) is very important for institutes. It can train employees to improve their ability of work. It can supply more information to directors for making right decisions, and can help constructing learning organization to promote innovation. Institutes possess several information systems, but there are some problems such as inadequate use of documents, and connotative knowledge isn't described and communicated. KB of institute is based on programs. It stress integrity, secrecy of programs and authorized access. Libraries have abilities to construct KB, since it's the center of information for the institute. KB of institute includes: KB of training, communion of technique issues, KB of department, personal KB, KB of specialists. Because of low cost many institutes adopt softwares of free codes such as: DSpace, EPrints, Fedodra, CDSware, Greenstone. KB systems are choosed by institutes, depending on types of knowledge, ability of technique, fund and so on. KB is constructed by collecting, sorting, describing key knowledge, connecting, accessing, updating and innovating. Program KB of different places and majors will unite in the future. (author)

  8. Developing Statistical Knowledge for Teaching during Design-Based Research

    Science.gov (United States)

    Groth, Randall E.

    2017-01-01

    Statistical knowledge for teaching is not precisely equivalent to statistics subject matter knowledge. Teachers must know how to make statistics understandable to others as well as understand the subject matter themselves. This dual demand on teachers calls for the development of viable teacher education models. This paper offers one such model,…

  9. Researching on knowledge architecture of design by analysis based on ASME code

    International Nuclear Information System (INIS)

    Bao Shiyi; Zhou Yu; He Shuyan

    2003-01-01

    The quality of knowledge-based system's knowledge architecture is one of decisive factors of knowledge-based system's validity and rationality. For designing the ASME code knowledge based system, this paper presents a knowledge acquisition method which is extracting knowledge through document analysis consulted domain experts' knowledge. Then the paper describes knowledge architecture of design by analysis based on the related rules in ASME code. The knowledge of the knowledge architecture is divided into two categories: one is empirical knowledge, and another is ASME code knowledge. Applied as the basement of the knowledge architecture, a general procedural process of design by analysis that is met the engineering design requirements and designers' conventional mode is generalized and explained detailed in the paper. For the sake of improving inference efficiency and concurrent computation of KBS, a kind of knowledge Petri net (KPN) model is proposed and adopted in expressing the knowledge architecture. Furthermore, for validating and verifying of the empirical rules, five knowledge validation and verification theorems are given in the paper. Moreover the research production is applicable to design the knowledge architecture of ASME codes or other engineering standards. (author)

  10. Introductory Graduate Research Courses: An Examination of the Knowledge Base.

    Science.gov (United States)

    Mundfrom, Daniel J.; Shaw, Dale G.; Thomas, Ann; Young, Suzanne; Moore, Alan D.

    This study addresses the question, "What should graduate students know about research and statistics after completing an initial course?" Individuals who teach such courses at various Carnegie classifications of institutions were surveyed about the specific characteristics of an introductory graduate research course at their own institutions to…

  11. Profession based research through Action research. Framing knowledge production in an interdisciplinary perspective

    DEFF Research Database (Denmark)

    Tofteng, Ditte Maria Børglum; Bladt, Mette; Husted, Mia

    to work on tendencies to privilege some types of knowledge above others when it comes to knowledge production and research processes. The participatory worldview mandates action researchers to consider participants as a collaborative resource and agents of cyclical transformation who bring to the table...... practical knowledge and experience about situations while the recurring pattern of reflection, analysis and action contributes to the constant evolution and redefinition of the original goal. Methodology, Methods, Research Instruments or Sources Used This paper is a theoretical reflection on actions...... will be an reflection on action research and participatory research processes as an asvwer to developing a vocational research practice that goes beyond quantitative an qualitative methodologies and into to research as an research and development process. References Bladt, M. (2012): Frirum og værksteder I Duus m...

  12. New Virginia Cooperative Extension website connects citizens with research-based knowledge

    OpenAIRE

    Sutphin, Michael D.

    2009-01-01

    Virginia Cooperative Extension has revamped its online presence with a new and improved website that connects citizens with the research-based knowledge at Virginia's land-grant universities, Virginia Tech and Virginia State University.

  13. Analyzing the dialogic turn in the communication of research-based knowledge

    DEFF Research Database (Denmark)

    Phillips, Louise Jane

    2011-01-01

    Tensions have been identified in the shift to dialogue, whereby researchers produce and communicate research-based knowledge in interaction with different social actors. This paper draws on three perspectives on those tensions  - science and technology studies analyses of public engagement, action...... where the collaborating actors ­(university researchers and practitioners) co-produce knowledge through communication processes in which different expert-identities and knowledge forms are negotiated. The analysis explores the balancing-act between imposing control on the research process and opening up...

  14. Ecological research and environmental management: We need different interfaces based on different knowledge types.

    Science.gov (United States)

    Gosselin, Frédéric; Cordonnier, Thomas; Bilger, Isabelle; Jappiot, Marielle; Chauvin, Christophe; Gosselin, Marion

    2018-04-25

    The role of ecological science in environmental management has been discussed by many authors who recognize that there is a persistent gap between ecological science and environmental management. Here we develop theory through different perspectives based on knowledge types, research categories and research-management interface types, which we combine into a common framework. To draw out insights for bridging this gap, we build our case by:We point out the complementarities as well as the specificities and limitations of the different types of ecological research, ecological knowledge and research-management interfaces, which is of major importance for environmental management and research policies. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. Research on the Method of Enterprise Knowledge Management Based on Web 2.0

    Directory of Open Access Journals (Sweden)

    Le Chengyi

    2017-06-01

    Full Text Available [Purpose/significance] It is the key for the research of enterprise knowledge management to improve the efficiency of enterprise knowledge management by using the advantages of Web 2.0, such as its fastness, public participation and strong interaction. [Method/process] Based on the analysis of the characteristics and main technologies of Web 2.0, this paper discussed the role and application of Web 2.0 related technologies in the enterprise knowledge management, and then put forward the enterprise knowledge management methods based on Web 2.0, including knowledge acquisition method, knowledge classification and organization method, knowledge sharing and evaluation method by usingWeb2 .0. [Result/conclusion] Through the introduction of Web 2.0 related technologies into the knowledge management of enterprises, the research provides convenient and low-cost tools and methods for knowledge management related activities, and helps all users to participate in enterprise knowledge management activities quickly and easily.

  16. Teachers' Reported Knowledge and Implementation of Research-Based Classroom and Behavior Management Strategies

    Science.gov (United States)

    Moore, Tara C.; Wehby, Joseph H.; Oliver, Regina M.; Chow, Jason C.; Gordon, Jason R.; Mahany, Laura A.

    2017-01-01

    Teachers' reported knowledge about and implementation of research-based classroom and behavior management strategies were examined. A total of 160 elementary teachers from two districts in different regions of the same state completed the researcher-developed "Survey of Classroom and Behavior Management." On average, teachers reported to…

  17. Using the Knowledge Base of Health Services Research to Redefine Health Care Systems.

    Science.gov (United States)

    Brook, Robert H; Vaiana, Mary E

    2015-10-01

    This Perspective discusses 12 key facts derived from 50 years of health services research and argues that this knowledge base can stimulate innovative thinking about how to make health care systems safer, more efficient, more cost effective, and more patient centered, even as they respond to the needs of diverse communities.

  18. Bridging Professional Teacher Knowledge for Science and Literary Integration via Design-Based Research

    Science.gov (United States)

    Fazio, Xavier; Gallagher, Tiffany L.

    2018-01-01

    We offer insights for using design-based research (DBR) as a model for constructing professional development that supports curriculum and instructional knowledge regarding science and literacy integration. We spotlight experiences in the DBR process from data collected from a sample of four elementary teachers. Findings from interviews, focus…

  19. RESEARCH ON KNOWLEDGE-BASED OPTIMIZATION METHOD OF INDOOR LOCATION BASED ON LOW ENERGY BLUETOOTH

    Directory of Open Access Journals (Sweden)

    C. Li

    2017-09-01

    Full Text Available With the rapid development of LBS (Location-based Service, the demand for commercialization of indoor location has been increasing, but its technology is not perfect. Currently, the accuracy of indoor location, the complexity of the algorithm, and the cost of positioning are hard to be simultaneously considered and it is still restricting the determination and application of mainstream positioning technology. Therefore, this paper proposes a method of knowledge-based optimization of indoor location based on low energy Bluetooth. The main steps include: 1 The establishment and application of a priori and posterior knowledge base. 2 Primary selection of signal source. 3 Elimination of positioning gross error. 4 Accumulation of positioning knowledge. The experimental results show that the proposed algorithm can eliminate the signal source of outliers and improve the accuracy of single point positioning in the simulation data. The proposed scheme is a dynamic knowledge accumulation rather than a single positioning process. The scheme adopts cheap equipment and provides a new idea for the theory and method of indoor positioning. Moreover, the performance of the high accuracy positioning results in the simulation data shows that the scheme has a certain application value in the commercial promotion.

  20. Research on Knowledge-Based Optimization Method of Indoor Location Based on Low Energy Bluetooth

    Science.gov (United States)

    Li, C.; Li, G.; Deng, Y.; Wang, T.; Kang, Z.

    2017-09-01

    With the rapid development of LBS (Location-based Service), the demand for commercialization of indoor location has been increasing, but its technology is not perfect. Currently, the accuracy of indoor location, the complexity of the algorithm, and the cost of positioning are hard to be simultaneously considered and it is still restricting the determination and application of mainstream positioning technology. Therefore, this paper proposes a method of knowledge-based optimization of indoor location based on low energy Bluetooth. The main steps include: 1) The establishment and application of a priori and posterior knowledge base. 2) Primary selection of signal source. 3) Elimination of positioning gross error. 4) Accumulation of positioning knowledge. The experimental results show that the proposed algorithm can eliminate the signal source of outliers and improve the accuracy of single point positioning in the simulation data. The proposed scheme is a dynamic knowledge accumulation rather than a single positioning process. The scheme adopts cheap equipment and provides a new idea for the theory and method of indoor positioning. Moreover, the performance of the high accuracy positioning results in the simulation data shows that the scheme has a certain application value in the commercial promotion.

  1. Excellence in the knowledge-based economy: from scientific to research excellence

    DEFF Research Database (Denmark)

    Sørensen, Mads P.; Bloch, Carter Walter; Young, Mitchell

    2016-01-01

    In 2013, the European Union (EU) unveiled its new ‘Composite Indicator for Scientific and Technological Research Excellence’. This is not an isolated occurrence; policy-based interest in excellence is growing all over the world. The heightened focus on excellence and, in particular, attempts...... to define it through quantitative indicators can have important implications for research policy and for the conduct of research itself. This paper examines how the EU's understanding of excellence has evolved in recent years, from the presentation of the Lisbon strategy in 2000 to the current Europe 2020...... strategy. We find a distinct shift in the understanding of excellence and how success in the knowledge-based economy should be achieved: in the early period, excellence is a fuzzy concept, intrinsically embedded in research and researchers and revealed by peer review. In the later period, excellence...

  2. The Research of Clinical Decision Support System Based on Three-Layer Knowledge Base Model

    Directory of Open Access Journals (Sweden)

    Yicheng Jiang

    2017-01-01

    Full Text Available In many clinical decision support systems, a two-layer knowledge base model (disease-symptom of rule reasoning is used. This model often does not express knowledge very well since it simply infers disease from the presence of certain symptoms. In this study, we propose a three-layer knowledge base model (disease-symptom-property to utilize more useful information in inference. The system iteratively calculates the probability of patients who may suffer from diseases based on a multisymptom naive Bayes algorithm, in which the specificity of these disease symptoms is weighted by the estimation of the degree of contribution to diagnose the disease. It significantly reduces the dependencies between attributes to apply the naive Bayes algorithm more properly. Then, the online learning process for parameter optimization of the inference engine was completed. At last, our decision support system utilizing the three-layer model was formally evaluated by two experienced doctors. By comparisons between prediction results and clinical results, our system can provide effective clinical recommendations to doctors. Moreover, we found that the three-layer model can improve the accuracy of predictions compared with the two-layer model. In light of some of the limitations of this study, we also identify and discuss several areas that need continued improvement.

  3. The research on construction and application of machining process knowledge base

    Science.gov (United States)

    Zhao, Tan; Qiao, Lihong; Qie, Yifan; Guo, Kai

    2018-03-01

    In order to realize the application of knowledge in machining process design, from the perspective of knowledge in the application of computer aided process planning(CAPP), a hierarchical structure of knowledge classification is established according to the characteristics of mechanical engineering field. The expression of machining process knowledge is structured by means of production rules and the object-oriented methods. Three kinds of knowledge base models are constructed according to the representation of machining process knowledge. In this paper, the definition and classification of machining process knowledge, knowledge model, and the application flow of the process design based on the knowledge base are given, and the main steps of the design decision of the machine tool are carried out as an application by using the knowledge base.

  4. Synthesizing Knowledge in Design Research

    DEFF Research Database (Denmark)

    Piirainen, Kalle A.

    2016-01-01

    The chapter discusses knowledge synthesis in design research, bringing together the perspectives of experimental design research, or Research in Design Context that is treated extensively elsewhere in this book, and Design Inclusive Research as well as Practice-based Design Research. Specific...... attention is paid to the question of how practice-based or problem-driven design research processes can be rigorous and yield contributions to knowledge. The main argument in this chapter is that a key to knowledge synthesis and scientific contribution is setting explicit design propositions...... that are instantiated within design artefacts, and evaluated rigorously. The chapter starts with a discussion of knowledge creation and synthesis within design research.Following this, the chapter moves on to focus on setting a methodological framework for deriving design propositions. Lastly the chapter elaborates...

  5. Knowledge translation of research findings

    Directory of Open Access Journals (Sweden)

    Grimshaw Jeremy M

    2012-05-01

    translation strategy is informed by an assessment of the likely barriers and facilitators. Although our evidence on the likely effectiveness of different strategies to overcome specific barriers remains incomplete, there is a range of informative systematic reviews of interventions aimed at healthcare professionals and consumers (i.e., patients, family members, and informal carers and of factors important to research use by policy makers. Summary There is a substantial (if incomplete evidence base to guide choice of knowledge translation activities targeting healthcare professionals and consumers. The evidence base on the effects of different knowledge translation approaches targeting healthcare policy makers and senior managers is much weaker but there are a profusion of innovative approaches that warrant further evaluation.

  6. Knowledge translation of research findings.

    Science.gov (United States)

    Grimshaw, Jeremy M; Eccles, Martin P; Lavis, John N; Hill, Sophie J; Squires, Janet E

    2012-05-31

    likely barriers and facilitators. Although our evidence on the likely effectiveness of different strategies to overcome specific barriers remains incomplete, there is a range of informative systematic reviews of interventions aimed at healthcare professionals and consumers (i.e., patients, family members, and informal carers) and of factors important to research use by policy makers. There is a substantial (if incomplete) evidence base to guide choice of knowledge translation activities targeting healthcare professionals and consumers. The evidence base on the effects of different knowledge translation approaches targeting healthcare policy makers and senior managers is much weaker but there are a profusion of innovative approaches that warrant further evaluation.

  7. Proceedings of the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base

    Energy Technology Data Exchange (ETDEWEB)

    Chavez, Francesca C. [Editor; Mendius, E. Louise [Editor

    2003-09-23

    These proceedings contain papers prepared for the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base, held 23-25 September, 2003 in Tucson, Arizona. These papers represent the combined research related to ground-based nuclear explosion monitoring funded by the National Nuclear Security Administration (NNSA), Defense Threat Reduction Agency (DTRA), Air Force Research Laboratory (AFRL), US Army Space and Missile Defense Command, and other invited sponsors. The scientific objectives of the research are to improve the United States capability to detect, locate, and identify nuclear explosions. The purpose of the meeting is to provide the sponsoring agencies, as well as potential users, an opportunity to review research accomplished during the preceding year and to discuss areas of investigation for the coming year. For the researchers, it provides a forum for the exchange of scientific information toward achieving program goals, and an opportunity to discuss results and future plans. Paper topics include: seismic regionalization and calibration; detection and location of sources; wave propagation from source to receiver; the nature of seismic sources, including mining practices; hydroacoustic, infrasound, and radionuclide methods; on-site inspection; and data processing.

  8. Proceedings of the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base

    International Nuclear Information System (INIS)

    Chavez, Francesca C.; Mendius, E. Louise

    2003-01-01

    These proceedings contain papers prepared for the 25th Seismic Research Review -- Nuclear Explosion Monitoring: Building the Knowledge Base, held 23-25 September, 2003 in Tucson, Arizona. These papers represent the combined research related to ground-based nuclear explosion monitoring funded by the National Nuclear Security Administration (NNSA), Defense Threat Reduction Agency (DTRA), Air Force Research Laboratory (AFRL), US Army Space and Missile Defense Command, and other invited sponsors. The scientific objectives of the research are to improve the United States capability to detect, locate, and identify nuclear explosions. The purpose of the meeting is to provide the sponsoring agencies, as well as potential users, an opportunity to review research accomplished during the preceding year and to discuss areas of investigation for the coming year. For the researchers, it provides a forum for the exchange of scientific information toward achieving program goals, and an opportunity to discuss results and future plans. Paper topics include: seismic regionalization and calibration; detection and location of sources; wave propagation from source to receiver; the nature of seismic sources, including mining practices; hydroacoustic, infrasound, and radionuclide methods; on-site inspection; and data processing.

  9. Research-Based Knowledge: Researchers' Contribution to Evidence-Based Practice and Policy Making in Career Guidance

    Science.gov (United States)

    Haug, Erik Hagaseth; Plant, Peter

    2016-01-01

    To present evidence for the outcomes of career guidance is increasingly seen as pivotal for a further professionalization of policy making and service provision. This paper puts an emphasis on researchers' contribution to evidence-based practice and policy making in career guidance. We argue for a broader and more pluralistic research strategy to…

  10. The Production and Dissemination of Knowledge: A Scoping Review of Arts-Based Health Research

    Directory of Open Access Journals (Sweden)

    Katherine M. Boydell

    2012-01-01

    Full Text Available The use of arts-based research is shifting our understanding of what counts as evidence and highlights the complexity and multidimensionality involved in creating new knowledge. A scoping review of arts-based health research was undertaken to identify the breadth of peer-reviewed literature, summarize findings and identify gaps. A literature database search identified 71 original studies meeting our criteria for review. Studies were characterized by diverse art genres, designs, and substantive health topics. The arts in qualitative research were considered an opportunity for enhanced engagement of participants and audiences alike, a way to enrich communication and make research accessible beyond academia, and a method for generating data beyond the scope of most interview-based methods. Three central gaps were identified: the need for critical dialogue regarding the impact of arts-based health research, the need to focus on how the quality of such projects is judged, and the need to address the ethical challenges of engaging in this work. We suggest that the broadening of qualitative methodologies to include arts-based approaches offers more than simply adjuncts to typical data collection and dissemination approaches, and instead, presents different ways of knowing. We believe that this may be a significant moment in the field in which to question whether or not we are witness to a paradigmatic shift in the ways we approach inquiry into the social world and/or the emergence of an innovative set of techniques that researchers can draw upon to enhance traditional methods of conducting qualitative inquiry. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1201327

  11. From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making.

    Science.gov (United States)

    Cvitanovic, C; McDonald, J; Hobday, A J

    2016-12-01

    Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management

  12. Knowledge Building in an Online Environment: A Design-Based Research Study

    Science.gov (United States)

    Li, Qing

    2009-01-01

    This article explores knowledge-building in an online distance-learning environment. The research examines how knowledge-building principles can be translated into online classroom practice for graduate students. Specifically, how do the course components and the online learning environments created in two online graduate courses contribute to…

  13. Evidence-based practice, research utilization, and knowledge translation in chiropractic: a scoping review.

    Science.gov (United States)

    Bussières, André E; Al Zoubi, Fadi; Stuber, Kent; French, Simon D; Boruff, Jill; Corrigan, John; Thomas, Aliki

    2016-07-13

    Evidence-based practice (EBP) gaps are widespread across health disciplines. Understanding factors supporting the uptake of evidence can inform the design of strategies to narrow these EBP gaps. Although research utilization (RU) and the factors associated with EBP have been reported in several health disciplines, to date this area has not been reviewed comprehensively in the chiropractic profession. The purpose of this review was to report on the current state of knowledge on EBP, RU, and knowledge translation (KT) in chiropractic. A scoping review using the Arksey and O'Malley framework was used to systematically select and summarize existing literature. Searches were conducted using a combination of keywords and MeSH terms from the earliest date available in each database to May 2015. Quantitative and thematic analyses of the selected literature were conducted. Nearly 85 % (56/67) of the included studies were conducted in Canada, USA, UK or Australia. Thematic analysis for the three categories (EBP, RU, KT) revealed two themes related to EBP (attitudes and beliefs of chiropractors; implementation of EBP), three related to RU (guideline adherence; frequency and sources of information accessed; and perceived value of websites and search engines), and three related to KT (knowledge practice gaps; barriers and facilitators to knowledge use; and selection, tailoring, and implementation of interventions). EBP gaps were noted in the areas of assessment of activity limitation, determination of psychosocial factors influencing pain, general health indicators, establishing a prognosis, and exercise prescription. While most practitioners believed EBP and research to be important and a few studies suggested that traditional and online educational strategies could improve patient care, use of EBP and guideline adherence varied widely. Findings suggest that the majority of chiropractors hold favourable attitudes and beliefs toward EBP. However, much remains to be done for

  14. The redesigned Forensic Research/Reference on Genetics-knowledge base, FROG-kb.

    Science.gov (United States)

    Kidd, Kenneth K; Soundararajan, Usha; Rajeevan, Haseena; Pakstis, Andrew J; Moore, Katherine N; Ropero-Miller, Jeri D

    2018-03-01

    The Forensic Resource/Reference on Genetics-knowledge base (FROG-kb) web site was introduced in 2011 and in the five years since the previous publication ongoing research into how the database can better serve forensics has resulted in extensive redesign of the database interface and functionality. Originally designed as a prototype to support forensic use of single nucleotide polymorphisms (SNPs), FROG-kb provides a freely accessible web interface that facilitates forensic practice and can be useful for teaching and research. Based on knowledge gained through its use, the web interface has been redesigned for easier navigation through the multiple components. The site also has functional enhancements, extensive new documentation, and new reference panels of SNPs with new curated data. FROG-kb focuses on single nucleotide polymorphisms (SNPs) and provides reference population data for several published panels of individual identification SNPs (IISNPs) and several published panels of ancestry inference SNPs (AISNPs). For each of the various marker panels with reference population data, FROG-kb calculates random match probabilities (RMP) and relative likelihoods of ancestry for a user-entered genotype profile (either completely or partially specified). Example genotype profiles are available and the User's Manual presents interpretation guidelines for the calculations. The extensive documentation along with ongoing updates makes FROG-kb a comprehensive tool in facilitating use of SNPs in forensic practice and education. An overview of the new FROG-kb with examples and material explaining the results of its use are presented here. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  15. KBTAC [Knowledge-Based Technology Application Center] - The EPRI [Electric Power Research Institute]-sponsored knowledge-based technology application center

    International Nuclear Information System (INIS)

    Meyer, W.; Wood, R.M.; Scherer, J.

    1990-01-01

    The Electric Power Research Institute (EPRI) has announced the establishment of the Knowledge-Based Technology Application Center (KBTAC), whose goal is to assist member utilities with expert system technology and applications. The center, established November 7, 1989, is located on the campus of Syracuse University, Syracuse, New York, and will be operated jointly by Kaman Sciences Corporation and the university. The mission of the KBTAC is to assist EPRI member utilities to develop, test, and transfer expert systems into nuclear power plant operations, maintenance, and administration

  16. Exploring arts-based knowledge translation: sharing research findings through performing the patterns, rehearsing the results, staging the synthesis.

    Science.gov (United States)

    Rieger, Kendra; Schultz, Annette S H

    2014-04-01

    Cultivation of knowledge translation (KT) strategies that actively engage health professionals in critical reflection of their practice and research-based evidence are imperative to address the research-practice gap. While research-based evidence is exponentially growing, our ability to facilitate uptake by nurses and other health professionals has not kept pace. Innovative approaches that extend epistemological bias beyond a singular standpoint of postpositivism, such as the utilization of arts-based methods, expand the possibility to address the complexities of context, engage audience members, promote dissemination within communities of practice, and foster new audiences interested in research findings. In this paper, we address the importance of adopting a social constructivist epistemological stance to facilitate knowledge translation to diverse audiences, explore various arts-based knowledge translation (ABKT) strategies, and open a dialogue concerning evaluative tenets of ABKT. ABKT utilizes various art forms to disseminate research knowledge to diverse audiences and promote evidence-informed practice. ABKT initiatives translate knowledge not based upon a linear model, which views knowledge as an objective entity, but rather operate from the premise that knowledge is socially situated, which demands acknowledging and engaging the learner within their context. Theatre, dance, photography, and poetry are art forms that are commonly used to communicate research findings to diverse audiences. Given the emerging interest and importance of utilizing this KT strategy situated within a social constructivist epistemology, potential challenges and plausible evaluative criteria specific to ABKT are presented. ABKT is an emerging KT strategy that is grounded in social constructivist epistemological tenets, and holds potential for meaningfully sharing new research knowledge with diverse audiences. ABKT is an innovative and synergistic approach to traditional

  17. The Developmental Brain Disorders Database (DBDB): a curated neurogenetics knowledge base with clinical and research applications.

    Science.gov (United States)

    Mirzaa, Ghayda M; Millen, Kathleen J; Barkovich, A James; Dobyns, William B; Paciorkowski, Alex R

    2014-06-01

    The number of single genes associated with neurodevelopmental disorders has increased dramatically over the past decade. The identification of causative genes for these disorders is important to clinical outcome as it allows for accurate assessment of prognosis, genetic counseling, delineation of natural history, inclusion in clinical trials, and in some cases determines therapy. Clinicians face the challenge of correctly identifying neurodevelopmental phenotypes, recognizing syndromes, and prioritizing the best candidate genes for testing. However, there is no central repository of definitions for many phenotypes, leading to errors of diagnosis. Additionally, there is no system of levels of evidence linking genes to phenotypes, making it difficult for clinicians to know which genes are most strongly associated with a given condition. We have developed the Developmental Brain Disorders Database (DBDB: https://www.dbdb.urmc.rochester.edu/home), a publicly available, online-curated repository of genes, phenotypes, and syndromes associated with neurodevelopmental disorders. DBDB contains the first referenced ontology of developmental brain phenotypes, and uses a novel system of levels of evidence for gene-phenotype associations. It is intended to assist clinicians in arriving at the correct diagnosis, select the most appropriate genetic test for that phenotype, and improve the care of patients with developmental brain disorders. For researchers interested in the discovery of novel genes for developmental brain disorders, DBDB provides a well-curated source of important genes against which research sequencing results can be compared. Finally, DBDB allows novel observations about the landscape of the neurogenetics knowledge base. © 2014 Wiley Periodicals, Inc.

  18. Research notes and commentaries managing knowledge in foreign entry strategies: A resource-based analysis

    NARCIS (Netherlands)

    K.E. Meyer (Klaus); D.M. Wright (Mike); S. Pruthi (Sarika)

    2009-01-01

    textabstractInternational strategies vary in their potential to exploit and augment a firm's resources, especially its knowledge base. Resource-based analysis suggests clustering the diverse entry modes in terms of their exploitation and augmentation characteristics. We thus introduce a new

  19. Introducing the Forensic Research/Reference on Genetics knowledge base, FROG-kb.

    Science.gov (United States)

    Rajeevan, Haseena; Soundararajan, Usha; Pakstis, Andrew J; Kidd, Kenneth K

    2012-09-01

    Online tools and databases based on multi-allelic short tandem repeat polymorphisms (STRPs) are actively used in forensic teaching, research, and investigations. The Fst value of each CODIS marker tends to be low across the populations of the world and most populations typically have all the common STRP alleles present diminishing the ability of these systems to discriminate ethnicity. Recently, considerable research is being conducted on single nucleotide polymorphisms (SNPs) to be considered for human identification and description. However, online tools and databases that can be used for forensic research and investigation are limited. The back end DBMS (Database Management System) for FROG-kb is Oracle version 10. The front end is implemented with specific code using technologies such as Java, Java Servlet, JSP, JQuery, and GoogleCharts. We present an open access web application, FROG-kb (Forensic Research/Reference on Genetics-knowledge base, http://frog.med.yale.edu), that is useful for teaching and research relevant to forensics and can serve as a tool facilitating forensic practice. The underlying data for FROG-kb are provided by the already extensively used and referenced ALlele FREquency Database, ALFRED (http://alfred.med.yale.edu). In addition to displaying data in an organized manner, computational tools that use the underlying allele frequencies with user-provided data are implemented in FROG-kb. These tools are organized by the different published SNP/marker panels available. This web tool currently has implemented general functions possible for two types of SNP panels, individual identification and ancestry inference, and a prediction function specific to a phenotype informative panel for eye color. The current online version of FROG-kb already provides new and useful functionality. We expect FROG-kb to grow and expand in capabilities and welcome input from the forensic community in identifying datasets and functionalities that will be most helpful

  20. Context Based Inferences in Research Methodology: The Role of Culture in Justifying Knowledge Claims

    Science.gov (United States)

    Evers, Colin W.; Mason, Mark

    2011-01-01

    Drawing on work in epistemology and the philosophy of science, this paper seeks to provide very general reasons for why a comparative perspective needs to be applied to the inferential procedures of research methodologies where these concern the issue of justifying knowledge claims. In particular, the paper explores the role of culture on a number…

  1. Knowledge base mechanisms

    Energy Technology Data Exchange (ETDEWEB)

    Suwa, M; Furukawa, K; Makinouchi, A; Mizoguchi, T; Mizoguchi, F; Yamasaki, H

    1982-01-01

    One of the principal goals of the Fifth Generation Computer System Project for the coming decade is to develop a methodology for building knowledge information processing systems which will provide people with intelligent agents. The key notion of the fifth generation computer system is knowledge used for problem solving. In this paper the authors describe the plan of Randd on knowledge base mechanisms. A knowledge representation system is to be designed to support knowledge acquisition for the knowledge information processing systems. The system will include a knowledge representation language, a knowledge base editor and a debugger. It is also expected to perform as a kind of meta-inference system. In order to develop the large scale knowledge base systems, a knowledge base mechanism based on the relational model is to be studied in the earlier stage of the project. Distributed problem solving is also one of the main issues of the project. 19 references.

  2. The COPD Knowledge Base: enabling data analysis and computational simulation in translational COPD research.

    Science.gov (United States)

    Cano, Isaac; Tényi, Ákos; Schueller, Christine; Wolff, Martin; Huertas Migueláñez, M Mercedes; Gomez-Cabrero, David; Antczak, Philipp; Roca, Josep; Cascante, Marta; Falciani, Francesco; Maier, Dieter

    2014-11-28

    Previously we generated a chronic obstructive pulmonary disease (COPD) specific knowledge base (http://www.copdknowledgebase.eu) from clinical and experimental data, text-mining results and public databases. This knowledge base allowed the retrieval of specific molecular networks together with integrated clinical and experimental data. The COPDKB has now been extended to integrate over 40 public data sources on functional interaction (e.g. signal transduction, transcriptional regulation, protein-protein interaction, gene-disease association). In addition we integrated COPD-specific expression and co-morbidity networks connecting over 6 000 genes/proteins with physiological parameters and disease states. Three mathematical models describing different aspects of systemic effects of COPD were connected to clinical and experimental data. We have completely redesigned the technical architecture of the user interface and now provide html and web browser-based access and form-based searches. A network search enables the use of interconnecting information and the generation of disease-specific sub-networks from general knowledge. Integration with the Synergy-COPD Simulation Environment enables multi-scale integrated simulation of individual computational models while integration with a Clinical Decision Support System allows delivery into clinical practice. The COPD Knowledge Base is the only publicly available knowledge resource dedicated to COPD and combining genetic information with molecular, physiological and clinical data as well as mathematical modelling. Its integrated analysis functions provide overviews about clinical trends and connections while its semantically mapped content enables complex analysis approaches. We plan to further extend the COPDKB by offering it as a repository to publish and semantically integrate data from relevant clinical trials. The COPDKB is freely available after registration at http://www.copdknowledgebase.eu.

  3. Knowledge-based Telecom Industry

    OpenAIRE

    Vinje, Villeman; Nordkvelde, Marius

    2011-01-01

    BI Norwegian School of Management is conducting a national research project entitled “A knowledge-based Norway”. Thirteen major knowledge-based industries in Norway are being analyzed under the auspices of the project. This study assesses the underlying properties of a global knowledge hub to examine the extent to which the Norwegian telecom industry – which encompasses all telecom firms located in Norway regardless of ownership – constitutes a global knowledge hub. It commences with a ge...

  4. Knowledge sharing in industrial research

    NARCIS (Netherlands)

    Berends, J.J.

    2003-01-01

    Over the past decade, the field of organization studies has increasingly focused on knowledge and knowledge processes in organizations. This thesis describes a study of one of those processes, knowledge sharing, in the context of industrial research. Though the attention for knowledge in

  5. Towards a common knowledge base for nuclear research: A challenge for the stakeholders community and for the EC

    International Nuclear Information System (INIS)

    Goethem, G. van

    2004-01-01

    At the Lisbon 2000 Summit, a strategic goal was proposed for the European Union: 'to become the most competitive knowledge-based economy with more and better employment and social cohesion by 2010'. Overall, in particular in the nuclear fission community, this EC initiative was well accepted by the main stakeholders. In Europe, the main stakeholders (i.e. suppliers and/or demanders) of nuclear knowledge are actually: the research organisations with mixed public/private funding), the manufacturing industry (or vendors), the utilities and waste management organisations, the regulatory bodies (or technical safety organisations/TSOs) and the academia. In the nuclear fission research area, under Euratom FP-5 (1998-2002), criticism was raised by a number of 'high level experts' that too many Community efforts were devoted to production (e.g. through execution of shared cost actions) and not enough to dissemination and transfer (e.g. through education and training) and exploitation (e.g. through innovation) of nuclear knowledge. They were also complaining about the wasted resources due to the 'fragmentation' of EU research. As far as production of nuclear fission knowledge is concerned, a variety of poles (or fragments) of scientific research and operational feedback does exist in many countries but there is no clear common strategy on how to integrate these fragments at European level with a long term prospect. As far as dissemination and transfer of nuclear knowledge is concerned, the situation in some EU-25 countries is dramatic: mostly due to a bad public perception of nuclear energy, the lack of teachers and students becomes a serious concern. As far as exploitation of nuclear knowledge is concerned, all stakeholders are concerned about the unfair balance between supply and demand of knowledge, and about the relatively poor impact of research on technological and societal changes. In conclusion, from a EU research point of view, the solutions to the above 'nuclear

  6. Employing Model-Based Reasoning in Interdisciplinary Research Teams: Evidence-Based Practices for Integrating Knowledge Across Systems

    Science.gov (United States)

    Pennington, D. D.; Vincent, S.

    2017-12-01

    The NSF-funded project "Employing Model-Based Reasoning in Socio-Environmental Synthesis (EMBeRS)" has developed a generic model for exchanging knowledge across disciplines that is based on findings from the cognitive, learning, social, and organizational sciences addressing teamwork in complex problem solving situations. Two ten-day summer workshops for PhD students from large, NSF-funded interdisciplinary projects working on a variety of water issues were conducted in 2016 and 2017, testing the model by collecting a variety of data, including surveys, interviews, audio/video recordings, material artifacts and documents, and photographs. This presentation will introduce the EMBeRS model, the design of workshop activities based on the model, and results from surveys and interviews with the participating students. Findings suggest that this approach is very effective for developing a shared, integrated research vision across disciplines, compared with activities typically provided by most large research projects, and that students believe the skills developed in the EMBeRS workshops are unique and highly desireable.

  7. The Present of Environmental Psychology Researches in China: Base on the Bibliometric Analysis and Knowledge Mapping

    Science.gov (United States)

    Xu, Junhua; Wang, Qi; Zhu, Leiye; Qing, Wu; Jin, Meidong; Zhang, Rui; Wang, Haibin

    2018-03-01

    Environmental psychology is an interdisciplinary field that focuses on the interplay between individuals and their surroundings. Chinese researchers conducted extensive research on the field and produced a wealth of academic achievements, especially on the application of environmental psychology, such as the protection of minority towns and villages and the prevention and solution of air pollution. To reveal the current situation of the researches in China, 388 related papers from the China National Knowledge Infrastructure (CNKI) were analyzed by bibliometric and Knowledge Mapping. The results show that: (1) these studies stared since 1982 and demonstrated a year-on-year growth trend since 2001, which reaches a historical peak in 2016. Peiwen Zhan, Hu Zhao and Xiaofeng Lu top the list with a total of eighteen articles and Heilongjiang University is the best performer among the contributing organizations. (2)“Environmental Psychology” is the most frequently cited keywords and “Environmental perception”, “Physical environment” and “living environment” have the longest span of the bursts. the top seven largest clusters, which were environment, surroundings, application, privacy, environmental perception environmental art and physical environment.

  8. "Research-Based" and "Profession-Oriented" as Prominent Knowledge Discourses in Curriculum Restructuring of Professional Programs

    Science.gov (United States)

    Afdal, Hilde W.

    2017-01-01

    This article questions what kind of actors become involved and analyzes what forms of knowledge are activated, when discourses such as "research-based" and "profession-oriented" become basic preconditions in national curriculum change processes in Norway. A "mapping" is conducted, comprised of actors and ideas, played…

  9. Monitoring Knowledge Base (MKB)

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Monitoring Knowledge Base (MKB) is a compilation of emissions measurement and monitoring techniques associated with air pollution control devices, industrial...

  10. Knowledge Based Economy Assessment

    OpenAIRE

    Madalina Cristina Tocan

    2012-01-01

    The importance of knowledge-based economy (KBE) in the XXI century is evident. In the article the reflection of knowledge on economy is analyzed. The main point is targeted to the analysis of characteristics of knowledge expression in economy and to the construction of structure of KBE expression. This allows understanding the mechanism of functioning of knowledge economy. The authors highlight the possibility to assess the penetration level of KBE which could manifest itself trough the exist...

  11. The Knowledge Management Research of Agricultural Scientific Research Institution

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Based on the perception of knowledge management from experts specializing in different fields,and experts at home and abroad,the knowledge management of agricultural scientific research institution can build new platform,offer new approach for realization of explicit or tacit knowledge,and promote resilience and innovative ability of scientific research institution.The thesis has introduced functions of knowledge management research of agricultural science.First,it can transform the tacit knowledge into explicit knowledge.Second,it can make all the scientific personnel share knowledge.Third,it is beneficial to the development of prototype system of knowledge management.Fourth,it mainly researches the realization of knowledge management system.Fifth,it can manage the external knowledge via competitive intelligence.Sixth,it can foster talents of knowledge management for agricultural scientific research institution.Seventh,it offers the decision-making service for leaders to manage scientific program.The thesis also discusses the content of knowledge management of agricultural scientific research institution as follows:production and innovation of knowledge;attainment and organizing of knowledge;dissemination and share of knowledge;management of human resources and the construction and management of infrastructure.We have put forward corresponding countermeasures to further reinforce the knowledge management research of agricultural scientific research institution.

  12. Excellence in the Knowledge-Based Economy: From Scientific to Research Excellence

    Science.gov (United States)

    Sørensen, Mads P.; Bloch, Carter; Young, Mitchell

    2016-01-01

    In 2013, the European Union (EU) unveiled its new "Composite Indicator for Scientific and Technological Research Excellence." This is not an isolated occurrence; policy-based interest in excellence is growing all over the world. The heightened focus on excellence and, in particular, attempts to define it through quantitative indicators…

  13. Evaluation of a cartoon-based knowledge dissemination intervention on scientific and ethical challenges raised by nutrigenomics/nutrigenetics research.

    Science.gov (United States)

    Lafrenière, Darquise; Hurlimann, Thierry; Menuz, Vincent; Godard, Béatrice

    2014-10-01

    The push for knowledge translation on the part of health research funding agencies is significant in Canada, and many strategies have been adopted to promote the conversion of knowledge into action. In recent years, an increasing number of health researchers have been studying arts-based interventions to transform knowledge into action. This article reports on the results of an online questionnaire aimed at evaluating the effectiveness of a knowledge dissemination intervention (KDI) conveying findings from a study on the scientific and ethical challenges raised by nutrigenomics-nutrigenetics (NGx) research. The KDI was based on the use of four Web pages combining original, interactive cartoon-like illustrations accompanied by text to disseminate findings to Canadian Research Ethics Boards members, as well as to NGx researchers and researchers in ethics worldwide. Between May and October 2012, the links to the Web pages were sent in a personal email to target audience members, one thematic Web page at a time. On each thematic Web page, members of the target audience were invited to answer nine evaluation questions assessing the effectiveness of the KDI on four criteria, (i) acquisition of knowledge; (ii) change in initial understanding; (iii) generation of questions from the findings; and (iv) intent to change own practice. Response rate was low; results indicate that: (i) content of the four Web pages did not bring new knowledge to a majority of the respondents, (ii) initial understanding of the findings did not change for a majority of NGx researchers and a minority of ethics respondents, (iii) although the KDI did raise questions for respondents, it did not move them to change their practice. While target end-users may not feel that they actually learned from the KDI, it seems that the findings conveyed encouraged reflection and raised useful and valuable questions for them. Moreover, the evaluation of the KDI proved to be useful to gain knowledge about our

  14. Knowledge production status of Iranian researchers in the gastric cancer area: based on the medline database.

    Science.gov (United States)

    Ghojazadeh, Morteza; Naghavi-Behzad, Mohammad; Nasrolah-Zadeh, Raheleh; Bayat-Khajeh, Parvaneh; Piri, Reza; Mirnia, Keyvan; Azami-Aghdash, Saber

    2014-01-01

    Scientometrics is a useful method for management of financial and human resources and has been applied many times in medical sciences during recent years. The aim of this study was to investigate the status of science production by Iranian scientists in the gastric cancer field based on the Medline database. In this descriptive-cross sectional study Iranian science production concerning gastric cancer during 2000-2011 was investigated based on Medline. After two stages of searching, 121 articles were found, then we reviewed publication date, authors names, journal title, impact factor (IF), and cooperation coefficient between researchers. SPSS.19 was used for statistical analysis. There was a significant increase in published articles about gastric cancer by Iranian researchers in Medline database during 2006-2011. Mean cooperation coefficient between researchers was 6.14±3.29 person per article. Articles of this field were published in 19 countries and 56 journals. Those basex in Thailand, England, and America had the most published Iranian articles. Tehran University of Medical Sciences and Mohammadreza Zali had the most outstanding role in publishing scientific articles. According to results of this study, improving cooperation of researchers in conducting research and scientometric studies about other fields may have an important role in increasing both quality and quantity of published studies.

  15. The Present of Architectural Psychology Researches in China- Based on the Bibliometric Analysis and Knowledge Mapping

    Science.gov (United States)

    Zhu, LeiYe; Wang, Qi; Xu, JunHua; Wu, Qing; Jin, MeiDong; Liao, RongJun; Wang, HaiBin

    2018-03-01

    Architectural Psychology is an interdisciplinary subject of psychology and architecture that focuses on architectural design by using Gestalt psychology, cognitive psychology and other related psychology principles. Researchers from China have achieved fruitful achievements in the field of architectural psychology during past thirty-three years. To reveal the current situation of the field in China, 129 related papers from the China National Knowledge Infrastructure (CNKI) were analyzed by CiteSpace II software. The results show that: (1) the studies of the field in China have been started since 1984 and the annual number of the papers increased dramatically from 2008 and reached a historical peak in 2016. Shanxi Architecture tops the list of contributing publishing journals; Wuhan University, Southwest Jiaotong University and Chongqing University are the best performer among the contributing organizations. (2) “Environmental Psychology”, “Architectural Design” and “Architectural Psychology” are the most frequency keywords. The frontiers of the field in China are “architectural creation” and “environmental psychology” while the popular research topics were“residential environment”, “spatial environment”, “environmental psychology”, “architectural theory” and “architectural psychology”.

  16. The construction and use of a knowledge base in the real-time control of research reactor power

    International Nuclear Information System (INIS)

    Bernard, J.A.

    1986-01-01

    The construction of a knowledge base and its use in developing a rule-based methodology for the transient, closed-loop, digital control of the power on the 5 MWt MIT Research Reactor (MITR-II) is described. Material is first presented on the nature of the control task, the procedure used for knowledge acquisition, the contents of the knowledge base, the verification of the information contained therein, and the use of 'fuzzy' logic to represent that knowledge. The rationale, structure, and implementation of a possible set of conditional rules for the transient control of the MITR-II's power is then described together with the results of a successful experimental trial of this rule-based controller. The possible role of the rule-based approach in process control is discussed. The proposal is made that rule-based and analytic technologies should be merged in order to obtain a robust controller capable of displaying both the sequence and 'reasoning' of its automatic actions to human supervisory personnel

  17. Knowledge Exchange and Management Research

    DEFF Research Database (Denmark)

    Bager, Torben

    2018-01-01

    for ‘interesting’ discoveries has a potential to lift off papers with a high level of scientific rigor as well as a high level of relevance for practice. Originality: An outcome focus on the relationship between knowledge exchange activities and management research is to our knowledge new in the debate about......Purpose: The growing involvement of management researchers in knowledge exchange activities and collaborative research does not seem to be reflected in a growing academic output. The purpose of this paper is to explore barriers for academic output from these activities as well as the potential...... derived from knowledge exchange activities and Mode 2 research into academic papers such as low priority of case study research in leading management journals, a growing practice orientation in the research funding systems, methodological challenges due to limited researcher control, and disincentives...

  18. An approach to development of ontological knowledge base in the field of scientific and research activity in Russia

    Science.gov (United States)

    Murtazina, M. Sh; Avdeenko, T. V.

    2018-05-01

    The state of art and the progress in application of semantic technologies in the field of scientific and research activity have been analyzed. Even elementary empirical comparison has shown that the semantic search engines are superior in all respects to conventional search technologies. However, semantic information technologies are insufficiently used in the field of scientific and research activity in Russia. In present paper an approach to construction of ontological model of knowledge base is proposed. The ontological model is based on the upper-level ontology and the RDF mechanism for linking several domain ontologies. The ontological model is implemented in the Protégé environment.

  19. Knowledge sharing behaviour within organisations; A diary-based study of unplanned meetings between researchers

    NARCIS (Netherlands)

    Appel-Meulenbroek, Rianne; Weggeman, Mathieu; Torkkeli, Marko

    2018-01-01

    This paper analyses Knowledge Sharing (KS) behaviour of employees during unplanned, work-related face-to-face meetings with colleagues. Hypotheses were formulated from theory on how this behaviour relates to three categories of known KS antecedents (knowledge components, organisational distance, and

  20. Knowledge Acquisition Using Linguistic-Based Knowledge Analysis

    Science.gov (United States)

    Daniel L. Schmoldt

    1998-01-01

    Most knowledge-based system developmentefforts include acquiring knowledge from one or more sources. difficulties associated with this knowledge acquisition task are readily acknowledged by most researchers. While a variety of knowledge acquisition methods have been reported, little has been done to organize those different methods and to suggest how to apply them...

  1. Marketing based on knowledge as a basis for strategy of research institution – on the example of the Packaging Research Institute

    Directory of Open Access Journals (Sweden)

    Stanislaw Tkaczyk

    2013-09-01

    Full Text Available Basis for marketing activities of COBRO – Packaging Research Institute are two main issues. First of all, as a small research and development centre, COBRO has no funds to carry out specialized marketing department. On the other hand, due to huge growth of packaging market, all needs of stakeholders – companies but also other research institutions seeking consortium members – cannot be entirely identified or forecasted, and practical solutions are created in the course of cooperation. For all that reasons Institute has developed its own concept of the knowledge-based marketing, which means more flexible use of the potential of academics and research employees.

  2. Knowledge-based utility

    International Nuclear Information System (INIS)

    Chwalowski, M.

    1997-01-01

    This presentation provides industry examples of successful marketing practices by companies facing deregulation and competition. The common thread through the examples is that long term survival of today's utility structure is dependent on the strategic role of knowledge. As opposed to regulated monopolies which usually own huge physical assets and have very little intelligence about their customers, unregulated enterprises tend to be knowledge-based, characterized by higher market value than book value. A knowledge-based enterprise gathers data, creates information and develops knowledge by leveraging it as a competitive weapon. It institutionalizes human knowledge as a corporate asset for use over and over again by the use of databases, computer networks, patents, billing, collection and customer services (BCCS), branded interfaces and management capabilities. Activities to become knowledge-based such as replacing inventory/fixed assets with information about material usage to reduce expenditure and achieve more efficient operations, and by focusing on integration and value-adding delivery capabilities, were reviewed

  3. Exploring Knowledge Processes Based on Teacher Research in a School-University Research Network of a Master's Program

    Science.gov (United States)

    Cornelissen, Frank; van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo

    2013-01-01

    School-university research networks aim at closer integration of research and practice by means of teacher research. Such practice-oriented research can benefit both schools and universities. This paper reports on a multiple-case study of five participants in a school-university research network in a Dutch master's program. The research question…

  4. Organizational Behavior in the Knowledge Based Society, a Practical Research in the Romanian Business Environment

    OpenAIRE

    Armenia ANDRONICEANU

    2011-01-01

    The paper contains the results of a special research developed by the author on the organizational behavior in some multinational companies with branches in Romania. This research is confirming the fact that the organizational behavior is very much influenced by the core organizational values and is answering to the questions about how people, individuals, and groups act in organizations and why. The research demonstrated how the core values of an organization are influencing the organization...

  5. Understanding the Validity of Data: A Knowledge-Based Network Underlying Research Expertise in Scientific Disciplines

    Science.gov (United States)

    Roberts, Ros

    2016-01-01

    This article considers what might be taught to meet a widely held curriculum aim of students being able to understand research in a discipline. Expertise, which may appear as a "chain of practice," is widely held to be underpinned by networks of understanding. Scientific research expertise is considered from this perspective. Within…

  6. Knowledge based maintenance

    Energy Technology Data Exchange (ETDEWEB)

    Sturm, A [Hamburgische Electacitaets-Werke AG Hamburg (Germany)

    1998-12-31

    The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)

  7. Knowledge based maintenance

    Energy Technology Data Exchange (ETDEWEB)

    Sturm, A. [Hamburgische Electacitaets-Werke AG Hamburg (Germany)

    1997-12-31

    The establishment of maintenance strategies is of crucial significance for the reliability of a plant and the economic efficiency of maintenance measures. Knowledge about the condition of components and plants from the technical and business management point of view therefore becomes one of the fundamental questions and the key to efficient management and maintenance. A new way to determine the maintenance strategy can be called: Knowledge Based Maintenance. A simple method for determining strategies while taking the technical condition of the components of the production process into account to the greatest possible degree which can be shown. A software with an algorithm for Knowledge Based Maintenance leads the user during complex work to the determination of maintenance strategies for this complex plant components. (orig.)

  8. One knowledge base or many knowledge pools?

    DEFF Research Database (Denmark)

    Lundvall, Bengt-Åke

    It is increasingly realized that knowledge is the most important resource and that learning is the most important process in the economy. Sometimes this is expressed by coining the current era as characterised by a ‘knowledge based economy'. But this concept might be misleading by indicating...... that there is one common knowledge base on which economic activities can be built. In this paper we argue that it is more appropriate to see the economy as connecting to different ‘pools of knowledge'. The argument is built upon a conceptual framework where we make distinctions between private/public, local....../global, individual/collective and tacit/codified knowledge. The purpose is both ‘academic' and practical. Our analysis demonstrates the limits of a narrowly economic perspective on knowledge and we show that these distinctions have important implications both for innovation policy and for management of innovation....

  9. Knowledge based Entrepreneurship

    DEFF Research Database (Denmark)

    Heebøll, John

    This book is dedicated enterprising people with a technical or a scientific background who consider commercializing ideas and inventions within their field of expertise via a new business activity or a new company. It aims at distilling experiences from many successful and not so successful start......-up ventures from the Technical University of Denmark, 1988 – 2008 into practical, portable knowledge that can be used by future knowledge-based entrepreneurs to set up new companies efficiently or to stay away from it; to do what’s needed and avoid the pitfalls....

  10. Determining the object structure of ecological and economic research and knowledge base for decision support

    International Nuclear Information System (INIS)

    Kozulia, T.V.; Kozulia, M.M.

    2017-01-01

    The mathematical model of natural-technogenic objects is substantiated in the article. Natural-technogenic object of research is defined in form of a system model, which includes the economic, ecological and social components and processes system occurring in the selected systems and in their interaction. Basis for introduction systematic analysis methods for consistent problematic environmental safety tasks solution under conditions of uncertainty has been formed. The complex methods system includes entropy theory provisions on the objects state evaluation, the comparator identification method, substantively substantiated for solving complex environment quality assessment problems. An example of ecological state technogenically loaded landscape-geochemical complexes on the proposed methodological support studied in the work.

  11. Gender mainstreaming european transport research and policies. Building the knowledge base and mapping good practices

    Energy Technology Data Exchange (ETDEWEB)

    Roemer Christensen, H; Poulsen, H; Hjorth Oldrup, H; Malthesen, T; Hvidt Breengaard, M; Holmen, M

    2007-07-01

    This report documents that there are clear and persistent gender differences in travel patterns. Men consistently travel further than women, men are more likely to travel by car and women by public transport, and women's trips tend to be more local. Explanations to these differences are linked to unequal gendered relations in the household and labour market and urban structures as well as gender socialisation. This means that men and women make different uses of a shared system of transport. Transport is an overwhelmingly male-dominated sector. At the EU level, political committees in the transport sector as well as transport research and advisory boards have a marked gender imbalance with less than 15% female membership in most boards and none with equal representation. This also goes for transport-related committees at national levels. Yet with one notable exception: Sweden has a 50-50 balance in the National Transport Committee. Current gender mainstreaming initiatives in the transport sector relate to a wide range of issues: They relate to planning and policy, safety issues, gendering of technology as well as employment. The report substantiates that the implementation of equality programmes, and not their formulation makes up the biggest challenge. One programme does not solve all problems, but opens up new avenues for initiatives and intervention. Gender is a central stratifying factor in transport use at all levels. In order to provide a more complete picture of gender differences, and in order to qualify EU goals of combating multi-level inequalities, there is a need to link gender with the broader axes of inequalities, namely ethnicity, sexuality, age and handicap in future studies of transport and mobility. (au)

  12. Gender mainstreaming european transport research and policies. Building the knowledge base and mapping good practices

    Energy Technology Data Exchange (ETDEWEB)

    Roemer Christensen, H.; Poulsen, H.; Hjorth Oldrup, H.; Malthesen, T.; Hvidt Breengaard, M.; Holmen, M.

    2007-07-01

    This report documents that there are clear and persistent gender differences in travel patterns. Men consistently travel further than women, men are more likely to travel by car and women by public transport, and women's trips tend to be more local. Explanations to these differences are linked to unequal gendered relations in the household and labour market and urban structures as well as gender socialisation. This means that men and women make different uses of a shared system of transport. Transport is an overwhelmingly male-dominated sector. At the EU level, political committees in the transport sector as well as transport research and advisory boards have a marked gender imbalance with less than 15% female membership in most boards and none with equal representation. This also goes for transport-related committees at national levels. Yet with one notable exception: Sweden has a 50-50 balance in the National Transport Committee. Current gender mainstreaming initiatives in the transport sector relate to a wide range of issues: They relate to planning and policy, safety issues, gendering of technology as well as employment. The report substantiates that the implementation of equality programmes, and not their formulation makes up the biggest challenge. One programme does not solve all problems, but opens up new avenues for initiatives and intervention. Gender is a central stratifying factor in transport use at all levels. In order to provide a more complete picture of gender differences, and in order to qualify EU goals of combating multi-level inequalities, there is a need to link gender with the broader axes of inequalities, namely ethnicity, sexuality, age and handicap in future studies of transport and mobility. (au)

  13. Web Based Research Mapping and Analysis: ICT-AGRI's Meta Knowledge Base Centralizes ICT and Robotics Development in Agriculture and Related Environmental Issues

    Directory of Open Access Journals (Sweden)

    Koen C. Mertens

    2012-12-01

    Full Text Available Ample research is conducted on ICT, automation and robotics in agriculture and related environmental issues. ICT and Robotics innovations are rapidly emerging and have the ability to revolutionize future farming through their major impacts on productivity and profitability. Unfortunately human and financial resources and efforts are fragmented and limited. This led to the creation of the ICT-AGRI ERA-NET that provides a central structured framework. Its main objective is to strengthen and coordinate European research regarding ICT and robotics in agriculture. Besides the creation of the Meta Knowledge Base (MKB, a common European research agenda will be developed and common research calls are launched. The Meta Knowledge Base (http://db-ictagri.eu is attempting to map all relevant research and development within the selected research area. To accomplish the mapping, two types of information are collected: research profiles and research postings. To organize the postings, a three-dimensional task-technology oriented framework was designed. The results indicated that the three axes: task, technology and scope seemed insufficient to describe the whole research area. Therefore, an improved framework was developed. By extending the task-technology oriented framework with a process-control–information system, a useful framework was designed.

  14. Public Health System Research in Public Health Emergency Preparedness in the United States (2009-2015): Actionable Knowledge Base.

    Science.gov (United States)

    Savoia, Elena; Lin, Leesa; Bernard, Dottie; Klein, Noah; James, Lyndon P; Guicciardi, Stefano

    2017-09-01

    communication barriers experienced by public health and health care personnel. Forty-eight studies provided evidence on how to create and sustain preparedness systems. Results included how to build social capital across organizations and citizens and how to develop sustainable and useful planning efforts that maintain flexibility and rely on available medical data. Twenty-six studies provided evidence on the usefulness of measurement efforts, such as community and organizational needs assessments, and new methods to learn from the response to critical incidents. In the United States, the field of public health emergency preparedness system research has been supported by the US Centers for Disease Control and Prevention since the release of the 2008 Institute of Medicine letter report. The first definition of public health emergency preparedness appeared in 2007, and before 2008 there was a lack of research and empirical evidence across all 4 research areas identified by the Institute of Medicine. This field can be considered relatively new compared with other research areas in public health; for example, tobacco control research can rely on more than 70 years of knowledge production. However, this review demonstrates that, during the past 7 years, public health emergency preparedness system research has evolved from generic inquiry to the analysis of specific interventions with more empirical studies. Public Health Implications: The results of this review provide an evidence base for public health practitioners responsible for enhancing key components of preparedness and response such as communication, training, and planning efforts.

  15. Knowledge Asymmetries Between Research and Practice

    DEFF Research Database (Denmark)

    Noe, Egon; Alrøe, Hugo Fjelsted; Thorsøe, Martin Hvarregaard

    2015-01-01

    This article discusses the problem of implementing scientific knowledge in practice. The discussion is based on a case study of barriers to implementing research-based principles of sustainable organic arable farming. The current literature tends to see this problem either as a dissemination issu...

  16. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

    OpenAIRE

    Li, Chunhua; Zhao, Pengpeng; Sheng, Victor S.; Xian, Xuefeng; Wu, Jian; Cui, Zhiming

    2017-01-01

    Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality i...

  17. Organizational knowledge building through action research

    DEFF Research Database (Denmark)

    Hansen, Lone Hersted; Frimann, Søren

    learning and change processes in relation to organizational knowledge building and knowledge sharing. The project draws on the dialogue tradition within action research (Coghlan et al.; 2010; Reason & Bradbury, 2001; Ripamonti et al 2016) and social constructionist ideas (Cunliffe 2002, 2004; Gergen 2003...... 2005; Chia 1996; Tsoukas, & Chia (2002)) based on a dialogical approach. Two internal consultants fulfill the roles as process facilitators of the action research process, and the two researchers from Aalborg University (LH and SF) are contributing with ideas, sparring, qualitative research design...... in a collaborative setting for learning, involving employees and managers, including as well the sharing of knowledge throughout the organization? In addition, we are curious to examine whether action research as an inquiry for learning and change can act as an alternative to the New Public Management paradigm...

  18. Knowledge Operation Capability Evaluation Model and Strategic Orientation of Supply Chain: Exploratory Research Based on View of Ecology

    Science.gov (United States)

    Zhou, Wen-Yong; Song, Ze-Qian

    The competitiveness of Supply Chain (SC) correlates intimately with its knowledge operation (KO). In order to realize better assessment value, this paper constructed an evaluation framework on knowledge operation of SC and a detailed index system. According to theory of ecology, expounded the evaluation orientation and future research direction from view of comprehensiveness and adaptability. Additionally, a case about Toyota recall-gate was analyzed. Through research, it provides two dimensions of results evaluating orientation which may help enterprise make right decision upon SC.

  19. The knowledge base of journalism

    DEFF Research Database (Denmark)

    Svith, Flemming

    In this paper I propose the knowledge base as a fruitful way to apprehend journalism. With the claim that the majority of practice is anchored in knowledge – understood as 9 categories of rationales, forms and levels – this knowledge base appears as a contextual look at journalists’ knowledge......, and place. As an analytical framework, the knowledge base is limited to understand the practice of newspaper journalists, but, conversely, the knowledge base encompasses more general beginnings through the inclusion of overall structural relationships in the media and journalism and general theories...... on practice and knowledge. As the result of an abductive reasoning is a theory proposal, there is a need for more deductive approaches to test the validity of this knowledge base claim. It is thus relevant to investigate which rationales are included in the knowledge base of journalism, as the dimension does...

  20. Design Research: Aesthetic Epistemology and Explanatory Knowledge

    Directory of Open Access Journals (Sweden)

    Peter Murphy

    Full Text Available The article explores the “what” and the “how” of design research. It discusses the epistemological assumptions of design and design research—the conception of true knowledge that underpins the quest to advance design knowledge through research. The article also examines the media and methods of doing design research—that is, the “how” of such research. As it developed over the past century, the design field has drawn extensively on three pivotal but often tacitly deployed epistemologies: the Platonic-Aristotelian, the pragmatic, and the postmodern. Platonic epistemology is latent in many commonplace design instruction texts. Pragmatic epistemology underscores the industrial-arts ethos of design. Postmodern epistemologies dominate in university programs—especially graduate and Ph.D. programs. The article considers how these competing epistemologies understand the role of imagination in the act of creation. The article then considers the role of explanation in the carrying out of research in creative design and arts fields. It addresses whether, and to what degree, design research ought to rely on explanatory words as its principal medium of research, or whether it is valid to substitute artifactual creation for intellectual explanation in the research process. Key words: Epistemology, Design, Imagination, Knowledge, Explanation, Practice-based research

  1. Logically automorphically equivalent knowledge bases

    OpenAIRE

    Aladova, Elena; Plotkin, Tatjana

    2017-01-01

    Knowledge bases theory provide an important example of the field where applications of universal algebra and algebraic logic look very natural, and their interaction with practical problems arising in computer science might be very productive. In this paper we study the equivalence problem for knowledge bases. Our interest is to find out how the informational equivalence is related to the logical description of knowledge. Studying various equivalences of knowledge bases allows us to compare d...

  2. Tools for the Knowledge-Based Organization

    DEFF Research Database (Denmark)

    Ravn, Ib

    2002-01-01

    exist. They include a Master’s degree in knowledge management, a web- or print-based intelligence hub for the knowledge society, collaboration with the Danish intellectual capital reporting project, ongoing research on expertise and ethics in knowledge workers, a comparative study of competence...

  3. Locally Based Research and Development Units as Knowledge Brokers and Change Facilitators in Health and Social Care of Older People in Sweden

    Science.gov (United States)

    Nyström, Monica Elisabeth; Hansson, Johan; Garvare, Rickard; Andersson-Bäck, Monica

    2015-01-01

    This article investigates the role of locally based research and development units (R&Ds) focusing on health and social services. Nearly 300 local R&Ds are funded by the Swedish government with the intention to facilitate knowledge transfer and development of high quality and effective health and social care organisations. Based on…

  4. Machine intelligence and knowledge bases

    Energy Technology Data Exchange (ETDEWEB)

    Furukawa, K

    1981-09-01

    The basic functions necessary in machine intelligence are a knowledge base and a logic programming language such as PROLOG using deductive reasoning. Recently inductive reasoning based on meta knowledge and default reasoning have been developed. The creative thought model of Lenit is reviewed and the concept of knowledge engineering is introduced. 17 references.

  5. Foundation: Transforming data bases into knowledge bases

    Science.gov (United States)

    Purves, R. B.; Carnes, James R.; Cutts, Dannie E.

    1987-01-01

    One approach to transforming information stored in relational data bases into knowledge based representations and back again is described. This system, called Foundation, allows knowledge bases to take advantage of vast amounts of pre-existing data. A benefit of this approach is inspection, and even population, of data bases through an intelligent knowledge-based front-end.

  6. Knowledge Based Health

    OpenAIRE

    Sasson, Amir

    2011-01-01

    In this study, we assess the underlying properties of a global knowledge hub to examine the extent to which the Norwegian health industry constitutes such a hub. We begin with a general discussion of the industry before we examine the underlying properties of global knowledge hubs: cluster attractiveness, educational attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics. We conclude by providin...

  7. Validation Of Critical Knowledge-Based Systems

    Science.gov (United States)

    Duke, Eugene L.

    1992-01-01

    Report discusses approach to verification and validation of knowledge-based systems. Also known as "expert systems". Concerned mainly with development of methodologies for verification of knowledge-based systems critical to flight-research systems; e.g., fault-tolerant control systems for advanced aircraft. Subject matter also has relevance to knowledge-based systems controlling medical life-support equipment or commuter railroad systems.

  8. From the Editors: Resource Centers for Learning and Research (RCLR), and strategic librarian’s services for an Europe based on knowledge

    OpenAIRE

    Sílvia Sunyer Lazaro

    2006-01-01

    The development processes of the European Space for Higher Education (ESHE) and the European Research Area (ERA) are two big challenges that European Union must face, if it has to evolve from an industry-based society to a knowledge-based one. The goals fixed by ESHE and ESR fully affect the main activities of higher education: learning, teaching and research. Being a supporting facility for these activities, university libraries are affected by these processes too. To face that challeng...

  9. Knowledge Economy and Research Innovation

    Science.gov (United States)

    Bastalich, Wendy

    2010-01-01

    The "knowledge economy" has been received with considerable scepticism by scholars within the fields of political economy, social and political philosophy, and higher education. Key arguments within this literature are reviewed in this article to suggest that, despite policy claims, "knowledge economy" does not describe a "new" mode of economic…

  10. Exchanging Description Logic Knowledge Bases

    NARCIS (Netherlands)

    Arenas, M.; Botoeva, E.; Calvanese, D.; Ryzhikov, V.; Sherkhonov, E.

    2012-01-01

    In this paper, we study the problem of exchanging knowledge between a source and a target knowledge base (KB), connected through mappings. Differently from the traditional database exchange setting, which considers only the exchange of data, we are interested in exchanging implicit knowledge. As

  11. Knowledge management based organizations

    Directory of Open Access Journals (Sweden)

    Manev Gjorgji

    2015-01-01

    Full Text Available Accomplishment of the goals set by a business organization implies implementation of knowledge management. It allows coordination of the working processes with the information technologies, with a view to adapting the organization's operations to the problems encountered. Overcoming these problems involves designing and implementation of complex business systems supported by information technology. This can be achieved by management that will monitor the business processes through clear indicators, with the purpose of accomplishing the preset strategic goals. This managerial staff must be fully devoted and committed to their work, to learning and creation of expertise that will help overcome the competition challenges.

  12. Research Networks, Mentorship and Sustainability Knowledge

    Science.gov (United States)

    Kafle, A.; Mukhopadhyay, P.; Nepal, M.; Shyamsundar, P.

    2015-12-01

    In South Asia, a majority of institutions are ill-equipped to undertake research on multi-disciplinary environmental problems, though these problems are increasing at a fast rate and connected to the region's poverty and growth objectives. In this context, the South Asian Network for Development and Environmental Economics (SANDEE) tries to fill a research, training and knowledge gap by building skills in the area of Environment and Development Economics. In this paper, the authors argue that research networks contribute to the growth of sustainability knowledge through (a) knowledge creation, (b) knowledge transfer and (c) knowledge deepening. The paper tries to show the relationship between capacity building, mentorship and research scholarship. It demonstrates that researchers, by associating with the network and its multiple training and mentoring processes, are able to build skills, change curricula and deliver useful knowledge products. The paper discusses the need for interdisciplinary research and the challenges of bridging the gap between research outputs and policy reforms.

  13. Fuzzy knowledge bases integration based on ontology

    OpenAIRE

    Ternovoy, Maksym; Shtogrina, Olena

    2012-01-01

    the paper describes the approach for fuzzy knowledge bases integration with the usage of ontology. This approach is based on metadata-base usage for integration of different knowledge bases with common ontology. The design process of metadata-base is described.

  14. Expert knowledge maps for knowledge management: a case study in Traditional Chinese Medicine research.

    Science.gov (United States)

    Cui, Meng; Yang, Shuo; Yu, Tong; Yang, Ce; Gao, Yonghong; Zhu, Haiyan

    2013-10-01

    To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model. The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography. Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.

  15. Team knowledge research: emerging trends and critical needs.

    Science.gov (United States)

    Wildman, Jessica L; Thayer, Amanda L; Pavlas, Davin; Salas, Eduardo; Stewart, John E; Howse, William R

    2012-02-01

    This article provides a systematic review of the team knowledge literature and guidance for further research. Recent research has called attention to the need for the improved study and understanding of team knowledge. Team knowledge refers to the higher level knowledge structures that emerge from the interactions of individual team members. We conducted a systematic review of the team knowledge literature, focusing on empirical work that involves the measurement of team knowledge constructs. For each study, we extracted author degree area, study design type, study setting, participant type, task type, construct type, elicitation method, aggregation method, measurement timeline, and criterion domain. Our analyses demonstrate that many of the methodological characteristics of team knowledge research can be linked back to the academic training of the primary author and that there are considerable gaps in our knowledge with regard to the relationships between team knowledge constructs, the mediating mechanisms between team knowledge and performance, and relationships with criteria outside of team performance, among others. We also identify categories of team knowledge not yet examined based on an organizing framework derived from a synthesis of the literature. There are clear opportunities for expansion in the study of team knowledge; the science of team knowledge would benefit from a more holistic theoretical approach. Human factors researchers are increasingly involved in the study of teams. This review and the resulting organizing framework provide researchers with a summary of team knowledge research over the past 10 years and directions for improving further research.

  16. Educational research and knowledge policy

    DEFF Research Database (Denmark)

    Rasmussen, Palle

    2009-01-01

    The paper is structured in three main sections. The first is a general description of educational research in Denmark and the types of quality assessment used. The second is a discussion of a particular instance of quality assessment, the 2004 OECD review of educational research in Denmark and its...... consequences. The third is a critical discussion of some influential current notions about quality in educational research.   ...

  17. Japan InK: Distributing the Information Networked Knowledge (InK) Base to the Japanese Research Community.

    Science.gov (United States)

    Naito, Eisuke

    This paper discusses knowledge management (KM) in relation to a shared cataloging system in Japanese university libraries. The first section describes the Japanese scene related to knowledge management and the working environment, including the SECI (Socialization, Externalization, Combination, Internalization) model, the context of knowledge, and…

  18. Community-based knowledge translation: unexplored opportunities

    Directory of Open Access Journals (Sweden)

    Armstrong Rebecca

    2011-06-01

    Full Text Available Abstract Background Knowledge translation is an interactive process of knowledge exchange between health researchers and knowledge users. Given that the health system is broad in scope, it is important to reflect on how definitions and applications of knowledge translation might differ by setting and focus. Community-based organizations and their practitioners share common characteristics related to their setting, the evidence used in this setting, and anticipated outcomes that are not, in our experience, satisfactorily reflected in current knowledge translation approaches, frameworks, or tools. Discussion Community-based organizations face a distinctive set of challenges and concerns related to engaging in the knowledge translation process, suggesting a unique perspective on knowledge translation in these settings. Specifically, community-based organizations tend to value the process of working in collaboration with multi-sector stakeholders in order to achieve an outcome. A feature of such community-based collaborations is the way in which 'evidence' is conceptualized or defined by these partners, which may in turn influence the degree to which generalizable research evidence in particular is relevant and useful when balanced against more contextually-informed knowledge, such as tacit knowledge. Related to the issues of evidence and context is the desire for local information. For knowledge translation researchers, developing processes to assist community-based organizations to adapt research findings to local circumstances may be the most helpful way to advance decision making in this area. A final characteristic shared by community-based organizations is involvement in advocacy activities, a function that has been virtually ignored in traditional knowledge translation approaches. Summary This commentary is intended to stimulate further discussion in the area of community-based knowledge translation. Knowledge translation, and exchange

  19. Querying Natural Logic Knowledge Bases

    DEFF Research Database (Denmark)

    Andreasen, Troels; Bulskov, Henrik; Jensen, Per Anker

    2017-01-01

    This paper describes the principles of a system applying natural logic as a knowledge base language. Natural logics are regimented fragments of natural language employing high level inference rules. We advocate the use of natural logic for knowledge bases dealing with querying of classes...... in ontologies and class-relationships such as are common in life-science descriptions. The paper adopts a version of natural logic with recursive restrictive clauses such as relative clauses and adnominal prepositional phrases. It includes passive as well as active voice sentences. We outline a prototype...... for partial translation of natural language into natural logic, featuring further querying and conceptual path finding in natural logic knowledge bases....

  20. A Survey of Knowledge Management Research & Development at NASA Ames Research Center

    Science.gov (United States)

    Keller, Richard M.; Clancy, Daniel (Technical Monitor)

    2002-01-01

    This chapter catalogs knowledge management research and development activities at NASA Ames Research Center as of April 2002. A general categorization scheme for knowledge management systems is first introduced. This categorization scheme divides knowledge management capabilities into five broad categories: knowledge capture, knowledge preservation, knowledge augmentation, knowledge dissemination, and knowledge infrastructure. Each of nearly 30 knowledge management systems developed at Ames is then classified according to this system. Finally, a capsule description of each system is presented along with information on deployment status, funding sources, contact information, and both published and internet-based references.

  1. The Synergy of applying virtual collaboration tools and problem-based approach for development of knowledge sharing skills : empirical research

    OpenAIRE

    Schoop, Eric; Kriaučiūnienė, Roma; Brundzaitė, Rasa

    2004-01-01

    This article analyses the needs and possibilities to educate new type of virtual collaboration skills for the university students, who are currently studying in business and information systems area. We investigate the possibility to incorporate problem-based group learning and computer supported tools into university curricula. The empirical research results are presented, which summarize experiences of using the virtual collaborative learning (VCL) environment, provided by Business informat...

  2. Knowledge Loss: A Defensive Model In Nuclear Research Organization Memory

    International Nuclear Information System (INIS)

    Mohamad Safuan Bin Sulaiman; Muhd Noor Muhd Yunus

    2013-01-01

    Knowledge is an essential part of research based organization. It should be properly managed to ensure that any pitfalls of knowledge retention due to knowledge loss of both tacit and explicit is mitigated. Audit of the knowledge entities exist in the organization is important to identify the size of critical knowledge. It is very much related to how much know-what, know-how and know-why experts exist in the organization. This study conceptually proposed a defensive model for Nuclear Malaysia's organization memory and application of Knowledge Loss Risk Assessment (KLRA) as an important tool for critical knowledge identification. (author)

  3. Ontologies, Knowledge Bases and Knowledge Management

    National Research Council Canada - National Science Library

    Chalupsky, Hans

    2002-01-01

    ...) an application called Strategy Development Assistant (SDA) that uses that ontology. The JFACC ontology served as a basis for knowledge sharing among several applications in the domain of air campaign planning...

  4. Cooperative research and knowledge flow in the marine commons

    Directory of Open Access Journals (Sweden)

    Teresa R. Johnson

    2009-11-01

    Full Text Available Integration of fishers’ knowledge into scientific-based fisheries management is difficult due to a history of distrust between fishers and scientists and institutional constraints that limit management to only the best scientific information available. A recent response to the Northeast U.S. fisheries crisis has been to include fishers in scientific research. Cooperative research, where fishers and scientists collaborate to produce knowledge for fisheries management, aims improve the knowledge base of fisheries management and integrate fishers and their knowledge into the science policy process, which together is expected to generate broader acceptance of scientific-based management. Drawing on ethnographic research conducted in the Northeast U.S., this paper discusses the value of cooperative research as a tool for managing the commons. Specifically, it focuses on the flow of knowledge and expertise between fishers and scientists. The flow of knowledge from fishers to science involves a process of translation, where fishers’ knowledge is transformed (proven, verified, etc. into scientific knowledge. This process enables the flow of fishers’ knowledge into the science policy process. Knowledge and expertise also flow from scientists to fishers, where fishers gain understandings of the scientific research process. With this new expertise, fishers develop a greater capacity to participate in science and management discussions. The paper argues that 2-way knowledge flow between fishers and scientists, in particular flow that results in capacity building, can improve commons management through communication, translation, and conflict resolution. Finally, boundary spanners are identified as being critical to success in cooperative research.

  5. Latest research results on the effects of nanomaterials on humans and the environment: DaNa – Knowledge Base Nanomaterials

    International Nuclear Information System (INIS)

    Marquardt, C; Nau, K; Kühnel, D; Richter, V; Krug, H F; Mathes, B; Steinbach, C

    2013-01-01

    Nanotechnology is considered one of the key technologies of the 21st century. The success of this fascinating technology is based on its versatility. It will bring about fundamental changes of basic research as well as of many sectors of industry and also of daily life from electronics to the health care system. However, consumers often miss reliable and understandable information on nanomaterials and all aspects of this versatile technology. A huge body of data on the potential hazards of nanoobjects towards human and environmental health already exists, but is either not easily accessible for a broad audience or presented unprocessable for nonexperts. But risk communication is an essential and thus integral component of risk management. For that purpose, the DaNa-Project aims at filling this gap by collecting and evaluating scientific results in an interdisciplinary approach with scientists from different research areas, such as human and environmental toxicology, biology, physics, chemistry, and sociology. Research findings from the field of human and environmental nanotoxicology are being prepared and presented together with material properties and possible applications for interested laymen and stakeholders. For the evaluation of literature a 'Literature Criteria Checklist' has been developed as well as a Standard Operation Procedure template (SOP) based on careful scientific practice.

  6. Current trends on knowledge-based systems

    CERN Document Server

    Valencia-García, Rafael

    2017-01-01

    This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used...

  7. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    Directory of Open Access Journals (Sweden)

    Dragos CRISTEA

    2011-03-01

    Full Text Available This paper tries to present the existent relation between knowledge society and knowledge based economy. We will identify the main pillars of knowledge society and present their importance for the development of knowledge societies. Further, we will present two perspectives over knowledge societies, respectively science and learning perspectives, that directly affects knowledge based economies. At the end, we will conclude by identifying some important questions that must be answered regarding this new social paradigm.

  8. Qualitative Research and the Legitimization of Knowledge.

    Science.gov (United States)

    Atkinson, Brent; And Others

    1991-01-01

    Expresses concerns about importing qualitative research methods from education to family therapy. Argues that qualitative researchers cannot establish the trustworthiness of their findings, regardless of the methods they use. Further contends that the legitimacy of research knowledge cannot be determined by researchers, but rather requires the…

  9. Knowledge brokers in a knowledge network: the case of Seniors Health Research Transfer Network knowledge brokers.

    Science.gov (United States)

    Conklin, James; Lusk, Elizabeth; Harris, Megan; Stolee, Paul

    2013-01-09

    The purpose of this paper is to describe and reflect on the role of knowledge brokers (KBs) in the Seniors Health Research Transfer Network (SHRTN). The paper reviews the relevant literature on knowledge brokering, and then describes the evolving role of knowledge brokering in this knowledge network. The description of knowledge brokering provided here is based on a developmental evaluation program and on the experiences of the authors. Data were gathered through qualitative and quantitative methods, analyzed by the evaluators, and interpreted by network members who participated in sensemaking forums. The results were fed back to the network each year in the form of formal written reports that were widely distributed to network members, as well as through presentations to the network's members. The SHRTN evaluation and our experiences as evaluators and KBs suggest that a SHRTN KB facilitates processes of learning whereby people are connected with tacit or explicit knowledge sources that will help them to resolve work-related challenges. To make this happen, KBs engage in a set of relational, technical, and analytical activities that help communities of practice (CoPs) to develop and operate, facilitate exchanges among people with similar concerns and interests, and help groups and individuals to create, explore, and apply knowledge in their practice. We also suggest that the role is difficult to define, emergent, abstract, episodic, and not fully understood. The KB role within this knowledge network has developed and matured over time. The KB adapts to the social and technical affordances of each situation, and fashions a unique and relevant process to create relationships and promote learning and change. The ability to work with teams and to develop relevant models and feasible approaches are critical KB skills. The KB is a leader who wields influence rather than power, and who is prepared to adopt whatever roles and approaches are needed to bring about a valuable

  10. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

    Directory of Open Access Journals (Sweden)

    Chunhua Li

    2017-01-01

    Full Text Available Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

  11. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

    Science.gov (United States)

    Li, Chunhua; Zhao, Pengpeng; Sheng, Victor S; Xian, Xuefeng; Wu, Jian; Cui, Zhiming

    2017-01-01

    Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from perfect. In this paper, we leverage crowdsourcing to improve the quality of automatically extracted knowledge bases. As human labelling is costly, an important research challenge is how we can use limited human resources to maximize the quality improvement for a knowledge base. To address this problem, we first introduce a concept of semantic constraints that can be used to detect potential errors and do inference among candidate facts. Then, based on semantic constraints, we propose rank-based and graph-based algorithms for crowdsourced knowledge refining, which judiciously select the most beneficial candidate facts to conduct crowdsourcing and prune unnecessary questions. Our experiments show that our method improves the quality of knowledge bases significantly and outperforms state-of-the-art automatic methods under a reasonable crowdsourcing cost.

  12. Labouring in the Knowledge Fields: Researching Knowledge in Globalising Workspaces

    Science.gov (United States)

    Farrell, Lesley

    2006-01-01

    While research on globalisation can hardly be said to have ignored the phenomenon of the global corporation or the globally distributed supply chain, the focus has overwhelmingly been on "globalization from above"--on corporate structures and on the movement of global capital in global "knowledge economies". My focus in this…

  13. An operator support system for research reactor operations and fault diagnosis through a connectionist framework and PSA based knowledge based systems

    International Nuclear Information System (INIS)

    Varde, P.V.; Sankar, S.; Verma, A.K.

    1998-01-01

    During reactor upset/abnormal conditions, emphasis is placed on the plant operator's ability to quickly identify the problem and perform diagnosis and initiate recovery action to ensure the safety of the plant. However, the reliability of human action is adversely affected at the time of crisis due to time stress and psychological factors. The availability of operational aids capable of monitoring the status of the plant and quickly identifying the deviation from normal operation is expected to significantly improve the operator reliability. The development of operator support systems using probabilistic safety assessment (PSA) techniques and information is finding wide application in nuclear plant operation. Often it is observed that most of the applications use a rule-based approach for diagnosis as well as safety status/transient conditions monitoring. A more efficient approach using artificial neural networks for safety status/transient condition monitoring and rule-based systems for diagnosis and emergency procedure generation has been applied for the development of a prototype operator adviser (OPAD) system for a 100 MW(th) heavy water moderated, cooled and natural uranium fueled research reactor. The development objective of this system is to improve the reliability of operator action and hence the reactor safety at the time of crisis as well as in normal operation. In order to address safety objectives at various stages of development of OPAD, the PSA techniques and tools have been used for knowledge representation. It has been demonstrated, with recall tests on the artificial neural network, that it can efficiently identify the reactor status in real-time scenario. This paper discusses various issues related to the development of an operator support system in a comprehensive way, right from the study of safety objectives, to data collection, to implementation of such a system

  14. Distributed, cooperating knowledge-based systems

    Science.gov (United States)

    Truszkowski, Walt

    1991-01-01

    Some current research in the development and application of distributed, cooperating knowledge-based systems technology is addressed. The focus of the current research is the spacecraft ground operations environment. The underlying hypothesis is that, because of the increasing size, complexity, and cost of planned systems, conventional procedural approaches to the architecture of automated systems will give way to a more comprehensive knowledge-based approach. A hallmark of these future systems will be the integration of multiple knowledge-based agents which understand the operational goals of the system and cooperate with each other and the humans in the loop to attain the goals. The current work includes the development of a reference model for knowledge-base management, the development of a formal model of cooperating knowledge-based agents, the use of testbed for prototyping and evaluating various knowledge-based concepts, and beginning work on the establishment of an object-oriented model of an intelligent end-to-end (spacecraft to user) system. An introductory discussion of these activities is presented, the major concepts and principles being investigated are highlighted, and their potential use in other application domains is indicated.

  15. Knowledge-based diagnosis for aerospace systems

    Science.gov (United States)

    Atkinson, David J.

    1988-01-01

    The need for automated diagnosis in aerospace systems and the approach of using knowledge-based systems are examined. Research issues in knowledge-based diagnosis which are important for aerospace applications are treated along with a review of recent relevant research developments in Artificial Intelligence. The design and operation of some existing knowledge-based diagnosis systems are described. The systems described and compared include the LES expert system for liquid oxygen loading at NASA Kennedy Space Center, the FAITH diagnosis system developed at the Jet Propulsion Laboratory, the PES procedural expert system developed at SRI International, the CSRL approach developed at Ohio State University, the StarPlan system developed by Ford Aerospace, the IDM integrated diagnostic model, and the DRAPhys diagnostic system developed at NASA Langley Research Center.

  16. Reusing Design Knowledge Based on Design Cases and Knowledge Map

    Science.gov (United States)

    Yang, Cheng; Liu, Zheng; Wang, Haobai; Shen, Jiaoqi

    2013-01-01

    Design knowledge was reused for innovative design work to support designers with product design knowledge and help designers who lack rich experiences to improve their design capacity and efficiency. First, based on the ontological model of product design knowledge constructed by taxonomy, implicit and explicit knowledge was extracted from some…

  17. Special Education Research Advances Knowledge in Education

    Science.gov (United States)

    Vaughn, Sharon; Swanson, Elizabeth A.

    2015-01-01

    Research in special education has yielded beneficial outcomes for students with disabilities as well as typical achieving students. The authors provide examples of the valuable knowledge special education research has generated, including the elements of response to intervention (e.g., screening and progress monitoring), instructional practices…

  18. Improving Knowledge Management and Utilization of Research ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Improving Knowledge Management and Utilization of Research Results in Ecohealth Projects. This study brings together lead investigators from 11 past and ongoing Ecohealth projects across Latin America who are interested in achieving better development outcomes guided by research results. Their collective ...

  19. Collaborative Research Partnerships for Knowledge Mobilisation

    Science.gov (United States)

    Edelstein, Hilary

    2016-01-01

    This study examines elements of collaborative research partnerships (CRPs) between university researchers and organisations who engage in knowledge mobilisation activities in education. The study uses key informant interviews and document analysis from one type of partnership, and a survey of university-community partnerships across Canada to…

  20. It Matters Who You Are: Indigenous Knowledge Research and Researchers

    Science.gov (United States)

    Keane, Moyra; Khupe, Constance; Muza, Blessings

    2016-01-01

    It is common for researchers in Indigenous Knowledge (IK) in science education research to draw on aspects of the scientific paradigm from their science training. The consequent research seeks to be objective. This paradigm is not necessarily appropriate for IK research. While there have been calls for IK-aligned methodologies (Chilisa 2012; Keane…

  1. Automated knowledge-base refinement

    Science.gov (United States)

    Mooney, Raymond J.

    1994-01-01

    Over the last several years, we have developed several systems for automatically refining incomplete and incorrect knowledge bases. These systems are given an imperfect rule base and a set of training examples and minimally modify the knowledge base to make it consistent with the examples. One of our most recent systems, FORTE, revises first-order Horn-clause knowledge bases. This system can be viewed as automatically debugging Prolog programs based on examples of correct and incorrect I/O pairs. In fact, we have already used the system to debug simple Prolog programs written by students in a programming language course. FORTE has also been used to automatically induce and revise qualitative models of several continuous dynamic devices from qualitative behavior traces. For example, it has been used to induce and revise a qualitative model of a portion of the Reaction Control System (RCS) of the NASA Space Shuttle. By fitting a correct model of this portion of the RCS to simulated qualitative data from a faulty system, FORTE was also able to correctly diagnose simple faults in this system.

  2. "THE KNOWLEDGE TRIANGLE" IN A KNOWLEDGE-BASED SOCIETY

    Directory of Open Access Journals (Sweden)

    Rus Mircea-Iosif

    2013-07-01

    Full Text Available The knowledge-based society is the stage where mankind is found and aims to raise the living standards of population but also to increase the level of knowledge. To achieve this latter goal, the states of the world, and especially those in the European Union, must ensure an adequate funding for its realization, and therefore in 2011 it was decided at EU level the achievement of an Innovation Union, in which are to be involved all the European countries, while to stimulate and finance research and innovation the Horizon 2020 program was proposed. The results of the Program, an ”Innovation Union” have begun to be felt, so in 2011, the major companies headquartered in the European Union increased their investments in R&D by 8.9% compared to 6.1% in 2010. This increase was almost equal to that of the U.S.A. companies (9%, higher than the world average (7.6% and superior to Japanese companies (1.5%. The sectors that used the research-development activity have tended to have increases in employment above average. I believe this information highlights the fact that the European Union may become attractive for research-development and innovation investments even for businesses outside the UE, and this can result in jobs creation and increasing competitivenees of this field of the states of the European Union. In the introductory part of the article, I have briefly presented general notions of the three component activities of the ”knowledge triangle”, in the second part I presented the knowledge society with several features, in the third part, I showed some provisions of the program to stimulate research and innovation Horizon 2020, in the fourth part, I presented an innovation activity connection to private enterprise and entrepreneurial initiative stimulation in the field innovation, and the conclusions shows that research does not stop with achieving the objectives and finding the outcomes research, but is it the background for further

  3. Role of Knowledge Based Communities in Knowledge Process

    Directory of Open Access Journals (Sweden)

    Sebastian Ion CEPTUREANU

    2015-12-01

    Full Text Available In the new economy, knowledge is an essential component of economic and social systems. The organizational focus has to be on building knowledge-based management, development of human resource and building intellectual capital capabilities. Knowledge-based management is defined, at company level, by economic processes that emphasize creation, selling, buying, learning, storing, developing, sharing and protection of knowledge as a decisive condition for profit and long-term sustainability of the company. Hence, knowledge is, concurently, according to a majoritiy of specialists, raw material, capital, product and an essential input. Knowledge-based communities are one of the main constituent elements of a framework for knowledge based management. These are peer networks consisting of practitioners within an organization, supporting each other to perform better through the exchange and sharing of knowledge. Some large companies have contributed or supported the establishment of numerous communities of practice, some of which may have several thousand members. They operate in different ways, are of different sizes, have different areas of interest and addresses knowledge at different levels of its maturity. This article examines the role of knowledge-based communities from the perspective of knowledge based management, given that the arrangements for organizational learning, creating, sharing, use of knowledge within organizations become more heterogeneous and take forms more difficult to predict by managers and specialists.

  4. Spatial support of knowledge production in higher education: Research paper

    OpenAIRE

    van Sprang, H; Groen, BH; van der Voordt, Theo

    2013-01-01

    This paper explores the impact of the physical and social dimensions of the work environment on satisfaction and perceived productivity of knowledge workers in Dutch universities of applied sciences. The approach took the form of a literature review, multiple case study of six research centres using interviews and logbook analysis, and web-based survey (N = 188). Optimally facilitating knowledge production requires both space for concentration (to support internalisation of knowledge) and spa...

  5. Knowledge representation and knowledge base design for operator advisor system

    International Nuclear Information System (INIS)

    Hangos, K.M.; Sziano, T.; Tapolcai, L.

    1990-01-01

    The problems of knowledge representation, knowledge base handling and design has been described for an Operator Advisor System in the Paks Nuclear Power Plant. The Operator Advisor System is to be implemented as a part of the 5th and 6th unit. The knowledge of the Operator Advisor system is described by a few elementary knowledge items (diagnostic event functions, fault graph, action trees), weighted directed graphs have been found as their common structure. List-type and relational representation of these graphs have been used for the on-line and off-line part of the knowledge base respectively. A uniform data base design and handling has been proposed which consists of a design system, a knowledge base editor and a knowledge base compiler

  6. Proposing a Knowledge Base for Teaching Academic Content to English Language Learners: Disciplinary Linguistic Knowledge

    Science.gov (United States)

    Turkan, Sultan; De Oliveira, Luciana C.; Lee, Okhee; Phelps, Geoffrey

    2014-01-01

    Background/Context: The current research on teacher knowledge and teacher accountability falls short on information about what teacher knowledge base could guide preparation and accountability of the mainstream teachers for meeting the academic needs of ELLs. Most recently, research on specialized knowledge for teaching has offered ways to…

  7. A Design-Based Research Approach to Improving Professional Development and Teacher Knowledge: The Case of the Smithsonian Learning Lab

    Science.gov (United States)

    Zinger, Doron; Naranjo, Ashley; Amador, Isabel; Gilbertson, Nicole; Warschauer, Mark

    2017-01-01

    Incorporating technology in classrooms to promote student learning is an ongoing instructional challenge. Teacher professional development (PD) is a central component of teacher education to support student use of technology and can improve student learning, but PD has had mixed results. In this study, researchers investigated a PD program…

  8. A Capstone Wiki Knowledge Base: A Case Study of an Online Tool Designed to Promote Life-Long Learning through Engineering Literature Research

    Science.gov (United States)

    Clarke, James B.; Coyle, James R.

    2011-01-01

    This article reports the results of a case study in which an experimental wiki knowledge base was designed, developed, and tested by the Brill Science Library at Miami University for an undergraduate engineering senior capstone project. The wiki knowledge base was created to determine if the science library could enhance the engineering literature…

  9. Nuclear Knowledge Innovations Assimilation: The Impact of Organizational Knowledge Frames and Triple Helix Dynamics of Knowledge Base

    International Nuclear Information System (INIS)

    Hossain, M. D.; Sultana, T.

    2016-01-01

    Full text: Previous research did not investigate the impact of the TH dynamics of knowledge innovations on the nuclear knowledge innovations adoption/assimilation in the organizational context. Hence, the recommendation of R&D policy reformulation seems too broad. These gaps are the prime motivators for the research. In the organizational context, we posit that TH dynamics of knowledge base innovation serves as complements to managers’ knowledge frames related to a technology innovation. We examine interactions between three knowledge frames—integration frame, opportunism frame, and policy knowledge frame, and two TH dynamics of knowledge innovations—bilateral TH dynamics of knowledge innovations and trilateral TH dynamics of knowledge innovations, and their relationship with the assimilation of nuclear knowledge innovations. We aim to research on the issues of the dynamics of knowledge base of innovations involving TH collaborations (university, industry and government) in Bangladesh as a new build nuclear project. As a result, we can find out the impact of TH collaborations on organizational nuclear knowledge innovations management as well as core institutional problems of the knowledge base of innovation systems in terms of R&D policy. Finally, findings identify lack in production of nuclear knowledge innovations and concrete recommendation of R&D policy reformulation. (author

  10. The Sydney West Knowledge Portal: Evaluating the Growth of a Knowledge Portal to Support Translational Research.

    Science.gov (United States)

    Janssen, Anna; Robinson, Tracy Elizabeth; Provan, Pamela; Shaw, Tim

    2016-06-29

    The Sydney West Translational Cancer Research Centre is an organization funded to build capacity for translational research in cancer. Translational research is essential for ensuring the integration of best available evidence into practice and for improving patient outcomes. However, there is a low level of awareness regarding what it is and how to conduct it optimally. One solution to addressing this gap is the design and deployment of web-based knowledge portals to disseminate new knowledge and engage with and connect dispersed networks of researchers. A knowledge portal is an web-based platform for increasing knowledge dissemination and management in a specialized area. To measure the design and growth of an web-based knowledge portal for increasing individual awareness of translational research and to build organizational capacity for the delivery of translational research projects in cancer. An adaptive methodology was used to capture the design and growth of an web-based knowledge portal in cancer. This involved stakeholder consultations to inform initial design of the portal. Once the portal was live, site analytics were reviewed to evaluate member usage of the portal and to measure growth in membership. Knowledge portal membership grew consistently for the first 18 months after deployment, before leveling out. Analysis of site metrics revealed members were most likely to visit portal pages with community-generated content, particularly pages with a focus on translational research. This was closely followed by pages that disseminated educational material about translational research. Preliminary data from this study suggest that knowledge portals may be beneficial tools for translating new evidence and fostering an environment of communication and collaboration.

  11. Research governance and scientific knowledge production in The Gambia

    OpenAIRE

    Frederick U. Ozor

    2014-01-01

    Public research institutions and scientists are principal actors in the production and transfer of scientific knowledge, technologies and innovations for application in industry as well for social and economic development. Based on the relevance of science and technology actors, the aim of this study was to identify and explain factors in research governance that influence scientific knowledge production and to contribute to empirical discussions on the impact levels of different governance m...

  12. Reflexively exploring knowledge and power in collaborative research

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete; Phillips, Louise Jane; Pedersen, Christina Hee

    will be designed in order to stimulate dialogue across different analytical perspectives and empirical research. The analytical perspectives on which facilitation will be based are rooted in social constructionist approaches to dialogic communication theory and action research. The challenges of collaborative...... knowledge forms, knowledge interests and wishes as to the research outcome. In official policy discourse and research practices, a positive picture is often painted of dialogue as a site for mutual learning on the basis of the different knowledge forms that the different participants bring with them...... of mutual learning. There are also tensions between processes of opening up for a plurality of knowledges and processes of closure in order to achieve strategic ends in the form of some kind of outcome. The basic premise underpinning this workshop is that we as researchers can best deal...

  13. A Knowledge Management Technology Architecture for Educational Research Organisations: Scaffolding Research Projects and Workflow Processing

    Science.gov (United States)

    Muthukumar; Hedberg, John G.

    2005-01-01

    There is growing recognition that the economic climate of the world is shifting towards a knowledge-based economy where knowledge will be cherished as the most prized asset. In this regard, technology can be leveraged as a useful tool in effectually managing the knowledge capital of an organisation. Although several research studies have advanced…

  14. The Role of Knowledge Brokers: Lessons from a Community Based Research Study of Cultural Safety in Relation to People Who Use Drugs

    Science.gov (United States)

    McCall, Jane; Mollison, Ashley; Browne, Annette; Parker, Joanne; Pauly, Bernie

    2017-01-01

    The study explored cultural safety as a strategy to address the stigma of substance use in acute care settings. Two research team members took on the role of knowledge brokers (KBs) in order to liaise between the research team and two distinct research advisory groups: one with people who use drugs and the other nurses. The KBs were instrumental…

  15. KNOWLEDGE MANAGEMENT: AN OVERVIEW OF RESEARCH TRENDS

    Directory of Open Access Journals (Sweden)

    Burcu KÖR

    2017-12-01

    Full Text Available As a young and interdisciplinary field, Knowledge Management (KM holds a crucial role in scientific research and development of knowledge-intensive economies.  This study elaborates on the methods used in previous studies regarding the research trends of KM and their contribution to the discipline by examining the KM literature. The purpose of the study is to determine the current research trends of KM by analysing KM citation classics and examining their characteristics as well as presenting a holistic framework of KM publications from the results of citation analysis. A total of 152 articles published in peer review journals between the years 2010-2014 were analysed. As a result of the analysis, a holistic KM framework was developed in order to contribute to a consensus of KM field. The results of the study reveals that the coverage of KM articles expanded into a broad spectrum of concepts, disciplines and environment.

  16. Knowledge-based information systems in practice

    CERN Document Server

    Jain, Lakhmi; Watada, Junzo; Howlett, Robert

    2015-01-01

    This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable app...

  17. ‘"Education-based Research"

    DEFF Research Database (Denmark)

    Degn Johansson, Troels

    This paper lays out a concept of education-based research-the production of research knowledge within the framework of tertiary design education-as an integration of problem-based learning and research-based education. This leads to a critique of reflective practice as the primary way to facilitate...... learning at this level, a discussion of the nature of design problems in the instrumentalist tradition, and some suggestions as to how design studies curricula may facilitate education-based research....

  18. Development and Evaluation of the Tigriopus Course-Based Undergraduate Research Experience: Impacts on Students’ Content Knowledge, Attitudes, and Motivation in a Majors Introductory Biology Course

    Science.gov (United States)

    Olimpo, Jeffrey T.; Fisher, Ginger R.; DeChenne-Peters, Sue Ellen

    2016-01-01

    Within the past decade, course-based undergraduate research experiences (CUREs) have emerged as a viable mechanism to enhance novices’ development of scientific reasoning and process skills in the science, technology, engineering, and mathematics disciplines. Recent evidence within the bioeducation literature suggests that student engagement in such experiences not only increases their appreciation for and interest in scientific research but also enhances their ability to “think like a scientist.” Despite these critical outcomes, few studies have objectively explored CURE versus non-CURE students’ development of content knowledge, attitudes, and motivation in the discipline, particularly among nonvolunteer samples. To address these concerns, we adopted a mixed-methods approach to evaluate the aforementioned outcomes following implementation of a novel CURE in an introductory cell/molecular biology course. Results indicate that CURE participants exhibited more expert-like outcomes on these constructs relative to their non-CURE counterparts, including in those areas related to self-efficacy, self-determination, and problem-solving strategies. Furthermore, analysis of end-of-term survey data suggests that select features of the CURE, such as increased student autonomy and collaboration, mediate student learning and enjoyment. Collectively, this research provides novel insights into the benefits achieved as a result of CURE participation and can be used to guide future development and evaluation of authentic research opportunities. PMID:27909022

  19. Contemporary HIV/AIDS research: Insights from knowledge management theory.

    Science.gov (United States)

    Callaghan, Chris William

    2017-12-01

    Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn's paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the 'crowd,' thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition

  20. KNOWLEDGE MANAGEMENT TOOLS FOR THE EUROPEAN KNOWLEDGE BASED SOCIETY

    Directory of Open Access Journals (Sweden)

    Ramona – Diana Leon

    2011-12-01

    Full Text Available Increasingly more literature mention that in the current competitive environment, knowledge have become the main source of the competitive advantages, while recent researches regarding economic growth and development have defined knowledge as being the most critical resource of the emerging countries.Therefore, the organizations interest for knowledge has increased, the latter being defined as knowledge management process in order to meet existing needs, to identify and exploit existing and/or acquired knowledge and developing new opportunities.In other words, knowledge management facilitates productive information usage, intelligence growth, storing intellectual capital, strategic planning, flexible acquisition, collection of best practices, increasing the likelihood of being successful as well as a more productive collaboration within the company.In order to benefit from all these advantages, it is required the usage of specific tools including models and systems to stimulate the creation, dissemination and use of knowledge held by each employee and the organization as a whole.

  1. Knowledge translation in rehabilitation engineering research and development: a knowledge ecosystem framework.

    Science.gov (United States)

    Chau, Tom; Moghimi, Saba; Popovic, Milos R

    2013-01-01

    Rehabilitation engineering is concerned with technology innovations and technology-mediated treatments for the improvement of quality of care and quality of life of individuals with disability. Unlike many other fields of health research, the knowledge translation (KT) cycle of rehabilitation engineering research and development (R&D) is often considered incomplete until a technology product or technology-facilitated therapy is available to target clientele. As such, the KT journey of rehabilitation engineering R&D is extremely challenging, necessarily involving knowledge exchange among numerous players across multiple sectors. In this article, we draw on recent literature about the knowledge trichotomy in technology-based rehabilitation R&D and propose a knowledge ecosystem to frame the rehabilitation engineering KT process from need to product. Identifying the principal process of the ecosystem as one of knowledge flow, we elucidate the roles of repository and networked knowledge, identify key consumers and producers in a trinity of communities of practice, and draw on knowledge management literature to describe different knowledge flows. The article concludes with instantiations of this knowledge ecosystem for 2 local rehabilitation engineering research-development-commercialization endeavors. Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  2. Knowledge Exchange and Management Research: Barriers and Potentials

    DEFF Research Database (Denmark)

    Bager, Torben

    2018-01-01

    Purpose: The growing involvement of management researchers in knowledge exchange activities and collaborative research does not seem to be reflected in a growing academic output. The purpose of this paper is to explore barriers for academic output from these activities as well as the potential...... for ‘interesting’ papers. Design/methodology/approach: The paper uses secondary data and statistics as well as an illustrative case study to trace knowledge exchange activities and barriers for academic output based on these activities. Findings: The paper identifies a number of barriers for the turning of data...... derived from knowledge exchange activities and Mode 2 research into academic papers such as low priority of case study research in leading management journals, a growing practice orientation in the research funding systems, methodological challenges due to limited researcher control, and disincentives...

  3. Development and Psychometric Evaluation of a Questionnaire Based on the Nursing Outcomes Classification to Determine the Knowledge of Parents on Breast-Feeding: Research Protocol.

    Science.gov (United States)

    Paloma-Castro, Olga; Romero-Sánchez, José Manuel; Paramio-Cuevas, Juan Carlos; Pastor-Montero, Sonia María; Del Carmen Sánchez-Dalda, María; Rozadillas-Sanmiguel, Elena; Moreno-Corral, Luis Javier

    2017-04-01

    To develop and psychometrically evaluate a questionnaire based on the outcome "Knowledge: Breast-feeding" of the Nursing Outcomes Classification (NOC) to determine the knowledge of parents on breast-feeding. The NOC outcome "Knowledge: Breast-feeding" allows for nurses/midwives to assess the efficacy of interventions aimed to improve the knowledge on breast-feeding in parents thought the clinical interview/observation. However, the use of self-administered questionnaires by patients could facilitate its evaluation. Two-phased study: (1) Development of the questionnaire based on experts' opinions; (2) Methodological design to assess its psychometric properties. The availability of tools that enable the determination of the knowledge of patients would facilitate nurses/midwives to set objectives, individualize interventions, and measure their effectiveness. © 2015 NANDA International, Inc.

  4. Empirical Research on Spatial Diffusion Process of Knowledge Spillovers

    Science.gov (United States)

    Jin, Xuehui

    2018-02-01

    Firstly, this paper gave a brief review of the core issues of previous studies on spatial distribution of knowledge spillovers. That laid the theoretical foundation for further research. Secondly, this paper roughly described the diffusion process of solar patents in Bejing-Tianjin-Hebei and the Pearl River Delta regions by means of correlation analysis based on patent information of the application date and address of patentee. After that, this paper introduced the variables of spatial distance, knowledge absorptive capacity, knowledge gap and pollution control and built the empirical model of patent, and then collecting data to test them. The results showed that knowledge absorptive capacity was the most significant factor than the other three, followed by the knowledge gap. The influence of spatial distance on knowledge spillovers was limited and the most weak influence factor was pollution control.

  5. Qualitative research and the politics of knowledge in an age of evidence: developing a research-based practice of immanent critique.

    Science.gov (United States)

    Mykhalovskiy, Eric; Armstrong, Pat; Armstrong, Hugh; Bourgeault, Ivy; Choiniere, Jackie; Lexchin, Joel; Peters, Suzanne; White, Jerry

    2008-07-01

    This paper offers an expository discussion of an approach to qualitative health research we call immanent critique. The central analytic move of immanent critique, as we have practiced it, is to explore how claims that are internal to authoritative discourse are experienced by those who have been excluded from their formulation. This paper contributes to the discussion of the politics of qualitative research methods in an age of evidence. We do so by responding to a recent call to move beyond the micro-politics of the qualitative research encounter to consider the overall political effects of qualitative research. We argue that the political effects of research are partly enabled by mundane practices internal to the research process. We explore how this is so by considering one formulation of immanent critique--a qualitative study of the introduction of continuous quality improvement in Ontario hospitals. We emphasize how practices internal to our research--trade union collaboration, our orientation to authoritative claims, and procedures for generating and representing health care workers' experiences--helped shape the political effects of our research. The latter include challenges to managerial claims about neo-liberal health reform and broadening the evidentiary terrain upon which interlocutors can participate in public debate about health care restructuring.

  6. Semantic computing and language knowledge bases

    Science.gov (United States)

    Wang, Lei; Wang, Houfeng; Yu, Shiwen

    2017-09-01

    As the proposition of the next-generation Web - semantic Web, semantic computing has been drawing more and more attention within the circle and the industries. A lot of research has been conducted on the theory and methodology of the subject, and potential applications have also been investigated and proposed in many fields. The progress of semantic computing made so far cannot be detached from its supporting pivot - language resources, for instance, language knowledge bases. This paper proposes three perspectives of semantic computing from a macro view and describes the current status of affairs about the construction of language knowledge bases and the related research and applications that have been carried out on the basis of these resources via a case study in the Institute of Computational Linguistics at Peking University.

  7. An Ebola virus-centered knowledge base

    Science.gov (United States)

    Kamdar, Maulik R.; Dumontier, Michel

    2015-01-01

    Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard. Database URL: http://ebola.semanticscience.org. PMID:26055098

  8. An Ebola virus-centered knowledge base.

    Science.gov (United States)

    Kamdar, Maulik R; Dumontier, Michel

    2015-01-01

    Ebola virus (EBOV), of the family Filoviridae viruses, is a NIAID category A, lethal human pathogen. It is responsible for causing Ebola virus disease (EVD) that is a severe hemorrhagic fever and has a cumulative death rate of 41% in the ongoing epidemic in West Africa. There is an ever-increasing need to consolidate and make available all the knowledge that we possess on EBOV, even if it is conflicting or incomplete. This would enable biomedical researchers to understand the molecular mechanisms underlying this disease and help develop tools for efficient diagnosis and effective treatment. In this article, we present our approach for the development of an Ebola virus-centered Knowledge Base (Ebola-KB) using Linked Data and Semantic Web Technologies. We retrieve and aggregate knowledge from several open data sources, web services and biomedical ontologies. This knowledge is transformed to RDF, linked to the Bio2RDF datasets and made available through a SPARQL 1.1 Endpoint. Ebola-KB can also be explored using an interactive Dashboard visualizing the different perspectives of this integrated knowledge. We showcase how different competency questions, asked by domain users researching the druggability of EBOV, can be formulated as SPARQL Queries or answered using the Ebola-KB Dashboard. © The Author(s) 2015. Published by Oxford University Press.

  9. Research on an Agricultural Knowledge Fusion Method for Big Data

    Directory of Open Access Journals (Sweden)

    Nengfu Xie

    2015-05-01

    Full Text Available The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of various fusion methods used with Deep Web data (Li, 2013. In this paper, we propose an effective agricultural ontology-based knowledge fusion method by leveraging recent advances in data fusion, such as the semantic web and big data technologies, that will enhance the identification and fusion of new and existing data sets to make big data analytics more possible. We provide a detailed fusion method that includes agricultural ontology building, fusion rule construction, an evaluation module, etc. Empirical results show that this knowledge fusion method is useful for knowledge discovery.

  10. A knowledge base architecture for distributed knowledge agents

    Science.gov (United States)

    Riedesel, Joel; Walls, Bryan

    1990-01-01

    A tuple space based object oriented model for knowledge base representation and interpretation is presented. An architecture for managing distributed knowledge agents is then implemented within the model. The general model is based upon a database implementation of a tuple space. Objects are then defined as an additional layer upon the database. The tuple space may or may not be distributed depending upon the database implementation. A language for representing knowledge and inference strategy is defined whose implementation takes advantage of the tuple space. The general model may then be instantiated in many different forms, each of which may be a distinct knowledge agent. Knowledge agents may communicate using tuple space mechanisms as in the LINDA model as well as using more well known message passing mechanisms. An implementation of the model is presented describing strategies used to keep inference tractable without giving up expressivity. An example applied to a power management and distribution network for Space Station Freedom is given.

  11. Knowledge Base Editor (SharpKBE)

    Science.gov (United States)

    Tikidjian, Raffi; James, Mark; Mackey, Ryan

    2007-01-01

    The SharpKBE software provides a graphical user interface environment for domain experts to build and manage knowledge base systems. Knowledge bases can be exported/translated to various target languages automatically, including customizable target languages.

  12. Applying Qualitative Research Methods to Narrative Knowledge Engineering

    OpenAIRE

    O'Neill, Brian; Riedl, Mark

    2014-01-01

    We propose a methodology for knowledge engineering for narrative intelligence systems, based on techniques used to elicit themes in qualitative methods research. Our methodology uses coding techniques to identify actions in natural language corpora, and uses these actions to create planning operators and procedural knowledge, such as scripts. In an iterative process, coders create a taxonomy of codes relevant to the corpus, and apply those codes to each element of that corpus. These codes can...

  13. Development and Evaluation of the Tigriopus Course-Based Undergraduate Research Experience: Impacts on Students' Content Knowledge, Attitudes, and Motivation in a Majors Introductory Biology Course.

    Science.gov (United States)

    Olimpo, Jeffrey T; Fisher, Ginger R; DeChenne-Peters, Sue Ellen

    2016-01-01

    Within the past decade, course-based undergraduate research experiences (CUREs) have emerged as a viable mechanism to enhance novices' development of scientific reasoning and process skills in the science, technology, engineering, and mathematics disciplines. Recent evidence within the bioeducation literature suggests that student engagement in such experiences not only increases their appreciation for and interest in scientific research but also enhances their ability to "think like a scientist." Despite these critical outcomes, few studies have objectively explored CURE versus non-CURE students' development of content knowledge, attitudes, and motivation in the discipline, particularly among nonvolunteer samples. To address these concerns, we adopted a mixed-methods approach to evaluate the aforementioned outcomes following implementation of a novel CURE in an introductory cell/molecular biology course. Results indicate that CURE participants exhibited more expert-like outcomes on these constructs relative to their non-CURE counterparts, including in those areas related to self-efficacy, self-determination, and problem-solving strategies. Furthermore, analysis of end-of-term survey data suggests that select features of the CURE, such as increased student autonomy and collaboration, mediate student learning and enjoyment. Collectively, this research provides novel insights into the benefits achieved as a result of CURE participation and can be used to guide future development and evaluation of authentic research opportunities. © 2016 J. T. Olimpo et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  14. Cardiovascular Disease Burden: Evolving Knowledge of Risk Factors in Myocardial Infarction and Stroke through Population-Based Research and Perspectives in Global Prevention

    Directory of Open Access Journals (Sweden)

    GUSTAVO B.F. OLIVEIRA

    2015-08-01

    Full Text Available Current knowledge and research perspectives on the top ranking causes of mortality worldwide, i.e., ischemic heart disease and cerebrovascular diseases have developed rapidly. In fact, until recently, it was considered that only half of the myocardial infarctions were due to traditional risk factors such as hypertension, hypercholesterolemia, smoking and diabetes. In addition, most of the available evidence of incidence, risk factors, and clinical outcomes, if not all of it, was derived from studies conducted in developed countries, which included lower proportion of female individuals and with low ethnic diversity. Recent reports by the WHO have provided striking public health information, i.e., the global burden of cardiovascular mortality for the next decades is expected to predominantly occur among developing countries. Therefore, multi-ethnic population-based research including prospective cohorts and, when appropriate, case-control studies, is warranted. These studies should be specifically designed to ascertain key public health measures such as geographic variations in noncommunicable diseases, diagnosis of traditional and potential newly discovered risk factors, causes of death and disability, and gaps for improvement in healthcare prevention (both primary and secondary and specific treatments. As an example, a multinational, multiethnic population-based cohort study is the Prospective Urban and Rural Epidemiology (PURE study, which is the largest global initiative of 150,000 adults aged 35-70 yrs, looking at environmental, societal and biological influences on obesity and chronic health conditions such as ischemic heart disease, stroke and cancer among urban and rural communities in low-, middle-, and high-income countries, with national, community, household and individual-level data. Implementation of population-based strategies is crucial to optimizing limited health system resources while improving care and cardiovascular morbidity

  15. Knowledge base technology: a developer view

    Directory of Open Access Journals (Sweden)

    G. Ginkul

    1996-09-01

    Full Text Available In present paper we have endeavoured to tell about some reasonings, conclusions and pricticals results, to which we have come being busy with one of most interesting problems of modern science. This paper is a brief report of the group of scientists from the Laboratory of Artificial Intelligence Systems about their experience of work in the field of knowledge engineering. The researches in this area was started in our Laboratory more than 10 years ago, i.e. about in the moment, when there was just another rise in Artificial Intelligence, caused by mass emerging of expert systems. The tasks of knowledge engineering were being varied, and focal point of our researches was being varied too. Certainly, we have not solved all the problems, originating in this area. Our knowledge still has an approximate nature, but nevertheless, the outcomes obtained by us seem rather important and interesting. So, we want to tell about our experience in building of knowledge-based systems, and expert systems, in particular.

  16. Understanding images using knowledge based approach

    International Nuclear Information System (INIS)

    Tascini, G.

    1985-01-01

    This paper presents an approach to image understanding focusing on low level image processing and proposes a rule-based approach as part of larger knowledge-based system. The general system has a yerarchical structure that comprises several knowledge-based layers. The main idea is to confine at the lower level the domain independent knowledge and to reserve the higher levels for the domain dependent knowledge, that is for the interpretation

  17. Integrating Evidence From Systematic Reviews, Qualitative Research, and Expert Knowledge Using Co-Design Techniques to Develop a Web-Based Intervention for People in the Retirement Transition.

    Science.gov (United States)

    O'Brien, Nicola; Heaven, Ben; Teal, Gemma; Evans, Elizabeth H; Cleland, Claire; Moffatt, Suzanne; Sniehotta, Falko F; White, Martin; Mathers, John C; Moynihan, Paula

    2016-08-03

    Integrating stakeholder involvement in complex health intervention design maximizes acceptability and potential effectiveness. However, there is little methodological guidance about how to integrate evidence systematically from various sources in this process. Scientific evidence derived from different approaches can be difficult to integrate and the problem is compounded when attempting to include diverse, subjective input from stakeholders. The intent of the study was to describe and appraise a systematic, sequential approach to integrate scientific evidence, expert knowledge and experience, and stakeholder involvement in the co-design and development of a complex health intervention. The development of a Web-based lifestyle intervention for people in retirement is used as an example. Evidence from three systematic reviews, qualitative research findings, and expert knowledge was compiled to produce evidence statements (stage 1). Face validity of these statements was assessed by key stakeholders in a co-design workshop resulting in a set of intervention principles (stage 2). These principles were assessed for face validity in a second workshop, resulting in core intervention concepts and hand-drawn prototypes (stage 3). The outputs from stages 1-3 were translated into a design brief and specification (stage 4), which guided the building of a functioning prototype, Web-based intervention (stage 5). This prototype was de-risked resulting in an optimized functioning prototype (stage 6), which was subject to iterative testing and optimization (stage 7), prior to formal pilot evaluation. The evidence statements (stage 1) highlighted the effectiveness of physical activity, dietary and social role interventions in retirement; the idiosyncratic nature of retirement and well-being; the value of using specific behavior change techniques including those derived from the Health Action Process Approach; and the need for signposting to local resources. The intervention

  18. Integrating Evidence From Systematic Reviews, Qualitative Research, and Expert Knowledge Using Co-Design Techniques to Develop a Web-Based Intervention for People in the Retirement Transition

    Science.gov (United States)

    O'Brien, Nicola; Heaven, Ben; Teal, Gemma; Evans, Elizabeth H; Cleland, Claire; Moffatt, Suzanne; Sniehotta, Falko F; White, Martin; Mathers, John C

    2016-01-01

    Background Integrating stakeholder involvement in complex health intervention design maximizes acceptability and potential effectiveness. However, there is little methodological guidance about how to integrate evidence systematically from various sources in this process. Scientific evidence derived from different approaches can be difficult to integrate and the problem is compounded when attempting to include diverse, subjective input from stakeholders. Objective The intent of the study was to describe and appraise a systematic, sequential approach to integrate scientific evidence, expert knowledge and experience, and stakeholder involvement in the co-design and development of a complex health intervention. The development of a Web-based lifestyle intervention for people in retirement is used as an example. Methods Evidence from three systematic reviews, qualitative research findings, and expert knowledge was compiled to produce evidence statements (stage 1). Face validity of these statements was assessed by key stakeholders in a co-design workshop resulting in a set of intervention principles (stage 2). These principles were assessed for face validity in a second workshop, resulting in core intervention concepts and hand-drawn prototypes (stage 3). The outputs from stages 1-3 were translated into a design brief and specification (stage 4), which guided the building of a functioning prototype, Web-based intervention (stage 5). This prototype was de-risked resulting in an optimized functioning prototype (stage 6), which was subject to iterative testing and optimization (stage 7), prior to formal pilot evaluation. Results The evidence statements (stage 1) highlighted the effectiveness of physical activity, dietary and social role interventions in retirement; the idiosyncratic nature of retirement and well-being; the value of using specific behavior change techniques including those derived from the Health Action Process Approach; and the need for signposting to local

  19. Presentation planning using an integrated knowledge base

    Science.gov (United States)

    Arens, Yigal; Miller, Lawrence; Sondheimer, Norman

    1988-01-01

    A description is given of user interface research aimed at bringing together multiple input and output modes in a way that handles mixed mode input (commands, menus, forms, natural language), interacts with a diverse collection of underlying software utilities in a uniform way, and presents the results through a combination of output modes including natural language text, maps, charts and graphs. The system, Integrated Interfaces, derives much of its ability to interact uniformly with the user and the underlying services and to build its presentations, from the information present in a central knowledge base. This knowledge base integrates models of the application domain (Navy ships in the Pacific region, in the current demonstration version); the structure of visual displays and their graphical features; the underlying services (data bases and expert systems); and interface functions. The emphasis is on a presentation planner that uses the knowledge base to produce multi-modal output. There has been a flurry of recent work in user interface management systems. (Several recent examples are listed in the references). Existing work is characterized by an attempt to relieve the software designer of the burden of handcrafting an interface for each application. The work has generally focused on intelligently handling input. This paper deals with the other end of the pipeline - presentations.

  20. Modeling and knowledge acquisition processes using case-based inference

    Directory of Open Access Journals (Sweden)

    Ameneh Khadivar

    2017-03-01

    Full Text Available The method of acquisition and presentation of the organizational Process Knowledge has considered by many KM researches. In this research a model for process knowledge acquisition and presentation has been presented by using the approach of Case Base Reasoning. The validation of the presented model was evaluated by conducting an expert panel. Then a software has been developed based on the presented model and implemented in Eghtesad Novin Bank of Iran. In this company, based on the stages of the presented model, first the knowledge intensive processes has been identified, then the Process Knowledge was stored in a knowledge base in the format of problem/solution/consequent .The retrieval of the knowledge was done based on the similarity of the nearest neighbor algorithm. For validating of the implemented system, results of the system has compared by the results of the decision making of the expert of the process.

  1. Knowledge-based metals & materials

    OpenAIRE

    Sasson, Amir

    2011-01-01

    This study presents the Norwegian metal and material industry (defined as all metal and material related firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.

  2. Knowledge transfer from public research organisations

    NARCIS (Netherlands)

    Arnold, Erik; Knee, Paula; Brown, Neil; Javorka, Zsuzsa; Giarracca, Flora; Sidiqui, Sabeen

    2012-01-01

    This study describes knowledge transfer from European universities and institutes to industry, focusing on the role of the Industrial Liaison / Technology / Knowledge Transfer Office function. It explores practices in European institutions and compares these with international ones, especially from

  3. An Insulating Glass Knowledge Base

    Energy Technology Data Exchange (ETDEWEB)

    Michael L. Doll; Gerald Hendrickson; Gerard Lagos; Russell Pylkki; Chris Christensen; Charlie Cureija

    2005-08-01

    This report will discuss issues relevant to Insulating Glass (IG) durability performance by presenting the observations and developed conclusions in a logical sequential format. This concluding effort discusses Phase II activities and focuses on beginning to quantifying IG durability issues while continuing the approach presented in the Phase I activities (Appendix 1) which discuss a qualitative assessment of durability issues. Phase II developed a focus around two specific IG design classes previously presented in Phase I of this project. The typical box spacer and thermoplastic spacer design including their Failure Modes and Effect Analysis (FMEA) and Fault Tree diagrams were chosen to address two currently used IG design options with varying components and failure modes. The system failures occur due to failures of components or their interfaces. Efforts to begin quantifying the durability issues focused on the development and delivery of an included computer based IG durability simulation program. The focus/effort to deliver the foundation for a comprehensive IG durability simulation tool is necessary to address advancements needed to meet current and future building envelope energy performance goals. This need is based upon the current lack of IG field failure data and the lengthy field observation time necessary for this data collection. Ultimately, the simulation program is intended to be used by designers throughout the current and future industry supply chain. Its use is intended to advance IG durability as expectations grow around energy conservation and with the growth of embedded technologies as required to meet energy needs. In addition the tool has the immediate benefit of providing insight for research and improvement prioritization. Included in the simulation model presentation are elements and/or methods to address IG materials, design, process, quality, induced stress (environmental and other factors), validation, etc. In addition, acquired data

  4. Working with Indigenous Knowledge: A Guide for Researchers ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    In the 1990s, indigenous knowledge has been fertile ground for research, and ... research and will appeal to both seasoned development professional as well as ... indigenous-knowledge issues with the University of Indonesia, the Institute of ...

  5. Modeling Guru: Knowledge Base for NASA Modelers

    Science.gov (United States)

    Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.

    2009-05-01

    Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the

  6. Constructing and Refining Knowledge Bases: A Collaborative Apprenticeship Multistrategy Learning Approach

    National Research Council Canada - National Science Library

    Tecuci, Gheorghe

    2000-01-01

    This research has developed a theory, methodology and learning agent shell for development of knowledge bases and knowledge-based agents, by domain experts, with limited assistance from knowledge engineers...

  7. Automatic Knowledge Base Evolution by Learning Instances

    OpenAIRE

    Kim, Sundong

    2016-01-01

    Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology automatically can contribute to the semantic web society significantly. In this paper, we propose ful...

  8. A knowledge base browser using hypermedia

    Science.gov (United States)

    Pocklington, Tony; Wang, Lui

    1990-01-01

    A hypermedia system is being developed to browse CLIPS (C Language Integrated Production System) knowledge bases. This system will be used to help train flight controllers for the Mission Control Center. Browsing this knowledge base will be accomplished either by having navigating through the various collection nodes that have already been defined, or through the query languages.

  9. Irrelevance Reasoning in Knowledge Based Systems

    Science.gov (United States)

    Levy, A. Y.

    1993-01-01

    This dissertation considers the problem of reasoning about irrelevance of knowledge in a principled and efficient manner. Specifically, it is concerned with two key problems: (1) developing algorithms for automatically deciding what parts of a knowledge base are irrelevant to a query and (2) the utility of relevance reasoning. The dissertation describes a novel tool, the query-tree, for reasoning about irrelevance. Based on the query-tree, we develop several algorithms for deciding what formulas are irrelevant to a query. Our general framework sheds new light on the problem of detecting independence of queries from updates. We present new results that significantly extend previous work in this area. The framework also provides a setting in which to investigate the connection between the notion of irrelevance and the creation of abstractions. We propose a new approach to research on reasoning with abstractions, in which we investigate the properties of an abstraction by considering the irrelevance claims on which it is based. We demonstrate the potential of the approach for the cases of abstraction of predicates and projection of predicate arguments. Finally, we describe an application of relevance reasoning to the domain of modeling physical devices.

  10. eGender-from e-Learning to e-Research: a web-based interactive knowledge-sharing platform for sex- and gender-specific medical education.

    Science.gov (United States)

    Seeland, Ute; Nauman, Ahmad T; Cornelis, Alissa; Ludwig, Sabine; Dunkel, Mathias; Kararigas, Georgios; Regitz-Zagrosek, Vera

    2016-01-01

    Sex and Gender Medicine is a novel discipline that provides equitable medical care for society and improves outcomes for both male and female patients. The integration of sex- and gender-specific knowledge into medical curricula is limited due to adequate learning material, systematic teacher training and an innovative communication strategy. We aimed at initiating an e-learning and knowledge-sharing platform for Sex and Gender Medicine, the eGender platform (http://egender.charite.de), to ensure that future doctors and health professionals will have adequate knowledge and communication skills on sex and gender differences in order to make informed decisions for their patients. The web-based eGender knowledge-sharing platform was designed to support the blended learning pedagogical teaching concept and follows the didactic concept of constructivism. Learning materials developed by Sex and Gender Medicine experts of seven universities have been used as the basis for the new learning tools . The content of these tools is patient-centered and provides add-on information on gender-sensitive aspects of diseases. The structural part of eGender was designed and developed using the open source e-learning platform Moodle. The eGender platform comprises an English and a German version of e-learning modules: one focusing on basic knowledge and seven on specific medical disciplines. Each module consists of several courses corresponding to a disease or symptom complex. Self-organized learning has to be managed by using different learning tools, e.g., texts and audiovisual material, tools for online communication and collaborative work. More than 90 users from Europe registered for the eGender Medicine learning modules. The most frequently accessed module was "Gender Medicine-Basics" and the users favored discussion forums. These e-learning modules fulfill the quality criteria for higher education and are used within the elective Master Module "Gender Medicine

  11. Research and Application of Knowledge Resources Network for Product Innovation

    Directory of Open Access Journals (Sweden)

    Chuan Li

    2015-01-01

    Full Text Available In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users’ enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

  12. Research and application of knowledge resources network for product innovation.

    Science.gov (United States)

    Li, Chuan; Li, Wen-qiang; Li, Yan; Na, Hui-zhen; Shi, Qian

    2015-01-01

    In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

  13. Using Knowledge-Based Systems to Support Learning of Organizational Knowledge: A Case Study

    Science.gov (United States)

    Cooper, Lynne P.; Nash, Rebecca L.; Phan, Tu-Anh T.; Bailey, Teresa R.

    2003-01-01

    This paper describes the deployment of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to 'do what no one has done before.' Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. These results are discussed in the context of organizational learning research and implications for practice.

  14. Knowledge-based public health situation awareness

    Science.gov (United States)

    Mirhaji, Parsa; Zhang, Jiajie; Srinivasan, Arunkumar; Richesson, Rachel L.; Smith, Jack W.

    2004-09-01

    There have been numerous efforts to create comprehensive databases from multiple sources to monitor the dynamics of public health and most specifically to detect the potential threats of bioterrorism before widespread dissemination. But there are not many evidences for the assertion that these systems are timely and dependable, or can reliably identify man made from natural incident. One must evaluate the value of so called 'syndromic surveillance systems' along with the costs involved in design, development, implementation and maintenance of such systems and the costs involved in investigation of the inevitable false alarms1. In this article we will introduce a new perspective to the problem domain with a shift in paradigm from 'surveillance' toward 'awareness'. As we conceptualize a rather different approach to tackle the problem, we will introduce a different methodology in application of information science, computer science, cognitive science and human-computer interaction concepts in design and development of so called 'public health situation awareness systems'. We will share some of our design and implementation concepts for the prototype system that is under development in the Center for Biosecurity and Public Health Informatics Research, in the University of Texas Health Science Center at Houston. The system is based on a knowledgebase containing ontologies with different layers of abstraction, from multiple domains, that provide the context for information integration, knowledge discovery, interactive data mining, information visualization, information sharing and communications. The modular design of the knowledgebase and its knowledge representation formalism enables incremental evolution of the system from a partial system to a comprehensive knowledgebase of 'public health situation awareness' as it acquires new knowledge through interactions with domain experts or automatic discovery of new knowledge.

  15. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-01-01

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  16. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-12-31

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  17. Theoretical Framework of Researcher Knowledge Development in Mathematics Education

    Science.gov (United States)

    Kontorovich, Igor'

    2016-01-01

    The goal of this paper is to present a framework of researcher knowledge development in conducting a study in mathematics education. The key components of the framework are: knowledge germane to conducting a particular study, processes of knowledge accumulation, and catalyzing filters that influence a researcher's decision making. The components…

  18. Research methods in indigenous mathematical Knowledge: An ...

    African Journals Online (AJOL)

    Indigenous games are an integral component of indigenous knowledge systems. ... and national activities; mathematical concepts associated with the games; possibilities and implications for general classroom ... AJOL African Journals Online.

  19. A collaborative filtering-based approach to biomedical knowledge discovery.

    Science.gov (United States)

    Lever, Jake; Gakkhar, Sitanshu; Gottlieb, Michael; Rashnavadi, Tahereh; Lin, Santina; Siu, Celia; Smith, Maia; Jones, Martin R; Krzywinski, Martin; Jones, Steven J M; Wren, Jonathan

    2018-02-15

    The increase in publication rates makes it challenging for an individual researcher to stay abreast of all relevant research in order to find novel research hypotheses. Literature-based discovery methods make use of knowledge graphs built using text mining and can infer future associations between biomedical concepts that will likely occur in new publications. These predictions are a valuable resource for researchers to explore a research topic. Current methods for prediction are based on the local structure of the knowledge graph. A method that uses global knowledge from across the knowledge graph needs to be developed in order to make knowledge discovery a frequently used tool by researchers. We propose an approach based on the singular value decomposition (SVD) that is able to combine data from across the knowledge graph through a reduced representation. Using cooccurrence data extracted from published literature, we show that SVD performs better than the leading methods for scoring discoveries. We also show the diminishing predictive power of knowledge discovery as we compare our predictions with real associations that appear further into the future. Finally, we examine the strengths and weaknesses of the SVD approach against another well-performing system using several predicted associations. All code and results files for this analysis can be accessed at https://github.com/jakelever/knowledgediscovery. sjones@bcgsc.ca. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  20. Socially Relevant Knowledge Based Telemedicine

    Science.gov (United States)

    2010-10-01

    in the field of education as well. Advantage (s) of training in virtual worlds The most important advantage of use of computer based...Shirmohammadi, S. (2007). Accessibility and scalability in collaborative eCommerce environments. Digital Information Management, 2007. ICDIM 󈧋. 2nd...methods on human effort has certain advantages and disadvantages. The main advantage is that human-intensive methods usually yield data that are of high

  1. Knowledge-Based Environmental Context Modeling

    Science.gov (United States)

    Pukite, P. R.; Challou, D. J.

    2017-12-01

    As we move from the oil-age to an energy infrastructure based on renewables, the need arises for new educational tools to support the analysis of geophysical phenomena and their behavior and properties. Our objective is to present models of these phenomena to make them amenable for incorporation into more comprehensive analysis contexts. Starting at the level of a college-level computer science course, the intent is to keep the models tractable and therefore practical for student use. Based on research performed via an open-source investigation managed by DARPA and funded by the Department of Interior [1], we have adapted a variety of physics-based environmental models for a computer-science curriculum. The original research described a semantic web architecture based on patterns and logical archetypal building-blocks (see figure) well suited for a comprehensive environmental modeling framework. The patterns span a range of features that cover specific land, atmospheric and aquatic domains intended for engineering modeling within a virtual environment. The modeling engine contained within the server relied on knowledge-based inferencing capable of supporting formal terminology (through NASA JPL's Semantic Web for Earth and Environmental Technology (SWEET) ontology and a domain-specific language) and levels of abstraction via integrated reasoning modules. One of the key goals of the research was to simplify models that were ordinarily computationally intensive to keep them lightweight enough for interactive or virtual environment contexts. The breadth of the elements incorporated is well-suited for learning as the trend toward ontologies and applying semantic information is vital for advancing an open knowledge infrastructure. As examples of modeling, we have covered such geophysics topics as fossil-fuel depletion, wind statistics, tidal analysis, and terrain modeling, among others. Techniques from the world of computer science will be necessary to promote efficient

  2. Community-based health insurance knowledge, concern ...

    African Journals Online (AJOL)

    Community-based health insurance knowledge, concern, preferences, and financial planning for health care among informal sector workers in a health district of Douala, Cameroon. ... This is mainly due to the lack of awareness and limited knowledge on the basic concepts of a CBHI by this target population. Solidarity ...

  3. DeepDive: Declarative Knowledge Base Construction.

    Science.gov (United States)

    De Sa, Christopher; Ratner, Alex; Ré, Christopher; Shin, Jaeho; Wang, Feiran; Wu, Sen; Zhang, Ce

    2016-03-01

    The dark data extraction or knowledge base construction (KBC) problem is to populate a SQL database with information from unstructured data sources including emails, webpages, and pdf reports. KBC is a long-standing problem in industry and research that encompasses problems of data extraction, cleaning, and integration. We describe DeepDive, a system that combines database and machine learning ideas to help develop KBC systems. The key idea in DeepDive is that statistical inference and machine learning are key tools to attack classical data problems in extraction, cleaning, and integration in a unified and more effective manner. DeepDive programs are declarative in that one cannot write probabilistic inference algorithms; instead, one interacts by defining features or rules about the domain. A key reason for this design choice is to enable domain experts to build their own KBC systems. We present the applications, abstractions, and techniques of DeepDive employed to accelerate construction of KBC systems.

  4. Loyalty Programmes : Current Knowledge and Research Directions

    NARCIS (Netherlands)

    Dorotic, Matilda; Bijmolt, Tammo H. A.; Verhoef, Peter C.

    Loyalty programmes (LPs) have increased in number and popularity, but their effects on customer behaviour remain equivocal, due to a lack of understanding of the drivers of LP effectiveness and insufficient generalizable conclusions across prior studies. This paper synthesizes current knowledge

  5. The Coming of Knowledge-Based Business.

    Science.gov (United States)

    Davis, Stan; Botkin, Jim

    1994-01-01

    Economic growth will come from knowledge-based businesses whose "smart" products filter and interpret information. Businesses will come to think of themselves as educators and their customers as learners. (SK)

  6. Methodology for testing and validating knowledge bases

    Science.gov (United States)

    Krishnamurthy, C.; Padalkar, S.; Sztipanovits, J.; Purves, B. R.

    1987-01-01

    A test and validation toolset developed for artificial intelligence programs is described. The basic premises of this method are: (1) knowledge bases have a strongly declarative character and represent mostly structural information about different domains, (2) the conditions for integrity, consistency, and correctness can be transformed into structural properties of knowledge bases, and (3) structural information and structural properties can be uniformly represented by graphs and checked by graph algorithms. The interactive test and validation environment have been implemented on a SUN workstation.

  7. KNOWLEDGE FROM RESEARCH AS A QUASI-PUBLIC GOOD

    Directory of Open Access Journals (Sweden)

    Attila György

    2011-06-01

    Full Text Available Knowledge is a special quasi-public good which is delivered by several types of institutions, including public and private universities. Knowledge to be produced in bigger quantities, the state should contribute with budgetary financial support as subsidies or grants to cover a part of expenses. States are supporting research from public resources, especially the basic research which enjoy a smaller interest from the private research units due its small potential to be implemented and recovered throughout price. Public co-founding of research generates problems regarding the regime of patents’ ownership because financing bodies have divergent opinion regarding the utility of research in society’s development. There are different approaches offered in solving this problem, taking into account the forms of realizing this quasi-public good, approaches based especially on different type of joint-ventures. Academic research, perceived as a very important and income generating activity, is done in a very large scale of combinations between universities and private entities. These complicated relations generates information asymmetry specific to principal-agent relations in economy. The control of information asymmetry level is important because a high level corresponds to inefficient use of funds and smaller satisfaction of general needs.

  8. Research governance and scientific knowledge production in The Gambia

    Directory of Open Access Journals (Sweden)

    Frederick U. Ozor

    2014-09-01

    Full Text Available Public research institutions and scientists are principal actors in the production and transfer of scientific knowledge, technologies and innovations for application in industry as well for social and economic development. Based on the relevance of science and technology actors, the aim of this study was to identify and explain factors in research governance that influence scientific knowledge production and to contribute to empirical discussions on the impact levels of different governance models and structures. These discussions appear limited and mixed in the literature, although still are ongoing. No previous study has examined the possible contribution of the scientific committee model of research governance to scientific performance at the individual level of the scientist. In this context, this study contributes to these discussions, firstly, by suggesting that scientific committee structures with significant research steering autonomy could contribute not only directly to scientific output but also indirectly through moderating effects on research practices. Secondly, it is argued that autonomous scientific committee structures tend to play a better steering role than do management-centric models and structures of research governance.

  9. Knowledge synthesis and the Canadian Institutes of Health Research

    Directory of Open Access Journals (Sweden)

    Graham Ian D

    2012-02-01

    Full Text Available Abstract The Canadian Institutes of Health Research (CIHR is Canada's premier health-research funding agency. We fund nearly 14,000 researchers and trainees in four theme areas: biomedical, clinical, health services, and population and public-health research. Our mandate is 'to excel according to international standards of scientific excellence, in the creation of new knowledge and its translation into improved health for Canadians, more effective health services and products and a strengthened Canadian health care system'. Knowledge synthesis is a key element of the knowledge-translation objectives of CIHR, as outlined in our definition of knowledge-translation.

  10. KNOWLEDGE AND XML BASED CAPP SYSTEM

    Institute of Scientific and Technical Information of China (English)

    ZHANG Shijie; SONG Laigang

    2006-01-01

    In order to enhance the intelligent level of system and improve the interactivity with other systems, a knowledge and XML based computer aided process planning (CAPP) system is implemented. It includes user management, bill of materials(BOM) management, knowledge based process planning, knowledge management and database maintaining sub-systems. This kind of nesting knowledge representation method the system provided can represent complicated arithmetic and logical relationship to deal with process planning tasks. With the representation and manipulation of XML based technological file, the system solves some important problems in web environment such as information interactive efficiency and refreshing of web page. The CAPP system is written in ASP VBScript, JavaScript, Visual C++ languages and Oracle database. At present, the CAPP system is running in Shenyang Machine Tools. The functions of it meet the requirements of enterprise production.

  11. FROM TRADITIONAL ACCOUNTING TO KNOWLEDGE BASED ACCOUNTING ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    NICOLETA RADNEANTU

    2010-01-01

    Full Text Available Nowadays, we may observe that the rules of traditional economy have changed. The new economy – the knowledge based economy determine also major change in organizations resources, structure, strategic objectives, departments, accounting, goods. In our research we want to underline how the accounting rules, regulations and paradigms have changed to cope with political, economic and social challenges, as well as to the emergence of knowledge based organization. We also try to find out where Romanian accounting is on the hard road of evolution from traditional to knowledge based.

  12. Knowledge base rule partitioning design for CLIPS

    Science.gov (United States)

    Mainardi, Joseph D.; Szatkowski, G. P.

    1990-01-01

    This describes a knowledge base (KB) partitioning approach to solve the problem of real-time performance using the CLIPS AI shell when containing large numbers of rules and facts. This work is funded under the joint USAF/NASA Advanced Launch System (ALS) Program as applied research in expert systems to perform vehicle checkout for real-time controller and diagnostic monitoring tasks. The Expert System advanced development project (ADP-2302) main objective is to provide robust systems responding to new data frames of 0.1 to 1.0 second intervals. The intelligent system control must be performed within the specified real-time window, in order to meet the demands of the given application. Partitioning the KB reduces the complexity of the inferencing Rete net at any given time. This reduced complexity improves performance but without undo impacts during load and unload cycles. The second objective is to produce highly reliable intelligent systems. This requires simple and automated approaches to the KB verification & validation task. Partitioning the KB reduces rule interaction complexity overall. Reduced interaction simplifies the V&V testing necessary by focusing attention only on individual areas of interest. Many systems require a robustness that involves a large number of rules, most of which are mutually exclusive under different phases or conditions. The ideal solution is to control the knowledge base by loading rules that directly apply for that condition, while stripping out all rules and facts that are not used during that cycle. The practical approach is to cluster rules and facts into associated 'blocks'. A simple approach has been designed to control the addition and deletion of 'blocks' of rules and facts, while allowing real-time operations to run freely. Timing tests for real-time performance for specific machines under R/T operating systems have not been completed but are planned as part of the analysis process to validate the design.

  13. Academic Researchers on the Project Market in the Ethos of Knowledge Capitalism

    Science.gov (United States)

    Brunila, Kristiina; Hannukainen, Kristiina

    2017-01-01

    How knowledge capitalism retools the scope of academic research and researchers is an issue which this article ties to the project market in the ethos of knowledge capitalism. In Finland, academic research has been forced to apply for funding in project-based activities reflecting European Union policies. The project market, which in this article…

  14. Knowledge Discovery and Data Mining in Iran's Climatic Researches

    Science.gov (United States)

    Karimi, Mostafa

    2013-04-01

    Advances in measurement technology and data collection is the database gets larger. Large databases require powerful tools for analysis data. Iterative process of acquiring knowledge from information obtained from data processing is done in various forms in all scientific fields. However, when the data volume large, and many of the problems the Traditional methods cannot respond. in the recent years, use of databases in various scientific fields, especially atmospheric databases in climatology expanded. in addition, increases in the amount of data generated by the climate models is a challenge for analysis of it for extraction of hidden pattern and knowledge. The approach to this problem has been made in recent years uses the process of knowledge discovery and data mining techniques with the use of the concepts of machine learning, artificial intelligence and expert (professional) systems is overall performance. Data manning is analytically process for manning in massive volume data. The ultimate goal of data mining is access to information and finally knowledge. climatology is a part of science that uses variety and massive volume data. Goal of the climate data manning is Achieve to information from variety and massive atmospheric and non-atmospheric data. in fact, Knowledge Discovery performs these activities in a logical and predetermined and almost automatic process. The goal of this research is study of uses knowledge Discovery and data mining technique in Iranian climate research. For Achieve This goal, study content (descriptive) analysis and classify base method and issue. The result shown that in climatic research of Iran most clustering, k-means and wards applied and in terms of issues precipitation and atmospheric circulation patterns most introduced. Although several studies in geography and climate issues with statistical techniques such as clustering and pattern extraction is done, Due to the nature of statistics and data mining, but cannot say for

  15. A knowledge based system for plant diagnosis

    International Nuclear Information System (INIS)

    Motoda, H.; Yamada, N.; Yoshida, K.

    1984-01-01

    A knowledge based system for plant diagnosis is proposed in which both event-oriented and function-oriented knowledge are used. For the proposed system to be of practical use, these two types of knowledge are represented by mutually nested four frames, i.e. the component, causality, criteriality, and simulator frames, and production rules. The system provides fast inference capability for use as both a production system and a formal reasoning system, with uncertainty of knowledge taken into account in the former. Event-oriented knowledge is used in both diagnosis and guidance and function-oriented knowledge, in diagnosis only. The inference capability required is forward chaining in the former and resolution in the latter. The causality frame guides in the use of event-oriented knowledge, whereas the criteriality frame does so for function-oriented knowledge. Feedback nature of the plant requires the best first search algorithm that uses histories in the resolution process. The inference program is written in Lisp and the plant simulator and the process I/O control programs in Fortran. Fast data transfer between these two languages is realized by enhancing the memory management capability of Lisp to control the numerical data in the global memory. Simulation applications to a BWR plant demonstrated its diagnostic capability

  16. IGENPRO knowledge-based operator support system

    International Nuclear Information System (INIS)

    Morman, J. A.

    1998-01-01

    Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support

  17. Bridging the gap: simulations meet knowledge bases

    Science.gov (United States)

    King, Gary W.; Morrison, Clayton T.; Westbrook, David L.; Cohen, Paul R.

    2003-09-01

    Tapir and Krill are declarative languages for specifying actions and agents, respectively, that can be executed in simulation. As such, they bridge the gap between strictly declarative knowledge bases and strictly executable code. Tapir and Krill components can be combined to produce models of activity which can answer questions about mechanisms and processes using conventional inference methods and simulation. Tapir was used in DARPA's Rapid Knowledge Formation (RKF) project to construct models of military tactics from the Army Field Manual FM3-90. These were then used to build Courses of Actions (COAs) which could be critiqued by declarative reasoning or via Monte Carlo simulation. Tapir and Krill can be read and written by non-knowledge engineers making it an excellent vehicle for Subject Matter Experts to build and critique knowledge bases.

  18. STEM learning research through a funds of knowledge lens

    Science.gov (United States)

    Civil, Marta

    2016-03-01

    This article examines STEM learning as a cultural process with a focus on non-dominant communities. Building on my work in funds of knowledge and mathematics education, I present three vignettes to raise some questions around connections between in-school and out-of-school mathematics. How do we define competence? How do task and environment affect engagement? What is the role of affect, language, and cognition in different settings? These vignettes serve to highlight the complexity of moving across different domains of STEM practice—everyday life, school, and STEM disciplines. Based on findings from occupational interviews I discuss characteristics of learning and engaging in everyday practices and propose several areas for further research, including the nature of everyday STEM practices, valorization of knowledge, language choice, and different forms of engagement.

  19. The Ontology of Knowledge Based Optimization

    OpenAIRE

    Nasution, Mahyuddin K. M.

    2012-01-01

    Optimization has been becoming a central of studies in mathematic and has many areas with different applications. However, many themes of optimization came from different area have not ties closing to origin concepts. This paper is to address some variants of optimization problems using ontology in order to building basic of knowledge about optimization, and then using it to enhance strategy to achieve knowledge based optimization.

  20. Knowledge base verification based on enhanced colored petri net

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)

    1997-12-31

    Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)

  1. Knowledge base verification based on enhanced colored petri net

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Hyun; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Taejon (Korea, Republic of)

    1998-12-31

    Verification is a process aimed at demonstrating whether a system meets it`s specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base. 8 refs., 4 figs. (Author)

  2. Project-based knowledge in organizing open innovation

    CERN Document Server

    Comacchio, Anna; Pizzi, Claudio

    2014-01-01

    Enriching understanding of the current theoretical debate on project-based open innovation, ‘Project-based Knowledge in Organizing Open Innovation’ draws on innovation management literature and knowledge-based perspectives to investigate the relationship between knowledge development at project level and the strategic organization of open innovation. Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries. The book also addresses the emerging interest in the management literature on project-based organizations, and on the relevance of project forms of organizing in a knowledge-based economy. Through field research in different industrial settings , this book provides empirical evidence on how firms design open innovation project-by-project and it will ...

  3. A Knowledge Based Approach to VLSI CAD

    Science.gov (United States)

    1983-09-01

    Avail-and/or Dist ISpecial L| OI. SEICURITY CLASIIrCATION OP THIS IPA.lErllm S Daene." A KNOwLEDE BASED APPROACH TO VLSI CAD’ Louis L Steinberg and...major issues lies in building up and managing the knowledge base of oesign expertise. We expect that, as with many recent expert systems, in order to

  4. Model-based explanation of plant knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Huuskonen, P.J. [VTT Electronics, Oulu (Finland). Embedded Software

    1997-12-31

    This thesis deals with computer explanation of knowledge related to design and operation of industrial plants. The needs for explanation are motivated through case studies and literature reviews. A general framework for analysing plant explanations is presented. Prototypes demonstrate key mechanisms for implementing parts of the framework. Power plants, steel mills, paper factories, and high energy physics control systems are studied to set requirements for explanation. The main problems are seen to be either lack or abundance of information. Design knowledge in particular is found missing at plants. Support systems and automation should be enhanced with ways to explain plant knowledge to the plant staff. A framework is formulated for analysing explanations of plant knowledge. It consists of three parts: 1. a typology of explanation, organised by the class of knowledge (factual, functional, or strategic) and by the target of explanation (processes, automation, or support systems), 2. an identification of explanation tasks generic for the plant domain, and 3. an identification of essential model types for explanation (structural, behavioural, functional, and teleological). The tasks use the models to create the explanations of the given classes. Key mechanisms are discussed to implement the generic explanation tasks. Knowledge representations based on objects and their relations form a vocabulary to model and present plant knowledge. A particular class of models, means-end models, are used to explain plant knowledge. Explanations are generated through searches in the models. Hypertext is adopted to communicate explanations over dialogue based on context. The results are demonstrated in prototypes. The VICE prototype explains the reasoning of an expert system for diagnosis of rotating machines at power plants. The Justifier prototype explains design knowledge obtained from an object-oriented plant design tool. Enhanced access mechanisms into on-line documentation are

  5. Model-based explanation of plant knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Huuskonen, P J [VTT Electronics, Oulu (Finland). Embedded Software

    1998-12-31

    This thesis deals with computer explanation of knowledge related to design and operation of industrial plants. The needs for explanation are motivated through case studies and literature reviews. A general framework for analysing plant explanations is presented. Prototypes demonstrate key mechanisms for implementing parts of the framework. Power plants, steel mills, paper factories, and high energy physics control systems are studied to set requirements for explanation. The main problems are seen to be either lack or abundance of information. Design knowledge in particular is found missing at plants. Support systems and automation should be enhanced with ways to explain plant knowledge to the plant staff. A framework is formulated for analysing explanations of plant knowledge. It consists of three parts: 1. a typology of explanation, organised by the class of knowledge (factual, functional, or strategic) and by the target of explanation (processes, automation, or support systems), 2. an identification of explanation tasks generic for the plant domain, and 3. an identification of essential model types for explanation (structural, behavioural, functional, and teleological). The tasks use the models to create the explanations of the given classes. Key mechanisms are discussed to implement the generic explanation tasks. Knowledge representations based on objects and their relations form a vocabulary to model and present plant knowledge. A particular class of models, means-end models, are used to explain plant knowledge. Explanations are generated through searches in the models. Hypertext is adopted to communicate explanations over dialogue based on context. The results are demonstrated in prototypes. The VICE prototype explains the reasoning of an expert system for diagnosis of rotating machines at power plants. The Justifier prototype explains design knowledge obtained from an object-oriented plant design tool. Enhanced access mechanisms into on-line documentation are

  6. Democratising the Research Imagination: Globalising Knowledge about HIV/AIDS

    Science.gov (United States)

    Epstein, Debbie; Boden, Rebecca

    2006-01-01

    This paper problematises globalisation and the democratisation of the research imagination, highlighting the potentials for harm and good. We do so, first, by exploring two philosophical/epistemological issues: the definition of "knowledge" and the role of "research" in knowledge creation. The paper then considers some of…

  7. The Role of Integrated Knowledge Translation in Intervention Research.

    Science.gov (United States)

    Wathen, C Nadine; MacMillan, Harriet L

    2018-04-01

    There is widespread recognition across the full range of applied research disciplines, including health and social services, about the challenges of integrating scientifically derived research evidence into policy and/or practice decisions. These "disconnects" or "knowledge-practice gaps" between research production and use have spawned a new research field, most commonly known as either "implementation science" or "knowledge translation." The present paper will review key concepts in this area, with a particular focus on "integrated knowledge translation" (IKT)-which focuses on researcher-knowledge user partnership-in the area of mental health and prevention of violence against women and children using case examples from completed and ongoing work. A key distinction is made between the practice of KT (disseminating, communicating, etc.), and the science of KT, i.e., research regarding effective KT approaches. We conclude with a discussion of the relevance of IKT for mental health intervention research with children and adolescents.

  8. Knowledge-based scheduling of arrival aircraft

    Science.gov (United States)

    Krzeczowski, K.; Davis, T.; Erzberger, H.; Lev-Ram, I.; Bergh, C.

    1995-01-01

    A knowledge-based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real-time simulation. The scheduling system automatically sequences, assigns landing times, and assigns runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithms is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real-time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reduction, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithms is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper will describe the scheduling algorithms, give examples of their use, and present data regarding their potential benefits to the air traffic system.

  9. Knowledge based economy in European Union

    Directory of Open Access Journals (Sweden)

    Ecaterina Stănculescu

    2012-04-01

    Full Text Available Nowadays we assist at a fundamental change from the economy based mainly on resources to the one based mostly on knowledge. The concept has been launched in the last decade of the past century. The knowledge became a production agent and a value creation instrument for whatever country and of course for an entire community like European Union which is constantly concerned by its development and competitiveness. This paper presents the principal characteristics of the present EU preoccupations with the expansion of a knowledge based economy through the 2020 European Development Strategy for smart, sustainable and inclusive economy, and especially for the Framework Programs (Framework Programme 7 and Competitiveness and Innovation Framework Programme.

  10. Research and International Trade Policy Negotiations: Knowledge ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    7 oct. 2009 ... The editor. Mercedes Botto is Senior Researcher at FLACSO, the Facultad Latinoamericana de Ciencias Sociales, in Buenos Aires, Argentina. Contenus connexes. Politiques d'innovation régionales dans la zone Mercosur - obstacles et possibilités. Cette subvention soutiendra l'exécution d'une étude des ...

  11. Improving Knowledge Management and Utilization of Research ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    They are extremely vulnerable, and they have to cope with few resources, poor health, ... and improve research implementation approaches and instruments through ... The project's long-term aim is to contribute to integrated policies that link health, ... IWRA/IDRC webinar on climate change and adaptive water management.

  12. Developing and Assessing Teachers' Knowledge of Game-Based Learning

    Science.gov (United States)

    Shah, Mamta; Foster, Aroutis

    2015-01-01

    Research focusing on the development and assessment of teacher knowledge in game-based learning is in its infancy. A mixed-methods study was undertaken to educate pre-service teachers in game-based learning using the Game Network Analysis (GaNA) framework. Fourteen pre-service teachers completed a methods course, which prepared them in game…

  13. Dynamic Strategic Planning in a Professional Knowledge-Based Organization

    Science.gov (United States)

    Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte

    2010-01-01

    Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…

  14. Stakeholder engagement and knowledge exchange in environmental research.

    Science.gov (United States)

    Phillipson, Jeremy; Lowe, Philip; Proctor, Amy; Ruto, Eric

    2012-03-01

    It is commonly put forward that effective uptake of research in policy or practice must be built upon a foundation of active knowledge exchange and stakeholder engagement during the research. However, what is often lacking is a systematic appreciation of the specific practices of knowledge exchange and their relative merits. The paper reports on a 2009 survey of 21 research projects within the UK Research Councils' Rural Economy and Land Use Programme regarding the involvement and perceived impact of over a thousand stakeholders in the research. The survey reveals that most stakeholders were involved as research subjects or as event participants. Large numbers were also engaged in the research process itself, including involvement in shaping the direction of research. Stakeholder engagement is perceived as bringing significant benefits to the process of knowledge production. A close relationship is found between mechanisms and approaches to knowledge exchange and the spread of benefits for researchers and stakeholders. Mutual benefits are gained from exchange of staff or where stakeholders are members of research advisory groups. Different stakeholder sectors are also associated with different patterns of engagement, which lead to contrasting impact patterns. Any efforts to alter knowledge exchange processes and outcomes must overcome these differing engagement tendencies. Overall, much greater attention should be given to early processes of knowledge exchange and stakeholder engagement within the lifetime of research projects. Copyright © 2011 Elsevier Ltd. All rights reserved.

  15. Knowledge bases for modelisation of industrial plants

    International Nuclear Information System (INIS)

    Lorre, J.P.; Evrard, J.M.; Dorlet, E.

    1992-01-01

    Our experience in the development of numerous knowledge based control systems for large industrial applications has led us to the expression of a generic problem and to the implementation of the tools to address it. This paper illustrates, with different practical examples that we have encountered, the principal concepts found in the modelling and management of large industrial knowledge bases. We thus arrive at the definition of the formalism to be used. The principles described are now integrated into the tool SPIRAL and are currently being employed in the development of several applications

  16. Knowledge based management of technical specifications

    International Nuclear Information System (INIS)

    Fiedler, U.; Schalm, S.; Pranckeviciute, K.

    1992-01-01

    TechSPEX is a knowledge based advisory system for checking the status of a nuclear plant on compliance with the safety limits and the limiting conditions of operation. These prescripts for safe reactor operation exist as textual information. For the purpose of its operational use an explicit representation formalism is introduced. On this basis, various approaches of text retrieval are realized, condition based surveillance and control is supported too. Knowledge editing and verification modules ease the adaption to changing requirements. TechSPEX has been implemented in PROLOG. (author). 6 refs, 3 figs

  17. Information modelling and knowledge bases XXV

    CERN Document Server

    Tokuda, T; Jaakkola, H; Yoshida, N

    2014-01-01

    Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modelin

  18. Strategic HRM in Building Micro-Foundations of Organizational Knowledge-Based Performance

    DEFF Research Database (Denmark)

    Minbaeva, Dana

    2013-01-01

    Strategic HRM research has a strong potential to further our understanding of how organizational knowledge processes influence performance at various analytical levels. Drawing on ability–motivation–opportunity research and linking it to knowledge sharing behaviors, we discuss the micro......-foundations in the link between strategic HRM practices and knowledge-based organizational performance. We thus describe a research agenda for future micro-foundational research that links strategic HRM and knowledge-based performance....

  19. Reframing the role of knowledge parks and science cities in knowledge-based urban development

    NARCIS (Netherlands)

    Benneworth, Paul Stephen; Ratinho, Tiago

    2014-01-01

    Knowledge-based urban developments (KBUDs) are an increasingly common element of urban planning and strategy making: policy makers and developers set out to stimulate economic prosperity by promoting the integration and concentration of research, technology, and human capital. But KBUD is, by its

  20. Assessment of change in knowledge about research methods among delegates attending research methodology workshop

    Directory of Open Access Journals (Sweden)

    Manisha Shrivastava

    2018-01-01

    Conclusion: There was increase in knowledge of the delegates after attending research methodology workshops. Participatory research methodology workshops are good methods of imparting knowledge, also the long term effects needs to be evaluated.

  1. Towards a semantic web connecting knowledge in academic research

    CERN Document Server

    Cope, Bill; Magee, Liam

    2011-01-01

    This book addresses the question of how knowledge is currently documented, and may soon be documented in the context of what it calls 'semantic publishing'. This takes two forms: a more narrowly and technically defined 'semantic web'; as well as a broader notion of semantic publishing. This book examines the ways in which knowledge is represented in journal articles and books. By contrast, it goes on to explore the potential impacts of semantic publishing on academic research and authorship. It sets this in the context of changing knowledge ecologies: the way research is done; the way knowledg

  2. Knowledge Translation for Cardiovascular Disease Research and Management in Japan.

    Science.gov (United States)

    Shommu, Nusrat S; Turin, Tanvir C

    2017-09-01

    Knowledge translation is an essential and emerging arena in healthcare research. It is the process of aiding the application of research knowledge into clinical practice or policymaking. Individuals at all levels of the health care system, including patients, healthcare professionals, and policymakers, are affected by the gaps that exist between research evidence and practice; the process of knowledge translation plays a role in bridging these gaps and incorporating high-quality clinical research into decision-making. Cardiovascular disease (CVD) management is a crucial area of healthcare where information gaps are known to exist. Although Japan has one of the lowest risks and mortality rates from CVDs, an increasing trend of cardiovascular incidence and changes in the risk factor conditions have been observed in recent years. This article provides an overview of knowledge translation and its importance in the cardiovascular health of the Japanese population, and describes the key steps of a typical knowledge translation strategy.

  3. Eliciting and Applying Local Research Knowledge for Peacebuilding ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    gs

    Carnegie Corporation of New York (CCNY) and the International Development Research Centre (IDRC) are pleased to announce a jointly-funded research initiative Eliciting and Applying Local Research. Knowledge for Peacebuilding and Statebuilding. The research initiative seeks to increase the level of recognition and ...

  4. Knowledge Exchange: selecting research opportunities through estimation.

    Science.gov (United States)

    Cudd, Peter; Fowler-Davis, Sally; Evans, Laura; Mawson, Sue

    2015-01-01

    A systematic way to select new ideas for research and development between two organisations is reported. It was applied to ideas that were generated from acute clinical settings by Occupational Therapists with a view to collaborate with nearby university academics from many disciplines. The process, assessment factors, use of ordinal scales with thresholding and an arbitrary formula are described. Challenges in the approach are discussed. Suitability for use by others in the AT field, other care related or even very different contexts is noted with some adaption and caveats.

  5. [Precision Nursing: Individual-Based Knowledge Translation].

    Science.gov (United States)

    Chiang, Li-Chi; Yeh, Mei-Ling; Su, Sui-Lung

    2016-12-01

    U.S. President Obama announced a new era of precision medicine in the Precision Medicine Initiative (PMI). This initiative aims to accelerate the progress of personalized medicine in light of individual requirements for prevention and treatment in order to improve the state of individual and public health. The recent and dramatic development of large-scale biologic databases (such as the human genome sequence), powerful methods for characterizing patients (such as genomics, microbiome, diverse biomarkers, and even pharmacogenomics), and computational tools for analyzing big data are maximizing the potential benefits of precision medicine. Nursing science should follow and keep pace with this trend in order to develop empirical knowledge and expertise in the area of personalized nursing care. Nursing scientists must encourage, examine, and put into practice innovative research on precision nursing in order to provide evidence-based guidance to clinical practice. The applications in personalized precision nursing care include: explanations of personalized information such as the results of genetic testing; patient advocacy and support; anticipation of results and treatment; ongoing chronic monitoring; and support for shared decision-making throughout the disease trajectory. Further, attention must focus on the family and the ethical implications of taking a personalized approach to care. Nurses will need to embrace the paradigm shift to precision nursing and work collaboratively across disciplines to provide the optimal personalized care to patients. If realized, the full potential of precision nursing will provide the best chance for good health for all.

  6. User-based and Cognitive Approaches to Knowledge Organization

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2013-01-01

    ’s PageRank are not based on the empirical studies of users. In knowledge organization, the Book House System is one example of a system based on user studies. In cognitive science the important WordNet database is claimed to be based on psychological research. This article considers such examples......In the 1970s and 1980s, forms of user-based and cognitive approaches to knowledge organization came to the forefront as part of the overall development in library and information science and in the broader society. The specific nature of userbased approaches is their basis in the empirical studies...

  7. Relation Analysis of Knowledge Management, Research, and Innovation in University Research Groups

    Directory of Open Access Journals (Sweden)

    Heyder Paez-Logreira

    2016-12-01

    Full Text Available Knowledge is a competitive advantage for companies. Knowledge Management helps to keep this competitiveness. Universities face with challenges in research, innovation and international competitiveness. The purpose of this paper includes studying Knowledge Management Models, and Innovation Models apply to Research Groups of Universities, through an analysis of relation in inter-organizational level. Some researchers and leaders of research groups participated in a survey about knowledge management and innovation. Here we show the relationship between knowledge management, innovation and research, including processes and operations performed by universities around these. We organize the results in three dimensions: Knowledge Management perception, the relationship between Knowledge Management and Innovation, and Strategic Knowledge organization. Too, we identify a generality of good practices, challenges, and limitations on Research Groups for Knowledge Management.

  8. Internal Communication and Social Dialogue in Knowledge-Based Organizations

    OpenAIRE

    Diana-Maria CISMARU; Cristina LEOVARIDIS

    2014-01-01

    Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of...

  9. Making sense of evidence in management decisions: the role of research-based knowledge on innovation adoption and implementation in healthcare. study protocol.

    Science.gov (United States)

    Kyratsis, Yiannis; Ahmad, Raheelah; Holmes, Alison

    2012-03-21

    We know that patient care can be improved by implementing evidence-based innovations and applying research findings linked to good practice. Successfully implementing innovations in complex organisations, such as the UK's National Health Service (NHS), is often challenging as multiple contextual dynamics mediate the process. Research studies have explored the challenges of introducing innovations into healthcare settings and have contributed to a better understanding of why potentially useful innovations are not always implemented in practice, even if backed by strong evidence. Mediating factors include health policy and health system influences, organisational factors, and individual and professional attitudes, including decision makers' perceptions of innovation evidence. There has been limited research on how different forms of evidence are accessed and utilised by organisational decision makers during innovation adoption. We also know little about how diverse healthcare professionals (clinicians, administrators) make sense of evidence and how this collective sensemaking mediates the uptake of innovations. The study will involve nine comparative case study sites of acute care organisations grouped into three regional clusters across England. Each of the purposefully selected sites represents a variety of trust types and organisational contexts. We will use qualitative methods, in-depth interviews, observation of key meetings, and systematic analysis of relevant secondary data to understand the rationale and challenges involved in sourcing and utilising innovation evidence in the empirical setting of infection prevention and control. We will use theories of innovation adoption and sensemaking in organisations to interpret the data. The research will provide lessons for the uptake and continuous use of innovations in the English and international health systems. Unlike most innovation studies, which involve single-level analysis, our study will explore the

  10. Making sense of evidence in management decisions: the role of research-based knowledge on innovation adoption and implementation in healthcare. study protocol

    Directory of Open Access Journals (Sweden)

    Kyratsis Yiannis

    2012-03-01

    Full Text Available Abstract Background We know that patient care can be improved by implementing evidence-based innovations and applying research findings linked to good practice. Successfully implementing innovations in complex organisations, such as the UK's National Health Service (NHS, is often challenging as multiple contextual dynamics mediate the process. Research studies have explored the challenges of introducing innovations into healthcare settings and have contributed to a better understanding of why potentially useful innovations are not always implemented in practice, even if backed by strong evidence. Mediating factors include health policy and health system influences, organisational factors, and individual and professional attitudes, including decision makers' perceptions of innovation evidence. There has been limited research on how different forms of evidence are accessed and utilised by organisational decision makers during innovation adoption. We also know little about how diverse healthcare professionals (clinicians, administrators make sense of evidence and how this collective sensemaking mediates the uptake of innovations. Methods The study will involve nine comparative case study sites of acute care organisations grouped into three regional clusters across England. Each of the purposefully selected sites represents a variety of trust types and organisational contexts. We will use qualitative methods, in-depth interviews, observation of key meetings, and systematic analysis of relevant secondary data to understand the rationale and challenges involved in sourcing and utilising innovation evidence in the empirical setting of infection prevention and control. We will use theories of innovation adoption and sensemaking in organisations to interpret the data. The research will provide lessons for the uptake and continuous use of innovations in the English and international health systems. Discussion Unlike most innovation studies, which involve

  11. Associating current knowledge with that of past experience based on knowledge about automata

    Energy Technology Data Exchange (ETDEWEB)

    Koenig, E C

    1982-01-01

    Important to the performance of interactive systems is the ability of its members to associate current knowledge with knowledge of past experience. Knowledge association results in greater detail of a current knowledge and is demonstrated through the use of examples. It is based on knowledge about automata and the knowledge structures are in the form of graphs. 11 references.

  12. Knowledge-based machine indexing from natural language text: Knowledge base design, development, and maintenance

    Science.gov (United States)

    Genuardi, Michael T.

    1993-01-01

    One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.

  13. Knowledge formations in Problem Based Learning

    DEFF Research Database (Denmark)

    Larsen, Verner

    organization are no longer based on relationships between strong independent disciplines, but rather on a number of ‘themes’ or ‘subject areas’ that should be combined and tied together during the students PBL-studies. As such, the curriculum organized knowledge, as well as student’s reflections of various...

  14. VICKEY: Mining Conditional Keys on Knowledge Bases

    DEFF Research Database (Denmark)

    Symeonidou, Danai; Prado, Luis Antonio Galarraga Del; Pernelle, Nathalie

    2017-01-01

    A conditional key is a key constraint that is valid in only a part of the data. In this paper, we show how such keys can be mined automatically on large knowledge bases (KBs). For this, we combine techniques from key mining with techniques from rule mining. We show that our method can scale to KBs...

  15. Improving the Knowledge Base in Teacher Education.

    Science.gov (United States)

    Rockler, Michael J.

    Education in the United States for most of the last 50 years has built its knowledge base on a single dominating foundation--behavioral psychology. This paper analyzes the history of behaviorism. Syntheses are presented of the theories of Ivan P. Pavlov, J. B. Watson, and B. F. Skinner, all of whom contributed to the body of works on behaviorism.…

  16. Tiger: knowledge based gas turbine condition monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Trave-Massuyes, L. [Centre National de la Recherche Scientifique (CNRS), 31 - Toulouse (France); Quevedo, J. [University of Catalonia, (Spain); Milne, R.; Nicol, Ch.

    1995-12-31

    Exxon petrochemical plant in Scotland requires continuous ethylene supply from offshore site in North Sea. The supply is achieved thanks to compressors driven by a 28 MW gas turbine, whose monitoring is of major importance. The TIGER fault diagnostic system is a knowledge base system containing a prediction model. (D.L.) 11 refs.

  17. Tiger: knowledge based gas turbine condition monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Trave-Massuyes, L [Centre National de la Recherche Scientifique (CNRS), 31 - Toulouse (France); Quevedo, J [University of Catalonia, (Spain); Milne, R; Nicol, Ch

    1996-12-31

    Exxon petrochemical plant in Scotland requires continuous ethylene supply from offshore site in North Sea. The supply is achieved thanks to compressors driven by a 28 MW gas turbine, whose monitoring is of major importance. The TIGER fault diagnostic system is a knowledge base system containing a prediction model. (D.L.) 11 refs.

  18. Do spin-off companies make academics' heads spin? The impacts of research-based spin-off companies on the production of scientific knowledge

    NARCIS (Netherlands)

    Zomer, A.H.

    2011-01-01

    Public research organisations nowadays are very much involved in the commercialisation of their research results, especially by creating spin-off companies. Government generally views research commercialisation as an important driver of innovation and as an opportunity to supplement increasingly

  19. Knowledge Based Help desk System in Nuclear Malaysia

    International Nuclear Information System (INIS)

    Mohamad Safuan Sulaiman; Abdul Muin Abdul Rahman; Norzalina Nasirudin; Khairiel Adyani Abdul Ghani; Abdul Aziz Mhd Ramli; Mohd Ashhar Khalid

    2012-01-01

    Knowledge based (K-based) Help desk system is a knowledge oriented web based system that provides support to business process of the technical service providers. It is a multi-centric system which focuses on end-users, technical workers and higher level management through utilization of knowledge which resides and grows within the system. The objectives of the system are to be a user-friendly, capture technical knowledge for efficient performance and educating users for self reliance. These were achieved through the improvement of the help desk business process and better management of technical knowledge. This system has been tested and implemented in Information Technology Center (IT), Engineering Division (BKJ) and Instrumentation and Automation Center (IAC) at the Malaysian Nuclear Agency (Nuclear Malaysia). Higher levels of user satisfaction and faster growth in technical knowledge repository have been recorded in the system. This paper describes the help desk system in the perspective of management of its technical knowledge contributing to strengthening organizational knowledge asset of Nuclear Malaysia as national nuclear research institution. (Author)

  20. Development of knowledge base system linked to material database

    International Nuclear Information System (INIS)

    Kaji, Yoshiyuki; Tsuji, Hirokazu; Mashiko, Shinichi; Miyakawa, Shunichi; Fujita, Mitsutane; Kinugawa, Junichi; Iwata, Shuichi

    2002-01-01

    The distributed material database system named 'Data-Free-Way' has been developed by four organizations (the National Institute for Materials Science, the Japan Atomic Energy Research Institute, the Japan Nuclear Cycle Development Institute, and the Japan Science and Technology Corporation) under a cooperative agreement in order to share fresh and stimulating information as well as accumulated information for the development of advanced nuclear materials, for the design of structural components, etc. In order to create additional values of the system, knowledge base system, in which knowledge extracted from the material database is expressed, is planned to be developed for more effective utilization of Data-Free-Way. XML (eXtensible Markup Language) has been adopted as the description method of the retrieved results and the meaning of them. One knowledge note described with XML is stored as one knowledge which composes the knowledge base. Since this knowledge note is described with XML, the user can easily convert the display form of the table and the graph into the data format which the user usually uses. This paper describes the current status of Data-Free-Way, the description method of knowledge extracted from the material database with XML and the distributed material knowledge base system. (author)

  1. Design-Based Research

    DEFF Research Database (Denmark)

    Gynther, Karsten; Christensen, Ove; Petersen, Trine Brun

    2012-01-01

    I denne artikel introduceres Design Based Research for første gang på dansk i et videnskabeligt tidsskrift. Artiklen præsenterer de grundlæggende antagelser, som ligger til grund for Design Based Research-traditionen, og artiklen diskuterer de principper, som ligger til grund for gennemførelse af...... et DBR-forskningsprojekt. Med udgangspunkt i forsknings- og udviklingsprojektet ELYK: E-læring, Yderområder og Klyngedannelse, præsenteres den innovationsmodel, som projektet har udviklet med udgangspunkt i Design Based Research traditionen. ELYKs DBR innovationsmodel har vist sig effektiv i forhold...

  2. Knowledge-based systems programming for knowledge intensive teaching

    NARCIS (Netherlands)

    Achten, H.H.; Dijkstra, J.; Oxman, R.M.; Colajanni, B.; Pellitteri, G.

    1995-01-01

    Typological design implies extensive knowledge of building types in order to design a building belonging to a building type. It facilitates the design process, which can be considered as a sequence of decisions. The paper gives an outline of a new approach in a course teaching typological knowledge

  3. Knowledge-based systems programming for knowledge intensive teaching

    NARCIS (Netherlands)

    Achten, H.H.; Dijkstra, J.; Oxman, R.M.; Bax, M.F.T.

    1994-01-01

    Typological design implies extensive knowledge of building types in order to design a building belonging to a building type. It facilitates the design process, which can be considered as a sequence of decisions. The paper gives an outline of a new approach in a course teaching typological knowledge

  4. Knowledge based diagnostics in nuclear power plants

    International Nuclear Information System (INIS)

    Baldeweg, F.; Fiedler, U.; Weiss, F.P.; Werner, M.

    1987-01-01

    In this paper a special process diagnostic system (PDS) is presented. It must be seen as the result of a long term work on computerized process surveillance and control; it includes a model based system for noise analysis of mechanical vibrations, which has recently been enhanced by using of knowledge based technique (expert systems). The paper discusses the process diagnostic frame concept and emphasize the vibration analysis expert system

  5. Knowledge Based Understanding of Radiology Text

    OpenAIRE

    Ranum, David L.

    1988-01-01

    A data acquisition tool which will extract pertinent diagnostic information from radiology reports has been designed and implemented. Pertinent diagnostic information is defined as that clinical data which is used by the HELP medical expert system. The program uses a memory based semantic parsing technique to “understand” the text. Moreover, the memory structures and lexicon necessary to perform this action are automatically generated from the diagnostic knowledge base by using a special purp...

  6. Knowledge service decision making in business incubators based on the supernetwork model

    Science.gov (United States)

    Zhao, Liming; Zhang, Haihong; Wu, Wenqing

    2017-08-01

    As valuable resources for incubating firms, knowledge resources have received gradually increasing attention from all types of business incubators, and business incubators use a variety of knowledge services to stimulate rapid growth in incubating firms. Based on previous research, we generalize the knowledge transfer and knowledge networking services of two main forms of knowledge services and further divide knowledge transfer services into knowledge depth services and knowledge breadth services. Then, we construct the business incubators' knowledge supernetwork model, describe the evolution mechanism among heterogeneous agents and utilize a simulation to explore the performance variance of different business incubators' knowledge services. The simulation results show that knowledge stock increases faster when business incubators are able to provide knowledge services to more incubating firms and that the degree of discrepancy in the knowledge stock increases during the process of knowledge growth. Further, knowledge transfer services lead to greater differences in the knowledge structure, while knowledge networking services lead to smaller differences. Regarding the two types of knowledge transfer services, knowledge depth services are more conducive to knowledge growth than knowledge breadth services, but knowledge depth services lead to greater gaps in knowledge stocks and greater differences in knowledge structures. Overall, it is optimal for business incubators to select a single knowledge service or portfolio strategy based on the amount of time and energy expended on the two types of knowledge services.

  7. Building the knowledge base for environmental action and sustainability

    DEFF Research Database (Denmark)

    2015-01-01

    was “Building the knowledge base for environmental action and sustainability”. The joint conference was designed to facilitate ‘within‐the‐domain’, as well as to create a space for developing synergies between the two communities. Altogether 125 research and applied papers (including extended abstracts) from 42......“Knowledge is power” (Sir Francis Bacon (1561 – 1626), Religious Meditations, Of Heresis, 1597) “Science is organised knowledge. Wisdom is organised life” (Immanuel Kant (1724 – 1804)) The 29th International Conference on Informatics for Environmental Protection and the third International...

  8. Knowledge based systems advanced concepts, techniques and applications

    CERN Document Server

    1997-01-01

    The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under unc

  9. Enhancing Knowledge Sharing and Research Collaboration among Academics: The Role of Knowledge Management

    Science.gov (United States)

    Tan, Christine Nya-Ling

    2016-01-01

    Although knowledge sharing (KS) has been acknowledged as important, universities face issues that may hinder active sharing among its faculty members such as the absence of trust among its members or insufficient incentives rewarded to those who deserved it. The aim of this research is to focus on the impact of knowledge management (KM) factors in…

  10. Knowledge Exchange and Discovery in the Age of Social Media: The Journey From Inception to Establishment of a Parent-Led Web-Based Research Advisory Community for Childhood Disability.

    Science.gov (United States)

    Russell, Dianne J; Sprung, Jennifer; McCauley, Dayle; Kraus de Camargo, Olaf; Buchanan, Francine; Gulko, Roman; Martens, Rachel; Gorter, Jan Willem

    2016-11-11

    Efforts to involve parents and families in all aspects of research, from initiating the question through to dissemination and knowledge exchange, are increasing. While social media as a method for health communication has shown numerous benefits, including increasing accessibility, interactions with others, and access to health care information, little work has been published on the use of social media to enhance research partnerships. Our objective was to describe the development and evaluation of a Web-based research advisory community, hosted on Facebook and connecting a diverse group of parents of special needs children with researchers at CanChild Centre for Childhood Disability Research. The goal of this community is to work together and exchange knowledge in order to improve research and the lives of children and their families. The Web-based Parents Participating in Research (PPR) advisory community was a secret Facebook group launched in June 2014 and run by 2 parent moderators who worked in consultation with CanChild. We evaluated its success using Facebook statistics of engagement and activity (eg, number of posts, number of comments) between June 2014 and April 2015, and a Web-based survey of members. The PPR community had 96 participants (2 parent moderators, 13 researchers, and 81 family members) as of April 1, 2015. Over 9 months, 432 original posts were made: 155 (35.9%) by moderators, 197 (45.6%) by parents, and 80 (18.5%) by researchers. Posts had a median of 3 likes (range 0-24) and 4 comments (range 0-113). Members, rather than moderators, generated 64% (277/432) of posts. The survey had a 51% response rate (49/96 members), with 40 (82%) being parent members and 9 (18%) being researchers. The initial purpose of the group was to be an advisory to CanChild, and 76% (28/37) of parents and all the researchers (9/9) identified having an impact on childhood disability research as their reason for participating. A total of 58% (23/40) of parents and 56

  11. Research and Development Knowledge Transfer across National Cultures

    NARCIS (Netherlands)

    Thiessen, M.; Hendriks, P.H.J.; Essers, C.; Pauleen, David J.

    2007-01-01

    With the increased tendency of multinational corporations (MNCs) to disperse their research and development (R&D) activities over various countries, the integration of the dispersed R&D knowledge via knowledge transfer across cultural borders becomes crucial for understanding and managing MNCs. The

  12. Participatory design based research

    DEFF Research Database (Denmark)

    Dau, Susanne; Bach Jensen, Louise; Falk, Lars

    This poster reveal how participatory design based research by the use of a CoED inspired creative process can be used for designing solutions to problems regarding students study activities outside campus.......This poster reveal how participatory design based research by the use of a CoED inspired creative process can be used for designing solutions to problems regarding students study activities outside campus....

  13. Research in education and concepts of knowledge: the production of knowledge in question

    Directory of Open Access Journals (Sweden)

    Almeida, Natalia Regina

    2014-04-01

    Full Text Available In the field of knowledge in education, discussion about the treatment given to its definition as a field, investigative object and different possibilities theoretical-methodological, epistemological, was frequent in the last decades of the twentieth century. In this perspective, the aspects that relate to the process of construction and production of research in the field of education and knowledge of different theoretical and methodological possibilities deserve more theoretical and conceptual investment. Thus, this paper, from the literature, aims to present a brief discussion of the different conceptions of knowledge in the construction of research in the field of knowledge in education and two theoretical and methodological positions the practice of educational research. As a final consideration, the intention of this article is not to exhaust the issue in question, for there are many issues that permeate the practice of educational research.

  14. Assessment of change in knowledge about research methods among delegates attending research methodology workshop.

    Science.gov (United States)

    Shrivastava, Manisha; Shah, Nehal; Navaid, Seema

    2018-01-01

    In an era of evidence based medicine research is an essential part of medical profession whether clinical or academic. A research methodology workshop intends to help participants, those who are newer to research field or those who are already doing empirical research. The present study was conducted to assess the changes in knowledge of the participants of a research methodology workshop through a structured questionnaire. With administrative and ethical approval, a four day research methodology workshop was planned. The participants were subjected to a structured questionnaire (pre-test) containing 20 multiple choice questions (Q1-Q 20) related to the topics to be covered in research methodology workshop before the commencement of the workshop and then subjected to similar posttest questionnaire after the completion of workshop. The mean values of pre and post-test scores were calculated and the results were analyzed and compared. Out of the total 153 delegates, 45(29 %) were males and 108 were (71 %) females. 92 (60%) participants consented to fill the pre-test questionnaire and 68 (44%) filled the post-test questionnaire. The mean Pre-test and post-test scores at 95% Confidence Interval were 07.62 (SD ±3.220) and 09.66 (SD ±2.477) respectively. The differences were found to be significant using Paired Sample T test ( P research methodology workshops. Participatory research methodology workshops are good methods of imparting knowledge, also the long term effects needs to be evaluated.

  15. Research Knowledge Transfer through Business-Driven Student Assignment

    OpenAIRE

    Sas, Corina

    2009-01-01

    This paper presents a knowledge transfer method which capitalises on both research and teaching dimensions of academic work. It also proposes a framework for evaluating the impact of such a method on the involved stakeholders.

  16. XML-Based SHINE Knowledge Base Interchange Language

    Science.gov (United States)

    James, Mark; Mackey, Ryan; Tikidjian, Raffi

    2008-01-01

    The SHINE Knowledge Base Interchange Language software has been designed to more efficiently send new knowledge bases to spacecraft that have been embedded with the Spacecraft Health Inference Engine (SHINE) tool. The intention of the behavioral model is to capture most of the information generally associated with a spacecraft functional model, while specifically addressing the needs of execution within SHINE and Livingstone. As such, it has some constructs that are based on one or the other.

  17. Satellite Contamination and Materials Outgassing Knowledge base

    Science.gov (United States)

    Minor, Jody L.; Kauffman, William J. (Technical Monitor)

    2001-01-01

    Satellite contamination continues to be a design problem that engineers must take into account when developing new satellites. To help with this issue, NASA's Space Environments and Effects (SEE) Program funded the development of the Satellite Contamination and Materials Outgassing Knowledge base. This engineering tool brings together in one location information about the outgassing properties of aerospace materials based upon ground-testing data, the effects of outgassing that has been observed during flight and measurements of the contamination environment by on-orbit instruments. The knowledge base contains information using the ASTM Standard E- 1559 and also consolidates data from missions using quartz-crystal microbalances (QCM's). The data contained in the knowledge base was shared with NASA by government agencies and industry in the US and international space agencies as well. The term 'knowledgebase' was used because so much information and capability was brought together in one comprehensive engineering design tool. It is the SEE Program's intent to continually add additional material contamination data as it becomes available - creating a dynamic tool whose value to the user is ever increasing. The SEE Program firmly believes that NASA, and ultimately the entire contamination user community, will greatly benefit from this new engineering tool and highly encourages the community to not only use the tool but add data to it as well.

  18. Building Virtual Collaborative Research Community Using Knowledge Management Approach

    Directory of Open Access Journals (Sweden)

    Ju-Ling Shih

    2010-09-01

    Full Text Available Many online communities nowadays are emphasized more on peer interactions and information sharing among members; very few online communities are built with knowledge management in nature supported by knowledge management system (KMS. This study aims to present a community of practice on how to effectively adopt a knowledge management system (KMS to neutralize a cyber collaborative learning community for a research lab in a higher education setting. A longitudinal case for 7 years was used to analyze the retention and extension of participants‟ community of practice experiences. Interviews were conducted for the comparison between experiences and theories. It was found that the transformations of tacit and explicit knowledge are in accordance with the framework of Nonaka‟s model of knowledge management from which we elicit the strategies and suggestions to the adoption and implementation of virtual collaborative research community supported by KMS.

  19. Knowledge-based fault diagnosis system for refuse collection vehicle

    International Nuclear Information System (INIS)

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y.

    2015-01-01

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle

  20. Knowledge-based fault diagnosis system for refuse collection vehicle

    Energy Technology Data Exchange (ETDEWEB)

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y. [Centre of Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka (Malaysia)

    2015-05-15

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.

  1. Big data analytics in immunology: a knowledge-based approach.

    Science.gov (United States)

    Zhang, Guang Lan; Sun, Jing; Chitkushev, Lou; Brusic, Vladimir

    2014-01-01

    With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  2. Big Data Analytics in Immunology: A Knowledge-Based Approach

    Directory of Open Access Journals (Sweden)

    Guang Lan Zhang

    2014-01-01

    Full Text Available With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  3. Mobile Communication and Work Practices in Knowledge-based Organizations

    Directory of Open Access Journals (Sweden)

    Pertti Hurme

    2005-01-01

    Full Text Available This paper examines the role of mobile communication, mobile tools and work practices in the context of organizations, especially knowledge-based organizations. Today, organizations are highly complex and diverse. Not surprisingly, various solutions to incorporating mobile tools and mobile communication in organizations have been devised. Challenges to technological development and research on mobile communication are presented.

  4. Beyond the Keyword Barrier: Knowledge-Based Information Retrieval.

    Science.gov (United States)

    Mauldin, Michael; And Others

    1987-01-01

    Describes the inability of traditional subject index terms to represent relational information among concepts, and the development of frame based knowledge representation methods that provide relational semantic representations of documents and user queries. The discussion covers research in user interfaces and automatic document classifications,…

  5. Finding Environmental Knowledge in SCUBA-Based Textual Materials

    Science.gov (United States)

    Gündogdu, Cemal; Aygün, Yalin; Ilkim, Mehmet

    2018-01-01

    As marine environments within the adventure domain are future key-settings for recreational SCUBA diving experience, SCUBA-based textual materials should provide insight into environmental knowledge that is well connected to the novice divers' behaviour and attitude. This research is concerned with a major recreational SCUBA diver manual for…

  6. Use of online knowledge resources by prominent South African researchers

    Directory of Open Access Journals (Sweden)

    Reinhold Treptow

    2011-01-01

    Full Text Available The growth in online knowledge resources has transformed information securing practices and effects have been especially pronounced for scientific journals. It has therefore become increasingly necessary to understand researchers’ information search and securing preferences. Leading South African researchers were indentified and invited to participate in a web- based survey to this end. Results indicate that electronic resources are favoured for journal articles, but not for books, and researchers commonly employ chaining and browsing behaviour to locate relevant journal articles. Full-text journals are favoured by researchers to undertake searches. These are favoured over other bibliographic databases and other federated searches (Google, Google Scholar and MetaLib. Analyses of the coverage of top rated journals by the two top rated full- text databases EBSCOhost and ScienceDirect reveals significantly lower coverage when compared with the coverage of top journals by the citation databases Scopus and Web of Science. Researchers should therefore make greater use of these resources to effectively locate relevant material.

  7. Knowledge based systems for intelligent robotics

    Science.gov (United States)

    Rajaram, N. S.

    1982-01-01

    It is pointed out that the construction of large space platforms, such as space stations, has to be carried out in the outer space environment. As it is extremely expensive to support human workers in space for large periods, the only feasible solution appears to be related to the development and deployment of highly capable robots for most of the tasks. Robots for space applications will have to possess characteristics which are very different from those needed by robots in industry. The present investigation is concerned with the needs of space robotics and the technologies which can be of assistance to meet these needs, giving particular attention to knowledge bases. 'Intelligent' robots are required for the solution of arising problems. The collection of facts and rules needed for accomplishing such solutions form the 'knowledge base' of the system.

  8. Knowledge-based computer security advisor

    International Nuclear Information System (INIS)

    Hunteman, W.J.; Squire, M.B.

    1991-01-01

    The rapid expansion of computer security information and technology has included little support to help the security officer identify the safeguards needed to comply with a policy and to secure a computing system. This paper reports that Los Alamos is developing a knowledge-based computer security system to provide expert knowledge to the security officer. This system includes a model for expressing the complex requirements in computer security policy statements. The model is part of an expert system that allows a security officer to describe a computer system and then determine compliance with the policy. The model contains a generic representation that contains network relationships among the policy concepts to support inferencing based on information represented in the generic policy description

  9. Knowledge Governance in Project-Based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf

    This paper conceptualizes knowledge governance (KG) in project-based organizations (PBOs) and its methodological approaches for empirical investigation. Three key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced. These contributions include a defini......This paper conceptualizes knowledge governance (KG) in project-based organizations (PBOs) and its methodological approaches for empirical investigation. Three key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced. These contributions include...... a definition of KG in PBOs, a conceptual framework to investigate KG and a methodological framework for empirical inquiry into KG in PBO settings. Our definition highlights the contingent nature of KG processes in relation to their organizational context. The conceptual framework addresses macro- and micro...

  10. Connecting the Dots: Understanding the Flow of Research Knowledge within a Research Brokering Network

    Science.gov (United States)

    Rodway, Joelle

    2015-01-01

    Networks are frequently cited as an important knowledge mobilization strategy; however, there is little empirical research that considers how they connect research and practice. Taking a social network perspective, I explore how central office personnel find, understand and share research knowledge within a research brokering network. This mixed…

  11. GrandBase: generating actionable knowledge from Big Data

    Directory of Open Access Journals (Sweden)

    Xiu Susie Fang

    2017-08-01

    Full Text Available Purpose – This paper aims to propose a system for generating actionable knowledge from Big Data and use this system to construct a comprehensive knowledge base (KB, called GrandBase. Design/methodology/approach – In particular, this study extracts new predicates from four types of data sources, namely, Web texts, Document Object Model (DOM trees, existing KBs and query stream to augment the ontology of the existing KB (i.e. Freebase. In addition, a graph-based approach to conduct better truth discovery for multi-valued predicates is also proposed. Findings – Empirical studies demonstrate the effectiveness of the approaches presented in this study and the potential of GrandBase. The future research directions regarding GrandBase construction and extension has also been discussed. Originality/value – To revolutionize our modern society by using the wisdom of Big Data, considerable KBs have been constructed to feed the massive knowledge-driven applications with Resource Description Framework triples. The important challenges for KB construction include extracting information from large-scale, possibly conflicting and different-structured data sources (i.e. the knowledge extraction problem and reconciling the conflicts that reside in the sources (i.e. the truth discovery problem. Tremendous research efforts have been contributed on both problems. However, the existing KBs are far from being comprehensive and accurate: first, existing knowledge extraction systems retrieve data from limited types of Web sources; second, existing truth discovery approaches commonly assume each predicate has only one true value. In this paper, the focus is on the problem of generating actionable knowledge from Big Data. A system is proposed, which consists of two phases, namely, knowledge extraction and truth discovery, to construct a broader KB, called GrandBase.

  12. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    OpenAIRE

    G. Waeyenbergh; L. Pintelon; L. Gelders

    2012-01-01

    Maintenance decision making becomes more and more a management concern. Some decades ago, maintenance was still often considered as an unavoidable side effect of production. The perception of maintenance has evolved considerably. One of the current issues is the maintenance concept, being the mix of maintenance interventions and the general framework for determining this mix. In this paper we describe a modular framework, called Knowledge Based Maintenance, for developing a customised mainten...

  13. An exploration of knowledge integration problems in interdisciplinary research teams

    NARCIS (Netherlands)

    Bayerl, P.S.; Steinheider, B.

    2009-01-01

    The integration of function-specific expertise into a shared knowledge base is a crucial, but complex process for success in interdisciplinary teams. This paper presents an empirically derived typology of knowledge integration problems and links their occurrence to degree of heterogeneity and

  14. The many secure knowledge bases of psychotherapy.

    Science.gov (United States)

    Bergner, Raymond M

    2006-01-01

    Psychotherapeutic practice, while it has benefited greatly from scientific research, rests on many further secure epistemic foundations. In the present article, this thesis is argued in two stages. First, a brief review of some elementary epistemological findings is presented. In this review, the generally acknowledged degree of certainty attributed to different knowledge sources, and thus the confidence with which we may believe and act upon them, are recounted. Second, an extended analysis of the ways in which each of these knowledge sources enter into the practice of psychotherapy is developed. In the end, what is proffered here is a demonstration that well conducted psychotherapy is an activity whose judgments and decisions rest on many secure foundations.

  15. The HEP Software and Computing Knowledge Base

    Science.gov (United States)

    Wenaus, T.

    2017-10-01

    HEP software today is a rich and diverse domain in itself and exists within the mushrooming world of open source software. As HEP software developers and users we can be more productive and effective if our work and our choices are informed by a good knowledge of what others in our community have created or found useful. The HEP Software and Computing Knowledge Base, hepsoftware.org, was created to facilitate this by serving as a collection point and information exchange on software projects and products, services, training, computing facilities, and relating them to the projects, experiments, organizations and science domains that offer them or use them. It was created as a contribution to the HEP Software Foundation, for which a HEP S&C knowledge base was a much requested early deliverable. This contribution will motivate and describe the system, what it offers, its content and contributions both existing and needed, and its implementation (node.js based web service and javascript client app) which has emphasized ease of use for both users and contributors.

  16. A knowledge-based system for fluidization studies

    Energy Technology Data Exchange (ETDEWEB)

    1990-04-01

    Chemical engineers depend on process simulation models to determine optimal'' plant configurations which are technically feasible and economically viable. This research was undertaken to develop a comprehensive knowledge based simulation environment IPSE (Intelligent Process Simulation Environment) that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant during all phases of process simulation involving fossil energy processes. In summary, the goals of this research are: application of knowledge-based techniques to the process modeling domain for enhancement of productivity; archiving and distribution of the knowledge of the best experts of process modeling; cross-model inference assistance to modelers not familiar with the process; and development of IPSE to serve as an intelligent tutoring system for process simulation. 18 figs.

  17. Cultural and Rhetorical Bases for communicating knowledge in web based communities

    DEFF Research Database (Denmark)

    Kampf, Constance; Kommers, Piet

    2008-01-01

    Cultural and Rhetorical Bases for communicating knowledge in web based communities How can we extend learner-centred theories for educational technology to include, for instance, the cultural and rhetorical backgrounds which influence participants in online communities as they engage in knowledge...... via web-based communities the intersection of culture and rhetoric in web-based communication rhetoric and discourse in the process of communicating knowledge via technology heuristics for knowledge communication from teaching in online forums connections between identity and knowledge communication...... This call for papers invites papers focused on theoretical frameworks or empirical research which highlights the cultural and/or rhetorical aspects of communicating knowledge in web based communities. We are looking for work that brings together methods and perspectives across disciplines...

  18. Knowledge Integration and Inter-Disciplinary Communication in Action Research

    Directory of Open Access Journals (Sweden)

    Hahn Heidi Ann

    2014-08-01

    Full Text Available In a plenary talk at WMSCI 2012 entitled "Planning for Action Research: Looking at Practice through a Different Lens," this author asserted that behavioral science practitioners, often "back into" action research – they start out doing a process improvement or intervention and discover something along the way, i.e., generalizable knowledge, that seems worthwhile to share with their community of practice. It was further asserted that, had the efforts been conceived of as research from the outset, the contributions to the body of knowledge would be more robust and the utility of the projects would improve as well. This paper continues on that theme. Action research and process improvement methods are briefly described and compared. A comparison of two Los Alamos National Laboratory engineering ethics training projects – one developed using a process improvement framework, the other using an action research framework – is put forth to provide evidence that use of a research "lens" can enhance behavioral science interventions and the knowledge that may result from them. The linkage between the Specifying Learning and Diagnosing stages of the Action Research Cycle provides one mechanism for integrating the knowledge gained into the product or process being studied and should provide a reinforcing loop that leads to continual improvement. The collaborative relationships among researchers and the individual, group, or organization that is the subject of the imp rovement op p ortunity (the "client", who are likely from very different backgrounds, and the interpretive epistemology that are among the hallmarks of action research also contribute to the quality of the knowledge gained. This paper closes with a discussion of how Inter-Disciplinary Communication is embedded within the action research paradigm and how this likely also enriches the knowledge gained.

  19. Knowledge-based geometric modeling in construction

    DEFF Research Database (Denmark)

    Bonev, Martin; Hvam, Lars

    2012-01-01

    a considerably high amount of their recourses is required for designing and specifying the majority of their product assortment. As design decisions are hereby based on knowledge and experience about behaviour and applicability of construction techniques and materials for a predefined design situation, smart......A wider application of IT-based solutions, such as configuration systems and the implementation of modeling standards, has facilitated the trend to produce mass customized products to support inter alia the specification process of the increasing product variety. However, not all industries have...

  20. Research on application of knowledge engineering to nuclear power stations

    International Nuclear Information System (INIS)

    Umeda, Takeo; Kiyohashi, Satoshi

    1990-01-01

    Recently, the research on the software and hardware regarding knowledge engineering has been advanced eagerly. Especially the applicability of expert systems is high. When expert systems are introduced into nuclear power stations, it is necessary to make the plan for introduction based on the detailed knowledge on the works in nuclear power stations, and to improve the system repeatedly by adopting the opinion and request of those in charge upon the trial use. Tohoku Electric Power Co. was able to develop the expert system of practically usable scale 'Supporting system for deciding fuel movement procedure'. The survey and analysis of the works in nuclear power stations, the selection of the system to be developed and so on are reported. In No. 1 plant of Onagawa Nuclear Power Station of BWR type, up to 1/3 of the fuel is replaced at the time of the regular inspection. Some fuel must be taken to outside for ensuring the working space. The works of deciding fuel movement procedure, the development of the system and its evaluation are described. (K.I.)

  1. Knowledge-based Fragment Binding Prediction

    Science.gov (United States)

    Tang, Grace W.; Altman, Russ B.

    2014-01-01

    Target-based drug discovery must assess many drug-like compounds for potential activity. Focusing on low-molecular-weight compounds (fragments) can dramatically reduce the chemical search space. However, approaches for determining protein-fragment interactions have limitations. Experimental assays are time-consuming, expensive, and not always applicable. At the same time, computational approaches using physics-based methods have limited accuracy. With increasing high-resolution structural data for protein-ligand complexes, there is now an opportunity for data-driven approaches to fragment binding prediction. We present FragFEATURE, a machine learning approach to predict small molecule fragments preferred by a target protein structure. We first create a knowledge base of protein structural environments annotated with the small molecule substructures they bind. These substructures have low-molecular weight and serve as a proxy for fragments. FragFEATURE then compares the structural environments within a target protein to those in the knowledge base to retrieve statistically preferred fragments. It merges information across diverse ligands with shared substructures to generate predictions. Our results demonstrate FragFEATURE's ability to rediscover fragments corresponding to the ligand bound with 74% precision and 82% recall on average. For many protein targets, it identifies high scoring fragments that are substructures of known inhibitors. FragFEATURE thus predicts fragments that can serve as inputs to fragment-based drug design or serve as refinement criteria for creating target-specific compound libraries for experimental or computational screening. PMID:24762971

  2. Community Music Knowledge Exchange Research in Scottish Higher Education

    Science.gov (United States)

    Moran, Nikki; Loening, Gica

    2011-01-01

    This article examines the usefulness of Knowledge Exchange (KE) funding streams for higher education community music research projects, with a case study of one particular project that took place between February and April 2010. The project was funded via a KE stream, linking University researchers with a well-established community music charity…

  3. The representation of knowledge within model-based control systems

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

    The ability to represent knowledge is often considered essential to build systems with reasoning capabilities. In computer science, a good solution often depends on a good representation. The first step in development of most computer applications is selection of a representation for the input, output, and intermediate results that the program will operate upon. For applications in artificial intelligence, this initial choice of representation is especially important. This is because the possible representational paradigms are diverse and the forcing criteria for the choice are usually not clear in the beginning. Yet, the consequences of an inadequate choice can be devastating in the later state of a project if it is discovered that critical information cannot be encoded within the chosen representational paradigm. Problems arise when designing representational systems to support any kind of Knowledge-Base System, that is a computer system that uses knowledge to perform some task. The general case of knowledge-based systems can be thought of as reasoning agents applying knowledge to achieve goals. Artificial Intelligence (AI) research involves building computer systems to perform tasks of perception and reasoning, as well as storage and retrieval of data. The problem of automatically perceiving large patterns in data is a perceptual task that begins to be important for many expert systems applications. Most of AI research assumes that what needs to be represented is known a priori; an AI researcher's job is just figuring out how to encode the information in the system's data structure and procedures. 10 refs

  4. Knowledge-based simulation using object-oriented programming

    Science.gov (United States)

    Sidoran, Karen M.

    1993-01-01

    Simulations have become a powerful mechanism for understanding and modeling complex phenomena. Their results have had substantial impact on a broad range of decisions in the military, government, and industry. Because of this, new techniques are continually being explored and developed to make them even more useful, understandable, extendable, and efficient. One such area of research is the application of the knowledge-based methods of artificial intelligence (AI) to the computer simulation field. The goal of knowledge-based simulation is to facilitate building simulations of greatly increased power and comprehensibility by making use of deeper knowledge about the behavior of the simulated world. One technique for representing and manipulating knowledge that has been enhanced by the AI community is object-oriented programming. Using this technique, the entities of a discrete-event simulation can be viewed as objects in an object-oriented formulation. Knowledge can be factual (i.e., attributes of an entity) or behavioral (i.e., how the entity is to behave in certain circumstances). Rome Laboratory's Advanced Simulation Environment (RASE) was developed as a research vehicle to provide an enhanced simulation development environment for building more intelligent, interactive, flexible, and realistic simulations. This capability will support current and future battle management research and provide a test of the object-oriented paradigm for use in large scale military applications.

  5. Scientometric trends and knowledge maps of global health systems research.

    Science.gov (United States)

    Yao, Qiang; Chen, Kai; Yao, Lan; Lyu, Peng-hui; Yang, Tian-an; Luo, Fei; Chen, Shan-quan; He, Lu-yang; Liu, Zhi-yong

    2014-06-05

    In the last few decades, health systems research (HSR) has garnered much attention with a rapid increase in the related literature. This study aims to review and evaluate the global progress in HSR and assess the current quantitative trends. Based on data from the Web of Science database, scientometric methods and knowledge visualization techniques were applied to evaluate global scientific production and develop trends of HSR from 1900 to 2012. HSR has increased rapidly over the past 20 years. Currently, there are 28,787 research articles published in 3,674 journals that are listed in 140 Web of Science subject categories. The research in this field has mainly focused on public, environmental and occupational health (6,178, 21.46%), health care sciences and services (5,840, 20.29%), and general and internal medicine (3,783, 13.14%). The top 10 journals had published 2,969 (10.31%) articles and received 5,229 local citations and 40,271 global citations. The top 20 authors together contributed 628 papers, which accounted for a 2.18% share in the cumulative worldwide publications. The most productive author was McKee, from the London School of Hygiene & Tropical Medicine, with 48 articles. In addition, USA and American institutions ranked the first in health system research productivity, with high citation times, followed by the UK and Canada. HSR is an interdisciplinary area. Organization for Economic Co-operation and Development countries showed they are the leading nations in HSR. Meanwhile, American and Canadian institutions and the World Health Organization play a dominant role in the production, collaboration, and citation of high quality articles. Moreover, health policy and analysis research, health systems and sub-systems research, healthcare and services research, health, epidemiology and economics of communicable and non-communicable diseases, primary care research, health economics and health costs, and pharmacy of hospital have been identified as the

  6. Knowledge-Based Object Detection in Laser Scanning Point Clouds

    Science.gov (United States)

    Boochs, F.; Karmacharya, A.; Marbs, A.

    2012-07-01

    Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available for use. Such modeling algorithms are data-driven and concentrate on specific features of the objects, being accessible to numerical models. We present an approach that brings the human expert knowledge about the scene, the objects inside, and their representation by the data and the behavior of algorithms to the machine. This "understanding" enables the machine to assist human interpretation of the scene inside the point cloud. Furthermore, it allows the machine to understand possibilities and limitations of algorithms and to take this into account within the processing chain. This not only assists the researchers in defining optimal processing steps, but also provides suggestions when certain changes or new details emerge from the point cloud. Our approach benefits from the advancement in knowledge technologies within the Semantic Web framework. This advancement has provided a strong base for applications based on knowledge management. In the article we will present and describe the knowledge technologies used for our approach such as Web Ontology Language (OWL), used for formulating the knowledge base and the Semantic Web Rule Language (SWRL) with 3D processing and topologic built-ins, aiming to combine geometrical analysis of 3D point clouds, and specialists' knowledge of the scene and algorithmic processing.

  7. A Knowledge-Based Consultant for Financial Marketing

    OpenAIRE

    Kastner, John; Apte, Chidanand; Griesmer, James

    1986-01-01

    This article describes an effort to develop a knowledge-based financial marketing consultant system. Financial marketing is an excellent vehicle for both research and application in artificial intelligence (AI). This domain differs from the great majority of previous expert system domains in that there are no well-defined answers (in traditional sense); the goal here is to obtain satisfactory arguments to support the conclusions made. A large OPS5-based system was implemented as an initial pr...

  8. An Algebraic Approach to Knowledge Bases Informational Equivalence

    OpenAIRE

    Plotkin, B.; Plotkin, T.

    2003-01-01

    In this paper we study the notion of knowledge from the positions of universal algebra and algebraic logic. We consider first order knowledge which is based on first order logic. We define categories of knowledge and knowledge bases. These notions are defined for the fixed subject of knowledge. The key notion of informational equivalence of two knowledge bases is introduced. We use the idea of equivalence of categories in this definition. We prove that for finite models there is a clear way t...

  9. Knowledge Management for Nuclear Research and Development Organizations

    International Nuclear Information System (INIS)

    2012-05-01

    This publication elaborates on the role of nuclear knowledge management in a research and development (R and D) context, and on the importance of facilitating innovation and future development of nuclear technologies for nuclear power, its associated fuel cycles and nuclear applications in medicine, industry and agriculture. It highlights aspects including transferring and preserving knowledge, exchanging information, establishing and supporting cooperative networks, and training the next generation of nuclear experts. It concludes with basic concepts, trends and key drivers for nuclear knowledge management to R and D project managers and other workers from nuclear R and D organizations.

  10. Knowledge Management for Nuclear Research and Development Organizations (Russian Edition)

    International Nuclear Information System (INIS)

    2016-01-01

    This publication elaborates on the role of nuclear knowledge management in a research and development (R&D) context, and on the importance of facilitating innovation and future development of nuclear technologies for nuclear power, its associated fuel cycles, and nuclear applications in medicine, industry and agriculture. It highlights aspects such as transferring and preserving knowledge, exchanging information, establishing and supporting cooperative networks, and training the next generation of nuclear experts. It concludes with basic concepts, trends and key drivers for nuclear knowledge management for R&D project managers and other workers from nuclear R&D organizations.

  11. Knowledge Management in Role Based Agents

    Science.gov (United States)

    Kır, Hüseyin; Ekinci, Erdem Eser; Dikenelli, Oguz

    In multi-agent system literature, the role concept is getting increasingly researched to provide an abstraction to scope beliefs, norms, goals of agents and to shape relationships of the agents in the organization. In this research, we propose a knowledgebase architecture to increase applicability of roles in MAS domain by drawing inspiration from the self concept in the role theory of sociology. The proposed knowledgebase architecture has granulated structure that is dynamically organized according to the agent's identification in a social environment. Thanks to this dynamic structure, agents are enabled to work on consistent knowledge in spite of inevitable conflicts between roles and the agent. The knowledgebase architecture is also implemented and incorporated into the SEAGENT multi-agent system development framework.

  12. Identification of Managerial Competencies in Knowledge-based Organizations

    Directory of Open Access Journals (Sweden)

    Königová Martina

    2012-03-01

    Full Text Available Managerial competencies identification and development are important tools of human resources management that is aimed at achieving strategic organizational goals. Due to current dynamic development and changes, more and more attention is being paid to the personality of managers and their competencies, since they are viewed as important sources of achieving a competitive advantage. The objective of this article is to identify managerial competencies in the process of filling vacant working positions in knowledge-based organizations in the Czech Republic. The objective was determined with reference to the Czech Science Foundation GACR research project which focuses on the identification of managerial competencies in knowledge-based organizations in the Czech Republic. This identification within the frame of the research project is primarily designed and subsequently realised on the basis of content analysis of media communications such as advertisements - a means through which knowledge- based organizations search for suitable candidates for vacant managerial positions. The first part of the article deals with theoretical approaches to knowledge-based organizations and issues on competencies. The second part evaluates the outcomes of the survey carried out, and also summarizes the basic steps of the application of competencies. The final part summarizes the benefits and difficulties of applying the competency-based approach as a tool of efficient management of organizations for the purpose of achieving a competitive advantage.

  13. Knowledge collaborative incentive based on inter-organizational cooperative innovation of project-based supply chain

    Directory of Open Access Journals (Sweden)

    Guangdong Wu

    2013-09-01

    Full Text Available Purpose: Within project-based supply chain inter-organizational cooperative innovation, the achievement of project value-adding reflects by factors such as project-based organizational effect level, the relationship between project cooperative innovation objectives etc. The purpose is to provide a reliable reference for the contractor reasonably allocate the effect level and resources between the knowledge input and innovation stage and realize the knowledge collaboration for project-based supply chain. Design/methodology/approach: Based on the assumption of equal cooperation between project-based organizations, from the view of maximizing project value-adding and the relationship of effect cost between knowledge input and innovation stage in consideration, the knowledge collaborative incentive model for project-based supply chain inter-organizational cooperative innovation was established, and solved through the first-order and second-order approach, then the digital simulation and example analysis were presented. Findings: The results show that, the project management enterprise resorted to adjust project knowledge collaboration incentive intensity and implemented knowledge input-innovation coordinative incentive strategy, not only could achieve project value-adding maximization, but also could realize net earnings Pareto improvement between project management enterprise and contractor. Research limitations/implications: To simplify the knowledge flow among project-based organizations, the knowledge flow in the model hypothesis is presented as knowledge input and knowledge innovation stage, thus it may affect the final analysis results. Originality/value: In construction project practice, knowledge is become more and more important to achieve project value-adding. The research can provide a theoretical guideline for the project-based organizations, such as the contractor, the owner, especially how to utilize their core knowledge.

  14. Study on the knowledge base system for the identification of typical target

    International Nuclear Information System (INIS)

    Qin Kai; Zhao Yingjun

    2008-01-01

    Based on the research on target knowledge base, target database, texture analysis, shape analysis, this paper proposed a new knowledge based method for typical target identification from remote sensing image. By extracting the texture characters and shape characters, joining with spatial analysis in GIS, reasoning according to the prior knowledge in the knowledge base, this method can identify and ex- tract typical target from remote sensing images. (authors)

  15. Comparison of clinical knowledge bases for summarization of electronic health records.

    Science.gov (United States)

    McCoy, Allison B; Sittig, Dean F; Wright, Adam

    2013-01-01

    Automated summarization tools that create condition-specific displays may improve clinician efficiency. These tools require new kinds of knowledge that is difficult to obtain. We compared five problem-medication pair knowledge bases generated using four previously described knowledge base development approaches. The number of pairs in the resulting mapped knowledge bases varied widely due to differing mapping techniques from the source terminologies, ranging from 2,873 to 63,977,738 pairs. The number of overlapping pairs across knowledge bases was low, with one knowledge base having half of the pairs overlapping with another knowledge base, and most having less than a third overlapping. Further research is necessary to better evaluate the knowledge bases independently in additional settings, and to identify methods to integrate the knowledge bases.

  16. Research into the development of a knowledge acquisition taxonomy

    Science.gov (United States)

    Fink, Pamela K.; Herren, L. Tandy

    1991-01-01

    The focus of the research was on the development of a problem solving taxonomy that can support and direct the knowledge engineering process during the development of an intelligent tutoring system. The results of the research are necessarily general. Being only a small initial attempt at a fundamental problem in artificial intelligence and cognitive psychology, the process has had to be bootstrapped and the results can only provide pointers to further, more formal research designs.

  17. Review and reflection of research on the knowledge structure of physical education teachers in the past 20 years

    Directory of Open Access Journals (Sweden)

    LU Bochun

    2013-08-01

    Full Text Available From the view of knowledge,methodology and other perspectives of regression and reflection on the knowledge structure of the PE teachers of the status quo in the past 20 years,it is considered that the base of the existing knowledge of research is primarily on the knowledge view of objectivism,the perspective of research is restricted.For many years research category of the knowledge structure of PE teachers was consistently confined to discipline knowledge + educational knowledge + culture knowledge.Research Methodology and methods are mainly confined to Speculative theory research guided by rational debate methodology and questionnaire survey research guided by positivist methodology.Due to the impact of the knowledge view of objectivism,rational debate focuses on the objectivity theory knowledge ought status in knowledge structure of PE teachers.Questionnaire survey research is mainly based on attitude survey research,reflecting the ideal state of knowledge structure of physical education teachers.Suggestion: update knowledge,enrich methodological the guidance,pay more attention to the actual condition of knowledge structure of physical education teachers,reveal physical education teachers in the context of the formation,development,and application patterns of their knowledge structure in sports teaching situation,etc.

  18. Internal Communication and Social Dialogue in Knowledge-Based Organizations

    Directory of Open Access Journals (Sweden)

    Diana-Maria CISMARU

    2014-02-01

    Full Text Available Knowledge-based organizations are constructed on intangible assets, such as the expertise and the values of the employees. As a consequence, motivation and professional excellence of employees are the main objectives of management teams. For this type of organizations, considered as true “knowledge systems”, the employees represent the most valuable resource that is not motivated only through financial means, but also through internal communication, autonomy or social rewards. The research of Eurofound shows that knowledge-based organizations have a low number of trade unions, while professional associations are more relevant for them. There is no tradition to defend through negotiation the working conditions of employees, thus it is important for managers to use the best practices, in order to increase the employees’ loyalty. We conducted a qualitative research concerning the quality of professional life of employees in five sectors of knowledge-based services: advertising-marketing, IT, banking and finance, research and development, and higher education; 15-20 employees from each sector were interviewed. Some of the questions referred directly to trade unions and affiliation, and also to internal communication. Although the results showed a different situation in each of the five sectors, there are few common characteristics: descendant communication is more frequent than ascendant communication, trade unions were reported as missing, unrepresentative or not very active, and the greatest part of employees in this sector are not affiliated, facts that limits the possibility of maintaining employees’ motivation on long term.

  19. Development of knowledge acquisition methods for knowledge base construction for autonomous plants

    Energy Technology Data Exchange (ETDEWEB)

    Yoshikawa, S. [Power Reactor and Nuclear Fuel Development Corp., Oarai, Ibaraki (Japan). Oarai Engineering Center; Sasajima, M.; Kitamura, Y.; Ikeda, M.; Mizoguchi, R.

    1993-03-01

    In order to enhance safety and reliability of nuclear plant operation, it is strongly desired to construct diagnostic knowledge base without lacking, contradiction, and description inconsistency. Nowadays, an advanced method Knowledge Compiler` has been studied to acquire diagnostic knowledge, mainly based on qualitative reasoning technique, without accumulating heuristics by interviews. Until now, 2 methods to suppress the ambiguity observed when qualitative reasoning mechanism were applied to heat transport systems of nuclear power plants: In the first method, qualitative values are allocated to the system variables along with the causality direction, avoiding contradictions among plural variables in each qualitative constraint describing knowledge of deviation propagation, heat balance, or energy conservation. In the second method, all the qualitative information is represented as a set of simultaneous qualitative equations. And, an appropriate subset is selected so that the qualitative solutions of unknowns in this subset can be derived independently of the remaining part. A contrary method is applied for the selected subset to derive local solutions. Then the problem size is reduced by substituting solutions of the subset, in a recursive manner. In the previous report on this research project, complete computer softwares have been constructed based on these methods, and applied to a 2-loop heat transport system of a nuclear power plant. The detailed results are discussed in this report. In addition, an integrated configuration of diagnostic knowledge generation system of nuclear power plants is proposed, based upon the results and new foundings obtained through the research activities so far, and the future works to overcome remaining problems are also identified. (author)

  20. Moving knowledge into action for more effective practice, programmes and policy: protocol for a research programme on integrated knowledge translation.

    Science.gov (United States)

    Graham, Ian D; Kothari, Anita; McCutcheon, Chris

    2018-02-02

    Health research is conducted with the expectation that it advances knowledge and eventually translates into improved health systems and population health. However, research findings are often caught in the know-do gap: they are not acted upon in a timely way or not applied at all. Integrated knowledge translation (IKT) is advanced as a way to increase the relevance, applicability and impact of research. With IKT, knowledge users work with researchers throughout the research process, starting with identification of the research question. Knowledge users represent those who would be able to use research results to inform their decisions (e.g. clinicians, managers, policy makers, patients/families and others). Stakeholders are increasingly interested in the idea that IKT generates greater and faster societal impact. Stakeholders are all those who are interested in the use of research results but may not necessarily use them for their own decision-making (e.g. governments, funders, researchers, health system managers and policy makers, patients and clinicians). Although IKT is broadly accepted, the actual research supporting it is limited and there is uncertainty about how best to conduct and support IKT. This paper presents a protocol for a programme of research testing the assumption that engaging the users of research in phases of its production leads to (a) greater appreciation of and capacity to use research; (b) the production of more relevant, useful and applicable research that results in greater impact; and (c) conditions under which it is more likely that research results will influence policy, managerial and clinical decision-making. The research programme will adopt an interdisciplinary, international, cross-sector approach, using multiple and mixed methods to reflect the complex and social nature of research partnerships. We will use ongoing and future natural IKT experiments as multiple cases to study IKT in depth, and we will take advantage of the team

  1. Gestalteconomy: The economic bases of knowledge management

    International Nuclear Information System (INIS)

    Maisseu, A.

    2006-01-01

    Conventional economic analyses are based on dogmas that are frequently out of phase with reality. It is thus very difficult to introduce technology, technological innovation and technical progress correctly into all the theoretical constructions derived from the application of these principles. The same applies to the consideration of pollution and the depletion of natural resources. These difficult problems, which bedevil the definition of a sustainable development, find no satisfactory answer in these theoretical considerations. The consideration of Gestalteconomy helps to resolve these difficulties, in opening the door to the entrepreneurial practical management of knowledge. (author)

  2. VICKEY: Mining Conditional Keys on Knowledge Bases

    OpenAIRE

    Symeonidou , Danai; Galárraga , Luis; Pernelle , Nathalie; Saïs , Fatiha; Suchanek , Fabian

    2017-01-01

    International audience; A conditional key is a key constraint that is valid in only a part of the data. In this paper, we show how such keys can be mined automatically on large knowledge bases (KBs). For this, we combine techniques from key mining with techniques from rule mining. We show that our method can scale to KBs of millions of facts. We also show that the conditional keys we mine can improve the quality of entity linking by up to 47 percentage points.

  3. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    Directory of Open Access Journals (Sweden)

    G. Waeyenbergh

    2012-01-01

    Full Text Available Maintenance decision making becomes more and more a management concern. Some decades ago, maintenance was still often considered as an unavoidable side effect of production. The perception of maintenance has evolved considerably. One of the current issues is the maintenance concept, being the mix of maintenance interventions and the general framework for determining this mix. In this paper we describe a modular framework, called Knowledge Based Maintenance, for developing a customised maintenance concept. After describing the general framework and its decision support use, some case experiences are given. This experience covers some elements of the proposed framework.

  4. A knowledge system approach to the multinational company : conceptual grounding and implications for research

    OpenAIRE

    Foss, Nicolai Juul; Santos, José

    2009-01-01

    The role of knowledge, organizational learning, and innovation as levers of competitive advantage is now a commonly acknowledged insight in research in international management. However, while the agglomeration of insights of described as the “knowledge-based view” is a promising theoretical lens, insights are not organized into a unifying framework and there are significant holes in the understanding of how knowledge may be turned into a source of competitive advant...

  5. Knowledge representation to support reasoning based on multiple models

    Science.gov (United States)

    Gillam, April; Seidel, Jorge P.; Parker, Alice C.

    1990-01-01

    Model Based Reasoning is a powerful tool used to design and analyze systems, which are often composed of numerous interactive, interrelated subsystems. Models of the subsystems are written independently and may be used together while they are still under development. Thus the models are not static. They evolve as information becomes obsolete, as improved artifact descriptions are developed, and as system capabilities change. Researchers are using three methods to support knowledge/data base growth, to track the model evolution, and to handle knowledge from diverse domains. First, the representation methodology is based on having pools, or types, of knowledge from which each model is constructed. In addition information is explicit. This includes the interactions between components, the description of the artifact structure, and the constraints and limitations of the models. The third principle we have followed is the separation of the data and knowledge from the inferencing and equation solving mechanisms. This methodology is used in two distinct knowledge-based systems: one for the design of space systems and another for the synthesis of VLSI circuits. It has facilitated the growth and evolution of our models, made accountability of results explicit, and provided credibility for the user community. These capabilities have been implemented and are being used in actual design projects.

  6. Integrating Ecological and Social Knowledge: Learning from CHANS Research

    Directory of Open Access Journals (Sweden)

    Bruce Shindler

    2017-03-01

    Full Text Available Scientists are increasingly called upon to integrate across ecological and social disciplines to tackle complex coupled human and natural system (CHANS problems. Integration of these disciplines is challenging and many scientists do not have experience with large integrated research projects. However, much can be learned about the complicated process of integration from such efforts. We document some of these lessons from a National Science Foundation-funded CHANS project (Forests, People, Fire and present considerations for developing and engaging in coupled human and natural system projects. Certainly we are not the first to undertake this endeavor, and many of our findings complement those of other research teams. We focus here on the process of coming together, learning to work as an integrated science team, and describe the challenges and opportunities of engaging stakeholders (agency personnel and citizen communities of interests in our efforts. Throughout this project our intention was to foster dialogue among diverse interests and, thus, incorporate this knowledge into uncovering primary social and ecological drivers of change. A primary tool was an agent-based model, Envision, that used this information in landscape simulation, visualization models, and scenario development. Although integration can be an end in itself, the proof of value in the approach can be the degree to which it provides new insights or tools to CHANS, including closer interaction among multiple stakeholders, that could not have been reached without it.

  7. SPRINT RA 230: Methodology for knowledge based developments

    International Nuclear Information System (INIS)

    Wallsgrove, R.; Munro, F.

    1991-01-01

    SPRINT RA 230: A Methodology for Knowledge Based Developments, funded by the European Commission, was set up to investigate the use of KBS in the engineering industry. Its aim was to find out low KBS were currently used and what people's conceptions of them was, to disseminate current knowledge and to recommend further research into this area. A survey (by post and face to face interviews) was carried out under SPRINT RA 230 to investigate requirements for more intelligent software. In the survey we looked both at how people think about Knowledge Based Systems (KBS), what they find useful and what is not useful, and what current expertise problems or limitations of conventional software might suggest KBS solutions. (orig./DG)

  8. The Development of the IMIA Knowledge Base

    Directory of Open Access Journals (Sweden)

    Graham Wright

    2011-03-01

    Full Text Available Background: The discipline of health or medical informatics is relatively new in that the literature has existed for only 40 years. The British Computer Society (BCS health group was of the opinion that work should be undertaken to explore the scope of medical or health informatics. Once the mapping work was completed the International Medical Informatics Association (IMIA expressed the wish to develop it further to define the knowledge base of the discipline and produce a comprehensive internationally applicable framework. This article will also highlight the move from the expert opinion of a small group to the analysis of publications to generalise and refine the initial findings, and illustrate the importance of triangulation.Objectives: The aim of the project was to explore the theoretical constructs underpinning the discipline of health informatics and produce a cognitive map of the existing understanding of the discipline and develop the knowledge base of health informatics for the IMIA and the BCS.Method: The five-phase project, described in this article, undertaken to define the discipline of health informatics used four forms of triangulation.Results: The output from the project is a framework giving the 14 major headings (Subjects and 245 elements, which together describe the current perception of the discipline of health informatics.Conclusion: This article describes how each phase of the project was strengthened, through using triangulation within and between the different phases. This was done to ensure that the investigators could be confident in the confirmation and completeness of data, and assured of the validity and reliability of the final output of the ‘IMIA Knowledge Base’ that was endorsed by the IMIA Board in November 2009.

  9. A Description Logic Based Knowledge Representation Model for Concept Understanding

    DEFF Research Database (Denmark)

    Badie, Farshad

    2017-01-01

    This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation...... systems. In other words, it attempts to describe a theoretical model for concept understanding and to reflect the phenomenon of ‘concept understanding’ in terminological knowledge representation systems. Finally, it will design an ontology that schemes the structure of concept understanding based...

  10. Adaptive Knowledge Management of Project-Based Learning

    Science.gov (United States)

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

    The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…

  11. A display to support knowledge based behavior

    International Nuclear Information System (INIS)

    Lindsay, R.W.

    1990-01-01

    A computerized display has been created for the Experimental Breeder Reactor II (EBR-II) that incorporates information from plant sensors in a thermodynamic model display. The display is designed to provide an operator with an overall view of the plant process as a heat engine. The thermodynamics of the plant are depicted through the use of ionic figures, animated by plant signals, that are related to the major plant components and systems such as the reactor, intermediate heat exchanger, secondary system, evaporators, superheaters, steam system, steam drum, and turbine-generator. This display supports knowledge based reasoning for the operator as well as providing the traditional rule and skill based behavior, and includes side benefits such a inherent signal validation

  12. A display to support knowledge based behavior

    International Nuclear Information System (INIS)

    Lindsay, R.W.

    1990-01-01

    This paper reports on a computerized display that has been created for the Experimental Breeder Reactor II that incorporates information from plant sensors in a thermodynamic model display. The display is designed to provide an operator with an overall view of the plant process as a heat engine. The thermodynamics of the plant are depicted through the use of iconic figures, animated by plant signals, that are related to the major plant components and systems such as the reactor, intermediate heat exchanger, secondary system, evaporators, superheaters, steam system, steam drum, and turbine-generator. This display supports knowledge based reasoning for the operator as well as providing data for the traditional rule and skill based behavior, and includes side benefits such as inherent signal validation

  13. A roadmap for knowledge exchange and mobilization research in conservation and natural resource management.

    Science.gov (United States)

    Nguyen, Vivian M; Young, Nathan; Cooke, Steven J

    2017-08-01

    Scholars across all disciplines have long been interested in how knowledge moves within and beyond their community of peers. Rapid environmental changes and calls for sustainable management practices mean the best knowledge possible is needed to inform decisions, policies, and practices to protect biodiversity and sustainably manage vulnerable natural resources. Although the conservation literature on knowledge exchange (KE) and knowledge mobilization (KM) has grown in recent years, much of it is based on context-specific case studies. This presents a challenge for learning cumulative lessons from KE and KM research and thus effectively using knowledge in conservation and natural resources management. Although continued research on the gap between knowledge and action is valuable, overarching conceptual frameworks are now needed to enable summaries and comparisons across diverse KE-KM research. We propose a knowledge-action framework that provides a conceptual roadmap for future research and practice in KE/KM with the aim of synthesizing lessons learned from contextual case studies and guiding the development and testing of hypotheses in this domain. Our knowledge-action framework has 3 elements that occur at multiple levels and scales: knowledge production (e.g., academia and government), knowledge mediation (e.g., knowledge networks, actors, relational dimension, and contextual dimension), and knowledge-based action (e.g., instrumental, symbolic, and conceptual). The framework integrates concepts from the sociology of science in particular, and serves as a guide to further comprehensive understanding of knowledge exchange and mobilization in conservation and sustainable natural resource management. © 2016 Society for Conservation Biology.

  14. A framework to explore the knowledge structure of multidisciplinary research fields.

    Science.gov (United States)

    Uddin, Shahadat; Khan, Arif; Baur, Louise A

    2015-01-01

    Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument. But with the vast amount of available online information it is often hard to understand the knowledge structure for data. In this paper, we present a novel approach for retrieving online bibliographic data and propose a framework for exploring knowledge structure. We also present several longitudinal analyses to interpret and visualize the last 20 years of published obesity research data.

  15. Knowledge translation research in population health: establishing a collaborative research agenda

    Directory of Open Access Journals (Sweden)

    Laurendeau Marie-Claire

    2009-12-01

    Full Text Available Abstract Background Despite the increasing mobilization of researchers and funding organizations around knowledge translation (KT in Canada and elsewhere, many questions have been only partially answered, particularly in the field of population health. This article presents the results of a systematic process to draw out possible avenues of collaboration for researchers, practitioners and decision-makers who work in the area of KT. The main objective was to establish a research agenda on knowledge translation in population health. Methods Using the Concept Mapping approach, the research team wanted to identify priority themes for the development of research on KT in population health. Mapping is based on multivariate statistical analyses (multidimensional scaling and hierarchical cluster analysis in which statements produced during a brainstorming session are grouped in weighted clusters. The final maps are a visual representation of the priority themes of research on KT. Especially designed for facilitating consensus in the understanding and organization of various concepts, the Concept Mapping method proved suitable for achieving this objective. Results The maps were produced by 19 participants from university settings, and from institutions within the health and social services network. Three main perspectives emerge from this operation: (1 The evaluation of the effectiveness of KT efforts is one of the main research priorities; (2 The importance of taking into consideration user contexts in any KT effort; (3 The challenges related to sharing power for decision-making and action-taking among various stakeholder groups. These perspectives open up avenues of collaboration for stakeholders who are involved in research on KT. Besides these three main perspectives, the concept maps reveal three other trends which should be emphasized. Conclusion The Concept Mapping process reported in this article aimed to provoke collective reflection on the

  16. Base Research Program

    Energy Technology Data Exchange (ETDEWEB)

    Everett Sondreal; John Hendrikson

    2009-03-31

    In June 2009, the Energy & Environmental Research Center (EERC) completed 11 years of research under the U.S. Department of Energy (DOE) Base Cooperative Agreement No. DE-FC26-98FT40320 funded through the Office of Fossil Energy (OFE) and administered at the National Energy Technology Laboratory (NETL). A wide range of diverse research activities were performed under annual program plans approved by NETL in seven major task areas: (1) resource characterization and waste management, (2) air quality assessment and control, (3) advanced power systems, (4) advanced fuel forms, (5) value-added coproducts, (6) advanced materials, and (7) strategic studies. This report summarizes results of the 67 research subtasks and an additional 50 strategic studies. Selected highlights in the executive summary illustrate the contribution of the research to the energy industry in areas not adequately addressed by the private sector alone. During the period of performance of the agreement, concerns have mounted over the impact of carbon emissions on climate change, and new programs have been initiated by DOE to ensure that fossil fuel resources along with renewable resources can continue to supply the nation's transportation fuel and electric power. The agreement has addressed DOE goals for reductions in CO{sub 2} emissions through efficiency, capture, and sequestration while expanding the supply and use of domestic energy resources for energy security. It has further contributed to goals for near-zero emissions from highly efficient coal-fired power plants; environmental control capabilities for SO{sub 2}, NO{sub x}, fine respirable particulate (PM{sub 2.5}), and mercury; alternative transportation fuels including liquid synfuels and hydrogen; and synergistic integration of fossil and renewable resources (e.g., wind-, biomass-, and coal-based electrical generation).

  17. Knowledge management: An abstraction of knowledge base and database management systems

    Science.gov (United States)

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  18. A Network Based Methodology to Reveal Patterns in Knowledge Transfer

    Directory of Open Access Journals (Sweden)

    Orlando López-Cruz

    2015-12-01

    Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.

  19. Knowledge of the Nigerian Code of Health Research Ethics Among Biomedical Researchers in Southern Nigeria.

    Science.gov (United States)

    Ogunrin, Olubunmi A; Daniel, Folasade; Ansa, Victor

    2016-12-01

    Responsibility for protection of research participants from harm and exploitation rests on Research Ethics Committees and principal investigators. The Nigerian National Code of Health Research Ethics defines responsibilities of stakeholders in research so its knowledge among researchers will likely aid ethical conduct of research. The levels of awareness and knowledge of the Code among biomedical researchers in southern Nigerian research institutions was assessed. Four institutions were selected using a stratified random sampling technique. Research participants were selected by purposive sampling and completed a pre-tested structured questionnaire. A total of 102 biomedical researchers completed the questionnaires. Thirty percent of the participants were aware of the National Code though 64% had attended at least one training seminar in research ethics. Twenty-five percent had a fairly acceptable knowledge (scores 50%-74%) and 10% had excellent knowledge of the code (score ≥75%). Ninety-five percent expressed intentions to learn more about the National Code and agreed that it is highly relevant to the ethical conduct of research. Awareness and knowledge of the Code were found to be very limited among biomedical researchers in southern Nigeria. There is need to improve awareness and knowledge through ethics seminars and training. Use of existing Nigeria-specific online training resources is also encouraged.

  20. Health Care Leadership: Managing Knowledge Bases as Stakeholders.

    Science.gov (United States)

    Rotarius, Timothy

    Communities are composed of many organizations. These organizations naturally form clusters based on common patterns of knowledge, skills, and abilities of the individual organizations. Each of these spontaneous clusters represents a distinct knowledge base. The health care knowledge base is shown to be the natural leader of any community. Using the Central Florida region's 5 knowledge bases as an example, each knowledge base is categorized as a distinct type of stakeholder, and then a specific stakeholder management strategy is discussed to facilitate managing both the cooperative potential and the threatening potential of each "knowledge base" stakeholder.

  1. Constructing a research network: accounting knowledge in production

    OpenAIRE

    Joannides , Vassili; Berland , Nicolas

    2013-01-01

    Avec Nicolas Berland; International audience; Purpose - This paper contributes to the sociology-of-science type of accounting literature, addressing how accounting knowledge is established, advanced and extended. Design/methodology/approach - The research question is answered through the example of research into linkages between accounting and religion. Adopting an Actor-Network Theory (ANT) approach, we follow the actors involved in the construction of accounting as an academic discipline th...

  2. Knowledge basis in safety culture for researchers and practitioners

    International Nuclear Information System (INIS)

    Vieira Neto, Antonio S.; Barroso, Antonio C.O.; Goncalves, Adriana

    2009-01-01

    This paper presents the main characteristics of the knowledge basis in safety culture which is being developed at the IPEN-CNEN/SP, one of the Brazilian nuclear institutes of research. The main objective of this basis is to organize the information about safety culture found in the literature and to make it available to researchers and practitioners. The first stage of the development of this basis is already finished being the subject of this work. (author)

  3. Spatial support of knowledge production in higher education : Research paper

    NARCIS (Netherlands)

    van Sprang, H; Groen, BH; van der Voordt, Theo

    2013-01-01

    This paper explores the impact of the physical and social dimensions of the work environment on satisfaction and perceived productivity of knowledge workers in Dutch universities of applied sciences. The approach took the form of a literature review, multiple case study of six research centres using

  4. Teen Pregnancy and Education: Politics of Knowledge, Research, and Practice

    Science.gov (United States)

    Pillow, Wanda

    2006-01-01

    This article explores the politics surrounding the education of pregnant/mothering students. Utilizing Title IX, which guarantees the rights of pregnant/mothering students to an education equal to her peers, as an analytical lens, the author specifically identifies how absences in knowledge, research, and practice about the education of…

  5. How knowledge and technology are created in a research institute

    Energy Technology Data Exchange (ETDEWEB)

    Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira, E-mail: monteiro@ipen.b, E-mail: barroso@ipen.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2011-07-01

    Collaboration within and across R and D teams is a naturally occurring socio-technical process and it seems to be a very good thrust for technology development and knowledge creation, transfer and preservation in R and D organizations. The study has focused on evidence gathered from: (a) the publication data base of IPEN from 2001 to 2008 was used to generate four time evolving networks of co-authorship, considering time slices of two years; (b) authors 'demographic' data were included as node attributes in the networks; and (c) questionnaire surveys and interviews to understand the reasons which influence a person to search and choose partner to co-work in a research. Social network analysis was used extensively to understand the network configurations, their time evolution, the key actors, groups and their role in this network. A few indexes and algorithms were used to get insight into the networks structures. A variety of centrality indicators were used to better characterize key actors and better understand their position and role in the network. Also many grouping techniques were used to find the most prominent/active groups. For the most central authors or groups, demographic data was cross analyzed with their network indexes to get check for a few hypothesis of preferential attachment. Finally, based on the proper theoretical background and the information gathered with questionnaires and interviews a model was devised to explain the propensity to collaborate. This paper reports the general ideas of the whole research and presents the most important results of the network analysis. (author)

  6. How knowledge and technology are created in a research institute

    International Nuclear Information System (INIS)

    Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira

    2011-01-01

    Collaboration within and across R and D teams is a naturally occurring socio-technical process and it seems to be a very good thrust for technology development and knowledge creation, transfer and preservation in R and D organizations. The study has focused on evidence gathered from: (a) the publication data base of IPEN from 2001 to 2008 was used to generate four time evolving networks of co-authorship, considering time slices of two years; (b) authors 'demographic' data were included as node attributes in the networks; and (c) questionnaire surveys and interviews to understand the reasons which influence a person to search and choose partner to co-work in a research. Social network analysis was used extensively to understand the network configurations, their time evolution, the key actors, groups and their role in this network. A few indexes and algorithms were used to get insight into the networks structures. A variety of centrality indicators were used to better characterize key actors and better understand their position and role in the network. Also many grouping techniques were used to find the most prominent/active groups. For the most central authors or groups, demographic data was cross analyzed with their network indexes to get check for a few hypothesis of preferential attachment. Finally, based on the proper theoretical background and the information gathered with questionnaires and interviews a model was devised to explain the propensity to collaborate. This paper reports the general ideas of the whole research and presents the most important results of the network analysis. (author)

  7. The Development of the IMIA Knowledge Base

    Directory of Open Access Journals (Sweden)

    Graham Wright

    2011-10-01

    Objectives: The aim of the project was to explore the theoretical constructs underpinning the discipline of health informatics and produce a cognitive map of the existing understanding of the discipline and develop the knowledge base of health informatics for the IMIA and the BCS. Method: The five-phase project, described in this article, undertaken to define the discipline of health informatics used four forms of triangulation. Results: The output from the project is a framework giving the 14 major headings (Subjects and 245 elements, which together describe the current perception of the discipline of health informatics. Conclusion: This article describes how each phase of the project was strengthened, through using triangulation within and between the different phases. This was done to ensure that the investigators could be confident in the confirmation and completeness of data, and assured of the validity and reliability of the final output of the ‘IMIA Knowledge Base’ that was endorsed by the IMIA Board in November 2009.

  8. A Strategic Knowledge Map for the Research and Development Department in a Manufacturing Company

    Directory of Open Access Journals (Sweden)

    Śliwa Małgorzata

    2016-01-01

    Full Text Available Knowledge is a corporate resource, being grounds for initiating activities, which is important in a dynamic economy. The difficulties related to obtaining tacit knowledge, related primarily to experience and observation of the knowledge employee (Mendryk, 2011, encourage the companies to use tools supporting knowledge management and location. This article attempts at designing a dedicated, strategic knowledge map for a research and development department in a manufacturing company. Based on the reference works, the detailed characteristics of specific sources of knowledge in a manufacturing company and tools supporting the process of converting the tacit knowledge into explicit one, for example, the knowledge maps, were devised. Then, a strategic knowledge map model was designed for the research and development department (hereinafter abbreviated as SKM – R&D in the manufacturing company, comprising the following components: (1 fields of knowledge, (2 internal and external processes in the R&D department, and (3 sources of knowledge. Then, a practical implementation of the SKM – R&D model was presented.

  9. NASDA knowledge-based network planning system

    Science.gov (United States)

    Yamaya, K.; Fujiwara, M.; Kosugi, S.; Yambe, M.; Ohmori, M.

    1993-01-01

    One of the SODS (space operation and data system) sub-systems, NP (network planning) was the first expert system used by NASDA (national space development agency of Japan) for tracking and control of satellite. The major responsibilities of the NP system are: first, the allocation of network and satellite control resources and, second, the generation of the network operation plan data (NOP) used in automated control of the stations and control center facilities. Up to now, the first task of network resource scheduling was done by network operators. NP system automatically generates schedules using its knowledge base, which contains information on satellite orbits, station availability, which computer is dedicated to which satellite, and how many stations must be available for a particular satellite pass or a certain time period. The NP system is introduced.

  10. A structured approach to introduce knowledge management practice in a national nuclear research institution in Malaysia

    International Nuclear Information System (INIS)

    Daud, A.H.

    2004-01-01

    In 2002, the Government of Malaysia has launched the Knowledge Management Master Plan with the aim to transform Malaysian from a production-based economy to a knowledge-based economy. In June 2003, the 2nd National Science and Technology policy was launched. The policy puts in place programmes, institutions and partnerships to enhance Malaysian economic position. Several initiatives developed emphasize on the important roles of national nuclear research institutions in the knowledge based economy. The Malaysian Institute for Nuclear Technology Research (MINT) as a national nuclear research institution is thus expected to make significant contributions to the knowledge economy. To a certain extent MINT has been successful in knowledge acquisition and exploitation from more advanced countries as well as in knowledge generation and in the knowledge application and diffusion to the socio-economic sectors. This paper describes a structured approach to introduce the knowledge management practices or initiatives in MINT. It also describes some of the challenges foreseen in adopting the practices. (author)

  11. Knowledge-based processing for aircraft flight control

    Science.gov (United States)

    Painter, John H.; Glass, Emily; Economides, Gregory; Russell, Paul

    1994-01-01

    This Contractor Report documents research in Intelligent Control using knowledge-based processing in a manner dual to methods found in the classic stochastic decision, estimation, and control discipline. Such knowledge-based control has also been called Declarative, and Hybid. Software architectures were sought, employing the parallelism inherent in modern object-oriented modeling and programming. The viewpoint adopted was that Intelligent Control employs a class of domain-specific software architectures having features common over a broad variety of implementations, such as management of aircraft flight, power distribution, etc. As much attention was paid to software engineering issues as to artificial intelligence and control issues. This research considered that particular processing methods from the stochastic and knowledge-based worlds are duals, that is, similar in a broad context. They provide architectural design concepts which serve as bridges between the disparate disciplines of decision, estimation, control, and artificial intelligence. This research was applied to the control of a subsonic transport aircraft in the airport terminal area.

  12. Knowledge Activism: Bridging the Research/Policy Divide

    Science.gov (United States)

    Gillies, Donald

    2014-01-01

    How research can better inform policy and how policy can have a better research base are longstanding issues both in educational research and across public policy generally. Drawing on the work of Hannah Arendt, this article argues that progress in increasing the impact of research can be made through a clearer understanding of the nature of…

  13. Critical gaps in the medical knowledge base of eating disorders.

    Science.gov (United States)

    Gibson, Dennis; Drabkin, Anne; Krantz, Mori J; Mascolo, Margherita; Rosen, Elissa; Sachs, Katherine; Welles, Christine; Mehler, Philip S

    2018-04-21

    Eating disorders are unique in that they inherently have much medical comorbidity both as a part of restricting-type eating disorders and those characterized by purging behaviors. Over the last three decades, remarkable progress has been made in the understanding and treatment of the medical complications of eating disorders. Yet, unfortunately, there is much research that is sorely needed to bridge the gap between current medical knowledge and more effective and evidence-based medical treatment knowledge. These gaps exist in many different clinical areas including cardiology, electrolytes, gastrointestinal and bone disease. In this paper, we discuss some of the knowledge gap areas, which if bridged would help develop more effective medical intervention for this population of patients.

  14. Sociopathic Knowledge Bases: Correct Knowledge Can Be Harmful Even Given Unlimited Computation

    Science.gov (United States)

    1989-08-01

    1757 I Sociopathic Knowledge Bases: Correct Knowledge Can Be Harmful Even Given Unlimited Computation DTIC5 by flELECTE 5David C. Wilkins and Yong...NUMBERSWOKNI PROGRAM RAT TSWOKUI 61153N RR04206 OC 443g-008 11 TITLE (Include Security Classification) Sociopathic Knowledge Bases: Correct Knowledge Can be...probabilistic rules are shown to be sociopathic and so this problem is very widespread. Sociopathicity has important consequences for rule induction

  15. Knowledge-based development in Singapore and Malaysia

    OpenAIRE

    Menkhoff, Thomas; Gerke, Solvay; Evers, Hans-Dieter; Chay, Yue Wah

    2009-01-01

    This paper addresses the question how knowledge is used to benefit the economic development of Singapore and Malaysia. Both countries have followed strict science policies to establish knowledge governance regimes for a knowledge-based economy. On the basis of empirical studies in both countries we show, how ethnic and religious diversity impact on the ability to develop an epistemic culture of knowledge sharing and ultimately an innovative knowledge-based economy.

  16. Advanced software development workstation. Knowledge base design: Design of knowledge base for flight planning application

    Science.gov (United States)

    Izygon, Michel E.

    1992-01-01

    The development process of the knowledge base for the generation of Test Libraries for Mission Operations Computer (MOC) Command Support focused on a series of information gathering interviews. These knowledge capture sessions are supporting the development of a prototype for evaluating the capabilities of INTUIT on such an application. the prototype includes functions related to POCC (Payload Operation Control Center) processing. It prompts the end-users for input through a series of panels and then generates the Meds associated with the initialization and the update of hazardous command tables for a POCC Processing TLIB.

  17. Automated knowledge base development from CAD/CAE databases

    Science.gov (United States)

    Wright, R. Glenn; Blanchard, Mary

    1988-01-01

    Knowledge base development requires a substantial investment in time, money, and resources in order to capture the knowledge and information necessary for anything other than trivial applications. This paper addresses a means to integrate the design and knowledge base development process through automated knowledge base development from CAD/CAE databases and files. Benefits of this approach include the development of a more efficient means of knowledge engineering, resulting in the timely creation of large knowledge based systems that are inherently free of error.

  18. Mode 2 Knowledge Production in the Context of Medical Research: A Call for Further Clarifications.

    Science.gov (United States)

    Soofi, Hojjat

    2018-03-01

    The traditional researcher-driven environment of medical knowledge production is losing its dominance with the expansion of, for instance, community-based participatory or participant-led medical research. Over the past few decades, sociologists of science have debated a shift in the production of knowledge from traditional discipline-based (Mode 1) to more socially embedded and transdisciplinary frameworks (Mode 2). Recently, scholars have tried to show the relevance of Mode 2 knowledge production to medical research. However, the existing literature lacks detailed clarifications on how a model of Mode 2 knowledge production can be constructed in the context of medical research. This paper calls for such further clarifications. As a heuristic means, the advocacy for a controversial experimental stem cell therapy (Stamina) is examined. It is discussed that the example cannot be considered a step towards Mode 2 medical knowledge production. Nonetheless, the example brings to the fore some complexities of medical knowledge production that need to be further examined including: (1) the shifting landscape of defining and addressing vulnerability of research participants, (2) the emerging overlap between research and practice, and (3) public health implications of revising the standard notions of quality control and accountability.

  19. ISPE: A knowledge-based system for fluidization studies

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  20. Innovation and Integrity in Intervention Research: Conceptual Issues, Methodology, and Knowledge Translation.

    Science.gov (United States)

    Malti, Tina; Beelmann, Andreas; Noam, Gil G; Sommer, Simon

    2018-04-01

    In this article, we introduce the special issue entitled Innovation and Integrity in Intervention Science. Its focus is on essential problems and prospects for intervention research examining two related topics, i.e., methodological issues and research integrity, and challenges in the transfer of research knowledge into practice and policy. The main aims are to identify how to advance methodology in order to improve research quality, examine scientific integrity in the field of intervention science, and discuss future steps to enhance the transfer of knowledge about evidence-based intervention principles into sustained practice, routine activities, and policy decisions. Themes of the special issue are twofold. The first includes questions about research methodology in intervention science, both in terms of research design and methods, as well as data analyses and the reporting of findings. Second, the issue tackles questions surrounding the types of knowledge translation frameworks that might be beneficial to mobilize the transfer of research-based knowledge into practice and public policies. The issue argues that innovations in methodology and thoughtful approaches to knowledge translation can enable transparency, quality, and sustainability of intervention research.

  1. Leveraging the Relationship: Knowledge Processes in School-University Research Networks of Master's Programmes

    Science.gov (United States)

    Cornelissen, Frank; Daly, Alan J.; Liou, Yi-Hwa; Van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo C. M.

    2015-01-01

    This study investigated the way developing, sharing and using of research-based knowledge occurred in the school-university research network of a master's programme for in-service teachers in the Netherlands. Over a 10-month period, a combination of quantitative and qualitative network data was collected. Data were analysed at three network…

  2. Experience, Knowledge and Evidence: A Comparison of Research Relations in Health and Anthropology

    Science.gov (United States)

    McKevitt, Christopher

    2013-01-01

    Patient and public involvement in health research has been promoted by the United Kingdom's Department of Health and its research funding agencies for at least a decade. The policy rhetoric through which it is promoted is based on the idea that patients' experiential knowledge can be harnessed to improve the quality and relevance of health…

  3. KNOWLEDGE-BASED OBJECT DETECTION IN LASER SCANNING POINT CLOUDS

    Directory of Open Access Journals (Sweden)

    F. Boochs

    2012-07-01

    Full Text Available Object identification and object processing in 3D point clouds have always posed challenges in terms of effectiveness and efficiency. In practice, this process is highly dependent on human interpretation of the scene represented by the point cloud data, as well as the set of modeling tools available for use. Such modeling algorithms are data-driven and concentrate on specific features of the objects, being accessible to numerical models. We present an approach that brings the human expert knowledge about the scene, the objects inside, and their representation by the data and the behavior of algorithms to the machine. This “understanding” enables the machine to assist human interpretation of the scene inside the point cloud. Furthermore, it allows the machine to understand possibilities and limitations of algorithms and to take this into account within the processing chain. This not only assists the researchers in defining optimal processing steps, but also provides suggestions when certain changes or new details emerge from the point cloud. Our approach benefits from the advancement in knowledge technologies within the Semantic Web framework. This advancement has provided a strong base for applications based on knowledge management. In the article we will present and describe the knowledge technologies used for our approach such as Web Ontology Language (OWL, used for formulating the knowledge base and the Semantic Web Rule Language (SWRL with 3D processing and topologic built-ins, aiming to combine geometrical analysis of 3D point clouds, and specialists’ knowledge of the scene and algorithmic processing.

  4. From conventional software based systems to knowledge based systems

    International Nuclear Information System (INIS)

    Bologna, S.

    1995-01-01

    Even if todays nuclear power plants have a very good safety record, there is a continuous search for still improving safety. One direction of this effort address operational safety, trying to improve the handling of disturbances and accidents partly by further automation, partly by creating a better control room environment, providing the operator with intelligent support systems to help in the decision making process. Introduction of intelligent computerised operator support systems has proved to be an efficient way of improving the operators performance. A number of systems have been developed worldwide, assisting in tasks like process fault detection and diagnosis, selection and implementation of proper remedial actions. Unfortunately, the use of Knowledge Based Systems (KBSs), introduces a new dimension to the problem of the licensing process. KBSs, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. In this paper the author will try to point out similarities and differences between conventional software based systems, and knowledge based systems, introducing also the concept of model based reasoning. (orig.) (25 refs., 2 figs.)

  5. OWL2 benchmarking for the evaluation of knowledge based systems.

    Directory of Open Access Journals (Sweden)

    Sher Afgun Khan

    Full Text Available OWL2 semantics are becoming increasingly popular for the real domain applications like Gene engineering and health MIS. The present work identifies the research gap that negligible attention has been paid to the performance evaluation of Knowledge Base Systems (KBS using OWL2 semantics. To fulfil this identified research gap, an OWL2 benchmark for the evaluation of KBS is proposed. The proposed benchmark addresses the foundational blocks of an ontology benchmark i.e. data schema, workload and performance metrics. The proposed benchmark is tested on memory based, file based, relational database and graph based KBS for performance and scalability measures. The results show that the proposed benchmark is able to evaluate the behaviour of different state of the art KBS on OWL2 semantics. On the basis of the results, the end users (i.e. domain expert would be able to select a suitable KBS appropriate for his domain.

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 19: Computer and information technology and aerospace knowledge diffusion

    Science.gov (United States)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.; Bishop, Ann P.

    1992-01-01

    To remain a world leader in aerospace, the US must improve and maintain the professional competency of its engineers and scientists, increase the research and development (R&D) knowledge base, improve productivity, and maximize the integration of recent technological developments into the R&D process. How well these objectives are met, and at what cost, depends on a variety of factors, but largely on the ability of US aerospace engineers and scientists to acquire and process the results of federally funded R&D. The Federal Government's commitment to high speed computing and networking systems presupposes that computer and information technology will play a major role in the aerospace knowledge diffusion process. However, we know little about information technology needs, uses, and problems within the aerospace knowledge diffusion process. The use of computer and information technology by US aerospace engineers and scientists in academia, government, and industry is reported.

  7. Socioscientific Issues-Based Instruction: An Investigation of Agriscience Students' Content Knowledge Based on Student Variables

    Science.gov (United States)

    Shoulders, Catherine W.; Myers, Brian E.

    2013-01-01

    Numerous researchers in science education have reported student improvement in areas of scientific literacy resulting from socioscientific issues (SSI)-based instruction. The purpose of this study was to describe student agriscience content knowledge following a six-week SSI-based instructional unit focusing on the introduction of cultured meat…

  8. Examining Collaborative Knowledge Construction in Microblogging-Based Learning Environments

    Directory of Open Access Journals (Sweden)

    Tian Luo

    2017-09-01

    Full Text Available Aim/Purpose: The purpose of the study is to provide foundational research to exemplify how knowledge construction takes place in microblogging-based learning environments, to understand learner interaction representing the knowledge construction process, and to analyze learner perception, thereby suggesting a model of delivery for microblogging. Background: Up-and-coming digital native learners crave the real-time, multimedia, global-interconnectedness of microblogging, yet there has been limited research that specifically proposes a working model of Twitter’s classroom integration for designers and practitioners without bundling it in with other social media tools. Methodology: This semester-long study utilized a case-study research design via a multi-dimensional approach in a hybrid classroom with both face-to-face and online environments. Tweets were collected from four types of activities and coded based on content within their contextual setting. Twenty-four college students participated in the study. Contribution: The findings shed light on the process of knowledge construction in mi-croblogging and reveal key types of knowledge manifested during learning activities. The study also proposes a model for delivering microblogging to formal learning environments applicable to various contexts for designers and practitioners. Findings: There are distinct learner interaction patterns representing the process of knowledge construction in microblogging activities ranging from low-order to high-order cognitive tasks. Students generally were in favor of the Twitter integration in this study. Recommendations for Practitioners: The three central activities (exploring hashtags, discussion topics, and participating in live chats along with the backchannel activity formulate a working model that represents the sequential process of Twitter integration into classrooms. Impact on Society: Microblogging allows learners omnichannel access while hashtags

  9. Data Mining and Knowledge Discovery via Logic-Based Methods

    CERN Document Server

    Triantaphyllou, Evangelos

    2010-01-01

    There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily int

  10. SOCIAL KNOWLEDGE MANAGEMENT, RESEARCH AND INNOVATION NETWORKS FOR INCLUSION

    Directory of Open Access Journals (Sweden)

    Sandra Ace vedo Zapata

    2017-09-01

    Full Text Available The objective is to describe the social management of knowledge through research and innovation networks to promote social inclusion. The reflection of the exploratory stage is presented within the doctoral thesis analyzing the challenges of the universities in the achievement of social inclusion with networks of research and innovation. A descriptive work was done, with documentary tracking, systematization and analysis. The findings show that it is necessary to articulate efforts in interdisciplinary and transdisciplinary networks with different actors: state, company, education, scientists, technologists and vulnerable, excluded populations, to build policies and strategies for social inclusion.

  11. Enhancing SAT Based Planning with Landmark Knowledge

    NARCIS (Netherlands)

    Elffers, J.; Konijnenberg, D.; Walraven, E.M.P.; Spaan, M.T.J.

    2013-01-01

    Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also

  12. School-Based Research

    Science.gov (United States)

    Glennon, Catherine; Hinton, Christina; Callahan, Thomas; Fischer, Kurt W.

    2013-01-01

    In the field of medicine, research and practice are joined in teaching hospitals. In these institutions, researchers work alongside doctors to incorporate recent advances in medical research into practice and track results. There is a growing movement in the field of education to create analogous institutions in education called research schools.…

  13. MO-D-BRC-03: Knowledge-Based Planning

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Q. [Duke University Medical Center (United States)

    2016-06-15

    Treatment planning is a central part of radiation therapy, including delineation in tumor volumes and critical organs, setting treatment goals of prescription doses to the tumor targets and tolerance doses to the critical organs, and finally generation of treatment plans to meet the treatment goals. National groups like RTOG have led the effort to standardize treatment goals of the prescription doses to the tumor targets and tolerance doses to the critical organs based on accumulated knowledge from decades of abundant clinical trial experience. The challenge for each clinical department is how to achieve or surpass these set goals within the time constraints of clinical practice. Using fifteen testing cases from different treatment sites such as head and neck, prostate with and without pelvic lymph nodes, SBRT spine, we will present clinically utility of advanced planning tools, including knowledge based, automatic based, and multiple criteria based tools that are clinically implemented. The objectives of this session are: Understand differences among these three advanced planning tools Provide clinical assessments on the utility of the advanced planning tools Discuss clinical challenges of treatment planning with large variations in tumor volumes and their relationships with adjacent critical organs. Ping Xia received research grant from Philips. Jackie Wu received research grant from Varian; P. Xia, Research support by Philips and Varian; Q. Wu, NIH, Varian Medical.

  14. MO-D-BRC-03: Knowledge-Based Planning

    International Nuclear Information System (INIS)

    Wu, Q.

    2016-01-01

    Treatment planning is a central part of radiation therapy, including delineation in tumor volumes and critical organs, setting treatment goals of prescription doses to the tumor targets and tolerance doses to the critical organs, and finally generation of treatment plans to meet the treatment goals. National groups like RTOG have led the effort to standardize treatment goals of the prescription doses to the tumor targets and tolerance doses to the critical organs based on accumulated knowledge from decades of abundant clinical trial experience. The challenge for each clinical department is how to achieve or surpass these set goals within the time constraints of clinical practice. Using fifteen testing cases from different treatment sites such as head and neck, prostate with and without pelvic lymph nodes, SBRT spine, we will present clinically utility of advanced planning tools, including knowledge based, automatic based, and multiple criteria based tools that are clinically implemented. The objectives of this session are: Understand differences among these three advanced planning tools Provide clinical assessments on the utility of the advanced planning tools Discuss clinical challenges of treatment planning with large variations in tumor volumes and their relationships with adjacent critical organs. Ping Xia received research grant from Philips. Jackie Wu received research grant from Varian; P. Xia, Research support by Philips and Varian; Q. Wu, NIH, Varian Medical

  15. Knowledge transfer within EU-funded marine science research - a viewpoint

    Science.gov (United States)

    Bayliss-Brown, Georgia; Cheallachaín, Cliona Ní

    2016-04-01

    transfer and dissemination. This Dublin-based SME has an ever-growing portfolio of FP7 and Horizon 2020 projects where they hold knowledge management responsibilities. In this session, we will present AquaTT's experiences in knowledge management for several European Union-funded marine research projects; including MarineTT (http://marinett.eu/) that was recognised as an exemplar project in the ex post evaluation of FP7 to the European Commission. These insights will be supplemented with an overview of the AquaTT-developed step-by-step knowledge transfer methodology, as used by the COLUMBUS project - the EU's flagship Blue Growth and Knowledge Transfer initiative (http://www.columbusproject.eu/). This session will provide a platform to launch AquaTT's European knowledge transfer network, established to support the research community in fostering a culture that recognises and rewards knowledge transfer between scientists and end-users (industry, policy, and wider society), thereby ensuring that research achieves its maximum potential impact. References Bellwood, P. (2004) The First Farmers: Origins of Agricultural Societies. Malden, MA. European Commission (2008) recommendation on the management of intellectual property in knowledge transfer activities and code of practice for universities and other public research organisations http://ec.europa.eu/invest-in-research/pdf/ip_recommendation_en.pdf Lipphardt, V. and D. Ludwig (2011) Knowledge transfer and science transfer. http://ieg-ego.eu/en/threads/theories-and-methods/knowledge-transfer/veronika-lipphardt-david-ludwig-knowledge-transfer-and-science-transfer

  16. The Relationship between Agriculture Knowledge Bases for Teaching and Sources of Knowledge

    Science.gov (United States)

    Rice, Amber H.; Kitchel, Tracy

    2015-01-01

    The purpose of this study was to describe the agriculture knowledge bases for teaching of agriculture teachers and to see if a relationship existed between years of teaching experience, sources of knowledge, and development of pedagogical content knowledge (PCK), using quantitative methods. A model of PCK from mathematics was utilized as a…

  17. Cognitive diagnostic assessment based on knowledge structure

    Directory of Open Access Journals (Sweden)

    Huang Sue-Fen

    2018-01-01

    Full Text Available The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. In order to insight the misconception of learning basic mathematics and progress teaching. This method integrates Fuzzy Logic Model of Perception (FLMP and Interpretive Structural Modelling (ISM. The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. In this paper, some well-known knowledge structure assessment methods will be discussed. For item connection, Bart et al ordering theory and Takeya’s item relational structure provided ordering coefficient to construct item relationships and hierarchies. For concepts or skills connection, Warfield’s ISM and Lin et al Concept Advanced Interpretive Structural Modelling (CAISM provided to construct graphic relationship among elements and display the individualized concept hierarchy structure by numeric and picture. Samples contain 427 which come from Min-Hwei Junior College. Subjects were analyzed by CAISM. It shows the traditional assessment is not the only criteria; it must be combined with other assessment tools. The result shows that CAISM gives meaningful learning and lacks of learners.

  18. Using knowledge translation as a framework for the design of a research protocol.

    Science.gov (United States)

    Fredericks, Suzanne; Martorella, Géraldine; Catallo, Cristina

    2015-05-01

    Knowledge translation has been defined as the synthesis, dissemination, exchange and ethically sound application of knowledge to improve health, resulting in a stronger health-care system. Using KT activities to aid in the adoption of evidence into practice can address current health-care challenges such as increasing organizational practice standards, alleviating the risk for adverse events and meeting practitioner needs for evidence at the bedside. Two general forms of KT have been identified. These being integrated KT and end-of-grant KT. Integrated KT involves the knowledge users in the research team and in the majority of stages of the research process. End-of-grant KT relates to the translation of findings through a well-developed dissemination plan. This paper describes the process of using an integrated knowledge translation approach to design a research protocol that will examine the effectiveness of a web-based patient educational intervention. It begins with a description of integrated knowledge translation, followed by the presentation of a specific case example in which integrated knowledge translation is used to develop a nursing intervention. The major elements of integrated knowledge translation pertain to need for a knowledge user who represents the broad target user group, and who is knowledgeable in the area under investigation and who as authority to enact changes to practice. Use of knowledge users as equal partners within the research team; exploring all feasible opportunities for knowledge exchange; and working with knowledge users to identify all outcomes related to knowledge translation are the other major elements of integrated knowledge translation that are addressed throughout this paper. Furthermore, the relevance of psychosocial or educational interventions to knowledge translation is also discussed as a source of knowledge. In summary, integrated knowledge translation is an important tool for the development of new interventions, as

  19. Research and production of knowledge in Social Work

    Directory of Open Access Journals (Sweden)

    Aldaíza Sposati

    2007-05-01

    Full Text Available This article concerns research paths in the field of Social Work. It begins with the polemic concerning the potential and ability of Social Work as a social practice to produce knowledge. It revives the debate concerning the "war of the sciences" between physicists and mathematicians with social analysts, in which the later do not recognize the scientific dimension of research in the social realm. It analyzes the growth of scientific production in Social Work through dissertations and theses in the Graduate Social Work Program. To do so it comments on the analyses of Iamamoto, Silva and Silva and Carvalho and indicates the need to establish a research policy, orient the epistemic community in Social Work and organize a network of researchers centers.

  20. Lessons learned about art-based approaches for disseminating knowledge.

    Science.gov (United States)

    Bruce, Anne; Makaroff, Kara L Schick; Sheilds, Laurene; Beuthin, Rosanne; Molzahn, Anita; Shermak, Sheryl

    2013-01-01

    To present a case example of using an arts-based approach and the development of an art exhibit to disseminate research findings from a narrative research study. Once a study has been completed, the final step of dissemination of findings is crucial. In this paper, we explore the benefits of bringing nursing research into public spaces using an arts-based approach. Findings from a qualitative narrative study exploring experiences of living with life-threatening illnesses. Semi-structured in-depth interviews were conducted with 32 participants living with cancer, chronic renal disease, or HIV/AIDS. Participants were invited to share a symbol representing their experience of living with life-threatening illness and the meaning it held for them. The exhibit conveyed experiences of how people story and re-story their lives when living with chronic kidney disease, cancer or HIV. Photographic images of symbolic representations of study participants' experiences and poetic narratives from their stories were exhibited in a public art gallery. The theoretical underpinning of arts-based approaches and the lessons learned in creating an art exhibit from research findings are explored. Creative art forms for research and disseminating knowledge offer new ways of understanding and knowing that are under-used in nursing. Arts-based approaches make visible patients' experiences that are often left unarticulated or hidden. Creative dissemination approaches such as art exhibits can promote insight and new ways of knowing that communicate nursing research to both public and professional audiences.

  1. Maximizing the knowledge base: Knowledge Base+ and the Global Open Knowledgebase

    Directory of Open Access Journals (Sweden)

    Liam Earney

    2013-11-01

    Full Text Available The motivation for the two projects discussed in this article is the simple premise that the current inaccuracies of data in the library supply chain are detrimental to the user experience, limit the ability of institutions to effectively manage their collections and that resolving them is increasingly unsustainable at the institutional level. Two projects, Knowledge Base+ (KB+ in the UK and Global Open Knowledgebase (GOKb in the USA, are working in cooperation with a range of other partners, and adopting a communitycentric approach to address these issues and broaden the scope and utility of knowledge bases more generally. The belief is that only through collaboration at a wide range of levels and on a number of fronts can these challenges be overcome.

  2. Knowledge Translation Research: The Science of Moving Research into Policy and Practice

    Science.gov (United States)

    Curran, Janet A.; Grimshaw, Jeremy M.; Hayden, Jill A.; Campbell, Barbara

    2011-01-01

    Research findings will not change health outcomes unless health care organizations, systems, and professionals adopt them in practice. Knowledge translation research is the scientific study of the methods to promote the uptake of research findings by patients, health care providers, managers, and policy makers. Many forms of enquiry addressing…

  3. Case-based reasoning: The marriage of knowledge base and data base

    Science.gov (United States)

    Pulaski, Kirt; Casadaban, Cyprian

    1988-01-01

    The coupling of data and knowledge has a synergistic effect when building an intelligent data base. The goal is to integrate the data and knowledge almost to the point of indistinguishability, permitting them to be used interchangeably. Examples given in this paper suggest that Case-Based Reasoning is a more integrated way to link data and knowledge than pure rule-based reasoning.

  4. Inside the "Black Box" of a Knowledge Translation Program in Applied Health Research.

    Science.gov (United States)

    Heaton, Janet; Day, Jo; Britten, Nicky

    2015-11-01

    In this article, we present the findings of a participatory realistic evaluation of a 5-year program of health care research intended to promote the translation of knowledge into routine clinical practice. The program was one of the nine pilot Collaborations for Leadership in Applied Health Research and Care funded by the English National Institute for Health Research between 2008 and 2013. Our aim was to delineate the mechanisms by which, and circumstances in which, some projects carried out under the program achieved success in knowledge translation while others were frustrated. Using qualitative methods, we examined how closer collaboration between academics and clinicians worked in four purposefully chosen case studies. In a synthesis of the findings, we produced a "black box" model of how knowledge translation was enabled by the activation of nine mechanisms. These are summarized in the form of five simple rules for promoting knowledge translation through collaborations based on principles of coproduction. © The Author(s) 2015.

  5. Knowledge, loyalty and the dividual corporate researcher body

    DEFF Research Database (Denmark)

    Møhl, Perle; Simonsen, Anja

    It could be assumed that in order to analyze a complex and highly contentious assemblage such as a border world where a multitude of different actors, technological practices, epistemes, and political, commercial and individual interests are at play, nothing would be more obvious than a collabora...... a dividual corporate researcher body where positions can be upheld and where knowledge can be protected because not shared. As a result, our corporate researcher body becomes dividual, a body with organs that operate independently of each other....... on at the border, where some people try to filter movement and manage flows while others try to circumvent or breach such filters, and where biometric technologies are taken into use and altered for both purposes, we could operate through a simple division of knowledge labour. We are thus doing as a group what we...... maintain a checkpoint somewhere along the Schengen border. And we learn things about our interlocutors’ ruses and stratagems. For example about profiling socks. And about where to buy a “clean fake” passport. And we come to question the obviousness of sharing knowledge. In this paper we analyze the chains...

  6. Identified research directions for using manufacturing knowledge earlier in the product lifecycle.

    Science.gov (United States)

    Hedberg, Thomas D; Hartman, Nathan W; Rosche, Phil; Fischer, Kevin

    2017-01-01

    Design for Manufacturing (DFM), especially the use of manufacturing knowledge to support design decisions, has received attention in the academic domain. However, industry practice has not been studied enough to provide solutions that are mature for industry. The current state of the art for DFM is often rule-based functionality within Computer-Aided Design (CAD) systems that enforce specific design requirements. That rule-based functionality may or may not dynamically affect geometry definition. And, if rule-based functionality exists in the CAD system, it is typically a customization on a case-by-case basis. Manufacturing knowledge is a phrase with vast meanings, which may include knowledge on the effects of material properties decisions, machine and process capabilities, or understanding the unintended consequences of design decisions on manufacturing. One of the DFM questions to answer is how can manufacturing knowledge, depending on its definition, be used earlier in the product lifecycle to enable a more collaborative development environment? This paper will discuss the results of a workshop on manufacturing knowledge that highlights several research questions needing more study. This paper proposes recommendations for investigating the relationship of manufacturing knowledge with shape, behavior, and context characteristics of product to produce a better understanding of what knowledge is most important. In addition, the proposal includes recommendations for investigating the system-level barriers to reusing manufacturing knowledge and how model-based manufacturing may ease the burden of knowledge sharing. Lastly, the proposal addresses the direction of future research for holistic solutions of using manufacturing knowledge earlier in the product lifecycle.

  7. Competencies for Central American SMEs in the Knowledge-Based ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Knowledge-based economy not only affects well developed countries but ... to the information and communication technologies (ICT) related competencies, as technologies plays a key and growing role in managing knowledge and exchange.

  8. Strategic Positioning of HRM in Knowledge-Based Organizations

    Science.gov (United States)

    Thite, Mohan

    2004-01-01

    With knowledge management as the strategic intent and learning to learn as the strategic weapon, the current management focus is on how to leverage knowledge faster and better than competitors. Research demonstrates that it is the cultural mindset of the people in the organisation that primarily defines success in knowledge intensive…

  9. Genephony: a knowledge management tool for genome-wide research

    Directory of Open Access Journals (Sweden)

    Riva Alberto

    2009-09-01

    Full Text Available Abstract Background One of the consequences of the rapid and widespread adoption of high-throughput experimental technologies is an exponential increase of the amount of data produced by genome-wide experiments. Researchers increasingly need to handle very large volumes of heterogeneous data, including both the data generated by their own experiments and the data retrieved from publicly available repositories of genomic knowledge. Integration, exploration, manipulation and interpretation of data and information therefore need to become as automated as possible, since their scale and breadth are, in general, beyond the limits of what individual researchers and the basic data management tools in normal use can handle. This paper describes Genephony, a tool we are developing to address these challenges. Results We describe how Genephony can be used to manage large datesets of genomic information, integrating them with existing knowledge repositories. We illustrate its functionalities with an example of a complex annotation task, in which a set of SNPs coming from a genotyping experiment is annotated with genes known to be associated to a phenotype of interest. We show how, thanks to the modular architecture of Genephony and its user-friendly interface, this task can be performed in a few simple steps. Conclusion Genephony is an online tool for the manipulation of large datasets of genomic information. It can be used as a browser for genomic data, as a high-throughput annotation tool, and as a knowledge discovery tool. It is designed to be easy to use, flexible and extensible. Its knowledge management engine provides fine-grained control over individual data elements, as well as efficient operations on large datasets.

  10. Staying Engaged: Knowledge and Research Needs in Student Engagement

    Science.gov (United States)

    Wang, Ming-Te; Degol, Jessica

    2016-01-01

    In this article, we review knowledge about student engagement and look ahead to the future of study in this area. We begin by describing how researchers in the field define and study student engagement. In particular, we describe the levels, contexts, and dimensions that constitute the measurement of engagement, summarize the contexts that shape engagement and the outcomes that result from it, and articulate person-centered approaches for analyzing engagement. We conclude by addressing limitations to the research and providing recommendations for study. Specifically, we point to the importance of incorporating more work on how learning-related emotions, personality characteristics, prior learning experiences, shared values across contexts, and engagement in nonacademic activities influence individual differences in student engagement. We also stress the need to improve our understanding of the nuances involved in developing engagement over time by incorporating more extensive longitudinal analyses, intervention trials, research on affective neuroscience, and interactions among levels and dimensions of engagement. PMID:27087833

  11. Design of Composite Structures Using Knowledge-Based and Case Based Reasoning

    Science.gov (United States)

    Lambright, Jonathan Paul

    1996-01-01

    A method of using knowledge based and case based reasoning to assist designers during conceptual design tasks of composite structures was proposed. The cooperative use of heuristics, procedural knowledge, and previous similar design cases suggests a potential reduction in design cycle time and ultimately product lead time. The hypothesis of this work is that the design process of composite structures can be improved by using Case-Based Reasoning (CBR) and Knowledge-Based (KB) reasoning in the early design stages. The technique of using knowledge-based and case-based reasoning facilitates the gathering of disparate information into one location that is easily and readily available. The method suggests that the inclusion of downstream life-cycle issues into the conceptual design phase reduces potential of defective, and sub-optimal composite structures. Three industry experts were interviewed extensively. The experts provided design rules, previous design cases, and test problems. A Knowledge Based Reasoning system was developed using the CLIPS (C Language Interpretive Procedural System) environment and a Case Based Reasoning System was developed using the Design Memory Utility For Sharing Experiences (MUSE) xviii environment. A Design Characteristic State (DCS) was used to document the design specifications, constraints, and problem areas using attribute-value pair relationships. The DCS provided consistent design information between the knowledge base and case base. Results indicated that the use of knowledge based and case based reasoning provided a robust design environment for composite structures. The knowledge base provided design guidance from well defined rules and procedural knowledge. The case base provided suggestions on design and manufacturing techniques based on previous similar designs and warnings of potential problems and pitfalls. The case base complemented the knowledge base and extended the problem solving capability beyond the existence of

  12. SAFOD Brittle Microstructure and Mechanics Knowledge Base (BM2KB)

    Science.gov (United States)

    Babaie, Hassan A.; Broda Cindi, M.; Hadizadeh, Jafar; Kumar, Anuj

    2013-07-01

    Scientific drilling near Parkfield, California has established the San Andreas Fault Observatory at Depth (SAFOD), which provides the solid earth community with short range geophysical and fault zone material data. The BM2KB ontology was developed in order to formalize the knowledge about brittle microstructures in the fault rocks sampled from the SAFOD cores. A knowledge base, instantiated from this domain ontology, stores and presents the observed microstructural and analytical data with respect to implications for brittle deformation and mechanics of faulting. These data can be searched on the knowledge base‧s Web interface by selecting a set of terms (classes, properties) from different drop-down lists that are dynamically populated from the ontology. In addition to this general search, a query can also be conducted to view data contributed by a specific investigator. A search by sample is done using the EarthScope SAFOD Core Viewer that allows a user to locate samples on high resolution images of core sections belonging to different runs and holes. The class hierarchy of the BM2KB ontology was initially designed using the Unified Modeling Language (UML), which was used as a visual guide to develop the ontology in OWL applying the Protégé ontology editor. Various Semantic Web technologies such as the RDF, RDFS, and OWL ontology languages, SPARQL query language, and Pellet reasoning engine, were used to develop the ontology. An interactive Web application interface was developed through Jena, a java based framework, with AJAX technology, jsp pages, and java servlets, and deployed via an Apache tomcat server. The interface allows the registered user to submit data related to their research on a sample of the SAFOD core. The submitted data, after initial review by the knowledge base administrator, are added to the extensible knowledge base and become available in subsequent queries to all types of users. The interface facilitates inference capabilities in the

  13. The representation of knowledge within model-based control systems

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

    Representation of knowledge in artificially intelligent systems is discussed. Types of knowledge that might need to be represented in AI systems are listed, and include knowledge about objects, events, knowledge about how to do things, and knowledge about what human beings know (meta-knowledge). The use of knowledge in AI systems is discussed in terms of acquiring and retrieving knowledge and reasoning about known facts. Different kinds of reasonings or representations are ghen described with some examples given. These include formal reasoning or logical representation, which is related to mathematical logic, production systems, which are based on the idea of condition-action pairs (production), procedural reasoning, which uses pre-formed plans to solve problems, frames, which provide a structure for representing knowledge in an organized manner, direct analogical representations, which represent knowledge in such a manner that permits some observation without deduction

  14. Knowledge-based computer systems for radiotherapy planning.

    Science.gov (United States)

    Kalet, I J; Paluszynski, W

    1990-08-01

    Radiation therapy is one of the first areas of clinical medicine to utilize computers in support of routine clinical decision making. The role of the computer has evolved from simple dose calculations to elaborate interactive graphic three-dimensional simulations. These simulations can combine external irradiation from megavoltage photons, electrons, and particle beams with interstitial and intracavitary sources. With the flexibility and power of modern radiotherapy equipment and the ability of computer programs that simulate anything the machinery can do, we now face a challenge to utilize this capability to design more effective radiation treatments. How can we manage the increased complexity of sophisticated treatment planning? A promising approach will be to use artificial intelligence techniques to systematize our present knowledge about design of treatment plans, and to provide a framework for developing new treatment strategies. Far from replacing the physician, physicist, or dosimetrist, artificial intelligence-based software tools can assist the treatment planning team in producing more powerful and effective treatment plans. Research in progress using knowledge-based (AI) programming in treatment planning already has indicated the usefulness of such concepts as rule-based reasoning, hierarchical organization of knowledge, and reasoning from prototypes. Problems to be solved include how to handle continuously varying parameters and how to evaluate plans in order to direct improvements.

  15. How should we assess knowledge translation in research organizations; designing a knowledge translation self-assessment tool for research institutes (SATORI).

    Science.gov (United States)

    Gholami, Jaleh; Majdzadeh, Reza; Nedjat, Saharnaz; Nedjat, Sima; Maleki, Katayoun; Ashoorkhani, Mahnaz; Yazdizadeh, Bahareh

    2011-02-22

    The knowledge translation self-assessment tool for research institutes (SATORI) was designed to assess the status of knowledge translation in research institutes. The objective was, to identify the weaknesses and strengths of knowledge translation in research centres and faculties associated with Tehran University of Medical Sciences (TUMS). The tool, consisting of 50 statements in four main domains, was used in 20 TUMS-affiliated research centres and departments after its reliability was established. It was completed in a group discussion by the members of the research council, researchers and research users' representatives from each centre and/or department. The mean score obtained in the four domains of 'The question of research', 'Knowledge production', 'Knowledge transfer' and 'Promoting the use of evidence' were 2.26, 2.92, 2 and 1.89 (out of 5) respectively.Nine out of 12 interventional priorities with the lowest quartile score were related to knowledge transfer resources and strategies, whereas eight of them were in the highest quartile and related to 'The question of research' and 'Knowledge production'. The self-assessment tool identifies the gaps in capacity and infrastructure of knowledge translation support within research organizations. Assessment of research institutes using SATORI pointed out that strengthening knowledge translation through provision of financial support for knowledge translation activities, creating supportive and facilitating infrastructures, and facilitating interactions between researchers and target audiences to exchange questions and research findings are among the priorities of research centres and/or departments.

  16. APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE

    Institute of Scientific and Technical Information of China (English)

    Yao Jianchu; Zhou Ji; Yu Jun

    2003-01-01

    A concept of an intelligent optimal design approach is proposed, which is organized by a kind of compound knowledge model. The compound knowledge consists of modularized quantitative knowledge, inclusive experience knowledge and case-based sample knowledge. By using this compound knowledge model, the abundant quantity information of mathematical programming and the symbolic knowledge of artificial intelligence can be united together in this model. The intelligent optimal design model based on such a compound knowledge and the automatically generated decomposition principles based on it are also presented. Practically, it is applied to the production planning, process schedule and optimization of production process of a refining & chemical work and a great profit is achieved. Specially, the methods and principles are adaptable not only to continuous process industry, but also to discrete manufacturing one.

  17. Knowledge based expert system approach to instrumentation selection (INSEL

    Directory of Open Access Journals (Sweden)

    S. Barai

    2004-08-01

    Full Text Available The selection of appropriate instrumentation for any structural measurement of civil engineering structure is a complex task. Recent developments in Artificial Intelligence (AI can help in an organized use of experiential knowledge available on instrumentation for laboratory and in-situ measurement. Usually, the instrumentation decision is based on the experience and judgment of experimentalists. The heuristic knowledge available for different types of measurement is domain dependent and the information is scattered in varied knowledge sources. The knowledge engineering techniques can help in capturing the experiential knowledge. This paper demonstrates a prototype knowledge based system for INstrument SELection (INSEL assistant where the experiential knowledge for various structural domains can be captured and utilized for making instrumentation decision. In particular, this Knowledge Based Expert System (KBES encodes the heuristics on measurement and demonstrates the instrument selection process with reference to steel bridges. INSEL runs on a microcomputer and uses an INSIGHT 2+ environment.

  18. Outward knowledge transfer: the impact of project-based organization on performance

    OpenAIRE

    Ulrich Lichtenthaler

    2010-01-01

    Recently, interfirm knowledge transactions have increased although many firms experience major managerial difficulties in outward knowledge transfer, e.g. technology licensing. To reduce the traditional underemphasis on empirical research into corporate outward knowledge transfer, we use data from 152 firms to test four hypotheses relating firms' outward knowledge transfer performance to two types of project-based organization, which complement formal and informal organizational structures: p...

  19. Framing of scientific knowledge as a new category of health care research.

    Science.gov (United States)

    Salvador-Carulla, Luis; Fernandez, Ana; Madden, Rosamond; Lukersmith, Sue; Colagiuri, Ruth; Torkfar, Ghazal; Sturmberg, Joachim

    2014-12-01

    The new area of health system research requires a revision of the taxonomy of scientific knowledge that may facilitate a better understanding and representation of complex health phenomena in research discovery, corroboration and implementation. A position paper by an expert group following and iterative approach. 'Scientific evidence' should be differentiated from 'elicited knowledge' of experts and users, and this latter typology should be described beyond the traditional qualitative framework. Within this context 'framing of scientific knowledge' (FSK) is defined as a group of studies of prior expert knowledge specifically aimed at generating formal scientific frames. To be distinguished from other unstructured frames, FSK must be explicit, standardized, based on the available evidence, agreed by a group of experts and subdued to the principles of commensurability, transparency for corroboration and transferability that characterize scientific research. A preliminary typology of scientific framing studies is presented. This typology includes, among others, health declarations, position papers, expert-based clinical guides, conceptual maps, classifications, expert-driven health atlases and expert-driven studies of costs and burden of illness. This grouping of expert-based studies constitutes a different kind of scientific knowledge and should be clearly differentiated from 'evidence' gathered from experimental and observational studies in health system research. © 2014 John Wiley & Sons, Ltd.

  20. Regional IS Knowledge Networks: Elaborating the Theme of Relevance of IS Research

    Directory of Open Access Journals (Sweden)

    Mikael Söderström

    2003-01-01

    Full Text Available The purpose of this paper is to elaborate on the theme of the relevance of IS research. Based on recent experiments and experiences in the borderland between research and practice and politics we suggest some additions to the discussion of the IS research relevance in Fitzgerald (2001. One addition concerns relevance to whom, where we suggest considering a regional relevance through cultivation of regional IS knowledge networks. Such networks comprise regional knowledge production in collaboration between researchers and practitioners, and results are made public and tested in other organizations in addition to the research sites. This is closely related to the view of knowledge and research put forward by American pragmatism. A second addition is to complement Fitzgerald's suggestion to expose researchers to practice with the suggestion to expose practitioners to research. It is just as difficult to learn the 'true nature' of research from reading the executive summary in MIS Quarterly as it is to learn the 'true nature' of practice from a couple of interviews with practitioners. A regional IS knowledge network is an excellent opportunity for such double exposure.

  1. Knowledge and method base for shape memory alloys

    Energy Technology Data Exchange (ETDEWEB)

    Welp, E.G.; Breidert, J. [Ruhr-University Bochum, Institute of Engineering Design, 44780 Bochum (Germany)

    2004-05-01

    It is often impossible for design engineers to decide whether it is possible to use shape memory alloys (SMA) for a particular task. In case of a decision to use SMA for product development, design engineers normally do not know in detail how to proceed in a correct and beneficial way. In order to support design engineers who have no previous knowledge about SMA and to assist in the transfer of results from basic research to industrial practice, an essential knowledge and method base has been developed. Through carefully conducted literature studies and patent analysis material and design information could be collected. All information is implemented into a computer supported knowledge and method base that provides design information with a particular focus on the conceptual and embodiment design phase. The knowledge and method base contains solution principles and data about effects, material and manufacturing as well as design guidelines and calculation methods for dimensioning and optimization. A browser-based user interface ensures that design engineers have immediate access to the latest version of the knowledge and method base. In order to ensure a user friendly application, an evaluation with several test users has been carried out. Reactions of design engineers from the industrial sector underline the need for support related to knowledge on SMA. (Abstract Copyright [2004], Wiley Periodicals, Inc.) [German] Fuer Konstrukteure ist es haeufig schwierig zu entscheiden, ob sich der Einsatz von Formgedaechtnislegierungen (FGL) fuer eine bestimmte Aufgabe eignet. Fuer den Fall, dass FGL fuer die Produktentwicklung genutzt werden sollen, besitzen Ingenieure zumeist nur unzureichende Detailkenntnisse, um Formgedaechtnislegierungen richtig und in vorteilhafter Weise anwenden zu koennen. Zur Unterstuetzung von Konstrukteuren, die ueber kein Vorwissen und keine Erfahrungen zu FGL verfuegen und zum Transfer von Forschungsergebnissen in die industrielle Praxis, ist eine

  2. Weather, knowledge base and life-style

    Science.gov (United States)

    Bohle, Martin

    2015-04-01

    Why to main-stream curiosity for earth-science topics, thus to appraise these topics as of public interest? Namely, to influence practices how humankind's activities intersect the geosphere. How to main-stream that curiosity for earth-science topics? Namely, by weaving diverse concerns into common threads drawing on a wide range of perspectives: be it beauty or particularity of ordinary or special phenomena, evaluating hazards for or from mundane environments, or connecting the scholarly investigation with concerns of citizens at large; applying for threading traditional or modern media, arts or story-telling. Three examples: First "weather"; weather is a topic of primordial interest for most people: weather impacts on humans lives, be it for settlement, for food, for mobility, for hunting, for fishing, or for battle. It is the single earth-science topic that went "prime-time" since in the early 1950-ties the broadcasting of weather forecasts started and meteorologists present their work to the public, daily. Second "knowledge base"; earth-sciences are a relevant for modern societies' economy and value setting: earth-sciences provide insights into the evolution of live-bearing planets, the functioning of Earth's systems and the impact of humankind's activities on biogeochemical systems on Earth. These insights bear on production of goods, living conditions and individual well-being. Third "life-style"; citizen's urban culture prejudice their experiential connections: earth-sciences related phenomena are witnessed rarely, even most weather phenomena. In the past, traditional rural communities mediated their rich experiences through earth-centric story-telling. In course of the global urbanisation process this culture has given place to society-centric story-telling. Only recently anthropogenic global change triggered discussions on geoengineering, hazard mitigation, demographics, which interwoven with arts, linguistics and cultural histories offer a rich narrative

  3. Evaluation Research as a Mechanism for Critical Inquiry and Knowledge Construction in Architectural and Urban Education

    Directory of Open Access Journals (Sweden)

    Ashraf M. Salama

    2012-12-01

    Full Text Available This article responds to the misconceptions that continue to characterize the delivery of knowledge content in architectural courses. Based on reviewing the literature on pedagogy the paper explores the value and benefits of introducing evaluation research as a mechanism for critical inquiry and knowledge construction in theory courses in architecture and urbanism. A framework is developed and employed to demonstrate the way in which this type of learning can be incorporated.   The development and implementation of a series of in-class and off campus exercises in two different contexts reveal that structured actions and experiences help students to be in control over their learning while invigorating their understanding of the body of knowledge delivered in a typical lecture format. It firmly believed that this would offer students multiple learning opportunities while fostering their capabilities to shift from passive listeners to active learners and from knowledge consumers to knowledge producers.

  4. Local Ecological Knowledge and Community- based Management ...

    African Journals Online (AJOL)

    knowledge has been used in the management of wildlife resources in the two areas. ... Union for Conservation of Nature (IUCN), the United Nations Environment ..... In general, it is believed that cutting down trees will disturb the pattern of rainfall. ... determine and monitor animal distribution in the Luangwa GMA and the ...

  5. Knowledge Based Oil and Gas Industry

    Energy Technology Data Exchange (ETDEWEB)

    Sasson, Amir; Blomgren, Atle

    2011-07-01

    This study presents the Norwegian upstream oil and gas industry (defined as all oil and gas related firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, RandD and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.(au)

  6. Knowledge Based Oil and Gas Industry

    OpenAIRE

    Sasson, Amir; Blomgren, Atle

    2011-01-01

    This study presents the Norwegian upstream oil and gas industry (defined as all oil and gasrelated firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.

  7. Towards Knowledge-Based Digital Libraries

    NARCIS (Netherlands)

    Feng, L.; Jeusfeld, M.A.; Hoppenbrouwers, J.

    From the standpoint of satisfying human's information needs, the current digital library (DL) systems suffer from the following two shortcomings: (i) inadequate high-level cognition support; (ii) inadequate knowledge sharing facilities. In this article, we introduce a two-layered digital library

  8. Knowledge Governance Strategies in Project-based Organizations

    DEFF Research Database (Denmark)

    Pemsel, Sofia; Müller, Ralf; Söderlund, Jonas

    2016-01-01

    Knowledge governance (KG) aims at strategically influencing knowledge processes by implementing governance mechanisms. Little is known about whether, how, or why such strategies differ among firms. We utilize a large-scale empirical study of 20 organizations to develop a typology of KG strategies...... in project-based organizations; we then explore how these strategies emerge and affect organizational knowledge processes. Six strategies are identified: Protector, Deliverer, Polisher, Explorer, Supporter, and Analyzer. This paper posits a multi-level categorization model to facilitate comparisons among KG...... strategies. We uncover three main drivers of organizations' chosen knowledge governance strategies-namely, attitudes about humans, knowledge, and knowledge control....

  9. Representability in DL-Lite_R knowledge base exchange

    NARCIS (Netherlands)

    Arenas, M.; Botoeva, E.; Calvanese, D.; Ryzhikov, V.; Sherkhonov, E.

    2012-01-01

    Knowledge base exchange can be considered as a generalization of data exchange in which the aim is to exchange between a source and a target connected through mappings, not only explicit knowledge, i.e., data, but also implicit knowledge in the form of axioms. Such problem has been investigated

  10. An analysis of the research status and development trend of crowdfunding based on the theory of scientific knowledge map%基于知识图谱的众筹研究现状及发展趋势分析

    Institute of Scientific and Technical Information of China (English)

    夏恩君; 王素娟; 王俊鹏

    2017-01-01

    As the product of financial innovation in the Internet era,crowdfunding has gradually attracted the attention of academia.Based on? the theory of scientific knowledge map,by use of the histcite、citespace and other software,citation map of existing literature on crowdfunding,keywords occurrence knowledge map and keywords strategy map has been drawn to analyze the citation relationship,hot topics and development trend in the field of crowdfunding.The study results show that (1) The research of crowdfunding is still in its infancy,focusing on the qualitative analysis of operation form,characteristic of the participants,etc;(2) The motivation of participants,identification of risks,and operation mode of crowdfunding platforms is the research hotspots in the crowdfunding field;and (3) Applicability,trust mechanism,benefit distribution mechanisms of crowdfunding is the trend of development in the study.%作为互联网时代下金融创新的重要产物,众筹逐渐受到学术界的关注.论文基于知识图谱理论,利用histcite、citespace软件,绘制众筹已有研究文献间的引文关系图、关键词共现知识图谱及关键词战略图,对众筹领域已有文献间引文关系、研究热点和研究趋势进行分析.研究发现:(1)学术界对于众筹的研究仍处于初级阶段,集中于众筹运作形式、参与人特征等问题的定性分析;(2)众筹中参与人的动机、潜在风险的识别、众筹平台的运行模式是目前研究热点;(3)众筹模式的适用性、众筹模式下的信任机制、利益分配机制等问题是众筹研究的发展趋势.

  11. Knowledge, attitudes, practices, and barriers related to research utilization: a survey among pharmacists in Malaysia.

    Science.gov (United States)

    Tan, Sin Yee; Hatah, Ernieda

    2017-04-01

    Background Research utilization is part of evidence-based practice referring to the process of reviewing and critiquing scientific research and applying the findings to one's own clinical practice. Many studies on research utilization have been conducted with doctors and nurses, but to our knowledge, none have been investigated amongst pharmacists. Objective To assess research utilization and its barriers among pharmacists and identify potential influencing factors. Setting Malaysia. Methods This cross-sectional survey was administered online and by mail to a convenient sample of pharmacists working in hospitals, health clinics, and retail pharmacies in rural and urban areas. Main outcome measure Pharmacists' research utilization knowledge, attitudes, and practices. Results Six hundred surveys were mailed to potential respondents, and 466 were returned (77.7% response rate). Twenty-eight respondents completed the survey online. The respondents' research utilization knowledge, attitudes, and practices were found to be moderate. Research utilization was associated with respondents' knowledge and attitude scores (P < 0.001). When factors related to research utilization were modelled, higher educational level was associated with higher level of research utilization (P < 0.001) while less involvement in journal clubs, more years of service (3-7 years and more than 7 years) were associated with low and moderate research utilization, respectively. The main reported barrier to research utilization was lack of sufficient authority to change patient care procedures. Conclusion Pharmacists' research utilization knowledge, attitudes, and practices can be improved by encouraging pharmacists to pursue higher degrees, promoting active participation in institutions' journal clubs, and introducing senior clinical pharmacist specialization.

  12. A Model to Assess the Behavioral Impacts of Consultative Knowledge Based Systems.

    Science.gov (United States)

    Mak, Brenda; Lyytinen, Kalle

    1997-01-01

    This research model studies the behavioral impacts of consultative knowledge based systems (KBS). A study of graduate students explored to what extent their decisions were affected by user participation in updating the knowledge base; ambiguity of decision setting; routinization of usage; and source credibility of the expertise embedded in the…

  13. Public School Teachers' Knowledge, Perception, and Implementation of Brain-Based Learning Practices

    Science.gov (United States)

    Wachob, David A.

    2012-01-01

    The purpose of this study was to determine K-12 teachers' knowledge, beliefs, and practices of brain-based learning strategies in western Pennsylvania schools. The following five research questions were explored: (a) What is the extent of knowledge K-12 public school teachers have about the indicators of brain-based learning and Brain Gym?; (b) To…

  14. Large-scale computer networks and the future of legal knowledge-based systems

    NARCIS (Netherlands)

    Leenes, R.E.; Svensson, Jorgen S.; Hage, J.C.; Bench-Capon, T.J.M.; Cohen, M.J.; van den Herik, H.J.

    1995-01-01

    In this paper we investigate the relation between legal knowledge-based systems and large-scale computer networks such as the Internet. On the one hand, researchers of legal knowledge-based systems have claimed huge possibilities, but despite the efforts over the last twenty years, the number of

  15. Experiential Knowledge Complements an LCA-Based Decision Support Framework

    Directory of Open Access Journals (Sweden)

    Heng Yi Teah

    2015-09-01

    Full Text Available A shrimp farmer in Taiwan practices innovation through trial-and-error for better income and a better environment, but such farmer-based innovation sometimes fails because the biological mechanism is unclear. Systematic field experimentation and laboratory research are often too costly, and simulating ground conditions is often too challenging. To solve this dilemma, we propose a decision support framework that explicitly utilizes farmer experiential knowledge through a participatory approach to alternatively estimate prospective change in shrimp farming productivity, and to co-design options for improvement. Data obtained from the farmer enable us to quantitatively analyze the production cost and greenhouse gas (GHG emission with a life cycle assessment (LCA methodology. We used semi-quantitative graphical representations of indifference curves and mixing triangles to compare and show better options for the farmer. Our results empower the farmer to make decisions more systematically and reliably based on the frequency of heterotrophic bacteria application and the revision of feed input. We argue that experiential knowledge may be less accurate due to its dependence on varying levels of farmer experience, but this knowledge is a reasonable alternative for immediate decision-making. More importantly, our developed framework advances the scope of LCA application to support practically important yet scientifically uncertain cases.

  16. Research on Knowledge Gap Recognition Mechanism of Virtual Industry Cluster

    OpenAIRE

    Lu Cheng

    2013-01-01

    As a new organizing form, VIC gets rid of regional limit of traditional cluster, realizing virtual space agglomeration which crossing space and time. Knowledge sharing and complementary is foundation to form VIC and be one of the main goals. As preparation of the knowledge transfer, recognizing and making up for knowledge gap did not caused most scholars' attention. This study argues that, knowledge gap recognition is the premise of knowledge transfer, combined with knowledge theories, the co...

  17. In defense of types in knowledge-based CAAD

    DEFF Research Database (Denmark)

    Galle, Per

    1997-01-01

    There are two basic approaches to representation of design knowledge in knowledge-based CAAD systems, the type-based approach which has a long tradition, and the more recent typeless approach. Proponents of the latter have offered a number of arguments against the type-based approach which...

  18. Evaluation of the Processes and Outcomes of Implementing a Competency Model to Foster Research Knowledge Utilization in Education

    Science.gov (United States)

    Briand-Lamarche, Mélodie; Pinard, Renée; Thériault, Pascale; Dagenais, Christian

    2016-01-01

    To encourage the use of research-based information (RBI) in education in Quebec, the "Centre de transfert pour la réussite educative du Québec" CTREQ and the RENARD team, a knowledge transfer research team, developed the Competency Model for Knowledge Translation to Support Educational Achievement among Quebec Youth. They then developed…

  19. Building and Using Large Common Sense Knowledge Bases

    National Research Council Canada - National Science Library

    Forbus, Kenneth D

    2001-01-01

    .... We developed techniques that enabled realistic-sized situations to be compared, for automatically extracting and extending cases dynamically based on task constraints from a general purpose knowledge...

  20. An Evaluation of Applying Knowledge Base to Academic Information Service

    OpenAIRE

    Seok-Hyoung Lee; Hwan-Min Kim; Ho-Seop Choe

    2013-01-01

    Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessa...

  1. Managing Knowledge-Based Resource Capabilities Under Uncertainty

    OpenAIRE

    Janice E. Carrillo; Cheryl Gaimon

    2004-01-01

    A firm's ability to manage its knowledge-based resource capabilities has become increasingly important as a result of performance threats triggered by technology change and intense competition. At the manufacturing plant level, we focus on three repositories of knowledge that drive performance. First, the physical production or information systems represent knowledge embedded in the plant's technical systems. Second, the plant's workforce has knowledge, including diverse scientific informatio...

  2. Too much coffee... - Negotiation of Knowledge Forms in Participatory Research Settings

    DEFF Research Database (Denmark)

    Olesen, Birgitte Ravn; Nordentoft, Helle Merete

    Based on a Bakhtinian approach negotiations of knowledge in a workshop with health professionals at two psychiatric wards were analyzed. Our analysis reveals that there is a mismatch between the dialogical context we as participatory-oriented researchers want to invoke and the monological context...

  3. Research as Praxis: Perspectives on Interpreting Data from a Science and Indigenous Knowledge Systems Project

    Science.gov (United States)

    Nhalevilo, Emilia Afonso; Ogunniyi, Meshach

    2014-01-01

    This article presents a reflection on an aspect of research methodology, particularly on the interpretation strategy of data from a Science and Indigenous Knowledge Systems Project (SIKSP) in a South African university. The data interpretation problem arose while we were analysing the effects of a series of SIKSP-based workshops on the views of a…

  4. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    Directory of Open Access Journals (Sweden)

    Nitin Balaji Bilgi

    2011-10-01

    Full Text Available The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR and Case Based Reasoning (CBR. In RBR module we have interpreted and implemented rules that occur in legal statutes of the Transfer of property act. In the CBR module we have an implementation to find the related cases. The VisiRule software made available by Logic Programming Associates is used in the development of RBR part this expert system. The authors have used java Net Beans for development of CBR. VisiRule is a decision charting tool, in which the rules are defined by a combination of graphical shapes and pieces of text, and produces rules.

  5. Knowledge-based methods for control systems

    International Nuclear Information System (INIS)

    Larsson, J.E.

    1992-01-01

    This thesis consists of three projects which combine artificial intelligence and control. The first part describes an expert system interface for system identification, using the interactive identification program Idpac. The interface works as an intelligent help system, using the command spy strategy. It contains a multitude of help system ideas. The concept of scripts is introduced as a data structure used to describe the procedural part of the knowledge in the interface. Production rules are used to represent diagnostic knowledge. A small knowledge database of scripts and rules has been developed and an example run is shown. The second part describes an expert system for frequency response analysis. This is one of the oldest and most widely used methods to determine the dynamics of a stable linear system. Though quite simple, it requires knowledge and experience of the user, in order to produce reliable results. The expert system is designed to help the user in performing the analysis. It checks whether the system is linear, finds the frequency and amplitude ranges, verifies the results, and, if errors should occur, tries to give explanation and remedies for them. The third part describes three diagnostic methods for use with industrial processes. They are measurement validation, i.e., consistency checking of sensor and measurement values using any redundancy of instrumentation; alarm analysis, i.e. analysis of multiple alarm situations to find which alarms are directly connected to primary faults and which alarms are consequential effects of the primary ones; and fault diagnosis, i.e., a search for the causes of and remedies for faults. The three methods use multilevel flow models, (MFM), to describe the target process. They have been implemented in the programming tool G2, and successfully tested on two small processes. (164 refs.) (au)

  6. Evidence-based decision-making 7: Knowledge translation.

    Science.gov (United States)

    Manns, Braden J

    2015-01-01

    There is a significant gap between what is known and what is implemented by key stakeholders in practice (the evidence to practice gap). The primary purpose of knowledge translation is to address this gap, bridging evidence to clinical practice. The knowledge to action cycle is one framework for knowledge translation that integrates policy-makers throughout the research cycle. The knowledge to action cycle begins with the identification of a problem (usually a gap in care provision). After identification of the problem, knowledge creation is undertaken, depicted at the center of the cycle as a funnel. Knowledge inquiry is at the wide end of the funnel, and moving down the funnel, the primary data is synthesized into knowledge products in the form of educational materials, guidelines, decision aids, or clinical pathways. The remaining components of the knowledge to action cycle refer to the action of applying the knowledge that has been created. This includes adapting knowledge to local context, assessing barriers to knowledge use, selecting, tailoring implementing interventions, monitoring knowledge use, evaluating outcomes, and sustaining knowledge use. Each of these steps is connected by bidirectional arrows and ideally involves healthcare decision-makers and key stakeholders at each transition.

  7. How Quality Improvement Practice Evidence Can Advance the Knowledge Base.

    Science.gov (United States)

    OʼRourke, Hannah M; Fraser, Kimberly D

    2016-01-01

    Recommendations for the evaluation of quality improvement interventions have been made in order to improve the evidence base of whether, to what extent, and why quality improvement interventions affect chosen outcomes. The purpose of this article is to articulate why these recommendations are appropriate to improve the rigor of quality improvement intervention evaluation as a research endeavor, but inappropriate for the purposes of everyday quality improvement practice. To support our claim, we describe the differences between quality improvement interventions that occur for the purpose of practice as compared to research. We then carefully consider how feasibility, ethics, and the aims of evaluation each impact how quality improvement interventions that occur in practice, as opposed to research, can or should be evaluated. Recommendations that fit the evaluative goals of practice-based quality improvement interventions are needed to support fair appraisal of the distinct evidence they produce. We describe a current debate on the nature of evidence to assist in reenvisioning how quality improvement evidence generated from practice might complement that generated from research, and contribute in a value-added way to the knowledge base.

  8. [Translation of knowledge on cervical cancer: is there a gap between research on causes and research on patient care?].

    Science.gov (United States)

    Fajardo-Ortiz, David; Ochoa, Héctor; García, Luis; Castaño, Víctor

    2014-02-01

    This article constructs a map on the translation of knowledge concerning cervical cancer, based on citation networks analysis and the use of Gene Ontology terms and Medical Subject Headings. We identified two areas of research that are poorly interconnected and differ in structure, content, and evolution. One focuses on causes of cancer and the other on patient care. The first research area showed a knowledge translation process where basic research and clinical research are communicated through a set of articles that consolidate human papillomavirus infection as the necessary cause of cervical cancer. The first area aims to prevent HPV infection and the development of cervical cancer, while the second aims to stage and treat the disease.

  9. Bipolar disorder research 2.0: Web technologies for research capacity and knowledge translation.

    Science.gov (United States)

    Michalak, Erin E; McBride, Sally; Barnes, Steven J; Wood, Chanel S; Khatri, Nasreen; Balram Elliott, Nusha; Parikh, Sagar V

    2017-12-01

    Current Web technologies offer bipolar disorder (BD) researchers many untapped opportunities for conducting research and for promoting knowledge exchange. In the present paper, we document our experiences with a variety of Web 2.0 technologies in the context of an international BD research network: The Collaborative RESearch Team to Study psychosocial issues in BD (CREST.BD). Three technologies were used as tools for enabling research within CREST.BD and for encouraging the dissemination of the results of our research: (1) the crestbd.ca website, (2) social networking tools (ie, Facebook, Twitter), and (3) several sorts of file sharing (ie YouTube, FileShare). For each Web technology, we collected quantitative assessments of their effectiveness (in reach, exposure, and engagement) over a 6-year timeframe (2010-2016). In general, many of our strategies were deemed successful for promoting knowledge exchange and other network goals. We discuss how we applied our Web analytics to inform adaptations and refinements of our Web 2.0 platforms to maximise knowledge exchange with people with BD, their supporters, and health care providers. We conclude with some general recommendations for other mental health researchers and research networks interested in pursuing Web 2.0 strategies. © 2017 John Wiley & Sons, Ltd.

  10. Knowledge Translation Tools are Emerging to Move Neck Pain Research into Practice.

    Science.gov (United States)

    Macdermid, Joy C; Miller, Jordan; Gross, Anita R

    2013-01-01

    Development or synthesis of the best clinical research is in itself insufficient to change practice. Knowledge translation (KT) is an emerging field focused on moving knowledge into practice, which is a non-linear, dynamic process that involves knowledge synthesis, transfer, adoption, implementation, and sustained use. Successful implementation requires using KT strategies based on theory, evidence, and best practice, including tools and processes that engage knowledge developers and knowledge users. Tools can provide instrumental help in implementing evidence. A variety of theoretical frameworks underlie KT and provide guidance on how tools should be developed or implemented. A taxonomy that outlines different purposes for engaging in KT and target audiences can also be useful in developing or implementing tools. Theoretical frameworks that underlie KT typically take different perspectives on KT with differential focus on the characteristics of the knowledge, knowledge users, context/environment, or the cognitive and social processes that are involved in change. Knowledge users include consumers, clinicians, and policymakers. A variety of KT tools have supporting evidence, including: clinical practice guidelines, patient decision aids, and evidence summaries or toolkits. Exemplars are provided of two KT tools to implement best practice in management of neck pain-a clinician implementation guide (toolkit) and a patient decision aid. KT frameworks, taxonomies, clinical expertise, and evidence must be integrated to develop clinical tools that implement best evidence in the management of neck pain.

  11. Taking Research and Knowledge to the Common People

    Science.gov (United States)

    Hossain, F.

    2017-12-01

    Most sponsored research in this world is driven by the need to improve livelihood and the environment around us. This is particularly true for the case of earth and environmental issues involving the resources of water, food, energy and health. However, is such research guaranteed of bringing positive benefits for society as soon as it is documented in peer-reviewed forums or in media publications? More than 2 decades ago the United States National Research Council popularized the term "Valley of Death" to describe the region where research findings struggle to survive before reaching maturity for societal applications. Recent experience in the field of earth and environmental sciences shows that many of the potential beneficiaries (i.e., the common people), who are not as familiar with the motivation behind sponsored research in the field, may have a more skeptical view based on their current and archaic practices in their livelihood. This talk will shed light this "Valley of Death" for research and ways to accelerate the societal impact of research to the common people. Using examples drawing from technology, water, food and physical modeling of earth, this talk will also share lessons learned on ways to be effective agents of change for making a direct impact with scientific research.

  12. Research and quality improvement experience and knowledge: a nursing survey.

    Science.gov (United States)

    Fox, Jolene; Bagley, Lisa; Day, Suzanne; Holleran, Renee; Handrahan, Diana

    2011-07-01

    To assess nursing staff's background and research and quality improvement (QI) experience. In this corporation, participation in research and QI is encouraged, but little is known about nurses' experiences. A web-based survey was distributed. Nursing staffs from an academic/teaching medical centre and other intra-corporation non-academic facilities were compared. Respondents included: 148 (52.9%) medical centre and 132 (47.1%) non-medical centre subjects. Medical centre respondents had a higher proportion previously engaged in research, currently engaged in research and previously engaged in QI. Productivity (grant, published and presented) was low for both groups but statistically lower for the non-medical centre group. Medical centre employees used research resources more often than the non-medical centre. Time was the most frequently mentioned barrier to participation in research and QI initiatives. A moderate proportion of respondents had research and QI experience, yet productivity and use of resources was low. Nurses at non-academically focused facilities were in most need of assistance. Familiarizing nurses with resources and providing protected time may increase productivity. Developing an infrastructure to support nursing research is a worthy goal. Information about interest and experience of nurses can aid management in determining how to focus financial resources. © 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Ltd.

  13. Knowledge-Basing Teaching Professions and Professional Practice

    DEFF Research Database (Denmark)

    Thingstrup, Signe Hvid

    This paper discusses the demand for knowledge-based practice and two different answers to this demand, namely evidence-based thinking and critical-political thinking. The paper discusses the implications these have for views on knowledge and professional development. The paper presents and discus...

  14. Knowledge-Based Approaches: Two cases of applicability

    DEFF Research Database (Denmark)

    Andersen, Tom

    1997-01-01

    Basic issues of the term: A knowledge-based approach (KBA) are discussed. Two cases of applicable to KBA are presented, and its concluded that KBA is more than just IT.......Basic issues of the term: A knowledge-based approach (KBA) are discussed. Two cases of applicable to KBA are presented, and its concluded that KBA is more than just IT....

  15. Transition to knowledge-based economy in Saudi Arabia

    NARCIS (Netherlands)

    Nour, S.

    2014-01-01

    This paper discusses the progress in transition to knowledge-based economy in Saudi Arabia. As for the methodology, this paper uses updated secondary data obtained from different sources. It uses both descriptive and comparative approaches and uses the OECD definition of knowledge-based economy and

  16. A knowledge-based approach for recognition of handwritten Pitman ...

    Indian Academy of Sciences (India)

    The paper describes a knowledge-based approach for the recognition of PSL strokes. Information about location and the direction of the starting point and final point of strokes are considered the knowledge base for recognition of strokes. The work comprises preprocessing, determination of starting and final points, ...

  17. Identifying the professional knowledge base for multi-grade teaching ...

    African Journals Online (AJOL)

    This paper reports a small-scale qualitative study of teachers and teaching principals in multi-grade rural schools in Australia, focusing on identifying the professional knowledge base required for teachers in such contexts. Such a knowledge base is essential for improving the quality of multi-grade teaching. Interviews and ...

  18. Knowledge and use of evidence-based nutrition : a survey of paediatric dietitians

    NARCIS (Netherlands)

    Thomas, DE; Kukuruzovic, R; Martino, B; Chauhan, SS; Elliott, EJ

    2003-01-01

    Objective To survey paediatric dietitians' knowledge and use of evidence-based nutrition (EBN). Design Cross-sectional survey using reply-paid questionnaires. Subjects Paediatric dietitians in Australian teaching hospitals. Main outcome measures Age, sex, appointment, clinical practice, research

  19. Knowledge-Based Systems in Biomedicine and Computational Life Science

    CERN Document Server

    Jain, Lakhmi

    2013-01-01

    This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: ·         personalized stress diagnosis system ·         image analysis system for breast cancer diagnosis ·         analysis of neuronal cell images ·         structure prediction of protein ·         relationship between two mental disorders ·         detection of cardiac abnormalities ·         holistic medicine based treatment ·         analysis of life-science data  

  20. Knowledge Base of Mathematics Teacher Educators: A Goals-Knowledge-Practice Approach

    Science.gov (United States)

    Veselovsky, Aleksandra

    2017-01-01

    Critical analysis of the literature reveals that many questions about the knowledge and practice of mathematics teacher educators (MTEs) remain in need of further research: how do they know what to teach; how do they learn how to teach teachers; how do they prepare to teach their courses; how does the research on teacher education inform their…

  1. Knowledges

    DEFF Research Database (Denmark)

    Berling, Trine Villumsen

    2012-01-01

    Scientific knowledge in international relations has generally focused on an epistemological distinction between rationalism and reflectivism over the last 25 years. This chapter argues that this distinction has created a double distinction between theory/reality and theory/practice, which works...... and reflectivism. Bourdieu, on the contrary, lets the challenge to the theory/reality distinction spill over into a challenge to the theory/practice distinction by thrusting the scientist in the foreground as not just a factor (discourse/genre) but as an actor. In this way, studies of IR need to include a focus...... as a ghost distinction structuring IR research. While reflectivist studies have emphasised the impossibility of detached, objective knowledge production through a dissolution of the theory/reality distinction, the theory/practice distinction has been left largely untouched by both rationalism...

  2. Widening the Knowledge Acquisition Bottleneck for Constraint-Based Tutors

    Science.gov (United States)

    Suraweera, Pramuditha; Mitrovic, Antonija; Martin, Brent

    2010-01-01

    Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing them is a labour-intensive and time-consuming process. A major share of the effort is devoted to acquiring the domain knowledge that underlies the system's intelligence. The goal of this research is to reduce this knowledge acquisition bottleneck and better…

  3. A NASA/RAE cooperation in the development of a real-time knowledge based autopilot

    Science.gov (United States)

    Daysh, Colin; Corbin, Malcolm; Butler, Geoff; Duke, Eugene L.; Belle, Steven D.; Brumbaugh, Randal W.

    1991-01-01

    As part of a US/UK cooperative aeronautical research program, a joint activity between NASA-Ames and the Royal Aerospace Establishment on Knowledge Based Systems (KBS) was established. This joint activity is concerned with tools and techniques for the implementation and validation of real-time KBS. The proposed next stage of the research is described, in which some of the problems of implementing and validating a Knowledge Based Autopilot (KBAP) for a generic high performance aircraft will be studied.

  4. Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research

    International Nuclear Information System (INIS)

    De la Iglesia, D; García-Remesal, M; Maojo, V; Cachau, R E

    2013-01-01

    Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts. (paper)

  5. Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research

    Science.gov (United States)

    de la Iglesia, D; Cachau, R E; García-Remesal, M; Maojo, V

    2014-01-01

    Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts. PMID:24932210

  6. Integrated Knowledge Translation and Grant Development: Addressing the Research Practice Gap through Stakeholder-informed Research.

    Science.gov (United States)

    Henderson, Joanna; Brownlie, Elizabeth; Rosenkranz, Susan; Chaim, Gloria; Beitchman, Joseph

    2013-11-01

    We describe our stakeholder engagement process for grant application development that occurred as part of our integrated knowledge translation plan and make recommendations for researchers. In phase 1, a stakeholder consultation group was developed. In phase 2, surveys regarding knowledge gathering, research agenda, and research collaboration preferences were sent to 333 cross-sectoral youth-serving organizations in Ontario, including family and consumer organizations. In phase 1, 28 stakeholders from six sectors participated in the consultation group and provided input on multiple aspects of the proposal. Through this process, 19 stakeholders adopted formal roles within the project. In phase 2, 206 surveys were received (response rate = 62%). Survey responses supported the grant focus (concurrent youth mental health and substance use problems). Respondents also prioritized project goals and provided specific feedback on research and knowledge translation. Finally, although some stakeholders chose greater involvement, most survey respondents indicated a preference for a moderate level of participation in research rather than full team membership. Despite short timelines and feasibility challenges, stakeholders can be meaningfully engaged in and contribute to the grant proposal development process. Consideration is needed for the practical challenges that stakeholder organizations face in supporting and participating in research.

  7. Knowledge management method for knowledge based BWR Core Operation Management System

    Energy Technology Data Exchange (ETDEWEB)

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-03-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author).

  8. Knowledge management method for knowledge based BWR Core Operation Management System

    International Nuclear Information System (INIS)

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-01-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author)

  9. Knowledge services in science and technology - improving the university/research centre - company relationship

    International Nuclear Information System (INIS)

    Magalhaes, Adriana Braz Vendramini Bicca

    2009-01-01

    This research proposes a conceptual model for Knowledge Services Structure applicable to Science and Technology Parks (STP) and targeted to micro, small and medium enterprises, in order to improve the business - university - research centers relationship. The idea emerged from exploratory studies on STP and the observation of a knowledge gap on this subject: academic studies that have proposed support services structures to link companies - university - research centers in STP were not available. The study methodology is composed by: exploratory studies complemented by action research. Five aspects of analysis (knowledge services, business development, ordinary/ S and T infrastructure services, expansion of area, and image / visibility) were chosen; a questionnaire based on the these aspects were elaborated and applied by e-mail (e-survey), using as data-base the IASP associated members for the selection of potential respondents. The questionnaire was answered by STP managers from different countries (Spain, Italy, Portugal, Germany, United Kingdom, China, Brazil, Turkey and Uruguay) and, for a deeper and better answers understanding, presential interviews were conducted in certain European STP. After presentation, analysis and discussion of the results, a conceptual model of knowledge service structure for STP has been made, using as basis the Technology Park of Sao Paulo structure. During the formulation of the conceptual model stage, a brief discussion on the importance of knowing and meet the customer needs meant on the inclusion of a customer-interface in the final model. (author)

  10. The way you see is what you get. Market research as modes of knowledge production

    DEFF Research Database (Denmark)

    Bjerrisgaard, Sofie Møller; Kjeldgaard, Dannie

    2012-01-01

    Overview This chapter addresses the topic of global market research and questions the conventional understanding of market research techniques as managerial devices used to improve marketing decisions. Instead, this chapter considers market research as a cultural practice. This means that market...... upon market research addresses the question of how the type of insights generated about consumers/markets is structured by the choice of market research method. Based upon an ethnographic study of a global market research technique within the context of advertising, this chapter demonstrates how...... divergent practices and orientations of market research frame the kind of knowledge generated about consumers, markets, products and brands in global markets. The implications of such a reconceptualization of market research concern the refl exivity of managers upon their own marketplace embeddedness...

  11. Towards Modeling False Memory With Computational Knowledge Bases.

    Science.gov (United States)

    Li, Justin; Kohanyi, Emma

    2017-01-01

    One challenge to creating realistic cognitive models of memory is the inability to account for the vast common-sense knowledge of human participants. Large computational knowledge bases such as WordNet and DBpedia may offer a solution to this problem but may pose other challenges. This paper explores some of these difficulties through a semantic network spreading activation model of the Deese-Roediger-McDermott false memory task. In three experiments, we show that these knowledge bases only capture a subset of human associations, while irrelevant information introduces noise and makes efficient modeling difficult. We conclude that the contents of these knowledge bases must be augmented and, more important, that the algorithms must be refined and optimized, before large knowledge bases can be widely used for cognitive modeling. Copyright © 2016 Cognitive Science Society, Inc.

  12. Qualitative processing of uncertainty, conflicts and redundancy in knowledge bases

    International Nuclear Information System (INIS)

    Zbytovsky, V.

    1994-01-01

    This paper describes two techniques, created and implemented in the course of development of the real-time on-line expert system Recon at the Nuclear Research Institute at Rez, Czech Republic. The first of them is the qualitative processing of uncertainty, which is based on the introduction of the third logic value to logic data objects, and the credibility flag to arithmetic data objects. The treatment of the third value and credibility flags during the inference, the explanation method based on the graphic representation and the uncertainty processing during the explanation are also mentioned. The second technique, is a semantic checking of knowledge bases, which enables us to recover parts of the bases, that are meaningless, either because of an error during their implementation into a base, or because they are redundant. The paper includes the explanation of basic terms of this method, such as so called conflicts, K-group and K-situation. The two types of the conflict (dead-end and bubble) are also discussed. The paper also offers the complete mathematical apparatus, which the checking method is based on. (author). 4 refs, tabs

  13. Assessing the effectiveness of a longitudinal knowledge dissemination intervention: Sharing research findings in rural South Africa

    Directory of Open Access Journals (Sweden)

    Rhian Twine

    2017-06-01

    Full Text Available Knowledge dissemination interventions (KDIs are integral to knowledge brokerage activities in research as part of the ethics of practice, but are seldom evaluated. In this case study, we critically reflect on an annual KDI as part of knowledge brokerage activities in the MRC/Wits-Agincourt Unit health and demographic surveillance system (HDSS in rural South Africa from 2001 to 2015. The HDSS findings on births, deaths and migrations, as well as nested research project results, were shared with villagers, village leaders and service providers. The data used for this case study comprised secondary analysis of 13 reports and 762 evaluation forms of annual village-based meetings; records of requests for data from stakeholders; and qualitative analysis of 15 individual and five focus group interviews with local leaders and service providers involving 60 people. Over time, the KDI evolved from taking place over one week a year to being extended over six months, and to include briefings with service providers and local leaders. Attendance at village-level meetings remained low at an average of 3 per cent of the total adult population. Since 2011, the KDI village-based meetings have developed into an embedded community forum for discussion of topical village issues. There has been a decrease in requests for health-care and other services from the research unit, with a concurrent increase in research-related questions and requests for data from service providers, village leaders and political representatives. We conclude that, in this setting, the dissemination of research findings is not a linear exchange of information from the researchers to village residents and their leadership, but is increasingly multi-directional. KDIs are a key component of knowledge brokerage activities and involve, influence and are influenced by other aspects of knowledge brokerage, such as identifying, engaging and connecting with stakeholders and supporting sustainability.

  14. The Perceptions of Teachers Regarding Their Knowledge, Beliefs, and Practices of Brain-Based Learning Strategies

    Science.gov (United States)

    Ridley, Janice Rebecca Becky

    2012-01-01

    The purpose of this dissertation was to assess K-12 teachers' perceptions of knowledge, beliefs, and practices toward brain-based learning strategies, how their knowledge relates to their beliefs and practices, and how their beliefs relate to their classroom practices. This research also investigated relationships between teachers' gender, years…

  15. Cross-disciplinary research in cancer: an opportunity to narrow the knowledge-practice gap.

    Science.gov (United States)

    Urquhart, R; Grunfeld, E; Jackson, L; Sargeant, J; Porter, G A

    2013-12-01

    Health services researchers have consistently identified a gap between what is identified as "best practice" and what actually happens in clinical care. Despite nearly two decades of a growing evidence-based practice movement, narrowing the knowledge-practice gap continues to be a slow, complex, and poorly understood process. Here, we contend that cross-disciplinary research is increasingly relevant and important to reducing that gap, particularly research that encompasses the notion of transdisciplinarity, wherein multiple academic disciplines and non-academic individuals and groups are integrated into the research process. The assimilation of diverse perspectives, research approaches, and types of knowledge is potentially effective in helping research teams tackle real-world patient care issues, create more practice-based evidence, and translate the results to clinical and community care settings. The goals of this paper are to present and discuss cross-disciplinary approaches to health research and to provide two examples of how engaging in such research may optimize the use of research in cancer care.

  16. A PROCESS-BASED APPROACH TO KNOWLEDGE MANAGEMENT

    OpenAIRE

    Kovačić, Andrej; Bosilj Vukšić, Vesna; Lončar, Anita

    2006-01-01

    This paper analyses the relationship between business process modelling, knowledge management and information systems development projects. The paper’s main objective is to present business rules as the encoded knowledge of corporate business practices. Further, it introduces a rule-based business activity meta-model as a repository in which business knowledge can be captured and traced from their origin in the business environment through to their implementation in information systems. The c...

  17. Integrative pathway knowledge bases as a tool for systems molecular medicine.

    Science.gov (United States)

    Liang, Mingyu

    2007-08-20

    There exists a sense of urgency to begin to generate a cohesive assembly of biomedical knowledge as the pace of knowledge accumulation accelerates. The urgency is in part driven by the emergence of systems molecular medicine that emphasizes the combination of systems analysis and molecular dissection in the future of medical practice and research. A potentially powerful approach is to build integrative pathway knowledge bases that link organ systems function with molecules.

  18. Composites Similarity Analysis Method Based on Knowledge Set in Composites Quality Control

    OpenAIRE

    Li Haifeng

    2016-01-01

    Composites similarity analysis is an important link of composites review, it can not only to declare composites review rechecking, still help composites applicants promptly have the research content relevant progress and avoid duplication. This paper mainly studies the composites similarity model in composites review. With the actual experience of composites management, based on the author’s knowledge set theory, paper analyzes deeply knowledge set representation of composites knowledge, impr...

  19. A Representation System User Interface for Knowledge Base Designers

    OpenAIRE

    Fikes, Richard E.

    1982-01-01

    A major strength of frame-based knowledge representation languages is their ability to provide the knowledge base designer with a concise and intuitively appealing means expression. The claim of intuitive appeal is based on the observation that the object -centered style of description provided by these languages often closely matches a designer's understanding of the domain being modeled and therefore lessens the burden of reformulation involved in developing a formal description. To be effe...

  20. Knowledge based assessment of intestinal parasitic Infections ...

    African Journals Online (AJOL)

    There is an apparent lack of information on the risk and clinical symptoms of Intestinal Parasitic Infections (IPIs) among students attending boarding secondary schools in Ebonyi State, Nigeria. This questionnaire-based survey attempts to assess some behavioural habits, possible risk factor(s) as well as clinical symptoms ...

  1. Experiences in Preserving Design Bases & Knowledge Management

    International Nuclear Information System (INIS)

    Koshy, Thomas

    2013-01-01

    Purpose: • To build repository of information on design and development in a retrievable manner to: • Establish licensing/design bases of the plant; • Identify the known vulnerabilities and how they are to be addressed; • Prevent undoing the lessons learned; • Facilitate advancement without repeating the undesirable incidents of the past

  2. Risk based knowledge assessments: towards a toolbox for managing key knowledge assets

    International Nuclear Information System (INIS)

    Bright, Clive

    2008-01-01

    Full text: It is now well acknowledged that considerable Knowledge Management (KM) issues are faced by national and international nuclear communities. Much of these problems relate to issues of an ageing workforce and the significantly reduced influx of new generation of nuclear engineers and scientists. The management discipline of KM contains a broad spectrum of methods and techniques. However, the effective implementation of a KM strategy requires the selection and deployment of appropriate and targeted approaches that are pertinent to the particular issues of the technical or business area within an organisation. A clear strategy is contingent upon an assessment of what are the knowledge areas and what are the key (knowledge) risk areas. In particular the following issues have to be addressed: 'what knowledge exists?', 'what is the nature and format of that knowledge?' and 'what knowledge is key to our continued, safe, and effective operation?'. Answers to such questions will enable an organisation to prioritise KM effort and employ subsequent KM approaches that are appropriate. Subsequent approaches ranging from the utilisation of information technologies, such as databases; knowledge retention methods; and the setting up of Community of Practices to share knowledge and experience. This paper considers a risk assessment based approach to KM. In so doing the paper extends work previously reported on an approach to conducting knowledge audits by considering the integration of that approach with approaches to (knowledge) risk assessment. The paper also provides a brief review of the various KM approaches that can act to reduce the level of risk faced by an organisation. The paper concludes by reflecting upon the role, value of deploying such a risk based approach. (author)

  3. Knowledge-based analysis of phenotypes

    KAUST Repository

    Hoendorf, Robert

    2016-01-27

    Phenotypes are the observable characteristics of an organism, and they are widely recorded in biology and medicine. To facilitate data integration, ontologies that formally describe phenotypes are being developed in several domains. I will describe a formal framework to describe phenotypes. A formalized theory of phenotypes is not only useful for domain analysis, but can also be applied to assist in the diagnosis of rare genetic diseases, and I will show how our results on the ontology of phenotypes is now applied in biomedical research.

  4. "I Got to Know Them in a New Way": Rela(y/t)ing Rhizomes and Community-Based Knowledge (Brokers') Transformation of Western and Indigenous Knowledge.

    Science.gov (United States)

    Fornssler, Barbara; McKenzie, Holly A; Dell, Colleen Anne; Laliberte, Larry; Hopkins, Carol

    2014-04-01

    Drawing on three culturally specific research projects, this paper examines how community-based knowledge brokers' engagement in brokering knowledge shaped the projects' processes. Informed by Deleuze and Guattari's (1987) conceptualization of the "rhizome," we discuss how community knowledge brokers' engagement in open research-creation practices embrace the relational foundation of Indigenous research paradigms in contrast to mainstream Western research practices that are engaged as linear, objective, and outcome-oriented activities. In turn, we offer propositions for building team environments where open research-creation practices can unfold, informing a periphery of shared space for Indigenous and Western paradigms.

  5. The Underdetermined Knowledge-Based Theory of the MNC

    DEFF Research Database (Denmark)

    Fransson, Anders; Håkanson, Lars; W. Liesch, Peter

    2011-01-01

    In this note we revisit two core propositions of the knowledge-based view of the firm found in the seminal work of Kogut and Zander: (1) that multinational corporations (MNCs) exist because transfers and re-combinations of knowledge occur more efficiently inside MNCs than between MNCs and third...... parties; and (2) that the threat of opportunism is not necessary, although it may be sufficient, to explain the existence of the MNC. Their knowledge-based view shifted the conceptualization of the firm from an institution arising from market failure and transaction costs economizing to a progeny......-combination of knowledge among their members. Important insights may be gained by applying the concept of epistemic communities implicit in the knowledge-based perspective beyond firm-level hierarchies....

  6. Knowledge-based automated radiopharmaceutical manufacturing for Positron Emission Tomography

    International Nuclear Information System (INIS)

    Alexoff, D.L.

    1991-01-01

    This article describes the application of basic knowledge engineering principles to the design of automated synthesis equipment for radiopharmaceuticals used in Positron Emission Tomography (PET). Before discussing knowledge programming, an overview of the development of automated radiopharmaceutical synthesis systems for PET will be presented. Since knowledge systems will rely on information obtained from machine transducers, a discussion of the uses of sensory feedback in today's automated systems follows. Next, the operation of these automated systems is contrasted to radiotracer production carried out by chemists, and the rationale for and basic concepts of knowledge-based programming are explained. Finally, a prototype knowledge-based system supporting automated radiopharmaceutical manufacturing of 18FDG at Brookhaven National Laboratory (BNL) is described using 1stClass, a commercially available PC-based expert system shell

  7. KNOWLEDGE BASE AND EFL TEACHER EDUCATION PROGRAMS: A COLOMBIAN PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    Yamith Fandiño

    2013-04-01

    Full Text Available In the 21st century, Colombian pre-service EFL Teacher Education Programs (TEPs should study what constitutes the core knowledge base for language teachers to be effective in their profession. These programs must refrain from simply conceptualizing knowledge base as the acquisition of the basic skills required for teaching, the competency of educators in their subject matter area, and the use of pedagogical skills. Instead, they should strive to reflect on what Colombian language teachers need to know about teaching and learning, and study how their knowledge, beliefs, and attitudes inform their practices. A starting point to do so is to interpret the variety of proposals that have been generated through the years in the field. This paperoffers a review of what teacher knowledge base is, presents an overview of how Colombian EFL TEPs are working on teacher knowledge,and suggests some strategies to envision a more complete framework of reference for teacher formation in Colombia.

  8. Tell Me Why! Content Knowledge Predicts Process-Orientation of Math Researchers' and Math Teachers' Explanations

    Science.gov (United States)

    Lachner, Andreas; Nückles, Matthias

    2016-01-01

    In two studies, we investigated the impact of instructors' different knowledge bases on the quality of their instructional explanations. In Study 1, we asked 20 mathematics teachers (with high pedagogical content knowledge, but lower content knowledge) and 15 mathematicians (with lower pedagogical content knowledge, but high content knowledge) to…

  9. How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability

    OpenAIRE

    Gaillard , Emmanuelle; Lieber , Jean; Nauer , Emmanuel; Cordier , Amélie

    2014-01-01

    International audience; This paper shows that performing case-based reasoning (CBR) on knowledge coming from an e-community is improved by taking into account knowledge reliability. MKM (meta-knowledge model) is a model for managing reliability of the knowledge units that are used in the reasoning process. For this, MKM uses meta-knowledge such as belief, trust and reputation, about knowledge units and users. MKM is used both to select relevant knowledge to conduct the reasoning process, and ...

  10. Knowledge-based operator guidance system for Japanese PWRs

    International Nuclear Information System (INIS)

    Fujita, Y.; Ito, K.; Kawanago, S.; Tani, M.; Murata, R.

    1986-01-01

    A knowledge-based operator support system for nuclear power plant operation is under development. The main theme of the study is the incorporation of operator's cognitive structure as the framework of the knowledge representation and inference control mechanisms. Based upon information collected from interviews, and experiments using a real-time simulator, an operator's model related to diagnostic tasks was developed. A knowledge-based system incorporating the proposed model demonstrated highly efficient problem solving capabilities and the dynamic fitness to operator's perceptual feeling, thereby suggesting the potential importance and practical benefit of such a study

  11. Knowledge-based control of an adaptive interface

    Science.gov (United States)

    Lachman, Roy

    1989-01-01

    The analysis, development strategy, and preliminary design for an intelligent, adaptive interface is reported. The design philosophy couples knowledge-based system technology with standard human factors approaches to interface development for computer workstations. An expert system has been designed to drive the interface for application software. The intelligent interface will be linked to application packages, one at a time, that are planned for multiple-application workstations aboard Space Station Freedom. Current requirements call for most Space Station activities to be conducted at the workstation consoles. One set of activities will consist of standard data management services (DMS). DMS software includes text processing, spreadsheets, data base management, etc. Text processing was selected for the first intelligent interface prototype because text-processing software can be developed initially as fully functional but limited with a small set of commands. The program's complexity then can be increased incrementally. The intelligent interface includes the operator's behavior and three types of instructions to the underlying application software are included in the rule base. A conventional expert-system inference engine searches the data base for antecedents to rules and sends the consequents of fired rules as commands to the underlying software. Plans for putting the expert system on top of a second application, a database management system, will be carried out following behavioral research on the first application. The intelligent interface design is suitable for use with ground-based workstations now common in government, industrial, and educational organizations.

  12. Formal Support for Development of Knowledge-Based Systems

    NARCIS (Netherlands)

    Fensel, Dieter; Van Harmelen, Frank; Reif, Wolfgang; Ten Teije, Annette

    1998-01-01

    This article provides an approach for developing reliable knowledge-based systems. Its main contributions are: Specification is done at an architectural level that abstracts from a specific implementation formalism. The model of expertise of CommonKADS distinguishs different types of knowledge and

  13. Knowledge-Based Hierarchies: Using Organizations to Understand the Economy

    Science.gov (United States)

    Garicano, Luis; Rossi-Hansberg, Esteban

    2015-01-01

    Incorporating the decision of how to organize the acquisition, use, and communication of knowledge into economic models is essential to understand a wide variety of economic phenomena. We survey the literature that has used knowledge-based hierarchies to study issues such as the evolution of wage inequality, the growth and productivity of firms,…

  14. Knowledge base combinations and innovation performance in Swedish regions

    Czech Academy of Sciences Publication Activity Database

    Grillitsch, M.; Martin, R.; Srholec, Martin

    2017-01-01

    Roč. 93, č. 5 (2017), s. 458-479 ISSN 0013-0095 Institutional support: Progres-Q24 Keywords : knowledge base * knowledge combination * region Subject RIV: AH - Economics OBOR OECD: Applied Economics, Econometrics Impact factor: 5.344, year: 2016

  15. Knowledge base combinations and innovation performance in Swedish regions

    Czech Academy of Sciences Publication Activity Database

    Grillitsch, M.; Martin, R.; Srholec, Martin

    2017-01-01

    Roč. 93, č. 5 (2017), s. 458-479 ISSN 0013-0095 Institutional support: RVO:67985998 Keywords : knowledge base * knowledge combination * region Subject RIV: AH - Economics OBOR OECD: Applied Economics, Econometrics Impact factor: 5.344, year: 2016

  16. The effect of knowledge based view on sustainable competitive advantage

    Directory of Open Access Journals (Sweden)

    Fatemeh Rezaee

    2015-11-01

    Full Text Available This study investigates the quantitative relationship between knowledge based view (i.e. empowering employees, promoting confidence, coding rules and sustainability competitive advantage (i.e. market, customer, financial within the banking industry of Iran. A valid research instrument was utilized to conduct a survey of 150 top- and middle-level managers from Mellat bank of Iran. With a response rate of 81.3 percent, 122 questionnaires are returned; the number of valid and usable questionnaires was 101. In order to determine validity of questionnaire, the content validity was used and Cronbach's alpha was used to determine the reliability of the questionnaire (KBV questionnaire 0.886, SCA questionnaire 0.843. Utilizing the structural equation modeling, and after a series of exploratory and confirmatory factor analyses, it was found that KBV had the greatest effect on the market centered SCA, while it had the least influence on the customer centered.

  17. Design of Knowledge Bases for Plant Gene Regulatory Networks.

    Science.gov (United States)

    Mukundi, Eric; Gomez-Cano, Fabio; Ouma, Wilberforce Zachary; Grotewold, Erich

    2017-01-01

    Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be accomplished in four stages. This begins with defining the data scope. We describe here the necessary information and resources, and outline the methods for obtaining data. The second stage consists of designing the schema, which involves defining the entire arrangement of the database in a systematic plan. The third stage is the implementation, defined by actualization of the database by using software according to a predefined schema. The final stage is development, where the database is made available to users in a web-accessible system. The result is a knowledgebase that integrates all the information pertaining to gene regulation, and which is easily expandable and transferable.

  18. HINT-KB: The human interactome knowledge base

    KAUST Repository

    Theofilatos, Konstantinos A.

    2012-01-01

    Proteins and their interactions are considered to play a significant role in many cellular processes. The identification of Protein-Protein interactions (PPIs) in human is an open research area. Many Databases, which contain information about experimentally and computationally detected human PPIs as well as their corresponding annotation data, have been developed. However, these databases contain many false positive interactions, are partial and only a few of them incorporate data from various sources. To overcome these limitations, we have developed HINT-KB (http://150.140.142.24:84/Default.aspx) which is a knowledge base that integrates data from various sources, provides a user-friendly interface for their retrieval, estimates a set of features of interest and computes a confidence score for every candidate protein interaction using a modern computational hybrid methodology. © 2012 IFIP International Federation for Information Processing.

  19. Knowledge-based interpretation of cranial MR images

    International Nuclear Information System (INIS)

    Kuhn, M.H.; Menhardt, W.; Schmidt, K.H.

    1987-01-01

    A computerized system is described that can be used to evaluate an MR tomogram automatically to support clinical identification of anatomic and pathologic structures and to aid in planning MR measurements. Knowledge from three domains is used for the interpretation of an MR image: nosologic knowledge, knowledge of MR imaging parameters, and anatomic and morphologic knowledge. Nosologic information is used to generate hypotheses about possible pathologies and their locations, based on the signs and symptoms of the patient. With this information, a sequence of interpretation modules, each able to detect substructures in already detected structures with the aid of techniques from image processing, pattern recognition, and artificial intelligence, is generated and executed

  20. KBTAC: EPRI's center to assist the nuclear industry to apply the knowledge-based technology

    International Nuclear Information System (INIS)

    Lin, Chinglu; Naser, J.A.; Sun, B.K.H.

    1993-01-01

    The nuclear utility industry's complex engineering and procedure systems offer many opportunities for use of the knowledge-based technology such as expert systems and neural networks. The ability of expert systems to enhance human experts makes them an important tool in the areas of engineering, operations and maintenance. However, many current industry applications are research projects or turnkey systems supplied by vendors. These often do not impart to utility technical staff a clear understanding of the capabilities of knowledge-based systems (KBS). More importantly, simply using completed applications does not meet utilities' need to acquire the capabilities to build their own knowledge-based systems. Thus, EPRI is supporting its member utilities utilization of knowledge-based technology for power plant engineering, operations, and maintenance applications through the establishment of the Knowledge-Based Technology Application Center (KBTAC)

  1. Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support

    OpenAIRE

    Mohammadhassanzadeh, Hossein; Van Woensel, William; Abidi, Samina Raza; Abidi, Syed Sibte Raza

    2017-01-01

    Background Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians? experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mech...

  2. Knowledge based development of graphic display systems

    International Nuclear Information System (INIS)

    Woods, D.D.

    1985-01-01

    Most human factors guidelines on computer display design attempt to ensure that human sensory limits are not strained or that users can potentially access data. While this is a necessary and too often an overlooked step in interface design, it does not address issues about how to use computer displays to aid human performance at domain tasks. This challenge to human factors guidance is particularly acute in complex environments such as nuclear power plants where the goal is more than a useable interface system; the interface must support effective human performance at tasks like situation assessment, fault management, problem solving and planning. Studies of human performance in complex domains reveal that human-machine performance failures can often be linked to problems in information handling - data overload, getting lost, keyhole effects, tunnel vision to name but a few. All of these information handling problems represent manifestations of an inability to find, integrate or interpret the ''right'' data at the ''right'' time, i.e., failures where critical information is not detected among the ambient data load, where critical information is not assembled from data distributed over time or over space; and where critical information is not looked for because of misunderstandings or erroneous assumptions (cf., Woods, 1985). Problems of this kind illustrate that the potential to see, read, or access data does not guarantee successful user information extraction. The result is a need for research and guidance on design for enhanced information extraction in addition to design for data availability

  3. Panorama: a targeted proteomics knowledge base.

    Science.gov (United States)

    Sharma, Vagisha; Eckels, Josh; Taylor, Greg K; Shulman, Nicholas J; Stergachis, Andrew B; Joyner, Shannon A; Yan, Ping; Whiteaker, Jeffrey R; Halusa, Goran N; Schilling, Birgit; Gibson, Bradford W; Colangelo, Christopher M; Paulovich, Amanda G; Carr, Steven A; Jaffe, Jacob D; MacCoss, Michael J; MacLean, Brendan

    2014-09-05

    Panorama is a web application for storing, sharing, analyzing, and reusing targeted assays created and refined with Skyline,1 an increasingly popular Windows client software tool for targeted proteomics experiments. Panorama allows laboratories to store and organize curated results contained in Skyline documents with fine-grained permissions, which facilitates distributed collaboration and secure sharing of published and unpublished data via a web-browser interface. It is fully integrated with the Skyline workflow and supports publishing a document directly to a Panorama server from the Skyline user interface. Panorama captures the complete Skyline document information content in a relational database schema. Curated results published to Panorama can be aggregated and exported as chromatogram libraries. These libraries can be used in Skyline to pick optimal targets in new experiments and to validate peak identification of target peptides. Panorama is open-source and freely available. It is distributed as part of LabKey Server,2 an open source biomedical research data management system. Laboratories and organizations can set up Panorama locally by downloading and installing the software on their own servers. They can also request freely hosted projects on https://panoramaweb.org , a Panorama server maintained by the Department of Genome Sciences at the University of Washington.

  4. Update Knowledge Base for Long-term Core Cooling Reliability

    International Nuclear Information System (INIS)

    Agrell, Maria; Sandervag, Oddbjoern; Amri, Abdallah; ); Bang, Young S.; Blomart, Philippe; Broecker, Annette; Pointner, Winfried; Ganzmann, Ingo; Lenogue, Bruno; Guzonas, David; Herer, Christophe; Mattei, Jean-Marie; Tricottet, Matthieu; Masaoka, Hideaki; Soltesz, Vojtech; Tarkiainen, Seppo; Ui, Atsushi; Villalba, Cristina; Zigler, Gilbert

    2013-11-01

    at that time. Subsequent to the publication of NEA/CSNI/R(95)11, a number of new issues (e.g., chemical effects, downstream effects and long-term effects) have been identified that have reopened the topic of strainer performance. This revised knowledge-base document has been developed to update the knowledge base by incorporating the considerable quantity of research completed, and the lessons learned, since 1996. It was recognized from the beginning that differences in the issue status and the methods (regulatory aspects, resolution of issues and research and development actions) used to address the strainer clogging remained a challenge, and the NEA Sump Clogging Task Team chose to focus on generic issues. The present report includes not only an update of the previous information, but also two new topics on chemical effects and downstream effects. In addition, while NEA/CSNI/R(95)11 focused on BWRs, the present update includes a significant amount of new information related to PWRs, leading in particular to a very much expanded Appendix on 'Experimental Investigations and Test Facilities'. This document was prepared by the NEA Sump Clogging Task Team

  5. [Narrative-based medicine and clinical knowledge].

    Science.gov (United States)

    Saito, Seiji

    2006-01-01

    Narrative Based Medicine (NBM) can be defined as follows; a) It views the patient's illness as an unfolding story within the wider story of the patient's life and life-world; b) It acknowledges the patient as the narrator of the story and the subject of the tale; c) It recognizes that all medical theories, hypothesis and pathophysiologies as socially constructed narratives and accepts the coexistence of multiple different narratives; d) It regards the emergence of new stories from dialogue and discourse between patients and healthcare professionals as part of the treatment. Because psychiatry is the only area of specialist medicine where talking and listening are explicitly understood to be therapeutic, NBM can be adopted an effective perspective and method in psychiatry.

  6. An Analytical Framework for Delirium Research in Palliative Care Settings: Integrated Epidemiologic, Clinician-Researcher, and Knowledge User Perspectives

    Science.gov (United States)

    Ansari, Mohammed; Hosie, Annmarie; Kanji, Salmaan; Momoli, Franco; Bush, Shirley H.; Watanabe, Sharon; Currow, David C.; Gagnon, Bruno; Agar, Meera; Bruera, Eduardo; Meagher, David J.; de Rooij, Sophia E.J.A.; Adamis, Dimitrios; Caraceni, Augusto; Marchington, Katie; Stewart, David J.

    2014-01-01

    Context Delirium often presents difficult management challenges in the context of goals of care in palliative care settings. Objectives The aim was to formulate an analytical framework for further research on delirium in palliative care settings, prioritize the associated research questions, discuss the inherent methodological challenges associated with relevant studies, and outline the next steps in a program of delirium research. Methods We combined multidisciplinary input from delirium researchers and knowledge users at an international delirium study planning meeting, relevant literature searches, focused input of epidemiologic expertise, and a meeting participant and coauthor survey to formulate a conceptual research framework and prioritize research questions. Results Our proposed framework incorporates three main groups of research questions: the first was predominantly epidemiologic, such as delirium occurrence rates, risk factor evaluation, screening, and diagnosis; the second covers pragmatic management questions; and the third relates to the development of predictive models for delirium outcomes. Based on aggregated survey responses to each research question or domain, the combined modal ratings of “very” or “extremely” important confirmed their priority. Conclusion Using an analytical framework to represent the full clinical care pathway of delirium in palliative care settings, we identified multiple knowledge gaps in relation to the occurrence rates, assessment, management, and outcome prediction of delirium in this population. The knowledge synthesis generated from adequately powered, multicenter studies to answer the framework’s research questions will inform decision making and policy development regarding delirium detection and management and thus help to achieve better outcomes for patients in palliative care settings. PMID:24726762

  7. Ambulatory orthopaedic surgery patients' knowledge with internet-based education.

    Science.gov (United States)

    Heikkinen, Katja; Leino-Kilpi, H; Salanterä, S

    2012-01-01

    There is a growing need for patient education and an evaluation of its outcomes. The aim of this study was to compare ambulatory orthopaedic surgery patients' knowledge with Internet-based education and face-to-face education with a nurse. The following hypothesis was proposed: Internet-based patient education (experiment) is as effective as face-to-face education with a nurse (control) in increasing patients' level of knowledge and sufficiency of knowledge. In addition, the correlations of demographic variables were tested. The patients were randomized to either an experiment group (n = 72) or a control group (n = 75). Empirical data were collected with two instruments. Patients in both groups showed improvement in their knowledge during their care. Patients in the experiment group improved their knowledge level significantly more in total than those patients in the control group. There were no differences in patients' sufficiency of knowledge between the groups. Knowledge was correlated especially with patients' age, gender and earlier ambulatory surgeries. As a conclusion, positive results concerning patients' knowledge could be achieved with the Internet-based education. The Internet is a viable method in ambulatory care.

  8. Knowledge-Based Reinforcement Learning for Data Mining

    Science.gov (United States)

    Kudenko, Daniel; Grzes, Marek

    Data Mining is the process of extracting patterns from data. Two general avenues of research in the intersecting areas of agents and data mining can be distinguished. The first approach is concerned with mining an agent’s observation data in order to extract patterns, categorize environment states, and/or make predictions of future states. In this setting, data is normally available as a batch, and the agent’s actions and goals are often independent of the data mining task. The data collection is mainly considered as a side effect of the agent’s activities. Machine learning techniques applied in such situations fall into the class of supervised learning. In contrast, the second scenario occurs where an agent is actively performing the data mining, and is responsible for the data collection itself. For example, a mobile network agent is acquiring and processing data (where the acquisition may incur a certain cost), or a mobile sensor agent is moving in a (perhaps hostile) environment, collecting and processing sensor readings. In these settings, the tasks of the agent and the data mining are highly intertwined and interdependent (or even identical). Supervised learning is not a suitable technique for these cases. Reinforcement Learning (RL) enables an agent to learn from experience (in form of reward and punishment for explorative actions) and adapt to new situations, without a teacher. RL is an ideal learning technique for these data mining scenarios, because it fits the agent paradigm of continuous sensing and acting, and the RL agent is able to learn to make decisions on the sampling of the environment which provides the data. Nevertheless, RL still suffers from scalability problems, which have prevented its successful use in many complex real-world domains. The more complex the tasks, the longer it takes a reinforcement learning algorithm to converge to a good solution. For many real-world tasks, human expert knowledge is available. For example, human

  9. Knowledge based economy: The role of expert diaspora

    Directory of Open Access Journals (Sweden)

    Filipović Jovan

    2012-01-01

    Full Text Available Diasporas stand out as an economic or cultural avant-garde of transformation. This is especially true for academic and other intellectual Diaspora communities, because science and knowledge creation are global enterprises. Proclivity of knowledge workers to move in order to improve and absorb transnational knowledge through Diaspora networks might be an essential quality of an emerging national economy of a developing country. The article treats the role of expert Diaspora in knowledge based economy, innovation and talent management. Besides presenting the essentials of knowledge based economy and innovation, it discusses the role of expert Diaspora in science, technology and innovation (STI capacity building. Also, the article emphasizes the importance of leadership for talent and its implications for Diaspora. Using WEF statistics, it illustrates negative consequences of the sad policy of “Chaseaway the brightest and the best” for innovative capacity, competitiveness, and prosperity of nations.

  10. Integrating ICT in Agriculture for Knowledge-Based Economy

    African Journals Online (AJOL)

    agriculture –based livelihoods, demands the integration of ICT knowledge with agriculture. .... (CGIAR) shows the vital role of Agricultural development in Rwanda's ... Network, Rwanda National Backbone Project, Regional Communication.

  11. Knowledge-Base Application to Ground Moving Target Detection

    National Research Council Canada - National Science Library

    Adve, R

    2001-01-01

    This report summarizes a multi-year in-house effort to apply knowledge-base control techniques and advanced Space-Time Adaptive Processing algorithms to improve detection performance and false alarm...

  12. Enhancing acronym/abbreviation knowledge bases with semantic information.

    Science.gov (United States)

    Torii, Manabu; Liu, Hongfang

    2007-10-11

    In the biomedical domain, a terminology knowledge base that associates acronyms/abbreviations (denoted as SFs) with the definitions (denoted as LFs) is highly needed. For the construction such terminology knowledge base, we investigate the feasibility to build a system automatically assigning semantic categories to LFs extracted from text. Given a collection of pairs (SF,LF) derived from text, we i) assess the coverage of LFs and pairs (SF,LF) in the UMLS and justify the need of a semantic category assignment system; and ii) automatically derive name phrases annotated with semantic category and construct a system using machine learning. Utilizing ADAM, an existing collection of (SF,LF) pairs extracted from MEDLINE, our system achieved an f-measure of 87% when assigning eight UMLS-based semantic groups to LFs. The system has been incorporated into a web interface which integrates SF knowledge from multiple SF knowledge bases. Web site: http://gauss.dbb.georgetown.edu/liblab/SFThesurus.

  13. Knowledge Management for Large Scale Condition Based Maintenance

    Data.gov (United States)

    National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...

  14. Community Based Health Insurance Knowledge and Willingness to ...

    African Journals Online (AJOL)

    Community Based Health Insurance Knowledge and Willingness to Pay; A Survey of a Rural Community in ... Journal Home > Vol 6, No 1 (2012) > ... and is the most appropriate insurance model for rural areas where incomes are unstable.

  15. The aptness of knowledge related metaphors: a research agenda

    NARCIS (Netherlands)

    Dr. Daan Andriessen

    2010-01-01

    Metaphors are common phenomena intellectual capital and knowledge management theories and practice. An important question to ask is: what are the ‗best‘ metaphors we can use in our theorizing on intellectual capital and knowledge management? This paper addresses the question of the aptness of

  16. Exploring a Knowledge-focused Trajectory for Researching ...

    African Journals Online (AJOL)

    The paper draws on social realist curriculum theory, underpinned by critical realism. This theoretical perspective, which includes Bernstein's pedagogic device and particularly recontextualisation of knowledge across the pedagogical landscape, provides a language of description for critically reviewing knowledge and ...

  17. Process fault diagnosis using knowledge-based systems

    International Nuclear Information System (INIS)

    Sudduth, A.L.

    1991-01-01

    Advancing technology in process plants has led to increased need for computer based process diagnostic systems to assist the operator. One approach to this problem is to use an embedded knowledge based system to interpret measurement signals. Knowledge based systems using only symptom based rules are inadequate for real time diagnosis of dynamic systems; therefore a model based approach is necessary. Though several forms of model based reasoning have been proposed, the use of qualitative causal models incorporating first principles knowledge of process behavior structure, and function appear to have the most promise as a robust modeling methodology. In this paper the structure of a diagnostic system is described which uses model based reasoning and conventional numerical methods to perform process diagnosis. This system is being applied to emergency diesel generator system in nuclear stations

  18. A knowledge management-based intranet: asset or EBM liability?

    Science.gov (United States)

    Mimnagh, Christopher

    2005-01-01

    This paper summarises the presentation given at the British Computer Society Primary Health Care Specialist Group annual conference 2004. It outlines the four years of experience gained in implementing a knowledge management-based intranet across a local health community. Consideration is given to definitions of knowledge management and evidence-based medicine. The paper outlines the potential impacts and actual results over the four-year period, with reference to the wider issues involved.

  19. A relational data-knowledge base system and its potential in developing a distributed data-knowledge system

    Science.gov (United States)

    Rahimian, Eric N.; Graves, Sara J.

    1988-01-01

    A new approach used in constructing a rational data knowledge base system is described. The relational database is well suited for distribution due to its property of allowing data fragmentation and fragmentation transparency. An example is formulated of a simple relational data knowledge base which may be generalized for use in developing a relational distributed data knowledge base system. The efficiency and ease of application of such a data knowledge base management system is briefly discussed. Also discussed are the potentials of the developed model for sharing the data knowledge base as well as the possible areas of difficulty in implementing the relational data knowledge base management system.

  20. Nonlinear Knowledge in Kernel-Based Multiple Criteria Programming Classifier

    Science.gov (United States)

    Zhang, Dongling; Tian, Yingjie; Shi, Yong

    Kernel-based Multiple Criteria Linear Programming (KMCLP) model is used as classification methods, which can learn from training examples. Whereas, in traditional machine learning area, data sets are classified only by prior knowledge. Some works combine the above two classification principle to overcome the defaults of each approach. In this paper, we propose a model to incorporate the nonlinear knowledge into KMCLP in order to solve the problem when input consists of not only training example, but also nonlinear prior knowledge. In dealing with real world case breast cancer diagnosis, the model shows its better performance than the model solely based on training data.

  1. A Structural Equation Model of Knowledge Management Based On Organizational Climate in Universities

    OpenAIRE

    F. Nazem; M. Mozaiini; A. Seifi

    2014-01-01

    The purpose of the present study was to provide a structural model of knowledge management in universities based on organizational climate. The population of the research included all employees of Islamic Azad University (IAU). The sample consisted of 1590 employees selected using stratified and cluster random sampling method. The research instruments were two questionnaires which were administered in 78 IAU branches and education centers: Sallis and Jones’s (2002) Knowledge Management Questi...

  2. An Ontology-Based Knowledge Modelling for a Sustainability Assessment Domain

    Directory of Open Access Journals (Sweden)

    Agnieszka Konys

    2018-01-01

    Full Text Available Sustainability assessment has received more and more attention from researchers and it offers a large number of opportunities to measure and evaluate the level of its accomplishment. However, proper selection of a particular sustainability assessment approach, reflecting problem properties and the evaluator’s preferences, is a complex and important issue. Due to an existing number of different approaches dedicated to assessing, supporting, or measuring the level of sustainability and their structure oriented on the particular domain usage, problems with accurate matching frequently occur. On the other hand, the efficiency of sustainability assessment depends on the available knowledge of the ongoing capabilities. Additionally, actual research trends confirm that knowledge engineering gives a method to handle domain knowledge practically and effectively. Unfortunately, literature studies confirm that there is a lack of knowledge systematization in the sustainability assessment domain, however. The practical application of knowledge-based mechanisms may cover this gap. In this paper, we provide formal, practical and technological guidance to a knowledge management-based approach to sustainability assessment. We propose ontology as a form of knowledge conceptualization and using knowledge engineering, we make gathered knowledge publicly available and reusable, especially in terms of interoperability of collected knowledge.

  3. Dacfood: a knowledge-based system for decision support in case of radiological contamination of foodstuffs

    International Nuclear Information System (INIS)

    Diaz, A.; Despres, A.; Soulatges, D.

    1991-01-01

    In case of radiological contamination of foodstuffs, the introduction of a countermeasure has to be justified by balancing its advantages and drawbacks, as recommended by ICRP. Also, to provide authorities with information about the decision context, it has been decided to develop a Decision Support System (DSS). A knowledge-based approach is used for the DSS. Indeed, it allows: . better modelling thanks to, for instance, object oriented programming and rules, . ability to introduce more knowledge thanks to an easier consistency and validity control of the knowledge base, . handling of uncertainties (incomplete, uncertain or evolving knowledge). The present state of the system is presented. DACFOOD is a decision aiding system for contamined foodstuffs, based on a knowledge-based approach. A demonstration model has been developed in a post-Chernobyl CEC research program. It evaluates the sanitary situation, the alternative actions through costs and sanitary effects, and gives information on the decisional background

  4. From Data to Knowledge: GEOSS experience and the GEOSS Knowledge Base contribution to the GCI

    Science.gov (United States)

    Santoro, M.; Nativi, S.; Mazzetti, P., Sr.; Plag, H. P.

    2016-12-01

    According to systems theory, data is raw, it simply exists and has no significance beyond its existence; while, information is data that has been given meaning by way of relational connection. The appropriate collection of information, such that it contributes to understanding, is a process of knowledge creation.The Global Earth Observation System of Systems (GEOSS) developed by the Group on Earth Observations (GEO) is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors. GEOSS links these systems to strengthen the monitoring of the state of the Earth. In the past ten years, the development of GEOSS has taught several lessons dealing with the need to move from (open) data to information and knowledge sharing. Advanced user-focused services require to move from a data-driven framework to a knowledge sharing platform. Such a platform needs to manage information and knowledge, in addition to datasets linked to them. For this scope, GEO has launched a specific task called "GEOSS Knowledge Base", which deals with resources, like user requirements, Sustainable Development Goals (SDGs), observation and processing ontologies, publications, guidelines, best practices, business processes/algorithms, definition of advanced concepts like Essential Variables (EVs), indicators, strategic goals, etc. In turn, information and knowledge (e.g. guidelines, best practices, user requirements, business processes, algorithms, etc.) can be used to generate additional information and knowledge from shared datasets. To fully utilize and leverage the GEOSS Knowledge Base, the current GEOSS Common Infrastructure (GCI) model will be extended and advanced to consider important concepts and implementation artifacts, such as data processing services and environmental/economic models as well as EVs, Primary Indicators, and SDGs. The new GCI model

  5. [Adolescents as research subjects and free informed consent: knowledge and opinion of researchers and adolescents].

    Science.gov (United States)

    Guariglia, Fabiana; Bento, Silvana Ferreira; Hardy, Ellen

    2006-01-01

    This article presents the results of a study that evaluated the knowledge and opinions of researchers and adolescents that served as their research subjects on the legal norms that regulate the participation of the latter as research subjects, the capacity of adolescents to make autonomous decisions regarding participation, and the adolescent experience after agreeing to take part in a study. This was a qualitative study with a convenience sample, the size of which was defined by the criteria of informational redundancy. Interviews were conducted with three researchers who had used adolescents as research subjects and nine of these subjects. This number of interviews was sufficient to reach informational redundancy. Data was collected through recorded semi-structured interviews, with open questions. All the researchers were familiar with some legal document related to the participation of adolescents as subjects of research. On the other hand, the adolescents were surprised because they were not aware of the existence of such documents. However, they considered them necessary for their own protection. In general, researchers and adolescents believe that adolescents have the capacity to decide autonomously to participate as research subjects. The adolescents affirmed that they had decided to volunteer conscientiously.

  6. The Latent Structure of Secure Base Script Knowledge

    Science.gov (United States)

    Waters, Theodore E. A.; Fraley, R. Chris; Groh, Ashley M.; Steele, Ryan D.; Vaughn, Brian E.; Bost, Kelly K.; Veríssimo, Manuela; Coppola, Gabrielle; Roisman, Glenn I.

    2015-01-01

    There is increasing evidence that attachment representations abstracted from childhood experiences with primary caregivers are organized as a cognitive script describing secure base use and support (i.e., the "secure base script"). To date, however, the latent structure of secure base script knowledge has gone unexamined--this despite…

  7. Knowledge based support for multiagent control and automation

    DEFF Research Database (Denmark)

    Saleem, Arshad; Lind, Morten

    2011-01-01

    This paper presents a mechanism for developing knowledge based support in multiagent based control and diagnosis. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism have been used...

  8. Knowledge Management in the Project Life Cycle - Initial Research on Polish Smes

    Directory of Open Access Journals (Sweden)

    Łapuńka Iwona

    2014-12-01

    Full Text Available Contemporary organizations run their activities in an environment, which might be defined as fully uncertain and turbulent. Due to variations that occur in the surrounding environment, an increased attention of management practitioners and theoreticians is paid to new management concepts frequently in an integrated version. The authors express a deep belief that consolidation of approaches to project management and knowledge management constitutes a response to challenge for modern organizations. Research into the issue was based on an attempt to determine significance of the knowledge management issue in a life of projects performed by Polish small and medium-sized enterprises (SMEs. Systemizing of desired knowledge management results in a project, from the point of view of its crucial success factors, is essentially substantiated in providing success of projects performed.

  9. EVALUATING HUMAN CAPITAL IN A KNOWLEDGEBASED APPROACH

    Directory of Open Access Journals (Sweden)

    Emanoil MUSCALU

    2014-04-01

    Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.

  10. How do health professionals acknowledge Web-based knowledge in pregnancy consultations?

    Science.gov (United States)

    Fredriksen, Eva Haukeland; Moland, Karen Marie; Harris, Janet

    2018-01-09

    Websites for pregnancy health are an important source of information for pregnant women, but how different cadres of health professionals value and utilize pregnant women's e-health literacy (e-HL) and Web-based knowledge in pregnancy consultations is not well understood. Using a qualitative research design and pelvic girdle pain as a tracer condition, we explored how Norwegian doctors, midwives and physiotherapists manage women's e-HL and Web-based knowledge in pregnancy consultations. The recognition of pregnant women's e-HL and Web-based knowledge differed across professional groups and produced dismissive, reactive and proactive attitudes depending on time pressure, professional identity and Internet experience.

  11. Deriving evaluation indicators for knowledge transfer and dialogue processes in the context of climate research

    Science.gov (United States)

    Treffeisen, Renate; Grosfeld, Klaus; Kuhlmann, Franziska

    2017-12-01

    Knowledge transfer and dialogue processes in the field of climate science have captured intensive attention in recent years as being an important part of research activities. Therefore, the demand and pressure to develop a set of indicators for the evaluation of different activities in this field have increased, too. Research institutes are being asked more and more to build up structures in order to map these activities and, thus, are obliged to demonstrate the success of these efforts. This paper aims to serve as an input to stimulate further reflection on the field of evaluation of knowledge transfer and dialogue processes in the context of climate sciences. The work performed in this paper is embedded in the efforts of the German Helmholtz Association in the research field of earth and environment and is driven by the need to apply suitable indicators for knowledge transfer and dialogue processes in climate research center evaluations. We carry out a comparative analysis of three long-term activities and derive a set of indicators for measuring their output and outcome by balancing the wide diversity and range of activity contents as well as the different tools to realize them. The case examples are based on activities which are part of the regional Helmholtz Climate Initiative Regional Climate Change (REKLIM) and the Climate Office for Polar Regions and Sea Level Rise at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research. Both institutional units have been working on a wide range of different knowledge transfer and dialogue processes since 2008/2009. We demonstrate that indicators for the evaluation must be based on the unique objectives of the individual activities and the framework they are embedded in (e.g., research foci which provide the background for the performed knowledge transfer and dialogue processes) but can partly be classified in a principle two-dimensional scheme. This scheme might serve as a usable basis for climate

  12. Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

    Science.gov (United States)

    McCoy, A B; Wright, A; Krousel-Wood, M; Thomas, E J; McCoy, J A; Sittig, D F

    2015-01-01

    Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging. We sought to validate a previously developed crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large, non-university health care system with a widely used, commercially available electronic health record. We first retrieved medications and problems entered in the electronic health record by clinicians during routine care during a six month study period. Following the previously published approach, we calculated the link frequency and link ratio for each pair then identified a threshold cutoff for estimated problem-medication pair appropriateness through clinician review; problem-medication pairs meeting the threshold were included in the resulting knowledge base. We selected 50 medications and their gold standard indications to compare the resulting knowledge base to the pilot knowledge base developed previously and determine its recall and precision. The resulting knowledge base contained 26,912 pairs, had a recall of 62.3% and a precision of 87.5%, and outperformed the pilot knowledge base containing 11,167 pairs from the previous study, which had a recall of 46.9% and a precision of 83.3%. We validated the crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large non-university health care system with a widely used, commercially available electronic health record, indicating that the approach may be generalizable across healthcare settings and clinical systems. Further research is necessary to better evaluate the knowledge, to compare crowdsourcing with other approaches, and to evaluate if incorporating the knowledge into electronic health records improves patient outcomes.

  13. Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs

    Science.gov (United States)

    Wright, A.; Krousel-Wood, M.; Thomas, E. J.; McCoy, J. A.; Sittig, D. F.

    2015-01-01

    Summary Background Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging. Objective We sought to validate a previously developed crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large, non-university health care system with a widely used, commercially available electronic health record. Methods We first retrieved medications and problems entered in the electronic health record by clinicians during routine care during a six month study period. Following the previously published approach, we calculated the link frequency and link ratio for each pair then identified a threshold cutoff for estimated problem-medication pair appropriateness through clinician review; problem-medication pairs meeting the threshold were included in the resulting knowledge base. We selected 50 medications and their gold standard indications to compare the resulting knowledge base to the pilot knowledge base developed previously and determine its recall and precision. Results The resulting knowledge base contained 26,912 pairs, had a recall of 62.3% and a precision of 87.5%, and outperformed the pilot knowledge base containing 11,167 pairs from the previous study, which had a recall of 46.9% and a precision of 83.3%. Conclusions We validated the crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large non-university health care system with a widely used, commercially available electronic health record, indicating that the approach may be generalizable across healthcare settings and clinical systems. Further research is necessary to better evaluate the knowledge, to compare crowdsourcing with other approaches, and to evaluate if incorporating the knowledge into electronic health records improves patient outcomes. PMID:26171079

  14. Facilitating knowledge transfer between researchers and wildfire practitioners about trust: An international case study

    Science.gov (United States)

    Tara K. McGee; Allan Curtis; Bonita L. McFarlane; Bruce Shindler; Amy Christianson; Christine Olsen; Sarah M. McCaffrey

    2016-01-01

    The importance of knowledge transfer between researchers, policy makers and practitioners is widely recognized. However, barriers to knowledge transfer can make it difficult for practitioners to apply the results of scientific research. This paper describes a project that addressed barriers to knowledge transfer by involving wildfire management practitioners from three...

  15. Knowledge Sharing among Academics in Institutions of Higher Learning: A Research Agenda

    Science.gov (United States)

    Ramayah, T.; Ignatius, Joshua; Leen, Jasmine Yeap Ai

    2009-01-01

    This paper presents a research agenda for a funded research project on knowledge sharing among academics in Malaysia. One of the main objectives is to develop validate and measure of knowledge sharing which is suitable for academicians. Previous studies on knowledge sharing have used standard measurement items which do not cater for the multiple…

  16. Knowledge Base Applications to Adaptive Space-Time Processing, Volume 5: Knowledge-Based Tracker Rule Book

    National Research Council Canada - National Science Library

    Morgan, Charles

    2001-01-01

    ... processing algorithm can be applied. The proactive knowledge-based tracker uses information from other sources such as digital terrain maps, radar clutter and interference maps, and target priority assessments to determine the nature...

  17. Exploring a Knowledge-focused Trajectory for Researching ...

    African Journals Online (AJOL)

    critically reviewing knowledge and environmental learning. In particular ... inclusive and national curriculum set the scene for mainstreaming ..... in six Foundation Phase classrooms, she identified a number of specific 'modes of enquiry' used.

  18. How Do Trend Researchers Conduct Research? The Production of Knowledge in a Controversial Field

    Directory of Open Access Journals (Sweden)

    Michaela Pfadenhauer

    2004-05-01

    Full Text Available The planned research project described in this article focuses on the methods of trend research—not only in a narrow literal sense of techniques of data collection and data evaluation but also in a broader understanding of the logic of knowledge production in this controversial field. Initially trend research can be appointed between market research on the one hand and futurology on the other hand. Criticism regarding trend research as well as its innovative potential is also mentioned. Following the recent studies, trend research is conceived as application-oriented research in a broad sense. As far as the methodology is concerned, the proposed study promises to be an empirically-founded contribution by integrating analysis from sources such as explorative and focused conversations, observations and expert interviews. The study uses the example of trend research and asks the question how research is actually "done" and if it is application oriented or not. URN: urn:nbn:de:0114-fqs0402366

  19. Knowledge-based biomedical word sense disambiguation: comparison of approaches

    Directory of Open Access Journals (Sweden)

    Aronson Alan R

    2010-11-01

    Full Text Available Abstract Background Word sense disambiguation (WSD algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature. Statistical learning approaches have produced good results, but the size of the UMLS makes the production of training data infeasible to cover all the domain. Methods We present research on existing WSD approaches based on knowledge bases, which complement the studies performed on statistical learning. We compare four approaches which rely on the UMLS Metathesaurus as the source of knowledge. The first approach compares the overlap of the context of the ambiguous word to the candidate senses based on a representation built out of the definitions, synonyms and related terms. The second approach collects training data for each of the candidate senses to perform WSD based on queries built using monosemous synonyms and related terms. These queries are used to retrieve MEDLINE citations. Then, a machine learning approach is trained on this corpus. The third approach is a graph-based method which exploits the structure of the Metathesaurus network of relations to perform unsupervised WSD. This approach ranks nodes in the graph according to their relative structural importance. The last approach uses the semantic types assigned to the concepts in the Metathesaurus to perform WSD. The context of the ambiguous word and semantic types of the candidate concepts are mapped to Journal Descriptors. These mappings are compared to decide among the candidate concepts. Results are provided estimating accuracy of the different methods on the WSD test collection available from the NLM. Conclusions We have found that the last approach achieves better results compared to the other methods. The graph-based approach, using the structure of the Metathesaurus network to estimate the relevance of the Metathesaurus concepts, does not perform well

  20. Automated extraction of knowledge for model-based diagnostics

    Science.gov (United States)

    Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.

    1990-01-01

    The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.