ROMANIA AND THE KNOWLEDGE-BASED ECONOMY: INNOVATION THE SOURCE OF ECONOMIC GROWTH

OpenAIRE

Holban (Oncioiu) Ionica; Oncioiu Florin Razvan

2008-01-01

The is already a vast literature on the role of knowledge in economic growth butthere is need to clarify the meaning and scope of this term and define the Romanianperspective on the relationship between knowledge-based economy and growth. This paper focuses on innovation systems in Romania as the key challenge and meanfor embracing growth based on knowledge-based economy.

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

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,…

Exploring relation types for literature-based discovery.

Science.gov (United States)

Preiss, Judita; Stevenson, Mark; Gaizauskas, Robert

2015-09-01

Literature-based discovery (LBD) aims to identify "hidden knowledge" in the medical literature by: (1) analyzing documents to identify pairs of explicitly related concepts (terms), then (2) hypothesizing novel relations between pairs of unrelated concepts that are implicitly related via a shared concept to which both are explicitly related. Many LBD approaches use simple techniques to identify semantically weak relations between concepts, for example, document co-occurrence. These generate huge numbers of hypotheses, difficult for humans to assess. More complex techniques rely on linguistic analysis, for example, shallow parsing, to identify semantically stronger relations. Such approaches generate fewer hypotheses, but may miss hidden knowledge. The authors investigate this trade-off in detail, comparing techniques for identifying related concepts to discover which are most suitable for LBD. A generic LBD system that can utilize a range of relation types was developed. Experiments were carried out comparing a number of techniques for identifying relations. Two approaches were used for evaluation: replication of existing discoveries and the "time slicing" approach.(1) RESULTS: Previous LBD discoveries could be replicated using relations based either on document co-occurrence or linguistic analysis. Using relations based on linguistic analysis generated many fewer hypotheses, but a significantly greater proportion of them were candidates for hidden knowledge. The use of linguistic analysis-based relations improves accuracy of LBD without overly damaging coverage. LBD systems often generate huge numbers of hypotheses, which are infeasible to manually review. Improving their accuracy has the potential to make these systems significantly more usable. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Development of Evidence-Based Disease Education Literature for Pakistani Rheumatoid Arthritis Patients

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Atta Abbas Naqvi

2017-11-01

Full Text Available Rheumatoid arthritis affects 0.5% to 1% of the population globally and is one of the most common causes of disability. Patient education plays a key role in improving treatment outcomes. The purpose of this study was to discuss the process involved in designing an evidence-based disease education literature for rheumatoid arthritis patients of Pakistan in Urdu language with culturally relevant illustrations. A study was conducted to develop disease education literature using Delphi consensus, content validity, and patient feedback. A panel of experts comprised of university professors and health care experts, including health practitioners and pharmacists as well as a social scientist, was set up to assess the need. Eight patients were randomly selected and were asked to give their feedback. Their feedback was incorporated in the development process. The entire process was carried out in eight steps. A disease education literature for patients of rheumatoid arthritis was developed and edited in the form of a booklet. The booklet contained evidence-based information that must be provided to patients in both Urdu and English languages with culturally relevant illustrations. The availability of such literature is significant, as it enables the patients to seek knowledge at home at their convenience. This home-based knowledge support is as helpful as any other means of medical care. The developed literature is planned to be used in further studies which will evaluate its impact in improving knowledge of RA patients.

Multi-label literature classification based on the Gene Ontology graph

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Lu Xinghua

2008-12-01

Full Text Available Abstract Background The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of text mining approaches to facilitate the process by automatically extracting the Gene Ontology annotation from literature. The task is usually cast as a text classification problem, and contemporary methods are confronted with unbalanced training data and the difficulties associated with multi-label classification. Results In this research, we investigated the methods of enhancing automatic multi-label classification of biomedical literature by utilizing the structure of the Gene Ontology graph. We have studied three graph-based multi-label classification algorithms, including a novel stochastic algorithm and two top-down hierarchical classification methods for multi-label literature classification. We systematically evaluated and compared these graph-based classification algorithms to a conventional flat multi-label algorithm. The results indicate that, through utilizing the information from the structure of the Gene Ontology graph, the graph-based multi-label classification methods can significantly improve predictions of the Gene Ontology terms implied by the analyzed text. Furthermore, the graph-based multi-label classifiers are capable of suggesting Gene Ontology annotations (to curators that are closely related to the true annotations even if they fail to predict the true ones directly. A software package implementing the studied algorithms is available for the research community. Conclusion Through utilizing the information from the structure of the Gene Ontology graph, the graph-based multi-label classification methods have better potential than the conventional flat multi-label classification approach to facilitate

Implementation of knowledge-based engineering methodology in hydraulic generator design

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Wei Guo

2015-05-01

Full Text Available Hydraulic generator design companies are always being exhorted to become more competitive by reducing the lead time and costs for their products for survival. Knowledge-based engineering technology is a rapidly developing technology with competitive advantage for design application to reduce time and cost in product development. This article addresses the structure of the hydraulic generator design system based on the knowledge-based engineering technology in detail. The system operates by creating a unified knowledge base to store the scattered knowledge among the whole life of the design process, which was contained in the expert’s brain and technical literature. It helps designers to make appropriate decisions by supplying necessary information at the right time through query and inference engine to represent the knowledge within the knowledge-based engineering application framework. It also integrates the analysis tools into one platform to help achieve global optimum solutions. Finally, an example of turbine-type selection was given to illustrate the operation process and prove its validity.

Using concepts in literature-based discovery : Simulating Swanson's Raynaud-fish oil and migraine-magnesium discoveries

NARCIS (Netherlands)

Weeber, M; Klein, Henny; de Jong-van den Berg, LTW; Vos, R

Literature-based discovery has resulted in new knowledge. In the biomedical context, Don R. Swanson has generated several literature-based hypotheses that have been corroborated experimentally and clinically. In this paper, we propose a two-step model of the discovery process in which hypotheses are

Analysis of a Knowledge-Management-Based Process of Transferring Project Management Skills

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Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko

2012-01-01

Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…

Knowledge Management and World Class Manufacturing: an initial approach based on a literature review

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Rafael de Carvalho Mendes

Full Text Available ABSTRACT This paper presents the partial results of an ongoing research on the proposal of a methodology for the integration between Knowledge Management (KM and World Class Manufacturing (WCM. The initial investigation of theoretical and conceptual nature aimed at developing a comprehensive and current vision on KM, WCM, and how (or "whether" these constructs relate to one another. The primary sources for the literature review were Web of Science, Scopus, Emerald, Ebsco, SciELO and Spell, and the time frame was 2000 to 2016. The analysis of the selected papers showed that, although the initial WCM model evolved into a "new WCM" in the 2000s, the literature is still focused on the broad conceptual aspects and basic methods and tools, such as Total Quality Process, Total Productive Maintenance and Just-in-Time, conceived in the Toyota Production System, which shows the need for more studies focused on the current scenario of companies associated with the "new WCM" and its Methods and Tools. Only one article explicitly addressing the interaction between KM theories with WCM was found in the databases surveyed, thus reinforcing the lack of theoretical approximation of these constructs.

Towards Knowledge Sharing Through Social Media in Software Development: A Systematic Literature Review

DEFF Research Database (Denmark)

Sarka, Peter Bo; Heisig, Peter

2015-01-01

An effective knowledge exchange among software developers is crucial for the competitive performance of their organisations. Today, the constant pressure on business to continually innovate and the increasing capability of information technologies to facilitate broader and more distributed....... Although several studies of the relationship is available, today there exists no comprehensive overview of what has been investigated. Using a systematic literature review approach, this study aims to map the current state of literature on knowledge sharing through social media applicable to software...

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.

The Patent Literature As A Shortcut To Identify Knowledge Suppliers

DEFF Research Database (Denmark)

Søberg, Peder Veng

patents which decreases the time span between a patent is filed and its value can be evaluated when searching the patent literature. A potential benefit thereof could be that the patent literature could become relevant in order to identify potential knowledge suppliers.......The present paper explores characteristics of valuable patents that have been subject to litigation which resulted in some of the largest fines to patent infringers reported in history. The valuable patents are compared with less valuable patents in order to identify new methods of evaluating...

A literature-based approach to annotation and browsing of Web resources

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Miguel A. Sicilia

2003-01-01

Full Text Available The emerging Semantic Web technologies critically depend on the availability of shared knowledge representations called ontologies, which are intended to encode consensual knowledge about specific domains. Currently, the proposed processes for building and maintaining those ontologies entail the joint effort of groups of representative domain experts, which can be expensive in terms of co-ordination and in terms of time to reach consensus.In this paper, literature-based ontologies, which can be initially developed by a single expert and maintained continuously, are proposed as preliminary alternatives to group-generated domain ontologies, or as early versions for them. These ontologies encode domain knowledge in the form of terms and relations along with the (formal or informal bibliographical resources that define or deal with them, which makes them specially useful for domains in which a common terminology or jargon is not soundly established. A general-purpose metamodelling framework for literature-based ontologies - which has been used in two concrete domains - is described, along with a proposed methodology and a specific resource annotation approach. In addition, the implementation of an RDF-based Web resource browser - that uses the ontologies to guide the user in the exploration of a corpus of digital resources- is presented as a proof of concept.

A selective review of knowledge-based approaches to database design

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Shahrul Azman Noah

1995-01-01

Full Text Available The inclusion of real world knowledge or specialised knowledge has not been addressed by the majority of the systems reviewed. ODA has real world knowledge provided by using a thesaurus-type structure to represent generic models. Only NITDT includes the specialised knowledge in its knowledge base. NITDT classified its knowledge into application specific, domain specific and general knowledge. However the literature does not discuss in detail how this knowledge is applied during the design session. One of the key factors that distinguish computer-based expert systems from human experts is that the latter apply not only their specialised expertise to a problem but also their general knowledge of the world. NITDT is the only system reviewed here that holds any form of internal domain specific knowledge, which can be easily augmented, enriched and updated, as required. This knowledge allows the designer to be an active participant along with the user in the design process and significantly eases the user task. The inclusion of real world knowledge and specialised knowledge is an area that must be further addressed before intelligent tools are able to offer a realistic level of assistance to the human designers.

Upgrading of Symbolic and Synthetic Knowledge Bases: Evidence from the Chinese Automotive and Construction Industries

NARCIS (Netherlands)

E. van Tuijl (Erwin); K. Dittrich (Koen); J. van der Borg (Jan)

2016-01-01

textabstractThis paper deals with the question of how upgrading of the symbolic and synthetic knowledge bases takes place and, by doing so, we contribute to the upgrading literature by linking upgrading with the concept of the differentiated knowledge bases. We discern a number of upgrading

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

OpenAIRE

Piera Centobelli; Roberto Cerchione; Emilio Esposito

2017-01-01

This paper conducts a systematic literature review on knowledge management (KM) in the context of startups in order to analyze the state of the art, identify research gaps and define a future research agenda. The main findings highlight that, even though there is an increasing number of papers on the topic of KM in startups, several issues are still neglected. Specifically, the paper identifies four main gaps in the body of literature. The first gap deals with the environmental and socio-poli...

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

KNOWLEDGE MANAGEMENT TOOLS FOR THE EUROPEAN KNOWLEDGE BASED SOCIETY

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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.

Nurses' knowledge and skill retention following cardiopulmonary resuscitation training: a review of the literature.

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Hamilton, Rosemary

2005-08-01

This paper reports a literature review examining factors that enhance retention of knowledge and skills during and after resuscitation training, in order to identify educational strategies that will optimize survival for victims of cardiopulmonary arrest. Poor knowledge and skill retention following cardiopulmonary resuscitation training for nursing and medical staff has been documented over the past 20 years. Cardiopulmonary resuscitation training is mandatory for nursing staff and is important as nurses often discover the victims of in-hospital cardiac arrest. Many different methods of improving this retention have been devised and evaluated. However, the content and style of this training lack standardization. A literature review was undertaken using the Cumulative Index to Nursing and Allied Health Literature, MEDLINE and British Nursing Index databases and the keywords 'cardiopulmonary resuscitation', 'basic life support', 'advanced life support' and 'training'. Papers published between 1992 and 2002 were obtained and their reference lists scrutinized to identify secondary references, of these the ones published within the same 10-year period were also included. Those published in the English language that identified strategies to enhance the acquisition or retention of Cardiopulmonary resuscitation skills and knowledge were included in the review. One hundred and five primary and 157 secondary references were identified. Of these, 24 met the criteria and were included in the final literature sample. Four studies were found pertaining to cardiac arrest simulation, three to peer tuition, four to video self-instruction, three to the use of different resuscitation guidelines, three to computer-based learning programmes, two to voice-activated manikins, two to automated external defibrillators, one to self-instruction, one to gaming and the one to the use of action cards. Resuscitation training should be based on in-hospital scenarios and current evidence-based

An Ontology-Based Knowledge Modelling for a Sustainability Assessment Domain

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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.

New graduate registered nurses' knowledge of patient safety and practice: A literature review.

Science.gov (United States)

Murray, Melanie; Sundin, Deborah; Cope, Vicki

2018-01-01

To critically appraise available literature and summarise evidence pertaining to the patient safety knowledge and practices of new graduate registered nurses. Responsibility for patient safety should not be limited to the practice of the bedside nurses, rather the responsibility of all in the healthcare system. Previous research identified lapses in safety across the health care, more specifically with new practitioners. Understanding these gaps and what may be employed to counteract them is vital to ensuring patient safety. A focused review of research literature. The review used key terms and Boolean operators across a 5-year time frame in CINAHL, Medline, psycINFO and Google Scholar for research articles pertaining to the area of enquiry. Eighty-four articles met the inclusion criteria, 39 discarded due to irrelevant material and 45 articles were included in the literature review. This review acknowledges that nursing has different stages of knowledge and practice capabilities. A theory-practice gap for new graduate registered nurses exists, and transition to practice is a key learning period setting new nurses on the path to becoming expert practitioners. Within the literature, there was little to no acknowledgement of patient safety knowledge of the newly registered nurse. Issues raised in the 1970s remain a concern for today's new graduate registered nurses. Research has recognised several factors affecting transition from nursing student to new graduate registered nurse. These factors are leaving new practitioners open to potential errors and risking patient safety. Understanding the knowledge of a new graduate registered nurse upon entering clinical practice may assist in organisations providing appropriate clinical and theoretical support to these nurses during their transition. © 2017 John Wiley & Sons Ltd.

SciRide Finder: a citation-based paradigm in biomedical literature search.

Science.gov (United States)

Volanakis, Adam; Krawczyk, Konrad

2018-04-18

There are more than 26 million peer-reviewed biomedical research items according to Medline/PubMed. This breadth of information is indicative of the progress in biomedical sciences on one hand, but an overload for scientists performing literature searches on the other. A major portion of scientific literature search is to find statements, numbers and protocols that can be cited to build an evidence-based narrative for a new manuscript. Because science builds on prior knowledge, such information has likely been written out and cited in an older manuscript. Thus, Cited Statements, pieces of text from scientific literature supported by citing other peer-reviewed publications, carry significant amount of condensed information on prior art. Based on this principle, we propose a literature search service, SciRide Finder (finder.sciride.org), which constrains the search corpus to such Cited Statements only. We demonstrate that Cited Statements can carry different information to this found in titles/abstracts and full text, giving access to alternative literature search results than traditional search engines. We further show how presenting search results as a list of Cited Statements allows researchers to easily find information to build an evidence-based narrative for their own manuscripts.

How Preservice Teachers Use Children’s Literature to Teach Mathematical Concepts: Focus on Mathematical Knowledge for Teaching

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Jennifer EDELMAN

2017-06-01

Full Text Available This descriptive study examines the elements of mathematical knowledge for teaching (MKT that elementary teacher candidates exhibit as they plan, teach, and reflect on a mathematics lesson that integrates children’s literature. Data for this study were gathered from observations and written work of preservice elementary teacher candidates enrolled in a methods of teaching mathematics course. The data were analyzed using three criteria: that of knowledge of content and students, knowledge of content and teaching, and knowledge of content and curriculum. The findings suggest a need for further development of teacher candidates’ ability to identify and locate mathematical concepts in children’s literature, as well as the need for supporting teacher candidates’ critical analysis of curricular materials and mathematical representations in children’s literature.

How preservice teachers use children’s literature to teach mathematical concepts: Focus on mathematical knowledge for teaching

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Jennifer Edelman

2017-06-01

Full Text Available This descriptive study examines the elements of mathematical knowledge for teaching (MKT that elementary teacher candidates exhibit as they plan, teach, and reflect on a mathematics lesson that integrates children’s literature. Data for this study were gathered from observations and written work of preservice elementary teacher candidates enrolled in a methods of teaching mathematics course. The data were analyzed using three criteria: that of knowledge of content and students, knowledge of content and teaching, and knowledge of content and curriculum. The findings suggest a need for further development of teacher candidates’ ability to identify and locate mathematical concepts in children’s literature, as well as the need for supporting teacher candidates’ critical analysis of curricular materials and mathematical representations in children’s literature.

Virk: An Active Learning-based System for Bootstrapping Knowledge Base Development in the Neurosciences

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Kyle H. Ambert

2013-12-01

Full Text Available The frequency and volume of newly-published scientific literature is quickly making manual maintenance of publicly-available databases of primary data unrealistic and costly. Although machine learning can be useful for developing automated approaches to identifying scientific publications containing relevant information for a database, developing such tools necessitates manually annotating an unrealistic number of documents. One approach to this problem, active learning, builds classification models by iteratively identifying documents that provide the most information to a classifier. Although this approach has been shown to be effective for related problems, in the context of scientific databases curation, it falls short. We present Virk, an active learning system that, while being trained, simultaneously learns a classification model and identifies documents having information of interest for a knowledge base. Our approach uses a support vector machine classifier with input features derived from neuroscience-related publications from the primary literature. Using our approach, we were able to increase the size of the Neuron Registry, a knowledge base of neuron-related information, by a factor of 90%, a knowledge base of neuron-related information, in 3 months. Using standard biocuration methods, it would have taken between 1-2 years to make the same number of contributions to the Neuron Registry. Here, we describe the system pipeline in detail, and evaluate its performance against other approaches to sampling in active learning.

Role of Knowledge Based Communities in Knowledge Process

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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.

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

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

Reengineering of MeSH thesauri for term selection to optimize literature retrieval and knowledge reconstruction in support of stem cell research.

Science.gov (United States)

Su, Yan; Andrews, James; Huang, Hong; Wang, Yue; Kong, Liangliang; Cannon, Peter; Xu, Ping

2016-05-23

PubMed is a widely used database for scientists to find biomedical-related literature. Due to the complexity of the selected research subject and its interdisciplinary nature, as well as the exponential growth in the number of disparate pieces of biomedical literature, it is an overwhelming challenge for scientists to define the right search strategies and quickly locate all related information. Specialized subsets and groupings of controlled vocabularies, such as Medical Subject Headings (MeSH), can enhance information retrieval in specialized domains, such as stem cell research. There is a need to develop effective search strategies and convenient solutions for knowledge organization in stem cell research. The understanding of the interrelationships between these MeSH terms also facilitates the building of knowledge organization systems in related subject fields. This study collected empirical data for MeSH-related terms from stem cell literature and developed a novel approach that uses both automation and expert-selection to create a set of terms that supports enhanced retrieval. The selected MeSH terms were reconstructed into a classified thesaurus that can guide researchers towards a successful search and knowledge organization of stem cell literature. First, 4253 MeSH terms were harvested from a sample of 5527 stem cell related research papers from the PubMed database. Next, unrelated terms were filtered out based on term frequency and specificity. Precision and recall measures were used to help identify additional valuable terms, which were mostly non-MeSH terms. The study identified 15 terms that specifically referred to stem cell research for information retrieval, which would yield a higher precision (97.7 %) and recall (94.4 %) rates in comparison to other approaches. In addition, 128 root MeSH terms were selected to conduct knowledge organization of stem cell research in categories of anatomy, disease, and others. This study presented a novel strategy

Developing a Deeper Understanding of Autism: Connecting Knowledge through Literature Mining

Directory of Open Access Journals (Sweden)

Marta Macedoni-Lukšič

2011-01-01

Full Text Available In the field of autism, an enormous increase in available information makes it very difficult to connect fragments of knowledge into a more coherent picture. We present a literature mining method, RaJoLink, to search for matched themes in unrelated literature that may contribute to a better understanding of complex pathological conditions, such as autism. 214 full text articles on autism, published in PubMed, served as a source of data. Using ontology construction, we identified the main concepts of what is already known about autism. Then, the RaJoLink method, based on Swanson's ABC model, was used to reveal potentially interesting, but not yet investigated, connections between different concepts in research. Among the more interesting concepts identified with RaJoLink in our study were calcineurin and NF-kappaB. Both terms can be linked to neuro-immune abnormalities in the brain of patients with autism. Further research is needed to provide stronger evidence about calcineurin and NF-kappaB involvement in autism. However, the analysis presented confirms that this method could support experts on their way towards discovering hidden relationships and towards a better understanding of the disorder.

THE ROLE OF INTELLECTUAL CAPITAL IN KNOWLEDGE - BASED SOCIETY

Directory of Open Access Journals (Sweden)

Denisa-Elena Parpandel

2013-01-01

Full Text Available In a knowledge - based society, organizations undergo permanent changes and transformations, and the key factor of such changes is intellectual capital regarded as one of the most critical, yet most strategic values an organization might own. Analyzing intelectual capital and knowledge society over the last decades has primarily emerged in private companies, whereas at present there is an increasing concern in all the fields of activity. The goal of this paper is to emphasize the importance of intellectual capital as a source of innovation and novelty used to create competitive advantages for organizations in the era of knowledge where man must rely on intellect, intuition and creativity. The present paper is an exploratory endeavour based on the qualitative method as various information sources are resorted to in order to conceptualize the terms of intellectual capital and knowledge society: specialty literature, case studies, mass-media articles, reports of in-field organizations etc. Organizations should use all the tangible or non-tangible resources they have in order to secure their success and also to build a knowledge society which involves going a long way, based on an ample, complex process where innovation has a major role and a global nature.

A collaborative knowledge management framework for supply chains: A UML-based model approach

Directory of Open Access Journals (Sweden)

Jorge Esteban Hernández

2008-12-01

Full Text Available In the most general cases, collaborative activities imply a distributed decision-making process which involves several supply chain nodes. In this paper, by means of a literature review, and by also considering the deficiencies of existing proposals, a collaborative knowledge management UML-based framework supported is proposed. In addition, this proposal synthesizes existing knowledge, and it not only fulfils, but enriches, each component with the modeller’s own knowledge.

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.

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

Does disaster education of teenagers translate into better survival knowledge, knowledge of skills, and adaptive behavioral change? A systematic literature review.

Science.gov (United States)

Codeanu, Tudor A; Celenza, Antonio; Jacobs, Ian

2014-12-01

An increasing number of people are affected worldwide by the effects of disasters, and the United Nations International Strategy for Disaster Reduction (UNISDR) has recognized the need for a radical paradigm shift in the preparedness and combat of the effects of disasters through the implementation of specific actions. At the governmental level, these actions translate into disaster and risk reduction education and activities at school. Fifteen years after the UNISDR declaration, there is a need to know if the current methods of disaster education of the teenage population enhance their knowledge, knowledge of skills in disasters, and whether there is a behavioral change which would improve their chances for survival post disaster. This multidisciplinary systematic literature review showed that the published evidence regarding enhancing the disaster-related knowledge of teenagers and the related problem solving skills and behavior is piecemeal in design, approach, and execution in spite of consensus on the detrimental effects on injury rates and survival. There is some evidence that isolated school-based intervention enhances the theoretical disaster knowledge which may also extend to practical skills; however, disaster behavioral change is not forthcoming. It seems that the best results are obtained by combining theoretical and practical activities in school, family, community, and self-education programs. There is a still a pressing need for a concerted educational drive to achieve disaster preparedness behavioral change. School leavers' lack of knowledge, knowledge of skills, and adaptive behavioral change are detrimental to their chances of survival.

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

Directory of Open Access Journals (Sweden)

Piera Centobelli

2017-03-01

Full Text Available This paper conducts a systematic literature review on knowledge management (KM in the context of startups in order to analyze the state of the art, identify research gaps and define a future research agenda. The main findings highlight that, even though there is an increasing number of papers on the topic of KM in startups, several issues are still neglected. Specifically, the paper identifies four main gaps in the body of literature. The first gap deals with the environmental and socio-political factors influencing the adoption of KM in startups. The second gap regards the lack of a comprehensive taxonomy of knowledge management systems (KMSs that may support the processes of knowledge creation, acquisition, storage, transfer, sharing and application. This second gap allows us to identify a third gap concerning the level of alignment between startup’s strategies and technologies adopted. Finally, the fourth gap deals with the issue of the impact of KM on startup’s performances with regard to economic, financial, market, technical, technological, organizational, human and relational performance. From these four gaps, six research questions (RQs have been proposed. These RQs allow us to identify possible areas of analysis to define a future research agenda. Neglecting these issues means underestimating all the possible advantages of KM adoption for a startup to achieve efficiency, effectiveness and scalability goals.

Information extraction and knowledge graph construction from geoscience literature

Science.gov (United States)

Wang, Chengbin; Ma, Xiaogang; Chen, Jianguo; Chen, Jingwen

2018-03-01

Geoscience literature published online is an important part of open data, and brings both challenges and opportunities for data analysis. Compared with studies of numerical geoscience data, there are limited works on information extraction and knowledge discovery from textual geoscience data. This paper presents a workflow and a few empirical case studies for that topic, with a focus on documents written in Chinese. First, we set up a hybrid corpus combining the generic and geology terms from geology dictionaries to train Chinese word segmentation rules of the Conditional Random Fields model. Second, we used the word segmentation rules to parse documents into individual words, and removed the stop-words from the segmentation results to get a corpus constituted of content-words. Third, we used a statistical method to analyze the semantic links between content-words, and we selected the chord and bigram graphs to visualize the content-words and their links as nodes and edges in a knowledge graph, respectively. The resulting graph presents a clear overview of key information in an unstructured document. This study proves the usefulness of the designed workflow, and shows the potential of leveraging natural language processing and knowledge graph technologies for geoscience.

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...

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...

Predicting future discoveries from current scientific literature.

Science.gov (United States)

Petrič, Ingrid; Cestnik, Bojan

2014-01-01

Knowledge discovery in biomedicine is a time-consuming process starting from the basic research, through preclinical testing, towards possible clinical applications. Crossing of conceptual boundaries is often needed for groundbreaking biomedical research that generates highly inventive discoveries. We demonstrate the ability of a creative literature mining method to advance valuable new discoveries based on rare ideas from existing literature. When emerging ideas from scientific literature are put together as fragments of knowledge in a systematic way, they may lead to original, sometimes surprising, research findings. If enough scientific evidence is already published for the association of such findings, they can be considered as scientific hypotheses. In this chapter, we describe a method for the computer-aided generation of such hypotheses based on the existing scientific literature. Our literature-based discovery of NF-kappaB with its possible connections to autism was recently approved by scientific community, which confirms the ability of our literature mining methodology to accelerate future discoveries based on rare ideas from existing literature.

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.

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....

Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.

Science.gov (United States)

Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A

2015-09-24

Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness.

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

A Guideline for Game Development-Based Learning: A Literature Review

Directory of Open Access Journals (Sweden)

Bian Wu

2012-01-01

Full Text Available This study aims at reviewing the published scientific literature on the topics of a game development-based learning (GDBL method using game development frameworks (GDFs with the perspective of (a summarizing a guideline for using GDBL in a curriculum, (b identifying relevant features of GDFs, and (c presenting a synthesis of impact factors with empirical evidence on the educational effectiveness of the GDBL method. After systematically going through the available literature on the topic, 34 relevant articles were selected for the final study. We analyzed the articles from three perspectives: (1 pedagogical context and teaching process, (2 selection of GDFs, and (3 evaluation of the GDBL method. The findings from the 34 articles suggest that GDFs have many potential benefits as an aid to teach computer science, software engineering, art design, and other fields and that such GDFs combined with the motivation from games can improve the students’ knowledge, skills, attitudes, and behaviors in contrast to the traditional classroom teaching. Furthermore, based on the results of the literature review, we extract a guideline of how to apply the GDBL method in education. The empirical evidence of current findings gives a positive overall picture and can provide a useful reference to educators, practitioners, and researchers in the area of game-based learning.

Management of Indigenous Knowledge as a Catalyst towards Improved Information Accessibility to Local Communities: A Literature R

Directory of Open Access Journals (Sweden)

Iyoro Abiodun Olaide

2013-06-01

Full Text Available This paper reviews the existing literature on how the management of indigenous knowledge could lead to its effective utilization. Indigenous knowledge is different from other types of knowledge. It could be an important tool to ensure the sustainability of societal development of local communities.

Multiculturalism in Teaching Physical Education: A Review of U.S. Based Literature

Science.gov (United States)

Choi, Wonseok; Chepyator-Thomson, Rose

2011-01-01

The purpose of this paper was to review extant literature on multicultural education in the context of teaching physical education. More specifically, the article was designed to review the literature on physical education teachers' knowledge and skills related to teaching culturally diverse students. The findings revealed teachers' knowledge and…

A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review

Directory of Open Access Journals (Sweden)

Martínez-García Ana I

2010-10-01

Full Text Available Abstract Background The health care sector is an area of social and economic interest in several countries; therefore, there have been lots of efforts in the use of electronic health records. Nevertheless, there is evidence suggesting that these systems have not been adopted as it was expected, and although there are some proposals to support their adoption, the proposed support is not by means of information and communication technology which can provide automatic tools of support. The aim of this study is to identify the critical adoption factors for electronic health records by physicians and to use them as a guide to support their adoption process automatically. Methods This paper presents, based on the PRISMA statement, a systematic literature review in electronic databases with adoption studies of electronic health records published in English. Software applications that manage and process the data in the electronic health record have been considered, i.e.: computerized physician prescription, electronic medical records, and electronic capture of clinical data. Our review was conducted with the purpose of obtaining a taxonomy of the physicians main barriers for adopting electronic health records, that can be addressed by means of information and communication technology; in particular with the information technology roles of the knowledge management processes. Which take us to the question that we want to address in this work: "What are the critical adoption factors of electronic health records that can be supported by information and communication technology?". Reports from eight databases covering electronic health records adoption studies in the medical domain, in particular those focused on physicians, were analyzed. Results The review identifies two main issues: 1 a knowledge-based classification of critical factors for adopting electronic health records by physicians; and 2 the definition of a base for the design of a conceptual

A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review.

Science.gov (United States)

Castillo, Víctor H; Martínez-García, Ana I; Pulido, J R G

2010-10-15

The health care sector is an area of social and economic interest in several countries; therefore, there have been lots of efforts in the use of electronic health records. Nevertheless, there is evidence suggesting that these systems have not been adopted as it was expected, and although there are some proposals to support their adoption, the proposed support is not by means of information and communication technology which can provide automatic tools of support. The aim of this study is to identify the critical adoption factors for electronic health records by physicians and to use them as a guide to support their adoption process automatically. This paper presents, based on the PRISMA statement, a systematic literature review in electronic databases with adoption studies of electronic health records published in English. Software applications that manage and process the data in the electronic health record have been considered, i.e.: computerized physician prescription, electronic medical records, and electronic capture of clinical data. Our review was conducted with the purpose of obtaining a taxonomy of the physicians main barriers for adopting electronic health records, that can be addressed by means of information and communication technology; in particular with the information technology roles of the knowledge management processes. Which take us to the question that we want to address in this work: "What are the critical adoption factors of electronic health records that can be supported by information and communication technology?". Reports from eight databases covering electronic health records adoption studies in the medical domain, in particular those focused on physicians, were analyzed. The review identifies two main issues: 1) a knowledge-based classification of critical factors for adopting electronic health records by physicians; and 2) the definition of a base for the design of a conceptual framework for supporting the design of knowledge-based

Publishing Not Perishing: How Research Students Transition from Novice to Knowledgeable Using Systematic Quantitative Literature Reviews

Science.gov (United States)

Pickering, Catherine; Grignon, Julien; Steven, Rochelle; Guitart, Daniela; Byrne, Jason

2015-01-01

Current understandings suggest that three aspects of writing practice underpin the research student publication process: knowledge creation, text production and identity formation. Publishing a literature review is the first opportunity most students have to publish. This article compares the pedagogical benefits of different literature review…

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.

Technological Pedagogical Content Knowledge - a review of the literature

NARCIS (Netherlands)

Voogt, Joke; Fisser, Petra; Pareja Roblin, N.N.; Tondeur, J.; van Braak, J.

2013-01-01

Technological Pedagogical Content Knowledge (TPACK) has been introduced as a conceptual framework for the knowledge base teachers need to effectively teach with technology. The framework stems from the notion that technology integration in a specific educational context benefits from a careful

Transferring Knowledge from Building Operation to Design: A literature review

DEFF Research Database (Denmark)

Rasmussen, Helle Lohmann; Jensen, Per Anker; Gregg, Jay Sterling

. Knowing that the list lacks inputs from cultural and organizational theory, the paper suggests that further research should focus on taking these suggestions to an operational level for the benefit of FM, building clients and design teams. Furthermore, it is found that major concepts that could......As a solution to the previously identified gap between expected and actual building performance, this paper investigates how knowledge can be transferred from operation to design. This is assumed to help bridge the gap and increase the performance of new built facilities. By conducting a systematic...... literature review, it is found, that the theoretical approach in the reviewed articles has a significant impact on the level of how applicable the recommendations are in practice. Furthermore, a list of identified tools to enable knowledge transfer is provided, including POE, PPP and building commissioning...

[P.A.I.S., a personal medical information system. A comprehensive medical knowledge base].

Science.gov (United States)

Münch, E

1994-06-01

The electronic medical knowledge data base DOPIS is a compliation of knowledge from various special fields of medicine. Using uniform nomenclature, the data are presented on demand as they would be in a book chapter. Concise updates can be performed at low cost. The primary structure of the concept is the division of medical knowledge into data banks on diagnosis, literature, medication and pharmacology, as well as so-called electronic textbooks. All data banks and electronic textbooks are connected associatively. Visual information is obtained via the image data bank connected to the diagnosis data bank and the electronic books. Moreover, DOPIS has an integrated patient findings system, as well as an image processing and archiving system with research values enabling research functions. The diagnosis and literature data banks can be modified by the user or author, or fed with their own data (a so-called Expert System Shell). For authors from special fields working on the project, an extra Medical Electronic Publishing System has been developed and made available for the electronic textbooks. The model for the knowledge data base has been developed in the field of ENT, the programme implemented and initially ENT data have been stored.

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.

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...

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.

Technological Pedagogical Content Knowledge -- A Review of the Literature

Science.gov (United States)

Voogt, J.; Fisser, P.; Roblin, N. Pareja; Tondeur, J.; van Braak, J.

2013-01-01

Technological Pedagogical Content Knowledge (TPACK) has been introduced as a conceptual framework for the knowledge base teachers need to effectively teach with technology. The framework stems from the notion that technology integration in a specific educational context benefits from a careful alignment of content, pedagogy and the potential of…

Characteristics and determinants of knowledge transfer policies at universities and public institutions in medical research--protocol for a systematic review of the qualitative research literature.

Science.gov (United States)

Jahn, Rosa; Müller, Olaf; Bozorgmehr, Kayvan

2015-08-19

Universities, public institutions, and the transfer of knowledge to the private sector play a major role in the development of medical technologies. The decisions of universities and public institutions regarding the transfer of knowledge impact the accessibility of the final product, making it easier or more difficult for consumers to access these products. In the case of medical research, these products are pharmaceuticals, diagnostics, or medical procedures. The ethical dimension of access to these potentially lifesaving products is apparent and distinguishes the transfer of medical knowledge from the transfer of knowledge in other areas. While the general field of technology transfer from academic and public to private actors is attracting an increasing amount of scholarly attention, the specifications of knowledge transfer in the medical field are not as well explored. This review seeks to provide a systematic overview and analysis of the qualitative literature on the characteristics and determinants of knowledge transfer in medical research and development. The review systematically searches the literature for qualitative studies that focus on knowledge transfer characteristics and determinants at medical academic and public research institutions. It aims at identifying and analyzing the literature on the content and context of knowledge transfer policies, decision-making processes, and actors at academic and public institutions. The search strategy includes the databases PubMed, Web of Science, ProQuest, and DiVa. These databases will be searched based on pre-specified search terms. The studies selected for inclusion in the review will be critically assessed for their quality utilizing the Qualitative Research Checklist developed by the Clinical Appraisal Skills Programme. Data extraction and synthesis will be based on the meta-ethnographic approach. This review seeks to further the understanding of the kinds of transfer pathways that exist in medical

Indigenous Knowledge, Science, and Resilience: What Have We Learned from a Decade of International Literature on "Integration"?

Directory of Open Access Journals (Sweden)

Erin L. Bohensky

2011-12-01

Full Text Available Despite the increasing trend worldwide of integrating indigenous and scientific knowledge in natural resource management, there has been little stock-taking of literature on lessons learned from bringing indigenous knowledge and science together and the implications for maintaining and building social-ecological system resilience. In this paper we investigate: (1 themes, questions, or problems encountered for integration of indigenous knowledge and science; (2 the relationship between knowledge integration and social-ecological system resilience; and (3 critical features of knowledge integration practice needed to foster productive and mutually beneficial relationships between indigenous knowledge and science. We examine these questions through content analyses of three special journal issues and an edited book published in the past decade on indigenous, local, and traditional knowledge and its interface with science. We identified broad themes in the literature related to: (1 similarities and differences between knowledge systems; (2 methods and processes of integration; (3 social contexts of integration; and (4 evaluation of knowledge. A minority of papers discuss a relationship between knowledge integration and social-ecological system resilience, but there remains a lack of clarity and empirical evidence for such a relationship that can help distinguish how indigenous knowledge and knowledge integration contribute most to resilience. Four critical features of knowledge integration are likely to enable a more productive and mutually beneficial relationship between indigenous and scientific knowledge: new frames for integration, greater cognizance of the social contexts of integration, expanded modes of knowledge evaluation, and involvement of inter-cultural "knowledge bridgers."

Distributed Knowledge Management in Extranets

DEFF Research Database (Denmark)

Pedersen, Mogens Kühn; Larsen, Michael Holm

1999-01-01

Knowledge management exchange schemes based on symmetric incentives are rarely found in the literature. The distributed knowledge model relies upon a double loop knowledge conversion decision support system with symmetric incentives in an extranet. The model merges specific knowledge with knowledge...... chains and networks like replacement, maintenance and services industries....

Finding gene regulatory network candidates using the gene expression knowledge base.

Science.gov (United States)

Venkatesan, Aravind; Tripathi, Sushil; Sanz de Galdeano, Alejandro; Blondé, Ward; Lægreid, Astrid; Mironov, Vladimir; Kuiper, Martin

2014-12-10

Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of 'omics' data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis. We have developed the Gene eXpression Knowledge Base (GeXKB), a semantic web technology based resource that contains integrated knowledge about gene expression regulation. To affirm the utility of GeXKB we demonstrate how this resource can be exploited for the identification of candidate regulatory network proteins. We present four use cases that were designed from a biological perspective in order to find candidate members relevant for the gastrin hormone signaling network model. We show how a combination of specific query definitions and additional selection criteria derived from gene expression data and prior knowledge concerning candidate proteins can be used to retrieve a set of proteins that constitute valid candidates for regulatory network extensions. Semantic web technologies provide the means for processing and integrating various heterogeneous information sources. The GeXKB offers biologists such an integrated knowledge resource, allowing them to address complex biological questions pertaining to gene expression. This work illustrates how GeXKB can be used in combination with gene expression results and literature information to identify new potential candidates that may be considered for extending a gene regulatory network.

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...

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.)

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.)

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…

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)

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)

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.

Problem based learning: enhancing constructivist activities and engagement by fostering online knowledge sharing

OpenAIRE

Malik, Manish

2009-01-01

PBL was first introduced in medical education as a pure constructivist activity. This was popularly known as the McMaster approach [1]. Later, as can be seen in the literature [2], [4]-[10], there were several different implementations of PBL. There is no single definition of what is classed as a PBL activity. Similarly, there is no one approach reported to be the only successful approach. Sharing of knowledge and discussions based on this knowledge are the hall mark of any successful PBL bas...

Finding potentially new multimorbidity patterns of psychiatric and somatic diseases: exploring the use of literature-based discovery in primary care research.

Science.gov (United States)

Vos, Rein; Aarts, Sil; van Mulligen, Erik; Metsemakers, Job; van Boxtel, Martin P; Verhey, Frans; van den Akker, Marjan

2014-01-01

Multimorbidity, the co-occurrence of two or more chronic medical conditions within a single individual, is increasingly becoming part of daily care of general medical practice. Literature-based discovery may help to investigate the patterns of multimorbidity and to integrate medical knowledge for improving healthcare delivery for individuals with co-occurring chronic conditions. To explore the usefulness of literature-based discovery in primary care research through the key-case of finding associations between psychiatric and somatic diseases relevant to general practice in a large biomedical literature database (Medline). By using literature based discovery for matching disease profiles as vectors in a high-dimensional associative concept space, co-occurrences of a broad spectrum of chronic medical conditions were matched for their potential in biomedicine. An experimental setting was chosen in parallel with expert evaluations and expert meetings to assess performance and to generate targets for integrating literature-based discovery in multidisciplinary medical research of psychiatric and somatic disease associations. Through stepwise reductions a reference set of 21,945 disease combinations was generated, from which a set of 166 combinations between psychiatric and somatic diseases was selected and assessed by text mining and expert evaluation. Literature-based discovery tools generate specific patterns of associations between psychiatric and somatic diseases: one subset was appraised as promising for further research; the other subset surprised the experts, leading to intricate discussions and further eliciting of frameworks of biomedical knowledge. These frameworks enable us to specify targets for further developing and integrating literature-based discovery in multidisciplinary research of general practice, psychology and psychiatry, and epidemiology.

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

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.

Robustness of a Distributed Knowledge Management Model

DEFF Research Database (Denmark)

Pedersen, Mogens Kühn; Larsen, Michael Holm

1999-01-01

Knowledge management based on symmetric incentives is rarely found in literature. A knowledge exchange model relies upon a double loop knowledge conversion with symmetric incentives in a network. The model merges specific knowledge with knowledge from other actors into a decision support system...

Relationships between structural social capital, knowledge identification capability and external knowledge acquisition

Directory of Open Access Journals (Sweden)

Beatriz Ortiz

2017-07-01

Full Text Available Purpose - The purpose of this paper is to analyze the mediating effect of the identification of valuable external knowledge on the relationship between the development of inter-organizational ties (structural social capital and the acquisition of external knowledge. Design/methodology/approach - Using a sample of 87 firms from Spanish biotechnology and pharmaceutics industries, the authors have tested the proposed mediation hypothesis by applying the partial least squares technique to a structural equations model. Findings - The study results show that those firms with stronger, more frequent and closer inter-relationships are able to increase the amount of intentionally acquired knowledge, partly due to the greater level of development of their knowledge identification capability. Thus, firms with a higher capability to recognize the value of the knowledge embedded in their inter-organizational networks will be more likely to design better strategies to acquire and integrate such knowledge into their current knowledge bases for either present or future use. Originality/value - This research contributes to knowledge management and social capital literature by means of the study of two key determinants of knowledge acquisition – structural social capital and knowledge identification capability – and the explanation of their relationships of mutual influence. The paper thus tries to fill this literature gap and connects the relational perspective of social capital with the knowledge-based view from a strategic point of view.

OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base.

Science.gov (United States)

Lossio-Ventura, Juan Antonio; Hogan, William; Modave, François; Guo, Yi; He, Zhe; Hicks, Amanda; Bian, Jiang

2017-11-01

Obesity has been linked to several types of cancer. Access to adequate health information activates people's participation in managing their own health, which ultimately improves their health outcomes. Nevertheless, the existing online information about the relationship between obesity and cancer is heterogeneous and poorly organized. A formal knowledge representation can help better organize and deliver quality health information. Currently, there are several efforts in the biomedical domain to convert unstructured data to structured data and store them in Semantic Web knowledge bases (KB). In this demo paper, we present, OC-2-KB (Obesity and Cancer to Knowledge Base), a system that is tailored to guide the automatic KB construction for managing obesity and cancer knowledge from free-text scientific literature (i.e., PubMed abstracts) in a systematic way. OC-2-KB has two important modules which perform the acquisition of entities and the extraction then classification of relationships among these entities. We tested the OC-2-KB system on a data set with 23 manually annotated obesity and cancer PubMed abstracts and created a preliminary KB with 765 triples. We conducted a preliminary evaluation on this sample of triples and reported our evaluation results.

From dental science to clinical practice: Knowledge translation and evidence-based dentistry principles

Directory of Open Access Journals (Sweden)

Kelvin I. Afrashtehfar

2017-07-01

Full Text Available It has been claimed that in order to decrease the gap between what we know and what we do, research findings must be translated from knowledge to action. Such practices better enable dentists to make evidence-based decisions instead of personal ideas and judgments. To this end, this literature review aims to revisit the concepts of knowledge translation and evidence-based dentistry (EBD and depict their role and influence within dental education. It addresses some possible strategies to facilitate knowledge translation (KT, encourage dental students to use EBD principles, and to encourage dental educators to create an environment in which students become self-directed learners. It concludes with a call to develop up-to-date and efficient online platforms that could grant dentists better access to EBD sources in order to more efficiently translate research evidence into the clinic.

From dental science to clinical practice: Knowledge translation and evidence-based dentistry principles.

Science.gov (United States)

Afrashtehfar, Kelvin I; Assery, Mansour K

2017-07-01

It has been claimed that in order to decrease the gap between what we know and what we do, research findings must be translated from knowledge to action. Such practices better enable dentists to make evidence-based decisions instead of personal ideas and judgments. To this end, this literature review aims to revisit the concepts of knowledge translation and evidence-based dentistry (EBD) and depict their role and influence within dental education. It addresses some possible strategies to facilitate knowledge translation (KT), encourage dental students to use EBD principles, and to encourage dental educators to create an environment in which students become self-directed learners. It concludes with a call to develop up-to-date and efficient online platforms that could grant dentists better access to EBD sources in order to more efficiently translate research evidence into the clinic.

Assessing the effectiveness of knowledge-based interventions in increasing skin cancer awareness, knowledge, and protective behaviors in skin of color populations.

Science.gov (United States)

Kailas, Ajay; Botwin, Ariel L; Pritchett, Ellen N; Jackson-Richards, Diane; Lewis, Suzanna; Sadhwani, Divya; Desai, Seemal R; Taylor, Susan C

2017-10-01

Skin of color (SOC) populations (ie, blacks, Hispanics, Asians) are at a notably higher risk for mortality from skin cancers such as melanoma than white individuals. In this article, we seek to answer the following question: Do knowledge-based interventions increase skin cancer awareness among SOC patients? Following an extensive literature search, a total of 4 articles were analyzed and discussed in this review.

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...

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.

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

Knowledge platform for calculating climate impact from construction and building materials. Literature study; Kunnskapsplattform for beregning av klimabelastning fra bygg og byggematerialer. Litteraturstudie

Energy Technology Data Exchange (ETDEWEB)

Roenning, Anne; Lyng, Kari-Anne; Vold, Mie

2011-07-01

Greenhouse gas emissions from building linked today to a large extent to the energy consumption during the operating period. Through increasingly stringent energy requirements and other changes, the energy consumption for the operation could go down over time. This means in this case that the energy required to produce, transport and set up the building, to a greater extent can be relatively more important in a life-cycle analysis. KRD in that regard ha given Oestfoldforskning the commission to conduct a literature study that will provide an overview and assessment of the literature / research papers describing various building materials climate impact and how this translates into a lifetime (LCA - Life Cycle Assessment), and thus describe the knowledge platform these analyzes are based in. It also means a description of the factors that affect the climate and the environment, including the stages of life that are important. Literature study is conducted by searching scientific databases (Springer Link, Science Direct, Google Scholar, Norwegian EPD database of declarations). The literature search is limited to studies that are based on LCA as a methodology for calculating the climate impacts associated with the construction and building materials. Based on the review of literature is also undertaken an analysis focusing on explaining the methodological platform between the studies are based on, in order to explain why the results differ and / or may not be comparable.(eb)

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.

The role of knowledge management in supply chain management: A literature review

International Nuclear Information System (INIS)

Pérez-Salazar, María del Rosario; Lasserre, Alberto Alfonso Aguilar; Cedillo-Campos, Miguel Gastón; González, José Carlos Hernández

2017-01-01

The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014), selection of search databases (Web of Science and SCOPUS and language selection (English). Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.

The role of knowledge management in supply chain management: A literature review

Energy Technology Data Exchange (ETDEWEB)

Pérez-Salazar, María del Rosario; Lasserre, Alberto Alfonso Aguilar; Cedillo-Campos, Miguel Gastón; González, José Carlos Hernández

2017-07-01

The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014), selection of search databases (Web of Science and SCOPUS and language selection (English). Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.

The role of knowledge management in supply chain management: A literature review

Directory of Open Access Journals (Sweden)

María del Rosario Pérez-Salazar

2017-10-01

Full Text Available Purpose: The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i supply chain integration; (ii the enhancement of intra and inter-relations across the supply chain; (iii supply chain strategy alignment; and (iv the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014, selection of search databases (Web of Science and SCOPUS and language selection (English. Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.

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…

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.

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.

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.

School-Based Educational Intervention to Improve Children's Oral Health-Related Knowledge.

Science.gov (United States)

Blake, Holly; Dawett, Bhupinder; Leighton, Paul; Rose-Brady, Laura; Deery, Chris

2015-07-01

To evaluate a brief oral health promotion intervention delivered in schools by a primary care dental practice, aimed at changing oral health care knowledge and oral health-related behaviors in children. Cohort study with pretest-posttest design. Three primary schools. One hundred and fifty children (aged 9-12 years). Children received a 60-minute theory-driven classroom-based interactive educational session delivered by a dental care professional and received take-home literature on oral health. All children completed a questionnaire on oral health-related knowledge and self-reported oral health-related behaviors before, immediately after, and 6 weeks following the intervention. Children's dental knowledge significantly improved following the intervention, with improvement evident at immediate follow-up and maintained 6 weeks later. Significantly more children reported using dental floss 6 weeks after the intervention compared with baseline. No significant differences were detected in toothbrushing or dietary behaviors. School-based preventative oral health education delivered by primary care dental practices can generate short-term improvements in children's knowledge of oral health and some aspects of oral hygiene behavior. Future research should engage parents/carers and include objective clinical and behavioral outcomes in controlled study designs. © 2014 Society for Public Health Education.

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.

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...

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.

Characterizing Teaching Assistants' Knowledge and Beliefs Following Professional Development Activities within an Inquiry-Based General Chemistry Context

Science.gov (United States)

Wheeler, Lindsay B.; Maeng, Jennifer L.; Whitworth, Brooke A.

2017-01-01

The purpose of this investigation was to explore changes in undergraduate and graduate teaching assistants' (TAs') content knowledge and beliefs about teaching within the context of an inquiry-based laboratory course. TAs received professional development (PD), which was informed by the TA training literature base and was designed for TAs…

External knowledge acquisition and innovation output: an analysis of the moderating effect of internal knowledge transfer

OpenAIRE

Segarra Ciprés, Mercedes; Roca Puig, Vicente; Bou Llusar, Juan Carlos

2014-01-01

Numerous studies highlight the advantages of accessing knowledge from outside the firm as a means of enhancing the firm’s innovation efforts. However, access to external knowledge is not without organisational problems, including rejection of external knowledge by firm members or difficulties in applying such knowledge to the firm’s operations. Based on the knowledge management literature, this paper analyses the conditions within the firm that favour external knowledge acqu...

Whistleblowing: An integrative literature review of data-based studies involving nurses.

Science.gov (United States)

Jackson, Debra; Hickman, Louise D; Hutchinson, Marie; Andrew, Sharon; Smith, James; Potgieter, Ingrid; Cleary, Michelle; Peters, Kath

2014-01-01

Abstract Aim: To summarise and critique the research literature about whistleblowing and nurses. Whistleblowing is identified as a crucial issue in maintenance of healthcare standards and nurses are frequently involved in whistleblowing events. Despite the importance of this issue, to our knowledge an evaluation of this body of the data-based literature has not been undertaken. An integrative literature review approach was used to summarise and critique the research literature. A comprehensive search of five databases including Medline, CINAHL, PubMed and Health Science: Nursing/Academic Edition, and Google, were searched using terms including: 'Whistleblow*,' 'nurs*.' In addition, relevant journals were examined, as well as reference lists of retrieved papers. Papers published during the years 2007-2013 were selected for inclusion. Fifteen papers were identified, capturing data from nurses in seven countries. The findings in this review demonstrate a growing body of research for the nursing profession at large to engage and respond appropriately to issues involving suboptimal patient care or organisational wrongdoing. Nursing plays a key role in maintaining practice standards and in reporting care that is unacceptable although the repercussions to nurses who raise concerns are insupportable. Overall, whistleblowing and how it influences the individual, their family, work colleagues, nursing practice and policy overall, requires further national and international research attention.

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.

Interdisciplinarity at the journal and specialty level: the changing knowledge bases of the journal Cognitive Science

NARCIS (Netherlands)

Leydesdorff, L.; Goldstone, R.L.

2014-01-01

Using the referencing patterns in articles in Cognitive Science over three decades, we analyze the knowledge base of this literature in terms of its changing disciplinary composition. Three periods are distinguished: (A) construction of the interdisciplinary space in the 1980s, (B) development of an

Registered nurses’ knowledge, attitude, practice and regulation regarding their scope of practice: A literature review

Directory of Open Access Journals (Sweden)

M.M. Feringa

Full Text Available Over the years, extensive task shifting and sharing has taken place in nursing. In several countries, especially Botswana and other African countries, nurses are often responsible for duties and interventions they consider to be beyond their Scope of Practice (SoP or regard as ‘non-nursing’ tasks. Issues and concerns affecting SoP may have considerable impact on the quality of care and welfare of nurses. The aim of this article is to present the results of a literature review regarding the Scope of Practice of Registered Nurses. Method: A literature search was performed, using the following internet databases EbscoHost, Nursing@Ovid and Google Scholar. ResearchGate, Science Direct, Sage and Sabinet were also consulted, as well as websites of professional organizations and the Botswana Collection at the University of Botswana Library. Articles published in English between 2000 and 2018 were reviewed. Key search concepts included: scope of practice of nurses and knowledge, attitude, practice and regulation. Findings and discussion: Knowledge of nurses regarding their SoP appears variable and attitudes are usually positive, as long as scope expansion is congruent with legislation. Literature illustrates that nurses regularly practise outside their scope, either beyond or below, whereas SoP may overlap, both intra-disciplinary as well as interdisciplinary. Although the SoP of nurses appears to be regulated in many countries, regulation often appears insufficient to meet the evolving nature of the nursing profession. Conclusion: In the current changing worldwide health arena, scoping issues remain relevant and warrant imminent attention. Keywords: Scope of practice of nurses, Knowledge, Attitude, Practice, Regulation

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

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.

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....

Knowledge Management Challenges For Global Business

OpenAIRE

Veli Denizhan Kalkan

2011-01-01

Managing organizational knowledge effectively is a prerequisite for securing competitive advantages in the global marketplace. The field of knowledge management brings out important challenges for global business practices. Based on a comprehensive academic and popular literature review, this paper identifies six main knowledge management challenges faced by global business today. These are developing a working definition of knowledge, dealing with tacit knowledge and utilization of informati...

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...

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

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.

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…

Canine vector-borne diseases in India: a review of the literature and identification of existing knowledge gaps

Directory of Open Access Journals (Sweden)

Coleman Glen T

2010-04-01

Full Text Available Abstract Despite the combination of favourable climate for parasites and vectors, and large populations of stray dogs, information concerning the epidemiology, diagnosis and management of canine vector-borne diseases in India is limited. However, with the country's expanding economy and adaptation to western culture, higher expectations and demands are being placed on veterinary surgeons for improved knowledge of diseases and control. This review aims to provide an overview of the current state of knowledge of these diseases in India and identify existing knowledge gaps in the literature which need to be addressed. The available literature on this subject, although limited, suggests that a number of canine vector-borne diseases such as filariasis, babesiosis and ehrlichiosis are endemic throughout India, as diagnosed mostly by morphological methods. Detailed investigations of the epidemiology and zoonotic potential of these pathogens has been neglected. Further study is essential to develop a better understanding of the diversity of canine vector-borne diseases in India, and their significance for veterinary and public health.

Measures of Competitive Intensity – Analysis Based on Literature Review

Directory of Open Access Journals (Sweden)

Dariusz Kwieciński

2017-03-01

Full Text Available Purpose: To systematize the existing approaches and tools used for measuring competitive intensity. Methodology: Systematic literature review along with critical literature review. Findings: Identifcation of two main approaches to measuring competition intensity: the frst pertains to research based on experts’ opinions and involves the use of questionnaires (primary sources, while the second is based on structural variables used with a variety of indexes (secondary sources. In addition, variables applied for the purpose of measuring the intensity of competition are divided into structural and behavioural. Research implications: Research implications are two-fold. Firstly, a distinction is made between various types of existing approaches to measuring competitive intensity. Secondly, research is carried out, inter alia, with regard to the actual object of certain measures, as opposed to their object stemming from commonly accepted defnitions. Practical implications: The issue of measuring competition intensity occupies a prominent place in the discussion on the effectiveness of inter-organizational relationships. The fndings outlined in this paper may help managers to develop/adopt the right approach supporting their strategic decisions. Originality: The paper provides a complex review of the existing methods and measures of competitive intensity. It systematizes recent knowledge about competitive intensity measurements.

End user interface and knowledge base editing system of CSPAR: a knowledge-based consultation system for preventive maintenance in nuclear plants

International Nuclear Information System (INIS)

Sinohara, Yasusi; Terano, Takao; Nishiyama, Takuya

1988-01-01

Consultation System for Prevention of Abnormal-event Recurrence (CSPAR) is a knowledge-based system to analyze the same kind of events to a given fault reported on a nuclear power plant and to give users some informations for effective measures preventing them. This report discusses the interfaces of CSPAR for both end-users and knowledge-base editors. The interfaces are highly interactive and multi-window oriented. The features are as follows: (1) The end-user interfaces has Japanese language processing facility, which enables the users to consult CSPAR with various synonims and related terms for knowledge-base handling; (2) The knowledge-base editing system is used by knowledge-base editors for maintaining the knowledge on both plants' equipments and abnormal events sequences. It has facilities for easy maintenance of knowledge-bases, which includes a graphic oriented browser, a knowledge-base retriever, and a knowledge-base checker. (author)

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.

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

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.

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....

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

Computer-based literature search in medical institutions in India

Directory of Open Access Journals (Sweden)

Kalita Jayantee

2007-01-01

Full Text Available Aim: To study the use of computer-based literature search and its application in clinical training and patient care as a surrogate marker of evidence-based medicine. Materials and Methods: A questionnaire comprising of questions on purpose (presentation, patient management, research, realm (site accessed, nature and frequency of search, effect, infrastructure, formal training in computer based literature search and suggestions for further improvement were sent to residents and faculty of a Postgraduate Medical Institute (PGI and a Medical College. The responses were compared amongst different subgroups of respondents. Results: Out of 300 subjects approached 194 responded; of whom 103 were from PGI and 91 from Medical College. There were 97 specialty residents, 58 super-specialty residents and 39 faculty members. Computer-based literature search was done at least once a month by 89% though there was marked variability in frequency and extent. The motivation for computer-based literature search was for presentation in 90%, research in 65% and patient management in 60.3%. The benefit of search was acknowledged in learning and teaching by 80%, research by 65% and patient care by 64.4% of respondents. Formal training in computer based literature search was received by 41% of whom 80% were residents. Residents from PGI did more frequent and more extensive computer-based literature search, which was attributed to better infrastructure and training. Conclusion: Training and infrastructure both are crucial for computer-based literature search, which may translate into evidence based medicine.

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...

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).

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)

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.

Teaching science through literature

Science.gov (United States)

Barth, Daniel

2007-12-01

The hypothesis of this study was that a multidisciplinary, activity rich science curriculum based around science fiction literature, rather than a conventional text book would increase student engagement with the curriculum and improve student performance on standards-based test instruments. Science fiction literature was chosen upon the basis of previous educational research which indicated that science fiction literature was able to stimulate and maintain interest in science. The study was conducted on a middle school campus during the regular summer school session. Students were self-selected from the school's 6 th, 7th, and 8th grade populations. The students used the science fiction novel Maurice on the Moon as their only text. Lessons and activities closely followed the adventures of the characters in the book. The student's initial level of knowledge in Earth and space science was assessed by a pre test. After the four week program was concluded, the students took a post test made up of an identical set of questions. The test included 40 standards-based questions that were based upon concepts covered in the text of the novel and in the classroom lessons and activities. The test also included 10 general knowledge questions that were based upon Earth and space science standards that were not covered in the novel or the classroom lessons or activities. Student performance on the standards-based question set increased an average of 35% for all students in the study group. Every subgroup disaggregated by gender and ethnicity improved from 28-47%. There was no statistically significant change in the performance on the general knowledge question set for any subgroup. Student engagement with the material was assessed by three independent methods, including student self-reports, percentage of classroom work completed, and academic evaluation of student work by the instructor. These assessments of student engagement were correlated with changes in student performance

Evidence-based practice in radiology: Knowledge, attitude and perceived barriers to practice among residents in radiology

Energy Technology Data Exchange (ETDEWEB)

Anuradha, Chandramohan, E-mail: anuradhachandramohan@gmail.com [Department of Radiology, Christian Medical College, Vellore, Tamil Nadu 632 004 (India); Jacob, K.S., E-mail: ksjacob@cmcvellore.ac.in [Department of Psychiatry, Christian Medical College, Vellore, Tamil Nadu 632 004 (India); Specialist Mental Health Service for Older People, Suite 106, 64–68 Derby Street, Kingswood, Penrith 2750 (Australia); Shyamkumar, N.K., E-mail: aparnashyam@gmail.com [Department of Radiology, Christian Medical College, Vellore, Tamil Nadu 632 004 (India); Sridhar, Gibikote, E-mail: gibikote@cmcvellore.ac.in [Department of Radiology, Christian Medical College, Vellore, Tamil Nadu 632 004 (India)

2013-05-15

Aim: We examinted the attitude, knowledge and perceived barriers to evidence-based practice of radiology (EBPR) among residents in radiology. Study design and setting: We used the McColl questionnaire (1) and the BARRIERS scale (2) to assess the issues among radiology trainees attending an annual refresher course. Ninety six residents from 32 medical colleges from Southern India attended the course. Results: Eighty (83.3%) residents, 55 male and 25 female of age range 24–34 years, consented and returned the questionnaire. The majority of the participants had a positive attitude towards EBPR. However, 45% were unaware of sources for evidence based literature although many had access to Medline (45%) and the internet (80%). The majority (70%) were aware of the common technical terms (e.g. odds ratio, absolute and relative risk) but other complex details (e.g. meta-analysis, clinical effectiveness, confidence interval, publication bias and number needed to treat) were poorly understood. Though majority of residents (59%) were currently following guidelines and protocols laid by colleagues within their departments, 70% of residents were interested in learning the skills of EBPR and were willing to appraise primary literature or systematic reviews by themselves. Insufficient time on the job to implement new ideas (70.1%); relevant literature is not being complied in one place (68.9%); not being able to understand statistical methods (68.5%) were considered to be the major barriers to EBPR. Training in critical appraisal significantly influence usage of bibliographic databases (p < 0.0001). Attitude of collegues (p = 0.006) influenced attitude of the trainees towards EBPR. Those with higher knowledge scores (p = 0.02) and a greater awareness of sources for seeking evidence based literature (p = 0.05) held stronger beliefs that EBPR significantly improved patient care. Conclusions: The large knowledge gap related to EBPR suggests the need to incorporate structured

Evidence-based practice in radiology: Knowledge, attitude and perceived barriers to practice among residents in radiology

International Nuclear Information System (INIS)

Anuradha, Chandramohan; Jacob, K.S.; Shyamkumar, N.K.; Sridhar, Gibikote

2013-01-01

Aim: We examinted the attitude, knowledge and perceived barriers to evidence-based practice of radiology (EBPR) among residents in radiology. Study design and setting: We used the McColl questionnaire (1) and the BARRIERS scale (2) to assess the issues among radiology trainees attending an annual refresher course. Ninety six residents from 32 medical colleges from Southern India attended the course. Results: Eighty (83.3%) residents, 55 male and 25 female of age range 24–34 years, consented and returned the questionnaire. The majority of the participants had a positive attitude towards EBPR. However, 45% were unaware of sources for evidence based literature although many had access to Medline (45%) and the internet (80%). The majority (70%) were aware of the common technical terms (e.g. odds ratio, absolute and relative risk) but other complex details (e.g. meta-analysis, clinical effectiveness, confidence interval, publication bias and number needed to treat) were poorly understood. Though majority of residents (59%) were currently following guidelines and protocols laid by colleagues within their departments, 70% of residents were interested in learning the skills of EBPR and were willing to appraise primary literature or systematic reviews by themselves. Insufficient time on the job to implement new ideas (70.1%); relevant literature is not being complied in one place (68.9%); not being able to understand statistical methods (68.5%) were considered to be the major barriers to EBPR. Training in critical appraisal significantly influence usage of bibliographic databases (p < 0.0001). Attitude of collegues (p = 0.006) influenced attitude of the trainees towards EBPR. Those with higher knowledge scores (p = 0.02) and a greater awareness of sources for seeking evidence based literature (p = 0.05) held stronger beliefs that EBPR significantly improved patient care. Conclusions: The large knowledge gap related to EBPR suggests the need to incorporate structured

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.

Connecting Mathematics and Literature: An Analysis of Pre-Service Elementary School Teachers' Changing Beliefs and Knowledge

Science.gov (United States)

Wilburne, Jane M.; Napoli, Mary

2008-01-01

The National Council of Teachers of Mathematics calls for students to see relationships and connections with mathematics (2000). This study examined the influences on eight pre-service elementary school teachers' beliefs and knowledge of teaching mathematics through literature. The semester long project involved both the language arts and…

A typology of design knowledge: a theoretical framework

NARCIS (Netherlands)

Mueller, Roland; Thoring, Katja

2010-01-01

This paper is a theoretical approach to structure design-specific knowledge into a framework, which can be used within the context of organizational and societal development. We conducted an extensive literature review about existing definitions of design knowledge, and knowledge in general. Based

Knowledge based literature data base on the effect of electromagnetic fields on the organism and implants; Wissensbasierte Literaturdatenbank ueber die Einwirkungen elektromagnetischer Felder auf den Orgnismus und auf Implantate

Energy Technology Data Exchange (ETDEWEB)

Wienert, Roman; Dechent, Dagmar; Silny, Jiri

2005-07-01

The ''EMF-Portal'' is an Internet-based information platform in the research area of non-ionizing radiation effects. It is supplied by a variety of linked information sources and it provides scientific knowledge based on the results of at present approx. 7.700 (mainly peer-reviewed) publications related to bioelectromagnetic interaction. Different help tools support the interested user in both finding and interpreting relevant data. The EMF-Portal is multi-lingual: English and German are currently supported, other languages can be added. It is the aim of the portal to enable all users, regardless of their education or occupation, to ask complex questions about EMF and their effects and to receive specific and comprehensive answers. Assisted by an interdisciplinary glossary and a database of everyday's exposure sources, as well as an in-depth literature database, the user obtains a dynamically generated answer based on the results of all related publication data. The answer may consist of either a list of corresponding literature references or of different types of statistics e.g. regarding investigated endpoints. The Information System consists of two main components: The knowledge based literature database (a.k.a. WBLDB) and the EMF-Portal. The WBLDB contains most of the relevant scientific literature published so far. In addition to the publication data, the descriptors (exposure, methods, results etc.) of each study are extracted. With the help of this database the user has detailed insight into individual publications without having to read the full text, and he can produce statistical overviews over corresponding related studies as well as an objective comparison between different publications. The EMF-Portal which is the subject of this research project consists of the following modules: The interdisciplinary glossary comprehensively explains related biological, medical, epidemiological, technical or dosimetric terms. The database of

A systematic review on barriers, facilities, knowledge and attitude toward evidence-based medicine in Iran

Directory of Open Access Journals (Sweden)

Morteza Ghojazadeh

2015-03-01

Full Text Available Introduction: Evidence-based medicine (EBM is the ability and skill in using and integration of the best up-to-date evidences. The aim of this study was a systematic review of barriers, facilities, knowledge and attitude of EBM in Iran. Methods: In this study, database and manual search was used with keywords such as, "evidence-based, EBM, evidence-based nursing, evidence-based practice, evidence-based care, evidence-based activities, evidence-based education" and their combination with the keywords of the barrier, facilitator, attitude, awareness, prospective, knowledge, practice and Iran. The databases of SID (Scientific information database, Magiran, MEDLIB, PubMed, Google scholar, IranMedex and CINAHL (Cumulative index to nursing and allied health literature were used for data collection. Results: Finally, 28 papers were included in this study. The lack of facilities, time and skill in research methodology were the most important barriers to EBM. The most and least important factors were orderly creating ample opportunity and detecting needs and problems. The degree of familiarity with the terminology of evidence-based performance was low (44.2%. The textbooks have been considered as the most significant source of obtaining information. The level of awareness, knowledge, and evidence-based performance was less than 50.0%. Conclusion: There are many various barriers in use of EBM and healthcare providers despite the positive attitude toward EBM had a low level knowledge in EBM setting. Consideration of the importance of EBM proper planning and effective intervention are necessary to removing the barriers and increase the knowledge of healthcare providers.

Rediscovering Don Swanson: The Past, Present and Future of Literature-based Discovery

Directory of Open Access Journals (Sweden)

Neil R. Smalheiser

2017-12-01

Full Text Available Purpose: The late Don R. Swanson was well appreciated during his lifetime as Dean of the Graduate Library School at University of Chicago, as winner of the American Society for Information Science Award of Merit for 2000, and as author of many seminal articles. In this informal essay, I will give my personal perspective on Don’s contributions to science, and outline some current and future directions in literature-based discovery that are rooted in concepts that he developed. Design/methodology/approach: Personal recollections and literature review. Findings: The Swanson A-B-C model of literature-based discovery has been successfully used by laboratory investigators analyzing their findings and hypotheses. It continues to be a fertile area of research in a wide range of application areas including text mining, drug repurposing, studies of scientific innovation, knowledge discovery in databases, and bioinformatics. Recently, additional modes of discovery that do not follow the A-B-C model have also been proposed and explored (e.g. so-called storytelling, gaps, analogies, link prediction, negative consensus, outliers, and revival of neglected or discarded research questions. Research limitations: This paper reflects the opinions of the author and is not a comprehensive nor technically based review of literature-based discovery. Practical implications: The general scientific public is still not aware of the availability of tools for literature-based discovery. Our Arrowsmith project site maintains a suite of discovery tools that are free and open to the public (http://arrowsmith.psych.uic.edu, as does BITOLA which is maintained by Dmitar Hristovski (http:// http://ibmi.mf.uni-lj.si/bitola, and Epiphanet which is maintained by Trevor Cohen (http://epiphanet.uth.tmc.edu/. Bringing user-friendly tools to the public should be a high priority, since even more than advancing basic research in informatics, it is vital that we ensure that scientists

The workers role in knowledge management and sustainability policies.

Science.gov (United States)

Bolis, Ivan; Brunoro, Claudio; Sznelwar, Laerte Idal

2012-01-01

Based on the concepts of sustainability and knowledge management, this article seeks to identify points of contact between the two themes through an exploratory study of existing literature. The first objective is to find, in international literature, the largest number of papers jointly related to the theme of knowledge management and sustainability. In these documents, the authors looked at the kind of relationship existing between the two themes and what the benefits introduced in organizations are. Based on an ergonomic point of view, the second objective of this article is to analyze the role of the worker (whether at the strategic or operational level) and his importance in this context. The results demonstrate that there is very little literature that addresses the two themes together. The few papers found, however, can be said to show the many advantages of introducing sustainability policies supported by adequate knowledge management. Very little has been studied with regards to the role of workers, which could be interpreted as meaning that little importance is given to the proactive role they may play. On the other hand, there is a high potential for future research in these areas, based on the high level of consideration of workers in knowledge management and sustainability literature, as well as in literature in the areas of ergonomics and sociology.

Growth through Internationalization : A Knowledge Perspective on SMEs

OpenAIRE

Naldi, Lucia

2008-01-01

Drawing on Penrose’s theory of the growth of the firm, the international business literature, the literature on the knowledge-based view, organizational learning, and absorptive capacity, this dissertation addresses four research questions: 1) What are the effects of downstream international activities (sales and marketing completed abroad) and upstream international activities (purchasing, production, and R&D completed abroad) on the acquisition of market knowledge and technological know...

A Knowledge-based Environment for Software Process Performance Analysis

Directory of Open Access Journals (Sweden)

Natália Chaves Lessa Schots

2015-08-01

Full Text Available Background: Process performance analysis is a key step for implementing continuous improvement in software organizations. However, the knowledge to execute such analysis is not trivial and the person responsible to executing it must be provided with appropriate support. Aim: This paper presents a knowledge-based environment, named SPEAKER, proposed for supporting software organizations during the execution of process performance analysis. SPEAKER comprises a body of knowledge and a set of activities and tasks for software process performance analysis along with supporting tools to executing these activities and tasks. Method: We conducted an informal literature reviews and a systematic mapping study, which provided basic requirements for the proposed environment. We implemented the SPEAKER environment integrating supporting tools for the execution of activities and tasks of performance analysis and the knowledge necessary to execute them, in order to meet the variability presented by the characteristics of these activities. Results: In this paper, we describe each SPEAKER module and the individual evaluations of these modules, and also present an example of use comprising how the environment can guide the user through a specific performance analysis activity. Conclusion: Although we only conducted individual evaluations of SPEAKER’s modules, the example of use indicates the feasibility of the proposed environment. Therefore, the environment as a whole will be further evaluated to verify if it attains its goal of assisting in the execution of process performance analysis by non-specialist people.

Information retrieval, critical appraisal and knowledge of evidence-based dentistry among Finnish dental students.

Science.gov (United States)

Nieminen, P; Virtanen, J I

2017-11-01

One of the core skills of competent dentist is the ability to search and analyse high-quality evidence. Problems in understanding the basic aspects of knowledge-based information may impede its implementation into clinical practice. We examined how Finnish dental students acquire scientific information and how familiar they are with methods for evaluating scientific evidence related to clinical questions. All fifth-year dental students (n = 120) at the three universities in Finland received a self-administered questionnaire. The three most commonly used sources of information were colleagues, the commercial Health Gate Portal for dental practitioners and personal lecture notes. Although students rarely read scientific journals, they did find that they possess at least passable or even good skills in literature retrieval. Three questions related to the appraisal of evidence in dentistry revealed that students' knowledge of evidence-based dentistry was inadequate to critically evaluate clinical research findings. Most students seem to lack knowledge of key methodological evidence-based terms. The present curricula in dental schools fail to encourage the students to search and acquire knowledge wider than their patients themselves do. Universities have the responsibility to teach dentists various methods of critical appraisal to cope with scientific information. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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...

A knowledge representation meta-model for rule-based modelling of signalling networks

Directory of Open Access Journals (Sweden)

Adrien Basso-Blandin

2016-03-01

Full Text Available The study of cellular signalling pathways and their deregulation in disease states, such as cancer, is a large and extremely complex task. Indeed, these systems involve many parts and processes but are studied piecewise and their literatures and data are consequently fragmented, distributed and sometimes—at least apparently—inconsistent. This makes it extremely difficult to build significant explanatory models with the result that effects in these systems that are brought about by many interacting factors are poorly understood. The rule-based approach to modelling has shown some promise for the representation of the highly combinatorial systems typically found in signalling where many of the proteins are composed of multiple binding domains, capable of simultaneous interactions, and/or peptide motifs controlled by post-translational modifications. However, the rule-based approach requires highly detailed information about the precise conditions for each and every interaction which is rarely available from any one single source. Rather, these conditions must be painstakingly inferred and curated, by hand, from information contained in many papers—each of which contains only part of the story. In this paper, we introduce a graph-based meta-model, attuned to the representation of cellular signalling networks, which aims to ease this massive cognitive burden on the rule-based curation process. This meta-model is a generalization of that used by Kappa and BNGL which allows for the flexible representation of knowledge at various levels of granularity. In particular, it allows us to deal with information which has either too little, or too much, detail with respect to the strict rule-based meta-model. Our approach provides a basis for the gradual aggregation of fragmented biological knowledge extracted from the literature into an instance of the meta-model from which we can define an automated translation into executable Kappa programs.

Patient knowledge, perceptions, and acceptance of generic medicines: a comprehensive review of the current literature

Directory of Open Access Journals (Sweden)

Alrasheedy AA

2014-04-01

Full Text Available Alian A Alrasheedy,1 Mohamed Azmi Hassali,1 Kay Stewart,2 David CM Kong,2 Hisham Aljadhey,3 Mohamed Izham Mohamed Ibrahim,4 Saleh Karamah Al-Tamimi1 1Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia; 2Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia; 3Medication Safety Research Chair, Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 4College of Pharmacy, Qatar University, Doha, Qatar Background: Generic medicines have the same quality, safety, and efficacy as their counterpart original brand medicines. Generic medicines provide the same therapeutic outcomes but at a much cheaper cost, so are promoted in many countries to contain pharmaceutical expenditure and sustain the health care system. Thus, the perspective of patients and medicine consumers as end users of these medicines is an important factor to enhance the use and utilization of generic medicines. The objective of this paper is to review patients’ and consumers’ knowledge, perceptions, acceptance, and views of generic medicines in the current literature. Methods: An extensive literature search was performed in several databases, namely Scopus, PubMed, ISI Web of Knowledge, Proquest, and the Wiley online library, to identify relevant studies published in the English literature for the period 1990–2013. Results: A total of 53 studies were included in the review, comprising 24 studies from Europe, ten from North America, six from Asia, five from Australia and New Zealand, five from the Middle East, one from Africa, one from Latin America, and one from the Caribbean region. A large body of literature has reported misconceptions and negative perceptions about generic medicines on the part of patients and medicine consumers. Moreover, although it is reported in almost all countries, the percentage of consumers who had

Development of a Prototype Model-Form Uncertainty Knowledge Base

Science.gov (United States)

Green, Lawrence L.

2016-01-01

Uncertainties are generally classified as either aleatory or epistemic. Aleatory uncertainties are those attributed to random variation, either naturally or through manufacturing processes. Epistemic uncertainties are generally attributed to a lack of knowledge. One type of epistemic uncertainty is called model-form uncertainty. The term model-form means that among the choices to be made during a design process within an analysis, there are different forms of the analysis process, which each give different results for the same configuration at the same flight conditions. Examples of model-form uncertainties include the grid density, grid type, and solver type used within a computational fluid dynamics code, or the choice of the number and type of model elements within a structures analysis. The objectives of this work are to identify and quantify a representative set of model-form uncertainties and to make this information available to designers through an interactive knowledge base (KB). The KB can then be used during probabilistic design sessions, so as to enable the possible reduction of uncertainties in the design process through resource investment. An extensive literature search has been conducted to identify and quantify typical model-form uncertainties present within aerospace design. An initial attempt has been made to assemble the results of this literature search into a searchable KB, usable in real time during probabilistic design sessions. A concept of operations and the basic structure of a model-form uncertainty KB are described. Key operations within the KB are illustrated. Current limitations in the KB, and possible workarounds are explained.

The role of HRM practices in building intellectual capital in knowledge-based teams

DEFF Research Database (Denmark)

Jørgensen, Frances; Becker, Karen

2013-01-01

In this paper, we investigate the ways HRM systems support development of intellectual capital in teams in three case studies of knowledge-intensive firms (KIFs) in Denmark. By focusing on team composition and structure, findings build on the rapidly growing body of literature on HRM’s role....... The findings also have managerial implications regarding the need to align team composition and structure, HRM systems, and intellectual capital focus to support development of team-based intellectual capital....

Knowledge Sharing is Knowledge Creation

DEFF Research Database (Denmark)

Greve, Linda

2015-01-01

Knowledge sharing and knowledge transfer are important to knowledge communication. However when groups of knowledge workers engage in knowledge communication activities, it easily turns into mere mechanical information processing despite other ambitions. This article relates literature of knowledge...... communication and knowledge creation to an intervention study in a large Danish food production company. For some time a specific group of employees uttered a wish for knowledge sharing, but it never really happened. The group was observed and submitted to metaphor analysis as well as analysis of co...

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...

A Framework for a Multi-Faceted, Educational, Knowledge-Based Recommender System

Directory of Open Access Journals (Sweden)

John W. Coffey

2016-08-01

Full Text Available The literature on intelligent or adaptive tutoring systems generally has a focus on how to determine what resources to present to students as they make their way through a course of study. The idea of multi-faceted student modeling is that a variety of measures, both academic and non-academic, might be represented in student models in service of a broader educational context. This paper contains a framework for a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, and a taxonomy of inferences that might be made over such models.

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.

The place of practical wisdom in science education: what can be learned from Aristotelian ethics and a virtue-based theory of knowledge

Science.gov (United States)

Salloum, Sara

2017-06-01

This conceptual paper aims to characterize science teachers' practical knowledge utilizing a virtue-based theory of knowledge and the Aristotelian notion of phronesis/practical wisdom. The article argues that a greater understanding of the concept of phronesis and its relevance to science education would enrich our understandings of teacher knowledge, its development, and consequently models of teacher education. Views of teacher knowledge presented in this paper are informed by philosophical literature that questions normative views of knowledge and argues for a virtue-based epistemology rather than a belief-based one. The paper first outlines general features of phronesis/practical wisdom. Later, a virtue-based view of knowledge is described. A virtue-based view binds knowledge with moral concepts and suggests that knowledge development is motivated by intellectual virtues such as intellectual sobriety, perseverance, fairness, and humility. A virtue-based theory of knowledge gives prominence to the virtue of phronesis/practical wisdom, whose primary function is to mediate among virtues and theoretical knowledge into a line of action that serves human goods. The role of phronesis and its relevance to teaching science are explained accordingly. I also discuss differences among various characterizations of practical knowledge in science education and a virtue-based characterization. Finally, implications and further questions for teacher education are presented.

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…

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...

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.

Knowledge Governance for Sustainable Development: A Review

Directory of Open Access Journals (Sweden)

Lorrae van Kerkhoff

2014-03-01

Full Text Available Sustainable development is a knowledge intensive process, but plagued by persistent concerns over our apparent inability to connect what we know with more sustainable practices and outcomes. While considerable attention has been given to ways we may better understand and enhance the knowledge-based processes that support the governance of social-­ecological systems, relatively few have examined the governance of knowledge itself. The institutions—rules and norms—that govern knowledge may shed light on the persistence of 'gaps' between knowledge and action. In this review I seek to answer the question: can interdisciplinary knowledge governance literature contribute to understanding and analysing the institutional knowledge-based dimensions of sustainable development? I present and analyse the concept of knowledge governance as it is emerging in a range of disciplines and practice areas, including private sector management literature and public regulation theory and practice. I then integrate the findings from this review into a model of sustainable development proposed by Nilsson et al. [1]. I show that knowledge governance (as a scale above knowledge management can inform Nilsson et al.'s three "nested" dimensions of sustainability: human wellbeing (through access to knowledge and freedom to exercise informed choice; resource-base management (though enhancing regulation and innovation and transitions from exclusive to inclusive knowledge systems; and global public goods (by balancing public and private interests and fostering global innovation systems. This review concludes by presenting a framework that places sustainable development in the context of broader socio-political struggles towards more open, inclusive knowledge systems.

Information technology to support informal knowledge sharing

NARCIS (Netherlands)

Davison, R.M.; Ou, C.X.J.; Martinsons, M.G.

2013-01-01

The knowledge management (KM) literature largely focuses on the explicit and formal representation of knowledge in computer-based KM systems. Informal KM practices are widespread, but less is known about them. This paper aims to redress this imbalance by exploring the use of interactive information

Successes and Failures of Knowledge Management: An Investigation into Knowledge Management Metrics

International Nuclear Information System (INIS)

Liebowitz, J.

2016-01-01

Full text: In reviewing the literature and industry reports, a number of organizations have approached KM metrics from a balanced scorecard, intellectual capital (e.g., Skandia’s intellectual capital navigator), activity-based costing, or other borrowed approaches from the accounting and human resources disciplines. Liebowitz in his edited book, Making Cents Out of Knowledge Management (Scarecrow Press, 2008), shows case studies of organizations trying to measure knowledge management success. A few methodologies have examined ways to measure return on knowledge, such as Housel and Bell’s knowledge value-added (KVA) methodology (Housel and Bell, 2001). Liebowitz analyzed over 80 publications on knowledge management metrics, whereby KM metrics can be divided into system measures, output measures, and outcome measures. (author

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.

Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks.

Science.gov (United States)

Zhou, Xuezhong; Liu, Baoyan; Wu, Zhaohui; Feng, Yi

2007-10-01

The amount of biomedical data in different disciplines is growing at an exponential rate. Integrating these significant knowledge sources to generate novel hypotheses for systems biology research is difficult. Traditional Chinese medicine (TCM) is a completely different discipline, and is a complementary knowledge system to modern biomedical science. This paper uses a significant TCM bibliographic literature database in China, together with MEDLINE, to help discover novel gene functional knowledge. We present an integrative mining approach to uncover the functional gene relationships from MEDLINE and TCM bibliographic literature. This paper introduces TCM literature (about 50,000 records) as one knowledge source for constructing literature-based gene networks. We use the TCM diagnosis, TCM syndrome, to automatically congregate the related genes. The syndrome-gene relationships are discovered based on the syndrome-disease relationships extracted from TCM literature and the disease-gene relationships in MEDLINE. Based on the bubble-bootstrapping and relation weight computing methods, we have developed a prototype system called MeDisco/3S, which has name entity and relation extraction, and online analytical processing (OLAP) capabilities, to perform the integrative mining process. We have got about 200,000 syndrome-gene relations, which could help generate syndrome-based gene networks, and help analyze the functional knowledge of genes from syndrome perspective. We take the gene network of Kidney-Yang Deficiency syndrome (KYD syndrome) and the functional analysis of some genes, such as CRH (corticotropin releasing hormone), PTH (parathyroid hormone), PRL (prolactin), BRCA1 (breast cancer 1, early onset) and BRCA2 (breast cancer 2, early onset), to demonstrate the preliminary results. The underlying hypothesis is that the related genes of the same syndrome will have some biological functional relationships, and will constitute a functional network. This paper presents

Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

Science.gov (United States)

Gluhih, I. N.; Akhmadulin, R. K.

2017-07-01

One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

Creating Value through Virtual Teams: A Current Literature Review

Directory of Open Access Journals (Sweden)

Akemi Takeoka Chatfield

2014-11-01

Full Text Available Globally, virtual teams (VT as ICT-enabled emergent network organisation forms have gained international validity by innovative organisations, with a corresponding surge of interest in understanding how organisations can leverage VT to create business value. Despite growing deliberations in VT literature on managing VT, tasks and outcomes, however, creating business value through VT remains an unresolved theoretical and pragmatic conundrum. A review of prior relevant literature is essential to advancing knowledge. The paucity of published review articles seems to have impeded the field’s accumulation of VT knowledge. This research, therefore, reviews the current literature on case studies of VT to address the question: What are organisational challenges in creating business value through VT in the organisation? The key challenges found in the literature are effective communication, knowledge sharing, trust, and interpersonal skills in the new virtual boundary-less environment. Drawing on the IT business value model, we also discuss their resource-based implications.

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.

Structuring osteosarcoma knowledge: an osteosarcoma-gene association database based on literature mining and manual annotation.

Science.gov (United States)

Poos, Kathrin; Smida, Jan; Nathrath, Michaela; Maugg, Doris; Baumhoer, Daniel; Neumann, Anna; Korsching, Eberhard

2014-01-01

Osteosarcoma (OS) is the most common primary bone cancer exhibiting high genomic instability. This genomic instability affects multiple genes and microRNAs to a varying extent depending on patient and tumor subtype. Massive research is ongoing to identify genes including their gene products and microRNAs that correlate with disease progression and might be used as biomarkers for OS. However, the genomic complexity hampers the identification of reliable biomarkers. Up to now, clinico-pathological factors are the key determinants to guide prognosis and therapeutic treatments. Each day, new studies about OS are published and complicate the acquisition of information to support biomarker discovery and therapeutic improvements. Thus, it is necessary to provide a structured and annotated view on the current OS knowledge that is quick and easily accessible to researchers of the field. Therefore, we developed a publicly available database and Web interface that serves as resource for OS-associated genes and microRNAs. Genes and microRNAs were collected using an automated dictionary-based gene recognition procedure followed by manual review and annotation by experts of the field. In total, 911 genes and 81 microRNAs related to 1331 PubMed abstracts were collected (last update: 29 October 2013). Users can evaluate genes and microRNAs according to their potential prognostic and therapeutic impact, the experimental procedures, the sample types, the biological contexts and microRNA target gene interactions. Additionally, a pathway enrichment analysis of the collected genes highlights different aspects of OS progression. OS requires pathways commonly deregulated in cancer but also features OS-specific alterations like deregulated osteoclast differentiation. To our knowledge, this is the first effort of an OS database containing manual reviewed and annotated up-to-date OS knowledge. It might be a useful resource especially for the bone tumor research community, as specific

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.

Urban Knowledge and Urban Policy

DEFF Research Database (Denmark)

Andersen, Hans Thor; Atkinson, Robert

2013-01-01

it appears in many shapes and guises ranging from scientific and codified forms of knowledge to everyday forms; what the chapters in this book, and the wider literature show is that there is a wide range of knowledge forms that are often summarised as ‘common sense’, a kind of reasoning based on experience...... in which knowledge appears in many areas of life, including the sciences. On the other hand, formulated (or codified) knowledge is what we can discuss and exchange views about; to organise this debate some basic rules have developed over time.......As we have seen in contemporary societies, particularly in relation to the ‘knowledge-based society and economy’, the role and position of knowledge has acquired increasingly strong and positive connotations; this is an indication that reflection and careful preparation is important before action...

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.

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.

Refeeding syndrome: treatment considerations based on collective analysis of literature case reports.

Science.gov (United States)

Boateng, Akwasi Afriyie; Sriram, Krishnan; Meguid, Michael M; Crook, Martin

2010-02-01

Refeeding syndrome (RFS) represents a group of clinical findings that occur in severely malnourished individuals undergoing nutritional support. Cardiac arrhythmias, multisystem organ dysfunction, and death are the most severe symptoms observed. As the cachectic body attempts to reverse its adaptation to the starved state in response to the nutritional load, symptoms result from fluid and electrolyte imbalances, with hypophosphatemia playing a central role. Because guidelines for feeding the malnourished patient at risk for refeeding syndrome is scarce, we have provided management recommendations based on the knowledge derived from a collection of reported English literature cases of the RFS. A MEDLINE search using keywords including "refeeding syndrome," "RFS," and "refeeding hypophosphatemia" was performed. References from initial cases were utilized for more literature on the subject. We have emphasized the continued importance of managing patients at risk for RFS, compared how management of the severely malnourished patients have evolved over time, and provided comprehensive clinical guidelines based on the sum of experience documented in the case reports for the purpose of supplementing the guidelines available. Based on our review, the most effective means of preventing or treating RFS were the following: recognizing the patients at risk; providing adequate electrolyte, vitamin, and micronutrient supplementation; careful fluid resuscitation; cautious and gradual energy restoration; and monitoring of critical laboratory indices. 2010 Elsevier Inc. All rights reserved.

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

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…

Knowledge exchange processes in organizations and policy arenas: a narrative systematic review of the literature.

Science.gov (United States)

Contandriopoulos, Damien; Lemire, Marc; Denis, Jean-Louis; Tremblay, Emile

2010-12-01

This article presents the main results from a large-scale analytical systematic review on knowledge exchange interventions at the organizational and policymaking levels. The review integrated two broad traditions, one roughly focused on the use of social science research results and the other focused on policymaking and lobbying processes. Data collection was done using systematic snowball sampling. First, we used prospective snowballing to identify all documents citing any of a set of thirty-three seminal papers. This process identified 4,102 documents, 102 of which were retained for in-depth analysis. The bibliographies of these 102 documents were merged and used to identify retrospectively all articles cited five times or more and all books cited seven times or more. All together, 205 documents were analyzed. To develop an integrated model, the data were synthesized using an analytical approach. This article developed integrated conceptualizations of the forms of collective knowledge exchange systems, the nature of the knowledge exchanged, and the definition of collective-level use. This literature synthesis is organized around three dimensions of context: level of polarization (politics), cost-sharing equilibrium (economics), and institutionalized structures of communication (social structuring). The model developed here suggests that research is unlikely to provide context-independent evidence for the intrinsic efficacy of knowledge exchange strategies. To design a knowledge exchange intervention to maximize knowledge use, a detailed analysis of the context could use the kind of framework developed here. © 2010 Milbank Memorial Fund. Published by Wiley Periodicals Inc.

Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support.

Science.gov (United States)

Mohammadhassanzadeh, Hossein; Van Woensel, William; Abidi, Samina Raza; Abidi, Syed Sibte Raza

2017-01-01

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 mechanisms apply patterns from human thought processes, such as generalization, similarity and interpolation, based on attributional, hierarchical, and relational knowledge. Plausible reasoning mechanisms include inductive reasoning , which generalizes the commonalities among the data to induce new rules, and analogical reasoning , which is guided by data similarities to infer new facts. By further leveraging rich, biomedical Semantic Web ontologies to represent medical knowledge, both known and tentative, we increase the accuracy and expressivity of plausible reasoning, and cope with issues such as data heterogeneity, inconsistency and interoperability. In this paper, we present a Semantic Web-based, multi-strategy reasoning approach, which integrates deductive and plausible reasoning and exploits Semantic Web technology to solve complex clinical decision support queries. We evaluated our system using a real-world medical dataset of patients with hepatitis, from which we randomly removed different percentages of data (5%, 10%, 15%, and 20%) to reflect scenarios with increasing amounts of incomplete medical knowledge. To increase the reliability of the results, we generated 5 independent datasets for each percentage of missing values, which resulted in 20 experimental datasets (in addition to the original dataset). The results show that plausibly inferred knowledge extends the coverage of the knowledge base by, on average, 2%, 7%, 12%, and 16% for datasets with, respectively, 5%, 10%, 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...

Knowledge Management System Model for Learning Organisations

Science.gov (United States)

Amin, Yousif; Monamad, Roshayu

2017-01-01

Based on the literature of knowledge management (KM), this paper reports on the progress of developing a new knowledge management system (KMS) model with components architecture that are distributed over the widely-recognised socio-technical system (STS) aspects to guide developers for selecting the most applicable components to support their KM…

[Utilization of tacit knowledge by maternal healthcare providers: a systematic mapping of the literature].

Science.gov (United States)

Calderón Espinosa, Emmanuel; Becerril Montekio, Víctor; Alcalde Rabanal, Jacqueline; García Bello, Luis

2016-01-01

The search for efficient answers to strengthen maternal health care has included various sources of evidence for decision making. In this article, we present a systematic mapping of the scientific literature on the use of tacit knowledge in relation to maternal healthcare. A systematic mapping was conducted of scientific articles published in Spanish and English between 1971 and 2014 following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Of 793 articles, 30 met the inclusion criteria; 60% were from high-income countries and 66.7% were focused on health professionals. We identified a predominance of qualitative methodologies (62%). Four categories regarding the use of tacit knowledge were generated: proposals to improve the organization of the maternal care system (30%) and to improve the care provided to women during the continuum of pregnancy, childbirth and postpartum (26.7%), determination of health workers' perception and skill levels (26.7%) and the interactions between tacit and explicit knowledge in clinical decision making (16.7%). This mapping shows that tacit knowledge is an emerging, innovative and versatile research approach used primarily in high-income countries and that includes interesting possibilities for its use as evidence to improve maternal healthcare, particularly in middle- and low-income countries, where it needs to be strengthened. Copyright © 2015 SESPAS. Published by Elsevier Espana. All rights reserved.

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...

Integrating knowledge seeking into knowledge management models and frameworks

Directory of Open Access Journals (Sweden)

Francois Lottering

2012-02-01

Full Text Available Background: A striking feature of the knowledge management (KM literature is that the standard list of KM processes either subsumes or overlooks the process of knowledge seeking. Knowledge seeking is manifestly under-theorised, making the need to address this gap in KM theory and practice clear and urgent.Objectives: This article investigates the theoretical status of the knowledge-seeking process in extant KM models and frameworks. It also statistically describes knowledge seeking and knowledge sharing practices in a sample of South African companies. Using this data, it proposes a KM model based on knowledge seeking.Method: Knowledge seeking is traced in a number of KM models and frameworks with a specific focus on Han Lai and Margaret Graham’s adapted KM cycle model, which separates knowledge seeking from knowledge sharing. This empirical investigation used a questionnaire to examine knowledge seeking and knowledge sharing practices in a sample of South African companies.Results: This article critiqued and elaborated on the adapted KM cycle model of Lai and Graham. It identified some of the key features of knowledge seeking practices in the workplace. It showed that knowledge seeking and sharing are human-centric actions and that seeking knowledge uses trust and loyalty as its basis. It also showed that one cannot separate knowledge seeking from knowledge sharing.Conclusion: The knowledge seeking-based KM model elaborates on Lai and Graham’s model. It provides insight into how and where people seek and share knowledge in the workplace. The article concludes that it is necessary to cement the place of knowledge seeking in KM models as well as frameworks and suggests that organisations should apply its findings to improving their knowledge management strategies. 

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.

Nurses’ Knowledge and Attitudes toward Complementary Therapies for Cancer: A Review of the Literature

Science.gov (United States)

Christina, Juliana; Abigail, Wendy; Cuthbertson, Lesley A.

2016-01-01

Complementary therapies (CTs) are nonconventional supportive therapies, which are used by the patients with cancer. The use of CTs has been known to alleviate symptoms as a result of chemotherapy and to improve quality of life. However, if CTs are inappropriately used, there may be adverse reactions or no effect resulting in poor support of the cancer treatment. Nurses play an important role in supporting patients with cancer who often seek information regarding CTs. Within their scope of practice, it is expected that nurses have sufficient knowledge about the safety and effective use of CTs, and positive attitudes toward supporting patients who wish to use CTs. This review aims to examine existing literature regarding nurses’ knowledge and attitudes toward CTs for patients with cancer. English language articles obtained from recognized nursing and midwifery databases such as CINAHL, Google Scholar, Medline, ProQuest Central, and Scopus for the period between 2002 and 2015 were searched. A total of 96 articles were retrieved using the search terms with only 13 eligible articles meeting the inclusion criteria. Three major themes were identified by the thematic analysis of reviewed studies: nurses’ knowledge about CTs, nurses’ attitudes toward CTs, and sources information about CTs. The majority of studies investigating nurses’ knowledge and attitudes toward the use of CTs for oncology was conducted in developed countries. Overall, it was identified that nurses need to improve their knowledge and skills about CTs so that they were more confident to assist patients in integrating conventional treatment and CTs for cancer management. PMID:27981167

Nurses' Knowledge and Attitudes toward Complementary Therapies for Cancer: A Review of the Literature.

Science.gov (United States)

Christina, Juliana; Abigail, Wendy; Cuthbertson, Lesley A

2016-01-01

Complementary therapies (CTs) are nonconventional supportive therapies, which are used by the patients with cancer. The use of CTs has been known to alleviate symptoms as a result of chemotherapy and to improve quality of life. However, if CTs are inappropriately used, there may be adverse reactions or no effect resulting in poor support of the cancer treatment. Nurses play an important role in supporting patients with cancer who often seek information regarding CTs. Within their scope of practice, it is expected that nurses have sufficient knowledge about the safety and effective use of CTs, and positive attitudes toward supporting patients who wish to use CTs. This review aims to examine existing literature regarding nurses' knowledge and attitudes toward CTs for patients with cancer. English language articles obtained from recognized nursing and midwifery databases such as CINAHL, Google Scholar, Medline, ProQuest Central, and Scopus for the period between 2002 and 2015 were searched. A total of 96 articles were retrieved using the search terms with only 13 eligible articles meeting the inclusion criteria. Three major themes were identified by the thematic analysis of reviewed studies: nurses' knowledge about CTs, nurses' attitudes toward CTs, and sources information about CTs. The majority of studies investigating nurses' knowledge and attitudes toward the use of CTs for oncology was conducted in developed countries. Overall, it was identified that nurses need to improve their knowledge and skills about CTs so that they were more confident to assist patients in integrating conventional treatment and CTs for cancer management.

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.

Private Science and Public Knowledge: The Committee for the Scientific Investigation of the Claims of the Paranormal and its Use of the Literature.

Science.gov (United States)

Pinch, T. J.; Collins, H. M.

1984-01-01

Shows the part played by formal/informal literatures in the social construction of scientific knowledge, analyzing the work of the "Committee for the Scientific Investigation of the Claims of the Paranormal" (which critically investigates fringe-sciences). Indicates that popular literature can deconstruct facts while scientific…

Paired structures in knowledge representation

DEFF Research Database (Denmark)

Montero, J.; Bustince, H.; Franco de los Ríos, Camilo

2016-01-01

In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can be found in fuzzy logic and multi-valued logic literature. Here...... of the relationships between several existing knowledge representation formalisms, providing a basis from which more expressive models can be later developed....

Recommended use of morphine in neonates, infants and children based on a literature review

DEFF Research Database (Denmark)

Kart, T; Christrup, Lona Louring; Rasmussen, M

1997-01-01

The English language literature has been reviewed in order to evaluate the present knowledge on morphine's metabolism and pharmacokinetics in children. The majority of preterm neonates are capable of glucuronidating morphine, but birth weight; gestational and postnatal age influence the glucuroni......The English language literature has been reviewed in order to evaluate the present knowledge on morphine's metabolism and pharmacokinetics in children. The majority of preterm neonates are capable of glucuronidating morphine, but birth weight; gestational and postnatal age influence...... in term neonates aged 0-57 days, and 23.6 +/- 8.5 ml.min-1.kg-1 in infants and children more than 11 days old....

Knowledge Management, Codification and Tacit Knowledge

Science.gov (United States)

Kimble, Chris

2013-01-01

Introduction: This article returns to a theme addressed in Vol. 8(1) October 2002 of the journal: knowledge management and the problem of managing tacit knowledge. Method: The article is primarily a review and analysis of the literature associated with the management of knowledge. In particular, it focuses on the works of a group of economists who…

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...

Social Media for Knowledge Management

DEFF Research Database (Denmark)

Dyrby, Signe

2013-01-01

of social media as a tool for knowledge management presents an interesting addition to existing knowledge management initiatives. In this research in progress paper, social media for knowledge management is explored through investigating the research question, how can social media influence knowledge...... and show multiple opportunities and challenges for adopting these initiatives into organizational practices. In recent years social media technologies have entered the organizational spheres with the objective of connecting people and enabling them to share and build knowledge. The application and use...... management practices in organizations? The investigation builds on a theoretical reflection of the concepts of knowledge management practices and social media. The method for the theoretical investigation is based in the outline of core literature perspectives dealing with knowledge management practices...

From Evidence-based Management to Management of Non-knowledge

DEFF Research Database (Denmark)

Knudsen, Morten

2017-01-01

Leadership and management are increasingly expected to base themselves on evidence, i.e. knowledge. This article does not disagree that knowledge may be beneficial. Yet, based on sociological insights on the complex relation between knowledge and ignorance, the article argues that more knowledge...

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)

Knowledge management: implications for human service organizations.

Science.gov (United States)

Austin, Michael J; Claassen, Jennette; Vu, Catherine M; Mizrahi, Paola

2008-01-01

Knowledge management has recently taken a more prominent role in the management of organizations as worker knowledge and intellectual capital are recognized as critical to organizational success. This analysis explores the literature of knowledge management including the individual level of tacit and explicit knowledge, the networks and social interactions utilized by workers to create and share new knowledge, and the multiple organizational and managerial factors associated with effective knowledge management systems. Based on the role of organizational culture, structure, leadership, and reward systems, six strategies are identified to assist human service organizations with implementing new knowledge management systems.

Terminological reference of a knowledge-based system: the data dictionary.

Science.gov (United States)

Stausberg, J; Wormek, A; Kraut, U

1995-01-01

The development of open and integrated knowledge bases makes new demands on the definition of the used terminology. The definition should be realized in a data dictionary separated from the knowledge base. Within the works done at a reference model of medical knowledge, a data dictionary has been developed and used in different applications: a term definition shell, a documentation tool and a knowledge base. The data dictionary includes that part of terminology, which is largely independent of a certain knowledge model. For that reason, the data dictionary can be used as a basis for integrating knowledge bases into information systems, for knowledge sharing and reuse and for modular development of knowledge-based systems.

The KnownLeaf literature curation system captures knowledge about Arabidopsis leaf growth and development and facilitates integrated data mining

NARCIS (Netherlands)

Szakonyi, D.; Landeghem, van S.; Baerenfaller, K.; Baeyens, L.; Blomme, J.; Casanova-Saéz, R.; Bodt, De S.; Esteve-Bruna, D.; Fiorani, F.; Gonzalez, N.; Grønlund, J.; Immink, R.G.H.; Jover-Gil, S.; Kuwabara, A.; Muñoz-Nortes, T.; Dijk, van A.D.J.; Wilson-Sánchez, D.; Buchanan-Wollaston, V.; Angenent, G.C.; Peer, Van de Y.; Inzé, D.; Micol, J.L.; Gruissem, W.; Walsh, S.; Hilson, P.

2015-01-01

The information that connects genotypes and phenotypes is essentially embedded in research articles written in natural language. To facilitate access to this knowledge, we constructed a framework for the curation of the scientific literature studying the molecular mechanisms that control leaf growth

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....

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.

Knowledge mobilization in healthcare organizations: a view from the resource-based view of the firm.

Science.gov (United States)

Ferlie, Ewan; Crilly, Tessa; Jashapara, Ashok; Trenholm, Susan; Peckham, Anna; Currie, Graeme

2015-03-01

This short literature review argues that the Resource-Based View (RBV) school of strategic management has recently become of increased interest to scholars of healthcare organizations. RBV links well to the broader interest in more effective Knowledge Mobilization (KM) in healthcare. The paper outlines and discusses key concepts, texts and authors from the RBV tradition and gives recent examples of how RBV concepts have been applied fruitfully to healthcare settings. It concludes by setting out a future research agenda.

Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases

DEFF Research Database (Denmark)

Andreasen, Troels; Bulskov, Henrik; Nilsson, Jørgen Fischer

2013-01-01

language than predicate logic. Natural logic accommodates a variety of scientific parlance, ontologies and domain models. It also supports a semantic net or graph view of the knowledge base. This admits computation of relationships between concepts simultaneously through pathfinding in the knowledge base...

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)

THE DESIGN OF KNOWLEDGE BASE FOR SURFACE RELATIONS BASED PART RECOGNITION APPROACH

Directory of Open Access Journals (Sweden)

Adem ÇİÇEK

2007-01-01

Full Text Available In this study, a new knowledge base for an expert system used in part recognition algorithm has been designed. Parts are recognized by the computer program by comparing face adjacency relations and attributes belonging to each part represented in the rules in the knowledge base developed with face adjacency relations and attributes generated from STEP file of the part. Besides, rule writing process has been quite simplified by generating the rules represented in the knowledge base with an automatic rule writing module developed within the system. With the knowledge base and automatic rule writing module used in the part recognition system, simple, intermediate and complex parts can be recognized by a part recognition program.

Considerations about the implementation of a public knowledge base regarding nanotechnology

International Nuclear Information System (INIS)

Kimmig, Daniel; Marquardt, Clarissa; Nau, Katja; Schmidt, Andreas; Dickerhof, Markus

2014-01-01

Nanotechnology ranks among the key technologies that will bring fundamental changes to basic research, many industry sectors and daily life. However, consumers often miss reliable and understandable information on nanomaterials. To create this transparency, the DaNa project collects and evaluates the latest scientific literature before publishing these on the website www.nanoobjects.info. Though all published articles are designed to meet the needs of different recipient groups, a certain knowledge about nanomaterials is presumed due to the nanomaterial-specific structuring of the website. This poses a barrier for interested laymen who usually have a particular nano-related application in mind. These application-oriented facts on nanomaterials already exist on the website but are scattered throughout the different articles. To overcome this, we first analyzed the state of the scattered information and then assessed requirements for a new tool displaying these facts: storage of extracted knowledge in a homogenous way, visualization options and integration of the new database into the existing content management system. We therefore extended our backend to capture knowledge on a semantically higher level in a database called DaNaVis. Based on this database we can increase the accessibility of DaNa's project results by means of interactive visualization components. (paper)

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...

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.

Knowledge management in Portuguese healthcare institutions.

Science.gov (United States)

Cruz, Sofia Gaspar; Ferreira, Maria Manuela Frederico

2016-06-01

Knowledge management imposes itself as a pressing need for the organizations of several sectors of the economy, including healthcare. to evaluate the perception of healthcare institution collaborators in relation to knowledge management in the institution where they operate and analyze the existence of differences in this perception, based on the institution's management model. a study conducted in a sample consisting of 671 collaborators from 10 Portuguese healthcare institutions with different models of management. In order to assess the knowledge management perception, we used a score designed from and based on items from the scores available in the literature. the perception of moderate knowledge management on the healthcare institutions and the statistically significant differences in knowledge management perception were evidenced in each management model. management knowledge takes place in healthcare institutions, and the current management model determines the way staff at these institutions manage their knowledge.

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 ...

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.

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.

About the conjunction between literature, religion and existential knowledge in the “Memoirs from Beyond the Grave” of Chateaubriand

Directory of Open Access Journals (Sweden)

Aleksandra Kamińska

2015-12-01

Full Text Available The aim of this paper is to present the relationship between literature, religion and existential knowledge in the memorial work of François-René de Chateaubriand. The first main problem is the transmission of universal values represented by Christianity. The second problem are narrator’s tragic experiences that become a source of precious knowledge communicated to the reader. These narrative stakes, reinforced by rhetorical persuasion, are crucial to ensure immortality of the author through the pertinence of his voice addressed to posterity.

Managing Distributed Knowledge Systems

DEFF Research Database (Denmark)

Sørensen, Brian Vejrum; Gelbuda, Modestas

2005-01-01

. This paper contributes to the research on organizations as distributed knowledge systems by addressing two weaknesses of the social practice literature. Firstly, it downplays the importance of formal structure and organizational design and intervention efforts by key organizational members. Secondly, it does......The article argues that the growth of de novo knowledge-based organization depends on managing and coordinating increasingly growing and, therefore, distributed knowledge. Moreover, the growth in knowledge is often accompanied by an increasing organizational complexity, which is a result...... of integrating new people, building new units and adding activities to the existing organization. It is argued that knowledge is not a stable capacity that belongs to any actor alone, but that it is rather an ongoing social accomplishment, which is created and recreated as actors engage in mutual activities...

Nonstructural urban stormwater quality measures: building a knowledge base to improve their use.

Science.gov (United States)

Taylor, André C; Fletcher, Tim D

2007-05-01

This article summarizes a research project that investigated the use, performance, cost, and evaluation of nonstructural measures to improve urban stormwater quality. A survey of urban stormwater managers from Australia, New Zealand, and the United States revealed a widespread trend of increasing use of nonstructural measures among leading stormwater management agencies, with at least 76% of 41 types of nonstructural measures being found to be increasing in use. Data gathered from the survey, an international literature review, and a multicriteria analysis highlighted four nonstructural measures of greatest potential value: mandatory town planning controls that promote the adoption of low-impact development principles and techniques; development of strategic urban stormwater management plans for a city, shire, or catchment; stormwater management measures and programs for construction/building sites; and stormwater management activities related to municipal maintenance operations such as maintenance of the stormwater drainage network and manual litter collections. Knowledge gained on the use and performance of nonstructural measures from the survey, literature review, and three trial evaluation projects was used to develop tailored monitoring and evaluation guidelines for these types of measure. These guidelines incorporate a new evaluation framework based on seven alternative styles of evaluation that range from simply monitoring whether a nonstructural measure has been fully implemented to monitoring its impact on waterway health. This research helps to build the stormwater management industry's knowledge base concerning nonstructural measures and provides a practical tool to address common impediments associated with monitoring and evaluating the performance and cost of these measures.

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)

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...

Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud

Directory of Open Access Journals (Sweden)

Bahar Sateli

2015-12-01

Full Text Available Motivation. Finding relevant scientific literature is one of the essential tasks researchers are facing on a daily basis. Digital libraries and web information retrieval techniques provide rapid access to a vast amount of scientific literature. However, no further automated support is available that would enable fine-grained access to the knowledge ‘stored’ in these documents. The emerging domain of Semantic Publishing aims at making scientific knowledge accessible to both humans and machines, by adding semantic annotations to content, such as a publication’s contributions, methods, or application domains. However, despite the promises of better knowledge access, the manual annotation of existing research literature is prohibitively expensive for wide-spread adoption. We argue that a novel combination of three distinct methods can significantly advance this vision in a fully-automated way: (i Natural Language Processing (NLP for Rhetorical Entity (RE detection; (ii Named Entity (NE recognition based on the Linked Open Data (LOD cloud; and (iii automatic knowledge base construction for both NEs and REs using semantic web ontologies that interconnect entities in documents with the machine-readable LOD cloud.Results. We present a complete workflow to transform scientific literature into a semantic knowledge base, based on the W3C standards RDF and RDFS. A text mining pipeline, implemented based on the GATE framework, automatically extracts rhetorical entities of type Claims and Contributions from full-text scientific literature. These REs are further enriched with named entities, represented as URIs to the linked open data cloud, by integrating the DBpedia Spotlight tool into our workflow. Text mining results are stored in a knowledge base through a flexible export process that provides for a dynamic mapping of semantic annotations to LOD vocabularies through rules stored in the knowledge base. We created a gold standard corpus from computer

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.

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....

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.

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.

Improving patient knowledge about sacral nerve stimulation using a patient based educational video.

Science.gov (United States)

Jeppson, Peter Clegg; Clark, Melissa A; Hampton, Brittany Star; Raker, Christina A; Sung, Vivian W

2013-10-01

We developed a patient based educational video to address the information needs of women considering sacral nerve stimulation for overactive bladder. Five semistructured focus groups were used to identify patient knowledge gaps, information needs, patient acceptable terminology and video content preferences for a patient based sacral nerve stimulation educational video. Each session was transcribed, independently coded by 2 coders and examined using an iterative method. A 16-minute educational video was created to address previously identified knowledge gaps and information needs using patient footage, 3-dimensional animation and peer reviewed literature. We developed a questionnaire to evaluate participant sacral nerve stimulation knowledge and therapy attitudes. We then performed a randomized trial to assess the effect of the educational video vs the manufacturer video on patient knowledge and attitudes using our questionnaire. We identified 10 patient important domains, including 1) anatomy, 2) expectations, 3) sacral nerve stimulation device efficacy, 4) surgical procedure, 5) surgical/device complications, 6) post-procedure recovery, 7) sacral nerve stimulation side effects, 8) postoperative restrictions, 9) device maintenance and 10) general sacral nerve stimulation information. A total of 40 women with overactive bladder were randomized to watch the educational (20) or manufacturer (20) video. Knowledge scores improved in each group but the educational video group had a greater score improvement (76.6 vs 24.2 points, p <0.0001). Women who watched the educational video reported more favorable attitudes and expectations about sacral nerve stimulation therapy. Women with overactive bladder considering sacral nerve stimulation therapy have specific information needs. The video that we developed to address these needs was associated with improved short-term patient knowledge. Copyright © 2013 American Urological Association Education and Research, Inc

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

[Evidence-based effectiveness of road safety interventions: a literature review].

Science.gov (United States)

Novoa, Ana M; Pérez, Katherine; Borrell, Carme

2009-01-01

Only road safety interventions with scientific evidence supporting their effectiveness should be implemented. The objective of this study was to identify and summarize the available evidence on the effectiveness of road safety interventions in reducing road traffic collisions, injuries and deaths. All literature reviews published in scientific journals that assessed the effectiveness of one or more road safety interventions and whose outcome measure was road traffic crashes, injuries or fatalities were included. An exhaustive search was performed in scientific literature databases. The interventions were classified according to the evidence of their effectiveness in reducing road traffic injuries (effective interventions, insufficient evidence of effectiveness, ineffective interventions) following the structure of the Haddon matrix. Fifty-four reviews were included. Effective interventions were found before, during and after the collision, and across all factors: a) the individual: the graduated licensing system (31% road traffic injury reduction); b) the vehicle: electronic stability control system (2 to 41% reduction); c) the infrastructure: area-wide traffic calming (0 to 20%), and d) the social environment: speed cameras (7 to 30%). Certain road safety interventions are ineffective, mostly road safety education, and others require further investigation. The most successful interventions are those that reduce or eliminate the hazard and do not depend on changes in road users' behavior or on their knowledge of road safety issues. Interventions based exclusively on education are ineffective in reducing road traffic injuries.

Ontology-based Brucella vaccine literature indexing and systematic analysis of gene-vaccine association network

Science.gov (United States)

2011-01-01

Background Vaccine literature indexing is poorly performed in PubMed due to limited hierarchy of Medical Subject Headings (MeSH) annotation in the vaccine field. Vaccine Ontology (VO) is a community-based biomedical ontology that represents various vaccines and their relations. SciMiner is an in-house literature mining system that supports literature indexing and gene name tagging. We hypothesize that application of VO in SciMiner will aid vaccine literature indexing and mining of vaccine-gene interaction networks. As a test case, we have examined vaccines for Brucella, the causative agent of brucellosis in humans and animals. Results The VO-based SciMiner (VO-SciMiner) was developed to incorporate a total of 67 Brucella vaccine terms. A set of rules for term expansion of VO terms were learned from training data, consisting of 90 biomedical articles related to Brucella vaccine terms. VO-SciMiner demonstrated high recall (91%) and precision (99%) from testing a separate set of 100 manually selected biomedical articles. VO-SciMiner indexing exhibited superior performance in retrieving Brucella vaccine-related papers over that obtained with MeSH-based PubMed literature search. For example, a VO-SciMiner search of "live attenuated Brucella vaccine" returned 922 hits as of April 20, 2011, while a PubMed search of the same query resulted in only 74 hits. Using the abstracts of 14,947 Brucella-related papers, VO-SciMiner identified 140 Brucella genes associated with Brucella vaccines. These genes included known protective antigens, virulence factors, and genes closely related to Brucella vaccines. These VO-interacting Brucella genes were significantly over-represented in biological functional categories, including metabolite transport and metabolism, replication and repair, cell wall biogenesis, intracellular trafficking and secretion, posttranslational modification, and chaperones. Furthermore, a comprehensive interaction network of Brucella vaccines and genes were

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.)

Managing heterogeneous knowledge: A Theory of External Knowledge Integration

NARCIS (Netherlands)

Kraaijenbrink, Jeroen; Wijnhoven, Alphonsus B.J.M.

2008-01-01

Knowledge integration has been theorised at the levels of organisations and inter-organisational dyads. However, no theory exists yet of the integration of knowledge from an organisation's environment. This paper addresses this void in the literature by presenting a theory of external knowledge

Make it work! : How to facilitate knowledge work in universities

NARCIS (Netherlands)

Groen, B. (Brenda); Sprang, van H. (Hester)

2012-01-01

  Purpose: This paper aims to define the influence of the physical and social dimensions of the work environment on knowledge productivity of academics in Dutch Universities of Applied Sciences. Design/methodology/approach: Literature review; a multiple case study based on literature review

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...

Development of a PubMed Based Search Tool for Identifying Sex and Gender Specific Health Literature.

Science.gov (United States)

Song, Michael M; Simonsen, Cheryl K; Wilson, Joanna D; Jenkins, Marjorie R

2016-02-01

An effective literature search strategy is critical to achieving the aims of Sex and Gender Specific Health (SGSH): to understand sex and gender differences through research and to effectively incorporate the new knowledge into the clinical decision making process to benefit both male and female patients. The goal of this project was to develop and validate an SGSH literature search tool that is readily and freely available to clinical researchers and practitioners. PubMed, a freely available search engine for the Medline database, was selected as the platform to build the SGSH literature search tool. Combinations of Medical Subject Heading terms, text words, and title words were evaluated for optimal specificity and sensitivity. The search tool was then validated against reference bases compiled for two disease states, diabetes and stroke. Key sex and gender terms and limits were bundled to create a search tool to facilitate PubMed SGSH literature searches. During validation, the search tool retrieved 50 of 94 (53.2%) stroke and 62 of 95 (65.3%) diabetes reference articles selected for validation. A general keyword search of stroke or diabetes combined with sex difference retrieved 33 of 94 (35.1%) stroke and 22 of 95 (23.2%) diabetes reference base articles, with lower sensitivity and specificity for SGSH content. The Texas Tech University Health Sciences Center SGSH PubMed Search Tool provides higher sensitivity and specificity to sex and gender specific health literature. The tool will facilitate research, clinical decision-making, and guideline development relevant to SGSH.

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....

A review of higher education image and reputation literature: Knowledge gaps and a research agenda

Directory of Open Access Journals (Sweden)

Amaia Lafuente-Ruiz-de-Sabando

2018-01-01

Full Text Available Higher education institutions are investing increasing resources in order to achieve favourable perceptions among their stakeholders. However, image and reputation management is a complex issue and how stakeholders perceive universities does not always coincide with the image the latter wish to project. For this reason, in this article we address a review of the literature on higher education image and reputation to identify the main knowledge gaps and establish the research lines that merit deeper examination in the future. The gaps identified highlight the need to improve knowledge about the way perceptions (image and reputation of university institutions are shaped, pinpointing the dimensions or essential aspects that influence their formation and determining whether their degree of influence differs when considering the perspectives of different stakeholders or individuals from different geographical areas. Theoretical propositions related to the identified gaps have been set out.

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

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.

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

Role of organizational learning and knowledge management

Directory of Open Access Journals (Sweden)

Haleem Fazal

2017-12-01

Full Text Available This research is based on Electrocell, a US battery manufacturing company, which was facing problems in its marketing and sales departments as evidenced by its low performance. Following a short introduction to the firm, literature reviews the two recently emerged and widely debated topics, that is, organizational learning and knowledge management. It is followed by the reasons for Electrocell’s declination and revival before and after acquisition by Restart, a US cosmetic manufacturing company. Then, Knowledge Sharing Model, General Hierarchical Model of Organizational Commitment, Knowledge Management, and Learning Organization Capacity, and Three Dimensional Model are described and critically analyzed. At the end, Knowledge Management System Conceptual Model is applied on the case study thoroughly and critically analyzed followed by summary. The research contributes to the literature and offers important implications for academics, managers and strategists that why learning is important and how does it matter to an organization.

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

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.

Knowledge discovery in cardiology: A systematic literature review.

Science.gov (United States)

Kadi, I; Idri, A; Fernandez-Aleman, J L

2017-01-01

Data mining (DM) provides the methodology and technology needed to transform huge amounts of data into useful information for decision making. It is a powerful process employed to extract knowledge and discover new patterns embedded in large data sets. Data mining has been increasingly used in medicine, particularly in cardiology. In fact, DM applications can greatly benefit all those involved in cardiology, such as patients, cardiologists and nurses. The purpose of this paper is to review papers concerning the application of DM techniques in cardiology so as to summarize and analyze evidence regarding: (1) the DM techniques most frequently used in cardiology; (2) the performance of DM models in cardiology; (3) comparisons of the performance of different DM models in cardiology. We performed a systematic literature review of empirical studies on the application of DM techniques in cardiology published in the period between 1 January 2000 and 31 December 2015. A total of 149 articles published between 2000 and 2015 were selected, studied and analyzed according to the following criteria: DM techniques and performance of the approaches developed. The results obtained showed that a significant number of the studies selected used classification and prediction techniques when developing DM models. Neural networks, decision trees and support vector machines were identified as being the techniques most frequently employed when developing DM models in cardiology. Moreover, neural networks and support vector machines achieved the highest accuracy rates and were proved to be more efficient than other techniques. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Study on the knowledge management of strategic alliances in high technology enterprises

Institute of Scientific and Technical Information of China (English)

TANG Yu; WANG Hong-qi; WANG Shan-shan

2005-01-01

With the development of knowledge economy, the competition between high technology enterprises has gradually evolved into the competition of core competence based on knowledge, because high technology enterprises are typical knowledge-based enterprises. Few enterprises, especially for high technology firms, have all of the knowledge they need to compete effectively in the marketplace both at home and abroad, so more and more high technology companies are taking the advantage of strategic alliances to get their complementary knowledge. Since knowledge is the source of an enterprise' s competitiveness, knowledge management has become the most important means for enterprises to gain competitive advantage. There has been an increased growth in the literature on strategic alliances in recent decades. But what is less discussed in the existing literature on strategic alliances is the issue of knowledge management of strategic alliances in high technology enterprises. Based on the characteristics of strategic alliances in high technology enterprises, and in line with the implication and the goal of knowledge management, this study tries to delve into this issue. The paper analyzes the key factors relevant to the knowledge management of strategic alliances in high technology enterprises and proposes guide lines on the process and measures that should be taken in the knowledge management of strategic alliances in high technology enterprises.

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.

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.

Knowledge Dynamics Impact on Intellectual Capital in Organizations

Directory of Open Access Journals (Sweden)

Ruxandra BEJINARU

2016-12-01

Full Text Available The purpose of this paper is to show the influence of knowledge dynamics processes upon the intellectual capital in organizations. In the literature, the authors focus on knowledge dynamics and knowledge management or intellectual capital but very few papers discuss the influence of knowledge dynamics upon the structure and functionality of intellectual capital in organizations. We use a conceptual approach based on the theory of multifield organizational knowledge and the theory of organizational integrators to demonstrate that intellectual capital structure results from the organizational knowledge dynamics. The well-known model of intellectual capital based on human capital, structural capital and relational capital appears as a meta-model that can be decomposed into rational capital, emotional capital and spiritual capital in organizations.

Analysing Models as a Knowledge Technology in Transport Planning

DEFF Research Database (Denmark)

Gudmundsson, Henrik

2011-01-01

critical analytic literature on knowledge utilization and policy influence. A simple scheme based in this literature is drawn up to provide a framework for discussing the interface between urban transport planning and model use. A successful example of model use in Stockholm, Sweden is used as a heuristic......Models belong to a wider family of knowledge technologies, applied in the transport area. Models sometimes share with other such technologies the fate of not being used as intended, or not at all. The result may be ill-conceived plans as well as wasted resources. Frequently, the blame...... device to illuminate how such an analytic scheme may allow patterns of insight about the use, influence and role of models in planning to emerge. The main contribution of the paper is to demonstrate that concepts and terminologies from knowledge use literature can provide interpretations of significance...

Impacts of Leadership on Project-Based Organizational Innovation Performance: The Mediator of Knowledge Sharing and Moderator of Social Capital

Directory of Open Access Journals (Sweden)

Junwei Zheng

2017-10-01

Full Text Available With the increasing importance of leadership in project-based organizations, innovation is essential for the sustainable development of construction projects. Since few studies have explored the relationship between leadership and innovation in construction projects, this study fills this research gap and makes a significant theoretical contribution to the existing body of literature. Based on a knowledge-rated and resource-based view, this study aims to investigate various effects of different types of leadership on innovation performance in a construction project-based organization. Therefore, a theoretical model was constructed to explore the mediation mechanism and boundary condition of different types of leadership to improve innovation. The theoretical model was validated with empirical data covering project managers and engineers from the project-based organization in China via regression analysis and path analysis. The results show that transformational leadership and transactional leadership have some positively significant effects on knowledge sharing and innovation performance. Meanwhile, knowledge sharing partially mediates the relationship between transformational leadership and/or transactional leadership and innovation performance. Additionally, by considering different levels of social capital, transformational leadership is likely to have a strong positive impact on innovation performance through knowledge sharing. Our findings ensure a better understanding of the role of leadership, knowledge management, and social capital in the innovation process of construction projects. Therefore, project managers should promote a higher stimulation of a leadership behavior, encouraging knowledge management, and establishing the social capital, thus improving the innovation performance in the project-based organizations in construction projects.

Open innovation: A preliminary model from the Knowledge-based Theory

Directory of Open Access Journals (Sweden)

Rocío González-Sánchez

2011-04-01

Full Text Available Purpose: The open innovation paradigm is an alternative and/or complementary way to knowledge management processes in its various stages, questioning the basic assumptions where some of the technological innovation strategies and processes are based on. The new logic of innovation process exploits knowledge dissemination through new innovation communities, on the one hand, and, considers of strategic value the external access to intangible resources. Thus, this approach supposes an alternative view to the traditional close innovation, focused on the exclusive exploitation of value innovations. This paper aims to contribute to building an integrated model of key factors to success in open innovation processes. It is analyzed for the role that certain key knowledge management decisions have on the results of open innovation projects, to facilitate the change process and provide new capacity or skills to do so. Design/methodology/approach: Through the review of theoretical and empirical literature, we show the main variables related to the functioning of open innovation systems, and establish various propositions about the meaning and intensity of such relationships.Findings: The management of open innovation project improves through three external factors: technical leadership based on experience, the intensive use of ICT, which allows a multilateral communication, and the existence of intermediate agents or facilitators with a strong neutral attitude. The results also depend on internal factors: the link function, the search routines, the establishment of incentive systems to encourage proactivity and organizational culture.Originality/value: In the absence of full proposals to guide effective decision making on both the management of relationships between organizations, as well as factors inherent to each of them, this paper proposes an exploratory model that integrates the key success factors in open innovation processes.

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 ...

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.

Development of a tool for knowledge base verification of expert system based on Design/CPN

International Nuclear Information System (INIS)

Kim, Jong Hyun

1998-02-01

Verification is a necessary work in developing a reliable expert system. 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. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

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.

Models, methods and software for distributed knowledge acquisition for the automated construction of integrated expert systems knowledge bases

International Nuclear Information System (INIS)

Dejneko, A.O.

2011-01-01

Based on an analysis of existing models, methods and means of acquiring knowledge, a base method of automated knowledge acquisition has been chosen. On the base of this method, a new approach to integrate information acquired from knowledge sources of different typologies has been proposed, and the concept of a distributed knowledge acquisition with the aim of computerized formation of the most complete and consistent models of problem areas has been introduced. An original algorithm for distributed knowledge acquisition from databases, based on the construction of binary decision trees has been developed [ru

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

University Knowledge Spillovers & Regional Start-up Rates

DEFF Research Database (Denmark)

Hellerstedt, Karin; Wennberg, Karl; Frederiksen, Lars

2014-01-01

how characteristics of the economic and political milieu within each region influence the ratio of firm births. We find that knowledge spillovers from universities and firm-based R&D strongly affect the start-up rates for both high-tech firms and knowledge-intensive services firms. Further, the start......This chapter investigates how regional start-up rates in the knowledge-intensive services and high-tech industries are influenced by knowledge spillovers from both universities and firm-based R&D activities. Integrating insights from economic geography and organizational ecology into the literature......-up rate of knowledge-intensive service firms is tied more strongly to the supply of university educated individuals and the political regulatory regime within the municipality than start-ups in high-tech industries. This suggests that knowledge-intensive service-start-ups are more susceptible to both...

Knowledge management in a project-oriented organization

DEFF Research Database (Denmark)

Christensen, Karina

2003-01-01

Knowledge management is seen as a metaphorical perspective on management where the managerial focus depends on the epistemological standpoint taken. An identification of three epistemological perspectives accommodates the main body of literature on knowledge management: an artifact oriented...... epistemology that focuses on explicit knowledge, a process oriented epistemology focusing on both tacit and explicit knowledge and the interaction of these types of knowledge and an autopoietic epistemology where knowledge basically always has a tacit dimension. Based on a study of knowledge management...... in the Danish company Crisplant, the paper shos how the three epistemologies bring different aspects of managerial practice forward. By comparing the characteristics of knowledge, the nature of knowledge management activities, how konwledge is created and share it is concluded that awareness of the implications...

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...

Spatial support of knowledge production in higher education

OpenAIRE

Groen, B.H. (Brenda); Sprang, van, H. (Hester); Voordt, van der, T.J.M. (Theo)

2014-01-01

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) a...

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.

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.

The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.

Science.gov (United States)

Read, Warren J; Demetriou, George; Nenadic, Goran; Ruddock, Noel; Stevens, Robert; Winter, Jerry

2016-06-01

The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives. The BioHubKB is the data repository of the IKMS; it employs Semantic Web technologies, especially OWL, to host data about chemical transformations, bio-renewable feedstocks, co-product streams and their chemical components. Access to this knowledge base is provided to other modules within the IKMS through a set of RESTful web services, driven by SPARQL queries to a Sesame back-end. The BioHubKB re-uses several bio-ontologies and bespoke extensions, primarily for chemical feedstocks and products, to form its knowledge organisation schema. Parts of plants form feedstocks, while various processes generate co-product streams that contain certain chemicals. Both chemicals and transformations are associated with certain qualities, which the BioHubKB also attempts to capture. Of immediate commercial and industrial importance is to estimate the cost of particular sets of chemical transformations (leading to candidate surfactants) performed in sequence, and these costs too are captured. Data are sourced from companies' internal knowledge and document stores, and from the publicly available literature. Both text analytics and manual curation play their part in populating the ontology. We describe the prototype IKMS, the BioHubKB and the services that it supports for the IKMS. The BioHubKB can be found via http://biohub.cs.manchester.ac.uk/ontology/biohub-kb.owl .

Structural design systems using knowledge-based techniques

International Nuclear Information System (INIS)

Orsborn, K.

1993-01-01

Engineering information management and the corresponding information systems are of a strategic importance for industrial enterprises. This thesis treats the interdisciplinary field of designing computing systems for structural design and analysis using knowledge-based techniques. Specific conceptual models have been designed for representing the structure and the process of objects and activities in a structural design and analysis domain. In this thesis, it is shown how domain knowledge can be structured along several classification principles in order to reduce complexity and increase flexibility. By increasing the conceptual level of the problem description and representation of the domain knowledge in a declarative form, it is possible to enhance the development, maintenance and use of software for mechanical engineering. This will result in a corresponding increase of the efficiency of the mechanical engineering design process. These ideas together with the rule-based control point out the leverage of declarative knowledge representation within this domain. Used appropriately, a declarative knowledge representation preserves information better, is more problem-oriented and change-tolerant than procedural representations. 74 refs

Novel nonlinear knowledge-based mean force potentials based on machine learning.

Science.gov (United States)

Dong, Qiwen; Zhou, Shuigeng

2011-01-01

The prediction of 3D structures of proteins from amino acid sequences is one of the most challenging problems in molecular biology. An essential task for solving this problem with coarse-grained models is to deduce effective interaction potentials. The development and evaluation of new energy functions is critical to accurately modeling the properties of biological macromolecules. Knowledge-based mean force potentials are derived from statistical analysis of proteins of known structures. Current knowledge-based potentials are almost in the form of weighted linear sum of interaction pairs. In this study, a class of novel nonlinear knowledge-based mean force potentials is presented. The potential parameters are obtained by nonlinear classifiers, instead of relative frequencies of interaction pairs against a reference state or linear classifiers. The support vector machine is used to derive the potential parameters on data sets that contain both native structures and decoy structures. Five knowledge-based mean force Boltzmann-based or linear potentials are introduced and their corresponding nonlinear potentials are implemented. They are the DIH potential (single-body residue-level Boltzmann-based potential), the DFIRE-SCM potential (two-body residue-level Boltzmann-based potential), the FS potential (two-body atom-level Boltzmann-based potential), the HR potential (two-body residue-level linear potential), and the T32S3 potential (two-body atom-level linear potential). Experiments are performed on well-established decoy sets, including the LKF data set, the CASP7 data set, and the Decoys “R”Us data set. The evaluation metrics include the energy Z score and the ability of each potential to discriminate native structures from a set of decoy structures. Experimental results show that all nonlinear potentials significantly outperform the corresponding Boltzmann-based or linear potentials, and the proposed discriminative framework is effective in developing knowledge-based

Preserving and sharing tacit knowledge in a nuclear power plant

International Nuclear Information System (INIS)

Kuronen, T.; Saeaemaenen, K.; Jaervenpaeae, E.; Rintala, N.

2007-01-01

Tacit knowledge of nuclear experts is essential for reliable and competent performance of nuclear power plants. This report discusses preserving and sharing tacit knowledge in nuclear power plant context. Tacit knowledge as well as its structure and content in this complex and safety-critical context are described, and the role of tacit knowledge in expertise is discussed. In order to contribute to tacit knowledge preserving the challenges in and prerequisites for tacit knowledge sharing are identified. In addition, based on empirical case studies and literature, good practices and methods for tacit knowledge sharing are described. The report is based on the results of DIAMOND research project conducted in 2004-2006 in Finnish nuclear power plants, tacit knowledge, nuclear power plant, tacit knowledge sharing methods, expertise. (author abstract)

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.

Grey literature in library and information studies

CERN Document Server

Schopfel, Joachim

2010-01-01

The further rise of electronic publishing has come to change the scale and diversity of grey literature facing librarians and other information practitioners. This compiled work brings together research and authorship over the past decade dealing with both the supply and demand sides of grey literature. While this book is written with students and instructors of Colleges and Schools of Library and Information Science in mind, it likewise serves as a reader for information professionals working in any and all like knowledge-based communities

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.

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.

Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

Directory of Open Access Journals (Sweden)

Milena Abbiati

2016-04-01

Full Text Available Introduction: A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based exam differed from those not selected. Methods: Students applying for medical school (N=311 completed questionnaires assessing motivations for becoming a doctor, learning approaches, personality traits, empathy, and coping styles. Selection was based on the results of MCQ tests. Principal component analysis was used to draw a profile of the students. Differences between selected and non-selected students were examined by Multivariate ANOVAs, and their impact on selection by logistic regression analysis. Results: Students demonstrating a profile of diligence with higher conscientiousness, deep learning approach, and task-focused coping were more frequently selected (p=0.01. Other personal characteristics such as motivation, sociability, and empathy did not significantly differ, comparing selected and non-selected students. Conclusion: Selection through a knowledge-based exam privileged diligent students. It did neither advantage nor preclude candidates with a more humane profile.

KBGIS-2: A knowledge-based geographic information system

Science.gov (United States)

Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.

1986-01-01

The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.

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

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.

Automatic target validation based on neuroscientific literature mining for tractography

Directory of Open Access Journals (Sweden)

Xavier eVasques

2015-05-01

Full Text Available Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human. We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision, meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.

Exploring Knowledge Creation Processes as a Source of Organizational Learning

DEFF Research Database (Denmark)

Brix, Jacob

2017-01-01

The purpose of the study is to reestablish the link between theories of organizational learning and knowledge creation – theories that in research, have been pursued as independent themes for almost two decades. Based on the literature review, I build a framework that proposes how the two streams...... build eight propositions that are used to discuss and extend the organizational learning and knowledge creation literatures and to justify the framework’s applicability. Finally, I present the managerial implications and the conclusions of the study....

Integration, Provenance, and Temporal Queries for Large-Scale Knowledge Bases

OpenAIRE

Gao, Shi

2016-01-01

Knowledge bases that summarize web information in RDF triples deliver many benefits, including support for natural language question answering and powerful structured queries that extract encyclopedic knowledge via SPARQL. Large scale knowledge bases grow rapidly in terms of scale and significance, and undergo frequent changes in both schema and content. Two critical problems have thus emerged: (i) how to support temporal queries that explore the history of knowledge bases or flash-back to th...

Successful Architectural Knowledge Sharing: Beware of Emotions

Science.gov (United States)

Poort, Eltjo R.; Pramono, Agung; Perdeck, Michiel; Clerc, Viktor; van Vliet, Hans

This chapter presents the analysis and key findings of a survey on architectural knowledge sharing. The responses of 97 architects working in the Dutch IT Industry were analyzed by correlating practices and challenges with project size and success. Impact mechanisms between project size, project success, and architectural knowledge sharing practices and challenges were deduced based on reasoning, experience and literature. We find that architects run into numerous and diverse challenges sharing architectural knowledge, but that the only challenges that have a significant impact are the emotional challenges related to interpersonal relationships. Thus, architects should be careful when dealing with emotions in knowledge sharing.

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

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.

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...

A literature-based intervention for older people living with dementia.

Science.gov (United States)

Billington, Josie; Carroll, Janine; Davis, Philip; Healey, Christine; Kinderman, Peter

2013-05-01

While several studies have explored the impact of literature and reading on mental health, there has been relatively little work done on how a literature-based intervention might impact on the behaviours of those living with dementia. The present report addresses the effect that a specific literature-based intervention - Get into Reading, designed and practised by national charity The Reader Organisation - might have on the health and well-being of people living with dementia. This present study arises out of a service evaluation that specifically assessed to what extent the shared-reading intervention impacted upon behaviours symptomatic of dementia. Its aims were: (1) to understand the influence that reading has on older adults with dementia in different health-care environments; (2) to identify staff perceptions of the influence that engagement in a reading group has on older adults living with dementia; and (3) to investigate any changes in dementia symptoms of older adults participating in a reading group. The study employed a mixed-method design conducted within three health-care environments: three care homes, two hospital wards and one day centre. The Neuropsychiatric Inventory Questionnaire (NPI-Q) assessed staff views of any changes in dementia symptom severity for participants in reading groups conducted in the care homes. Semi-structured qualitative interviews were then conducted with staff who attended the reading groups and/or had extensive knowledge of service users involved in all of the health-care settings. Responses to questions were recorded verbatim and then subject to thematic analysis. 61 service users and 20 staff members took part in the overall project. The NPI-Q results indicate that symptom scores were lower during the reading group period than at baseline. These findings were supported by the qualitative interviews, which suggested that three themes were perceived to be important to effective engagement with the reading groups: (1) the

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

Analysis of the relation between knowledge engineering and knowledge management based on the Nonaka and Takeuchi models

Directory of Open Access Journals (Sweden)

Christian Reyes

2007-07-01

Full Text Available The use of the Knowledge Management is fundamental in the creation of value within the companies, being at the present time a new form to obtain competitive advantages in specific market. Also, for the process of value creation is necessary to use specifics Information Technologies that they allow to reach the objectives drawn up when implementing a Knowledge Management project. In this sense, one of the more complete and efficient Information Technologies is the Knowledge Based System that as well comprises of the Knowledge Engineering. This article tries to analyze the existing relation between Knowledge Management, a specific model of knowledge creation, the Knowledge Based System and how this Information Technologies play a very important role in the creation, codification and transference of knowledge.

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

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.

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.

Knowledge based system for control rod programming of BWRs

International Nuclear Information System (INIS)

Fukuzaki, Takaharu; Yoshida, Ken-ichi; Kobayashi, Yasuhiro

1988-01-01

A knowledge based system has been developed to support designers in control rod programming of BWRs. The programming searches through optimal control rod patterns to realize safe and effective burning of nuclear fuel. Knowledge of experienced designers plays the main role in minimizing the number of calculations by the core performance evaluation code. This code predicts power distibution and thermal margins of the nuclear fuel. This knowledge is transformed into 'if-then' type rules and subroutines, and is stored in a knowledge base of the knowledge based system. The system consists of working area, an inference engine and the knowledge base. The inference engine can detect those data which have to be regenerated, call those subroutine which control the user's interface and numerical computations, and store competitive sets of data in different parts of the working area. Using this system, control rod programming of a BWR plant was traced with about 500 rules and 150 subroutines. Both the generation of control rod patterns for the first calculation of the code and the modification of a control rod pattern to reflect the calculation were completed more effectively than in a conventional method. (author)

A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Science.gov (United States)

Vinarti, Retno; Hederman, Lucy

2018-01-01

We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Diseases). Automated prediction requires encoding this knowledge in a form that can produce risk probabilities (e.g. Bayesian Network - BN). The knowledge-base presented in this paper feeds an algorithm that can auto-generate the BN. The knowledge from 234 infectious diseases was compiled. From this compilation, we designed an ontology and five rule types for modelling IDR knowledge in general. The evaluation aims to assess whether the knowledge-base structure, and its application to three disease-country contexts, meets the needs of personalized IDR prediction system. From the evaluation results, the knowledge-base conforms to the system's purpose: personalization of infectious disease risk.

Knowledge-based system for automatic MBR control.

Science.gov (United States)

Comas, J; Meabe, E; Sancho, L; Ferrero, G; Sipma, J; Monclús, H; Rodriguez-Roda, I

2010-01-01

MBR technology is currently challenging traditional wastewater treatment systems and is increasingly selected for WWTP upgrading. MBR systems typically are constructed on a smaller footprint, and provide superior treated water quality. However, the main drawback of MBR technology is that the permeability of membranes declines during filtration due to membrane fouling, which for a large part causes the high aeration requirements of an MBR to counteract this fouling phenomenon. Due to the complex and still unknown mechanisms of membrane fouling it is neither possible to describe clearly its development by means of a deterministic model, nor to control it with a purely mathematical law. Consequently the majority of MBR applications are controlled in an "open-loop" way i.e. with predefined and fixed air scour and filtration/relaxation or backwashing cycles, and scheduled inline or offline chemical cleaning as a preventive measure, without taking into account the real needs of membrane cleaning based on its filtration performance. However, existing theoretical and empirical knowledge about potential cause-effect relations between a number of factors (influent characteristics, biomass characteristics and operational conditions) and MBR operation can be used to build a knowledge-based decision support system (KB-DSS) for the automatic control of MBRs. This KB-DSS contains a knowledge-based control module, which, based on real time comparison of the current permeability trend with "reference trends", aims at optimizing the operation and energy costs and decreasing fouling rates. In practice the automatic control system proposed regulates the set points of the key operational variables controlled in MBR systems (permeate flux, relaxation and backwash times, backwash flows and times, aeration flow rates, chemical cleaning frequency, waste sludge flow rate and recycle flow rates) and identifies its optimal value. This paper describes the concepts and the 3-level architecture

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.

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…

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.

How Wikis can be Used to Manage Knowledge in SMEs

DEFF Research Database (Denmark)

Razmerita, Liana; Kirchner, Kathrin

2011-01-01

Companies are exploring new ways of knowledge sharing, collaboration and communication with employees, partners and customers, using social media tools like wikis, blogs or social networks. This article briefly reviews the literature concerning the introduction of social media into organizations...... and reports a small case study in an IT consulting company following the introduction of a wiki-based solution into its daily practices. The usage of the wiki and its impact on knowledge work are explored. The authors then compare the findings from the literature review with those from the case study...

BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature.

Directory of Open Access Journals (Sweden)

Sunwon Lee

Full Text Available As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets, drugs, and mutations rather than a long list of articles. Some existing tools submit a query to PubMed and process retrieved abstracts to extract information at query time, resulting in a slow response time and limited coverage of only a fraction of the PubMed corpus. Other tools preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results. Further, most existing tools cannot process sophisticated queries such as searches for mutations that co-occur with query terms in the literature. To address these problems, we introduce BEST, a biomedical entity search tool. BEST returns, as a result, a list of 10 different types of biomedical entities including genes, diseases, drugs, targets, transcription factors, miRNAs, and mutations that are relevant to a user's query. To the best of our knowledge, BEST is the only system that processes free text queries and returns up-to-date results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr.

Mining the management literature for insights into implementing evidence-based change in healthcare.

Science.gov (United States)

Harlos, Karen; Tetroe, Jacqueline; Graham, Ian D; Bird, Madeleine; Robinson, Nicole

2012-08-01

We synthesized the management and health literatures for insights into implementing evidence-based change in healthcare drawn from industry-specific data. Because change principles based on evidence often fail to be translated into organizational practice or policy, we sought studies at the nexus of organizational change and knowledge translation. We reviewed five top management journals to identify an initial pool of 3,091 studies, which yielded a final sample of 100 studies. Data were abstracted, verified by the original authors and revised before entry into a database. We employed a systematic narrative synthesis approach using words and text to distill data and explain relationships. We categorized studies by varying levels of relevance for knowledge translation as (1) primary, direct; (2) intermediate; and (3) secondary, indirect. We also identified recurring categories of change-related organizational factors. The current analysis examines these factors in studies of primary relevance to knowledge translation, which we also coded for intervention readiness to reflect how readily change can be implemented. Preliminary Results centred on five change-related categories: Tailoring the Intervention Message; Institutional Links/Social Networks; Training; Quality of Work Relationships; and Fit to Organization. In particular, networks across institutional and individual levels appeared as prominent pathways for changing healthcare organizations. Power dynamics, positive social relations and team structures also played key roles in implementing change and translating it into practice. We analyzed journals in which first authors of these studies typically publish, and found evidence that management and health sciences remain divided. Bridging these disciplines through research syntheses promises a wealth of evidence and insights, well worth mining in the search for change that works in healthcare transformation. Copyright © 2012 Longwoods Publishing.

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)

Sticky knowledge: A possible model for investigating implementation in healthcare contexts

Science.gov (United States)

Elwyn, Glyn; Taubert, Mark; Kowalczuk, Jenny

2007-01-01

Background In health care, a well recognized gap exists between what we know should be done based on accumulated evidence and what we actually do in practice. A body of empirical literature shows organizations, like individuals, are difficult to change. In the business literature, knowledge management and transfer has become an established area of theory and practice, whilst in healthcare it is only starting to establish a firm footing. Knowledge has become a business resource, and knowledge management theorists and practitioners have examined how knowledge moves in organisations, how it is shared, and how the return on knowledge capital can be maximised to create competitive advantage. New models are being considered, and we wanted to explore the applicability of one of these conceptual models to the implementation of evidence-based practice in healthcare systems. Methods The application of a conceptual model called sticky knowledge, based on an integration of communication theory and knowledge transfer milestones, into a scenario of attempting knowledge transfer in primary care. Results We describe Szulanski's model, the empirical work he conducted, and illustrate its potential applicability with a hypothetical healthcare example based on improving palliative care services. We follow a doctor through two different posts and analyse aspects of knowledge transfer in different primary care settings. The factors included in the sticky knowledge model include: causal ambiguity, unproven knowledge, motivation of source, credibility of source, recipient motivation, recipient absorptive capacity, recipient retentive capacity, barren organisational context, and arduous relationship between source and recipient. We found that we could apply all these factors to the difficulty of implementing new knowledge into practice in primary care settings. Discussion Szulanski argues that knowledge factors play a greater role in the success or failure of a knowledge transfer than has

Sticky knowledge: A possible model for investigating implementation in healthcare contexts

Directory of Open Access Journals (Sweden)

Taubert Mark

2007-12-01

Full Text Available Abstract Background In health care, a well recognized gap exists between what we know should be done based on accumulated evidence and what we actually do in practice. A body of empirical literature shows organizations, like individuals, are difficult to change. In the business literature, knowledge management and transfer has become an established area of theory and practice, whilst in healthcare it is only starting to establish a firm footing. Knowledge has become a business resource, and knowledge management theorists and practitioners have examined how knowledge moves in organisations, how it is shared, and how the return on knowledge capital can be maximised to create competitive advantage. New models are being considered, and we wanted to explore the applicability of one of these conceptual models to the implementation of evidence-based practice in healthcare systems. Methods The application of a conceptual model called sticky knowledge, based on an integration of communication theory and knowledge transfer milestones, into a scenario of attempting knowledge transfer in primary care. Results We describe Szulanski's model, the empirical work he conducted, and illustrate its potential applicability with a hypothetical healthcare example based on improving palliative care services. We follow a doctor through two different posts and analyse aspects of knowledge transfer in different primary care settings. The factors included in the sticky knowledge model include: causal ambiguity, unproven knowledge, motivation of source, credibility of source, recipient motivation, recipient absorptive capacity, recipient retentive capacity, barren organisational context, and arduous relationship between source and recipient. We found that we could apply all these factors to the difficulty of implementing new knowledge into practice in primary care settings. Discussion Szulanski argues that knowledge factors play a greater role in the success or failure of a

Knowledge work productivity effect on quality of knowledge work in software development process in SME

Science.gov (United States)

Yusoff, Mohd Zairol; Mahmuddin, Massudi; Ahmad, Mazida

2016-08-01

Knowledge and skill are necessary to develop the capability of knowledge workers. However, there is very little understanding of what the necessary knowledge work (KW) is, and how they influence the quality of knowledge work or knowledge work productivity (KWP) in software development process, including that in small and medium-sized (SME) enterprise. The SME constitutes a major part of the economy and it has been relatively unsuccessful in developing KWP. Accordingly, this paper seeks to explore the influencing dimensions of KWP that effect on the quality of KW in SME environment. First, based on the analysis of the existing literatures, the key characteristics of KW productivity are defined. Second, the conceptual model is proposed, which explores the dimensions of the KWP and its quality. This study analyses data collected from 150 respondents (based on [1], who involve in SME in Malaysia and validates the models by using structural equation modeling (SEM). The results provide an analysis of the effect of KWP on the quality of KW and business success, and have a significant relevance for both research and practice in the SME

"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

Knowledge management: another management fad?

Directory of Open Access Journals (Sweden)

Leonard J. Ponzi

2002-01-01

Full Text Available Knowledge management is a subject of a growth body of literature. While capturing the interest of practitioners and scholars in the mid-1990s, knowledge management remains a broadly defined concept with faddish characteristics. Based on annual counts of article retrieved from Science Citation Index, Social Science Citation Index, and ABI Inform referring to three previous recognized management fad, this paper introduces empirical evidence that proposes that a typical management movement generally reveals itself as a fad in approximately five years. In applying this approach and assumption to the case of knowledge management, the findings suggest that knowledge management is at least living longer than typical fads and perhaps is in the process of establishing itself as a new aspect of management. To further the understanding of knowledge management's development, its interdisciplinary activity and breadth are reported and briefly discussed.

Benchmarks in Tacit Knowledge Skills Instruction

DEFF Research Database (Denmark)

Tackney, Charles T.; Strömgren, Ole; Sato, Toyoko

2006-01-01

of an undergraduate business school education. This paper presents case analysis of the research-oriented participatory education curriculum developed at Copenhagen Business School because it appears uniquely suited, by a curious mix of Danish education tradition and deliberate innovation, to offer an educational......While the knowledge management literature has addressed the explicit and tacit skills needed for successful performance in the modern enterprise, little attention has been paid to date in this particular literature as to how these wide-ranging skills may be suitably acquired during the course...... experience more empowering of essential tacit knowledge skills than that found in educational institutions in other national settings. We specify the program forms and procedures for consensus-based governance and group work (as benchmarks) that demonstrably instruct undergraduates in the tacit skill...

Knowledge-based reasoning in the Paladin tactical decision generation system

Science.gov (United States)

Chappell, Alan R.

1993-01-01

A real-time tactical decision generation system for air combat engagements, Paladin, has been developed. A pilot's job in air combat includes tasks that are largely symbolic. These symbolic tasks are generally performed through the application of experience and training (i.e. knowledge) gathered over years of flying a fighter aircraft. Two such tasks, situation assessment and throttle control, are identified and broken out in Paladin to be handled by specialized knowledge based systems. Knowledge pertaining to these tasks is encoded into rule-bases to provide the foundation for decisions. Paladin uses a custom built inference engine and a partitioned rule-base structure to give these symbolic results in real-time. This paper provides an overview of knowledge-based reasoning systems as a subset of rule-based systems. The knowledge used by Paladin in generating results as well as the system design for real-time execution is discussed.

Undergraduate Nursing Students' Understandings of Mental Health: A Review of the Literature.

Science.gov (United States)

Barry, Sinead; Ward, Louise

2017-02-01

The purpose of this literature review was to identify research and current literature surrounding nursing students' understandings of mental health. The aim is to share findings from an extensive international and national literature review exploring undergraduate nurse education specific to mental health content. Data were collected utilising a comprehensive search of electronic databases including CINAHL (EBSCO), MEDLINE, and PsycINFO 1987-(Ovid) from 2008 to 2016. The initial search terms were altered to include undergraduate, mental health, nursing, education, experience, and knowledge. Three content themes emerged which included: 1. Undergraduate nursing students' knowledge has been considered compromised due to concerns relating to the variation and inconsistencies within the comprehensive nursing curriculums representation of mental health, 2. Undergraduate nursing students knowledge of mental health is thought to be compromised due to the quality of mental health theoretical and experiential learning opportunities, and 3. Research indicates that nursing students' knowledge of mental health was influenced by their experience of undertaking mental health content. Based on these findings greater consideration of students' understandings of mental health is required.

Building organisational cyber resilience: A strategic knowledge-based view of cyber security management.

Science.gov (United States)

Ferdinand, Jason

The concept of cyber resilience has emerged in recent years in response to the recognition that cyber security is more than just risk management. Cyber resilience is the goal of organisations, institutions and governments across the world and yet the emerging literature is somewhat fragmented due to the lack of a common approach to the subject. This limits the possibility of effective collaboration across public, private and governmental actors in their efforts to build and maintain cyber resilience. In response to this limitation, and to calls for a more strategically focused approach, this paper offers a knowledge-based view of cyber security management that explains how an organisation can build, assess, and maintain cyber resilience.

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

Asia and Europe, knowledge economies in encounter

NARCIS (Netherlands)

Marien van den Boom; Dr. Daan Andriessen

2006-01-01

With the rise of the knowledge-based economy in Asia, Western-dominated organizational literature is being exported to Asian countries. There is a huge interest from businesses and universities in China, Korea, Taiwan, Indonesia, Malaysia, Singapore, and other countries in Asia and the Middle-East

Knowledge and knowledge bases in the learning process og polish companies

DEFF Research Database (Denmark)

Lorentzen, Anne

2003-01-01

strategies of which are analysed and compared. These strategies have much in common and can be seen as quite successful. Some common problems also exist in relation to mismatches within and between the different knowledge bases. The differences are none the less interesting to consider. They are due......The paper deals with the learning and innovation strategies of manufacturing companies in the economies of transformation. The point of departure is the development of a theoretical framework dealing innovation, knowledge and learning. The case is two manufacturing companies in Poland, the learning...

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)

A knowledge-based system for prototypical reasoning

Science.gov (United States)

Lieto, Antonio; Minieri, Andrea; Piana, Alberto; Radicioni, Daniele P.

2015-04-01

In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning 'conceptual' capabilities of standard ontology-based systems.

IGENPRO knowledge-based digital system for process transient diagnostics and management

International Nuclear Information System (INIS)

Morman, J.A.; Reifman, J.; Vitela, J.E.; Wei, T.Y.C.; Applequist, C.A.; Hippely, P.; Kuk, W.; Tsoukalas, L.H.

1998-01-01

Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R and D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R and D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management. (author)

IGENPRO knowledge-based digital system for process transient diagnostics and management

International Nuclear Information System (INIS)

Morman, J.A.; Reifman, J.; Wei, T.Y.C.

1997-01-01

Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R ampersand D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R ampersand D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management

Emotional Knowledge: the Hidden Part of the Knowledge Iceberg

Directory of Open Access Journals (Sweden)

Contantin BRĂTIANU

2014-06-01

Full Text Available According to Daniel Kahneman (2011, our thinking process is based on two systems: system 1 operates automatically and quickly, with little awareness of voluntary control, system2 operates slowly and constructs thoughts in a logic order. System 1 processes actually emotional knowledge using our unconscious cognitive capability. Cognitive scientists discovered that we are primarily emotional decision makers, which means that managers and leaders need to rely on their emotional knowledge. The purpose of this paper is to present a qualitative and quantitative research concerning the paradox of emotional knowledge. That means that on one hand most of us ignore emotional knowledge by identifying knowledge with cognitive knowledge, and on the other hand by using emotional knowledge in decision making. The qualitative research has been done by reflecting on knowledge management, strategic management and change management literature concerning emotional knowledge and emotional intelligence, while the quantitative research has been done by conceiving a questionnaire and using it in an academic environment. A total of 1200 questionnaires were distributed to the students of Bucharest University of Economic Studies, and we got a response rate of 37%. Each questionnaire contains 40 questions concerning the awareness, education, transfer, and management of emotional knowledge. The data has been processed with the help of the specialized software SPSS version 19, and AMOS version 18. Statistical analysis includes both exploratory and confirmatory factorial analysis. The results of the statistical analysis reveal the main influence factors affecting our understanding of emotional knowledge, the way we learn through education about emotional knowledge, the way this knowledge is transferred, and the importance of using it by managers and leaders.

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...

Development of a Knowledge Base for Enduser Consultation of AAL-Systems.

Science.gov (United States)

Röll, Natalie; Stork, Wilhelm; Rosales, Bruno; Stephan, René; Knaup, Petra

2016-01-01

Manufacturer information, user experiences and product availability of assistive living technologies are usually not known to citizens or consultation centers. The different knowledge levels concerning the availability of technology shows the need for building up a knowledge base. The aim of this contribution is the definition of requirements in the development of knowledge bases for AAL consultations. The major requirements, such as a maintainable and easy to use structure were implemented into a web based knowledge base, which went productive in ~3700 consulting interviews of municipal technology information centers. Within this field phase the implementation of the requirements for a knowledge base in the field of AAL consulting was evaluated and further developed.

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

Medication-indication knowledge bases: a systematic review and critical appraisal.

Science.gov (United States)

Salmasian, Hojjat; Tran, Tran H; Chase, Herbert S; Friedman, Carol

2015-11-01

Medication-indication information is a key part of the information needed for providing decision support for and promoting appropriate use of medications. However, this information is not readily available to end users, and a lot of the resources only contain this information in unstructured form (free text). A number of public knowledge bases (KBs) containing structured medication-indication information have been developed over the years, but a direct comparison of these resources has not yet been conducted. We conducted a systematic review of the literature to identify all medication-indication KBs and critically appraised these resources in terms of their scope as well as their support for complex indication information. We identified 7 KBs containing medication-indication data. They notably differed from each other in terms of their scope, coverage for on- or off-label indications, source of information, and choice of terminologies for representing the knowledge. The majority of KBs had issues with granularity of the indications as well as with representing duration of therapy, primary choice of treatment, and comedications or comorbidities. This is the first study directly comparing public KBs of medication indications. We identified several gaps in the existing resources, which can motivate future research. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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.

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.

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...

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.

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

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.

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)

LitPathExplorer: a confidence-based visual text analytics tool for exploring literature-enriched pathway models.

Science.gov (United States)

Soto, Axel J; Zerva, Chrysoula; Batista-Navarro, Riza; Ananiadou, Sophia

2018-04-15

Pathway models are valuable resources that help us understand the various mechanisms underpinning complex biological processes. Their curation is typically carried out through manual inspection of published scientific literature to find information relevant to a model, which is a laborious and knowledge-intensive task. Furthermore, models curated manually cannot be easily updated and maintained with new evidence extracted from the literature without automated support. We have developed LitPathExplorer, a visual text analytics tool that integrates advanced text mining, semi-supervised learning and interactive visualization, to facilitate the exploration and analysis of pathway models using statements (i.e. events) extracted automatically from the literature and organized according to levels of confidence. LitPathExplorer supports pathway modellers and curators alike by: (i) extracting events from the literature that corroborate existing models with evidence; (ii) discovering new events which can update models; and (iii) providing a confidence value for each event that is automatically computed based on linguistic features and article metadata. Our evaluation of event extraction showed a precision of 89% and a recall of 71%. Evaluation of our confidence measure, when used for ranking sampled events, showed an average precision ranging between 61 and 73%, which can be improved to 95% when the user is involved in the semi-supervised learning process. Qualitative evaluation using pair analytics based on the feedback of three domain experts confirmed the utility of our tool within the context of pathway model exploration. LitPathExplorer is available at http://nactem.ac.uk/LitPathExplorer_BI/. sophia.ananiadou@manchester.ac.uk. Supplementary data are available at Bioinformatics online.

Knowledge Management in Doctoral Education toward Knowledge Economy

Science.gov (United States)

Stamou, Adamantia

2017-01-01

Purpose: The purpose of this paper is to investigate the role and the scope of knowledge management (KM) in doctoral education, in the emerging knowledge economy (KE) context, and the recommendation of a framework for KM in doctoral education. Design/Methodology/Approach: An extended literature analysis was contacted to elaborate the role and the…

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.

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...

EVALUATING HUMAN CAPITAL IN A KNOWLEDGE – BASED 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.

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.

The impact of learning disabilities on adulthood: a review of the evidenced-based literature for research and practice in adult education.

Science.gov (United States)

Gerber, Paul J

2012-01-01

It is now well established that learning disabilities (LD) persist into the adult years, yet despite a developing literature base in this area, there is a paucity of evidence-based research to guide research and practice. Consistent with the demands of the adult stage of development, autonomy and self-determination are crucial to quality-of-life issues to adults in general, and specifically to adults with LD. There are many areas of functioning in which adults need to adapt successfully, such as employment, family, social and emotional, daily living routines, community, and recreation and leisure. In essence, there are a myriad of challenges and outcomes as adults navigate the trials and tribulations of LD as it manifests itself into adulthood. This review of the extant evidence-based literature seeks to discover relevant knowledge that can be shared with practitioners who serve adults with LD in a variety of professional and volunteer roles, particularly in adult education settings.

Space nuclear reactor system diagnosis: Knowledge-based approach

International Nuclear Information System (INIS)

Ting, Y.T.D.

1990-01-01

SP-100 space nuclear reactor system development is a joint effort by the Department of Energy, the Department of Defense and the National Aeronautics and Space Administration. The system is designed to operate in isolation for many years, and is possibly subject to little or no remote maintenance. This dissertation proposes a knowledge based diagnostic system which, in principle, can diagnose the faults which can either cause reactor shutdown or lead to another serious problem. This framework in general can be applied to the fully specified system if detailed design information becomes available. The set of faults considered herein is identified based on heuristic knowledge about the system operation. The suitable approach to diagnostic problem solving is proposed after investigating the most prevalent methodologies in Artificial Intelligence as well as the causal analysis of the system. Deep causal knowledge modeling based on digraph, fault-tree or logic flowgraph methodology would present a need for some knowledge representation to handle the time dependent system behavior. A proposed qualitative temporal knowledge modeling methodology, using rules with specified time delay among the process variables, has been proposed and is used to develop the diagnostic sufficient rule set. The rule set has been modified by using a time zone approach to have a robust system design. The sufficient rule set is transformed to a sufficient and necessary one by searching the whole knowledge base. Qualitative data analysis is proposed in analyzing the measured data if in a real time situation. An expert system shell - Intelligence Compiler is used to develop the prototype system. Frames are used for the process variables. Forward chaining rules are used in monitoring and backward chaining rules are used in diagnosis

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.

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...

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, ...

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 ...

Computer based extraction of phenoptypic features of human congenital anomalies from the digital literature with natural language processing techniques.

Science.gov (United States)

Karakülah, Gökhan; Dicle, Oğuz; Koşaner, Ozgün; Suner, Aslı; Birant, Çağdaş Can; Berber, Tolga; Canbek, Sezin

2014-01-01

The lack of laboratory tests for the diagnosis of most of the congenital anomalies renders the physical examination of the case crucial for the diagnosis of the anomaly; and the cases in the diagnostic phase are mostly being evaluated in the light of the literature knowledge. In this respect, for accurate diagnosis, ,it is of great importance to provide the decision maker with decision support by presenting the literature knowledge about a particular case. Here, we demonstrated a methodology for automated scanning and determining of the phenotypic features from the case reports related to congenital anomalies in the literature with text and natural language processing methods, and we created a framework of an information source for a potential diagnostic decision support system for congenital anomalies.

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

Optimal phase estimation with arbitrary a priori knowledge

International Nuclear Information System (INIS)

Demkowicz-Dobrzanski, Rafal

2011-01-01

The optimal-phase estimation strategy is derived when partial a priori knowledge on the estimated phase is available. The solution is found with the help of the most famous result from the entanglement theory: the positive partial transpose criterion. The structure of the optimal measurements, estimators, and the optimal probe states is analyzed. This Rapid Communication provides a unified framework bridging the gap in the literature on the subject which until now dealt almost exclusively with two extreme cases: almost perfect knowledge (local approach based on Fisher information) and no a priori knowledge (global approach based on covariant measurements). Special attention is paid to a natural a priori probability distribution arising from a diffusion process.

Knowledge-Based Reinforcement Learning for Data Mining

Science.gov (United States)

Kudenko, Daniel; Grzes, Marek

experts have developed heuristics that help them in planning and scheduling resources in their work place. However, this domain knowledge is often rough and incomplete. When the domain knowledge is used directly by an automated expert system, the solutions are often sub-optimal, due to the incompleteness of the knowledge, the uncertainty of environments, and the possibility to encounter unexpected situations. RL, on the other hand, can overcome the weaknesses of the heuristic domain knowledge and produce optimal solutions. In the talk we propose two techniques, which represent first steps in the area of knowledge-based RL (KBRL). The first technique [1] uses high-level STRIPS operator knowledge in reward shaping to focus the search for the optimal policy. Empirical results show that the plan-based reward shaping approach outperforms other RL techniques, including alternative manual and MDP-based reward shaping when it is used in its basic form. We showed that MDP-based reward shaping may fail and successful experiments with STRIPS-based shaping suggest modifications which can overcome encountered problems. The STRIPSbased method we propose allows expressing the same domain knowledge in a different way and the domain expert can choose whether to define an MDP or STRIPS planning task. We also evaluated the robustness of the proposed STRIPS-based technique to errors in the plan knowledge. In case that STRIPS knowledge is not available, we propose a second technique [2] that shapes the reward with hierarchical tile coding. Where the Q-function is represented with low-level tile coding, a V-function with coarser tile coding can be learned in parallel and used to approximate the potential for ground states. In the context of data mining, our KBRL approaches can also be used for any data collection task where the acquisition of data may incur considerable cost. In addition, observing the data collection agent in specific scenarios may lead to new insights into optimal data

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

Knowledge management as a means of developing a firm’s competitive advantage

Directory of Open Access Journals (Sweden)

Tomaž Čater

2001-01-01

Full Text Available Knowledge management is one of the most popular themes of modern scientific literature. However, in spite of all the published research on the importance of knowledge management, there is little said about knowledge as a direct source of a firm’s competitive advantage. In the past decades, three main hypotheses on the sources of a firm’s competitive advantage were developed; namely, the industrial organization, the resource-based and the capability-based hypotheses. In this paper, we argue that the knowledge-based hypothesis can and should be considered as the fourth tantamount hypothesis on how the sources of the competitive advantage of a firm can be explained.

Curricular Space Allocated for Dance Content in Physical Education Teacher Education Programs: A Literature Review

Science.gov (United States)

Marquis, Jenée Marie; Metzler, Mike

2017-01-01

This literature review examines curricular space allocated to activity based/movement content courses in Physical Education Teacher Education (PETE) pre-service programs, specifically focusing on how dance content knowledge and pedagogical content knowledge are addressed within those programs. This review includes original empirical research…

Firm Search for External Knowledge

DEFF Research Database (Denmark)

Sofka, Wolfgang; Grimpe, Christoph

2012-01-01

ignored the institutional context that provides or denies access to external knowledge at the country level. Combining institutional and knowledge search theory, we suggest that the market orientation of the institutional environment and the magnitude of institutional change influence when firms begin......The innovation performance of modern firms is increasingly determined by their ability to search and absorb external knowledge. However, after a certain threshold firms "oversearch" their environment and innovation performance declines. In this paper, we argue that prior literature has largely...... to experience the negative performance effects of oversearch. Based on a comprehensive sample of almost 8,000 firms from ten European countries, we find that institutions matter considerably for firms' search activity. Higher market orientation of institutions increases the effectiveness of firms' search...

Integrated knowledge base tool for acquisition and verification of NPP alarm systems

International Nuclear Information System (INIS)

Park, Joo Hyun; Seong, Poong Hyun

1998-01-01

Knowledge acquisition and knowledge base verification are important activities in developing knowledge-based systems such as alarm processing systems. In this work, we developed the integrated tool, for knowledge acquisition and verification of NPP alarm processing systems, by using G2 tool. The tool integrates document analysis method and ECPN matrix analysis method, for knowledge acquisition and knowledge verification, respectively. This tool enables knowledge engineers to perform their tasks from knowledge acquisition to knowledge verification consistently

Uncovering tacit knowledge: a pilot study to broaden the concept of knowledge in knowledge translation.

Science.gov (United States)

Kothari, Anita R; Bickford, Julia J; Edwards, Nancy; Dobbins, Maureen J; Meyer, Mechthild

2011-08-18

All sectors in health care are being asked to focus on the knowledge-to-practice gap, or knowledge translation, to increase service effectiveness. A social interaction approach to knowledge translation assumes that research evidence becomes integrated with previously held knowledge, and practitioners build on and co-create knowledge through mutual interactions. Knowledge translation strategies for public health have not provided anticipated positive changes in evidence-based practice, possibly due in part to a narrow conceptualization of knowledge. More work is needed to understand the role of tacit knowledge in decision-making and practice. This pilot study examined how health practitioners applied tacit knowledge in public health program planning and implementation. This study used a narrative approach, where teams from two public health units in Ontario, Canada were conveniently selected. Respondents participated in individual interviews and focus groups at each site. Questions were designed to understand the role of tacit knowledge as it related to the program planning process. Data were analyzed through a combination of content analysis and thematic comparison. The findings highlighted two major aspects of knowledge that arose: the use of tacit knowledge and the integration of tacit and explicit knowledge. Tacit knowledge included: past experiences, organization-specific knowledge, community contextual knowledge, and the recognition of the tacit knowledge of others. Explicit knowledge included: research literature, the Internet, popular magazines, formal assessments (surveys and interviews), legislation and regulations. Participants sometimes deliberately combined tacit and explicit knowledge sources in planning. This pilot demonstrated that front-line public health workers draw upon both tacit knowledge and explicit knowledge in their everyday lived reality. Further, tacit knowledge plays an important role in practitioners' interpretation and implementation

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.

Changes in lower limb muscle function and muscle mass following exercise-based interventions in patients with chronic obstructive pulmonary disease: A review of the English-language literature.

Science.gov (United States)

De Brandt, Jana; Spruit, Martijn A; Hansen, Dominique; Franssen, Frits Me; Derave, Wim; Sillen, Maurice Jh; Burtin, Chris

2018-05-01

Chronic obstructive pulmonary disease (COPD) patients often experience lower limb muscle dysfunction and wasting. Exercise-based training has potential to improve muscle function and mass, but literature on this topic is extensive and heterogeneous including numerous interventions and outcome measures. This review uses a detailed systematic approach to investigate the effect of this wide range of exercise-based interventions on muscle function and mass. PUBMED and PEDro databases were searched. In all, 70 studies ( n = 2504 COPD patients) that implemented an exercise-based intervention and reported muscle strength, endurance, or mass in clinically stable COPD patients were critically appraised. Aerobic and/or resistance training, high-intensity interval training, electrical or magnetic muscle stimulation, whole-body vibration, and water-based training were investigated. Muscle strength increased in 78%, muscle endurance in 92%, and muscle mass in 88% of the cases where that specific outcome was measured. Despite large heterogeneity in exercise-based interventions and outcome measures used, most exercise-based trials showed improvements in muscle strength, endurance, and mass in COPD patients. Which intervention(s) is (are) best for which subgroup of patients remains currently unknown. Furthermore, this literature review identifies gaps in the current knowledge and generates recommendations for future research to enhance our knowledge on exercise-based interventions in COPD patients.

Charcoal and charcoal-based dentifrices: A literature review.

Science.gov (United States)

Brooks, John K; Bashirelahi, Nasir; Reynolds, Mark A

2017-09-01

Sales of charcoal dentifrices and powders have rapidly emerged into the Internet marketplace. The authors conducted a literature review to examine the efficacy and safety of charcoal and charcoal-based dentifrices. The authors searched the MEDLINE and Scopus databases for clinical studies on the use of charcoal and charcoal-based dentifrices and laboratory investigations on the bioactivity or toxicity of charcoal and charcoal-based dentifrices, published through February 2017. The authors used a defined search strategy to identify randomized, controlled clinical trials with a follow-up duration of 3 months or longer. In addition, the authors selected the first 50 consecutive charcoal dentifrices from Google.com and Amazon.com for ascertainment of product assortment and advertising promotions. The authors' literature search identified 118 potentially eligible articles. Thirteen studies reported brushing the teeth with raw charcoal or soot; however, none of these studies met the inclusion criteria. Two studies offered nonspecific caries reductions, 3 studies reported deleterious outcomes (increased caries, enamel abrasion, nonquantified negative impact), and 1 study indicated only that brushing with raw charcoal had no adverse effects on oral hygiene. Seven other studies reported only on the use of charcoal for oral hygiene. Internet advertisements included unsubstantiated therapeutic claims-such as antibacterial, antifungal, antiviral, and oral detoxification, as well as potentially misleading product assertions. One-third of the charcoal dentifrices contained bentonite clay, and 1 contained betel leaves. The results of this literature review showed insufficient clinical and laboratory data to substantiate the safety and efficacy claims of charcoal and charcoal-based dentifrices. Larger-scale and well-designed studies are needed to establish conclusive evidence. Dental clinicians should advise their patients to be cautious when using charcoal and charcoal-based

A knowledge-base verification of NPP expert systems using extended Petri nets

International Nuclear Information System (INIS)

Kwon, Il Won; Seong, Poong Hyun

1995-01-01

The verification phase of knowledge base is an important part for developing reliable expert systems, especially in nuclear industry. Although several strategies or tools have been developed to perform potential error checking, they often neglect the reliability of verification methods. Because a Petri net provides a uniform mathematical formalization of knowledge base, it has been employed for knowledge base verification. In this work, we devise and suggest an automated tool, called COKEP (Checker Of Knowledge base using Extended Petri net), for detecting incorrectness, inconsistency, and incompleteness in a knowledge base. The scope of the verification problem is expanded to chained errors, unlike previous studies that assumed error incidence to be limited to rule pairs only. In addition, we consider certainty factor in checking, because most of knowledge bases have certainty factors

Proximity and Distance in Knowledge Relationships : From Micro to Structural Considerations based on Territorial Knowledge Dynamics (TKDs)

NARCIS (Netherlands)

Crespo, Joan; Vicente, Jérôme

2016-01-01

Crespo J. and Vicente J. Proximity and distance in knowledge relationships: from micro to structural considerations based on territorial knowledge dynamics (TKDs), Regional Studies. Among the key parameters identified in territorial knowledge dynamics (TKDs), this paper focuses on the balance and

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.

Knowledges, Specialisation and Economic Evolution

DEFF Research Database (Denmark)

Andersen, Esben Sloth

2002-01-01

The purpose of the paper is to integrate parts of the emerging modern literature on the division of labour and the division of knowledge as factors determining economic organisation and economic growth and development. The solution is a firm-based model of a pure labour economy with multiactivity...... production, fusions and fissions of firms, specialisation and exchange, markets for intermediate goods, and specialisation of R&D....

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.

Evidence-based surgery: knowledge, attitudes, and perceived barriers among surgical trainees.

Science.gov (United States)

Mittal, Rohin; Perakath, Benjamin

2010-01-01

This study was conducted to assess the knowledge and attitude of surgical trainees toward evidence-based medicine (EBM) and their perceived barriers to its practice. The McColl questionnaire and the BARRIERS scale were modified and incorporated into a single questionnaire, which was administered to all surgical trainees attending a Continuing Surgical Education meeting. Department of Surgery, Christian Medical College, Vellore, India. One hundred ten surgical trainees from 22 medical colleges. In all, 84.5% (93/110) trainees returned the questionnaire. The attitudes toward EBM were welcoming, although individual participants reported they welcomed EBM more than their colleagues did. Participants agreed that EBM was useful in everyday practice and that it improved patient care. About 50% of actual practice was considered evidence based. In all, 12.6% (10/89) of participants had received formal training in EBM, and 64.3% (54/84) of participants were aware of the Cochrane database of systemic reviews, but only 35.7% (30/84) read it regularly. Also, 67.8% (61/90) of respondents used protocols and guidelines developed by colleagues. However, 61.5% (56/91) of participants were interested in learning the skills of EBM. The terms absolute risk, relative risk, and clinical effectiveness were understood by >80% of respondents, whereas publication bias, confidence interval, and heterogeneity were poorly understood. The major barriers to practice of EBM were the inability to understand statistical analysis, inadequate facilities for implementation, lack of a single compiled source of literature, relevant literature not being readily available, and insufficient time on the job. Surgical trainees have a positive attitude towards EBM and have some familiarity with the common terms used in EBM. There is a need to increase awareness of, and provide access to, available sources of medical literature. Formal training in EBM, as well as basic statistical analysis, should form a part

Knowledge transfer and expatriation practices in MNCs

DEFF Research Database (Denmark)

Minbaeva, Dana; Michailova, Snejina

2003-01-01

) the willingness ofexpatriates to transfer the knowledge they possess from the headquarters to therespective subsidiaries. By stepping on two bodies of literature, namely theknowledge transfer literature and the expatriation literature, we suggest that MNCsmay enhance the expatriates' willingness to transfer...... 92 subsidiaries of Danish MNCslocated in 11 countries.Key words: knowledge transfer, MNC, expatriation, dissemination capacity...

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

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.

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)

Knowledge-based network ties in early rapidly internationalising small firms

DEFF Research Database (Denmark)

Masango, Shingairai Grace; Marinova, Svetla Trifonova

2014-01-01

strong knowledge-based contacts. The ERISF acts as the source that provides the technical information and knowledge, which is then adopted by their network partners. This means that the ERISF’s product and technological capabilities drive the international knowledge creation process. The findings provide...... a holistic characterisation of the concept of knowledge in ERISF internationalisation. Within their interorganisational relationships, ERISFs are involved in knowledge creation, knowledge transfer and knowledge adoption activities. Network ties developed in existing knowledge pools are extended to new...

PDA: A coupling of knowledge and memory for case-based reasoning

Science.gov (United States)

Bharwani, S.; Walls, J.; Blevins, E.

1988-01-01

Problem solving in most domains requires reference to past knowledge and experience whether such knowledge is represented as rules, decision trees, networks or any variant of attributed graphs. Regardless of the representational form employed, designers of expert systems rarely make a distinction between the static and dynamic aspects of the system's knowledge base. The current paper clearly distinguishes between knowledge-based and memory-based reasoning where the former in its most pure sense is characterized by a static knowledge based resulting in a relatively brittle expert system while the latter is dynamic and analogous to the functions of human memory which learns from experience. The paper discusses the design of an advisory system which combines a knowledge base consisting of domain vocabulary and default dependencies between concepts with a dynamic conceptual memory which stores experimental knowledge in the form of cases. The case memory organizes past experience in the form of MOPs (memory organization packets) and sub-MOPs. Each MOP consists of a context frame and a set of indices. The context frame contains information about the features (norms) common to all the events and sub-MOPs indexed under it.

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...

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)

Systematic review of the literature on simulation in nursing education.

Science.gov (United States)

Norman, Jamil

2012-01-01

Simulation-based learning is an educational intervention which creates an environment that is conducive to experiential learning. Despite the prevalence of research on the influence of simulation on nursing education, there is a dearth of literature on the effectiveness of simulation-based learning. This systematic review examines literature on simulation outcomes in nursing education from the years 2000-2010. The electronic databases reviewed for the systematic review of the literature included: CINAHL Plus, Medline, Health Source: Nursing/Academic Education, Google Scholar, and Digital Dissertations and Theses through ProQuest. The MeSH search terms included "simulation outcomes measurement" and "nursing education". Seventeen studies were included in the review of the literature. The literature was categorized into three themes; internal outcomes, external outcomes, and clinical evaluation. The available literature on simulation and nursing education provides evidence that that simulation is useful in creating a learning environment which contributes to knowledge, skills, safety, and confidence. This systematic review of the literature revealed a gap in the literature pertaining to the transfer of these outcomes to the clinical setting, and lays a foundation for further research on outcomes specific to simulation and nursing education.

Literature-based condition-specific miRNA-mRNA target prediction.

Directory of Open Access Journals (Sweden)

Minsik Oh

Full Text Available miRNAs are small non-coding RNAs that regulate gene expression by binding to the 3'-UTR of genes. Many recent studies have reported that miRNAs play important biological roles by regulating specific mRNAs or genes. Many sequence-based target prediction algorithms have been developed to predict miRNA targets. However, these methods are not designed for condition-specific target predictions and produce many false positives; thus, expression-based target prediction algorithms have been developed for condition-specific target predictions. A typical strategy to utilize expression data is to leverage the negative control roles of miRNAs on genes. To control false positives, a stringent cutoff value is typically set, but in this case, these methods tend to reject many true target relationships, i.e., false negatives. To overcome these limitations, additional information should be utilized. The literature is probably the best resource that we can utilize. Recent literature mining systems compile millions of articles with experiments designed for specific biological questions, and the systems provide a function to search for specific information. To utilize the literature information, we used a literature mining system, BEST, that automatically extracts information from the literature in PubMed and that allows the user to perform searches of the literature with any English words. By integrating omics data analysis methods and BEST, we developed Context-MMIA, a miRNA-mRNA target prediction method that combines expression data analysis results and the literature information extracted based on the user-specified context. In the pathway enrichment analysis using genes included in the top 200 miRNA-targets, Context-MMIA outperformed the four existing target prediction methods that we tested. In another test on whether prediction methods can re-produce experimentally validated target relationships, Context-MMIA outperformed the four existing target prediction

Manufacturing Knowledge Work: The European Perspective

NARCIS (Netherlands)

Wijnhoven, Alphonsus B.J.M.; Bernard, Alain; Tichkiewitch, Serge

2008-01-01

The handling of knowledge in specific contexts is often labeled knowledge management. A more precise analysis of the literature in the knowledge management field, though, distinguishes four different domains with regard to the handling of knowledge in context, i. e., knowledge management, knowledge

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.

Lean approach in knowledge work

Directory of Open Access Journals (Sweden)

Hanna Kropsu-Vehkapera

2018-05-01

Full Text Available Purpose: Knowledge work productivity is a key area of improvement for many organisations. Lean approach is a sustainable way to achieve operational excellence and can be applied in many areas. The purpose of this novel study is to examine the potential of using lean approach for improving knowledge work practices. Design/methodology/approach: A systematic literature review has been carried out to study how lean approach is realised in knowledge work. The research is conceptual in nature and draws upon earlier research findings. Findings: This study shows that lean studies’ in knowledge work is an emerging research area. This study documents the methods and practices implemented in knowledge work to date, and presents a knowledge work continuum, which is an essential framework for effective lean approach deployment and to frame future research focus in knowledge work productivity. Research limitations/implications: This study structures the concept of knowledge work and outlines a concrete concept derived from earlier literature. The study summarises the literature on lean in knowledge work and highlights, which methods are used. More research is needed to understand how lean can be implemented in complex knowledge work environment and not only on the repetitive knowledge work. The limitations of this research are due to the limited availability of previous research. Practical implications: To analyse the nature of knowledge work, we implicate the areas where lean methods especially apply to improving knowledge work productivity. When applying lean in knowledge work context the focus should be using the people better and improving information flow. Originality/value: This study focuses on adapting lean methods into a knowledge work context and summarises earlier research done in this field. The study discusses the potential to improve knowledge work productivity by implementing lean methods and presents a unique knowledge work continuum to

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

Knowledge Test

DEFF Research Database (Denmark)

Sørensen, Ole Henning

1998-01-01

The knowledge test is about competing temporal and spatial expressions of the politics of technological development and national prosperity in contemporary society. The discussion is based on literature of national systems of innovation and industrial networks of various sorts. Similarities...... and differences in the disparate theories are discussed through a critical perspective on metaphor, time, space, agency and technology. It is asserted that the process of globalization is leading to a new production of space-time perceptions and practices where localization and globalization is becoming...... increasingly important. National space is being contested and nation states need to perform differently....

A diagnostic expert system for NPP based on hybrid knowledge approach

International Nuclear Information System (INIS)

Yang, Joon On; Chang, Soon Heung

1989-01-01

This paper describes a diagnostic expert system, HYPOSS (Hybrid Knowledge Based Plant Operation Supporting System), which has been developed to support operators' decision making during the transients of nuclear power plant. HYPOSS adopts the hybrid knowledge approach which combines shallow and deep knowledge to couple the merits of both approaches. In HYPOSS, four types of knowledge are used according to the steps of diagnosis procedure: structural, functional, behavioral and heuristic knowledge. The structural and functional knowledge is represented by three fundamental primitives and five types of functions respectively. The behavioral knowledge is represented using constraints. The inference procedure is based on the human problem solving behavior modeled in HYPOSS. For the validation of HYPOSS, several tests have been performed based on the data produced by a plant simulator. The results of validation studies showed a good applicability of HYPOSS to the anomaly diagnosis of nuclear power plant

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.

Implementation of therapeutic hypothermia guidelines for post-cardiac arrest syndrome at a glacial pace: seeking guidance from the knowledge translation literature.

Science.gov (United States)

Brooks, Steven C; Morrison, Laurie J

2008-06-01

The 2005 International Liaison Committee on Resuscitation (ILCOR) Consensus on Science and Treatment Recommendations document represents the most extensive and rigorous systematic review of the resuscitation literature to date and included evidence-based recommendations for post-resuscitation care. A new recommendation for the induction of mild therapeutic hypothermia for comatose cardiac arrest survivors was included in this document. Accordingly, constituent national member associations of ILCOR, including the American Heart Association, incorporated the recommendation for therapeutic hypothermia into their respective guidelines. Despite these endorsements there is a concern that therapeutic hypothermia is not being used in practice. Data from a number of surveys in Europe and the United States suggest that rates of use among physicians may be as low as 30-40%. Despite the cost and effort associated with the production of these guidelines and the potential impact on patient care, current efforts in implementing the guideline have not achieved widespread success. This commentary explores the issue of underutilization of the American Heart Association guidelines for therapeutic hypothermia and looks to the knowledge translation literature to inform a new approach to implementation. We will review the underlying phenomenon of research implementation into practice, specific barriers to guideline implementation and interventions that may improve therapeutic hypothermia uptake.

Advances in Knowledge Management

DEFF Research Database (Denmark)

Razmerita, Liana; Phillips-Wren, Gloria; Jain, Lakhmi C.

2016-01-01

This chapter briefly overviews the evolution of KM from a historical perspective and discusses core concepts associated with the management of knowledge, projects and networks. We introduce theoretical perspectives that are used in the KM literature, discuss the concept of a networked-centric col......This chapter briefly overviews the evolution of KM from a historical perspective and discusses core concepts associated with the management of knowledge, projects and networks. We introduce theoretical perspectives that are used in the KM literature, discuss the concept of a networked......-centric collaborative organization, and present future technologies in KM including the management of knowledge using social media and intelligent techniques....

Quantum chemistry literature data base

International Nuclear Information System (INIS)

Ohno, Kimio; Morokuma, Keiji

1982-01-01

Ab initio computations of atomic and molecular electronic structure now appear in so many journals that it is very difficult for interested scientistics to locate proper and comprehensive references. This book is designed to help them and contains more than 2500 references to the literature published in the years 1978-1980. These have been gathered from nineteen well-known international core journals by quantum chemists themselves and the result is a thorough bibliography. Each entry is a full reference consisting of the following items: (1) authors, (2) journal name, volume, page and year, (3) compounds, (4) methods of calculation, (5) basis sets, (6) calculated properties, and (7) comments. For easy access to the references, the reader can consult the compound and author indexes. A short article on the reliability of ab initio calculations is included as an appendix; this gives a rough idea about the accuracy of the calculated results reported. As the book has been complied using the resources of a computer data base of quantum chemistry literature, it is particularly up to date and the authors will be able to provide supplements regularly. This bibliography will be an asset to large departments of chemistry and all university libraries. (orig.)

Knowledge Sharing and National Culture

DEFF Research Database (Denmark)

Michailova, Snejina; Hutchings, Kate

2004-01-01

Much of the knowledge management literature tends to assume a rather universalistunderstanding of knowledge sharing. Yet, attitudes to knowledge sharing as well as actualknowledge-sharing behaviour depend on conditions that vary across institutional and culturalenvironments. This paper contributes...... to the knowledge-sharing literature by specificallydiscussing the interplay between knowledge-sharing and national cultural factors in the context oftransition countries. The paper engages in a comparative examination of two major transitionsocieties, China and Russia, and contributes to understanding...... the complexity of differencesbetween transition economies. The paper is written as a set of theoretical arguments andpropositions that is designed to elucidate more nuanced ways of thinking about knowledgesharing in China and Russia. We argue that in the case of China and Russia, verticalindividualism...

Estruturantes da base de conhecimentos para o ensino de estudantes-professores de Educação Física Structuring the knowledge base for teaching of preservice teachers of Physical Education

Directory of Open Access Journals (Sweden)

Daniel Marcon

2010-09-01

Full Text Available A base de conhecimentos necessários para a atuação docente contempla o conhecimento pedagógico do conteúdo, que tem como função primordial integrar os conhecimentos dos alunos, do conteúdo, pedagógico geral e do contexto, visando à transformação dos conhecimentos do conteúdo em conhecimentos ensináveis e compreensíveis pelos alunos. Diante disso, o objetivo deste ensaio foi analisar os possíveis elementos que auxiliam na estruturação da base de conhecimentos dos futuros professores de Educação Física. A literatura consultada destaca a influência da história e todas as experiências de vida dos estudantes-professores, bem como do contexto de formação inicial, nomeadamente os professores-formadores, os colegas, as diferentes estratégias formativas, a aproximação com a realidade da profissão, e as experiências práticas, tanto as esportivas quanto as pedagógicas. A interação de todos esses elementos dá origem à estrutura da base de conhecimentos para o ensino e ao constructo do conhecimento pedagógico do conteúdo do estudante-professor.The knowledge base for teaching has all the knowledge needed for teaching activities, among them the pedagogical content knowledge, which main function is to integrate knowledge of students, content knowledge, pedagogical knowledge, and knowledge of context, intended to transform content knowledge to teachable and understandable knowledge to students. Given this, the aim of this paper was to analyze the possible determining factors in the structuring of the knowledge base of future teachers of Physical Education. In this sense, the literature emphasizes the influence (1 the history and all of the preservice teachers life experiences, and (2 the teacher education context, including teacher educators, colleagues, different training strategies, the approach to the reality of the profession, and practical experience, both sports as the educational. The interaction of all these

Arranging ISO 13606 archetypes into a knowledge base.

Science.gov (United States)

Kopanitsa, Georgy

2014-01-01

To enable the efficient reuse of standard based medical data we propose to develop a higher level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analyzed for their ability to be applied in the implementation of a higher level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future.

Knowledge Safety – Insights from the SME Sector

Directory of Open Access Journals (Sweden)

Małgorzata Zięba

2017-11-01

Full Text Available Purpose: This paper aims to explore the topic of knowledge safety, defined as the state of knowledge being safe from loss, leakage, attrition, oblivion, waste or theft. The paper first presents a theoretical background and review of previous studies on knowledge loss and ways of overcoming it, and then illustrates the topic of knowledge safety with ten case studies from the small and medium-sized enterprises (SMEs sector. Methodology: The paper is based on an analysis of Knowledge Management (KM literature devoted to knowledge loss and its potential types in companies, and on the results of case study research. Knowledge safety was first defined and contrasted with other terms, and then examined in 10 selected SMEs. The research resulted in a clarification of what SMEs understand by the term of “knowledge safety” and what kind of measures they take to ensure it. Findings: As the analysis shows, the examined SMEs attribute diversified significance to the issue of knowledge safety. For some of them, such problem does not exist at all and they state that they can ensure knowledge safety in all aspects of their operations. Some companies perceive it mainly through the safety of the knowledge stored in electronic databases, while others link it with the human factor only. Research limitations: Research results are limited to ten companies operating in Poland. As such, they cannot illustrate the whole picture of the existing small or medium-sized companies. Research implications: The findings of both literature review and case study analysis indicate that there is a need to further examine the issue of knowledge safety by analysing the potential factors which may endanger knowledge safety and the methods to eliminate such risks. Practical implications: The paper examines important aspects of knowledge safety and provides guidelines on how it can be ensured by managers or owners of SMEs. Originality/value: The term of knowledge safety has been

Building Knowledge Economies in Africa: A Survey of Policies and Strategies

OpenAIRE

Asongu, Simplice; Nwachukwu, Jacinta

2017-01-01

Compared to other regions of the world, Africa is lagging in its drive toward knowledge-based economies. This study surveys the literature in order to highlight the policies and strategies with which African countries can accelerate their current drive towards knowledge economies. These are discussed in terms of the four pillars of the World Bank’s knowledge economy framework. They are the indices for: (i) education and skilled population, (ii) information and communication technology, (iii) ...

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....

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...

Literature-based discovery of diabetes- and ROS-related targets

Directory of Open Access Journals (Sweden)

Pande Manjusha

2010-10-01

Full Text Available Abstract Background Reactive oxygen species (ROS are known mediators of cellular damage in multiple diseases including diabetic complications. Despite its importance, no comprehensive database is currently available for the genes associated with ROS. Methods We present ROS- and diabetes-related targets (genes/proteins collected from the biomedical literature through a text mining technology. A web-based literature mining tool, SciMiner, was applied to 1,154 biomedical papers indexed with diabetes and ROS by PubMed to identify relevant targets. Over-represented targets in the ROS-diabetes literature were obtained through comparisons against randomly selected literature. The expression levels of nine genes, selected from the top ranked ROS-diabetes set, were measured in the dorsal root ganglia (DRG of diabetic and non-diabetic DBA/2J mice in order to evaluate the biological relevance of literature-derived targets in the pathogenesis of diabetic neuropathy. Results SciMiner identified 1,026 ROS- and diabetes-related targets from the 1,154 biomedical papers (http://jdrf.neurology.med.umich.edu/ROSDiabetes/. Fifty-three targets were significantly over-represented in the ROS-diabetes literature compared to randomly selected literature. These over-represented targets included well-known members of the oxidative stress response including catalase, the NADPH oxidase family, and the superoxide dismutase family of proteins. Eight of the nine selected genes exhibited significant differential expression between diabetic and non-diabetic mice. For six genes, the direction of expression change in diabetes paralleled enhanced oxidative stress in the DRG. Conclusions Literature mining compiled ROS-diabetes related targets from the biomedical literature and led us to evaluate the biological relevance of selected targets in the pathogenesis of diabetic neuropathy.

Knowledge-Oriented Physics-Based Motion Planning for Grasping Under Uncertainty

OpenAIRE

Ud Din, Muhayy; Akbari, Aliakbar; Rosell Gratacòs, Jan

2017-01-01

Grasping an object in unstructured and uncertain environments is a challenging task, particularly when a collision-free trajectory does not exits. High-level knowledge and reasoning processes, as well as the allowing of interaction between objects, can enhance the planning efficiency in such environments. In this direction, this study proposes a knowledge-oriented physics-based motion planning approach for a hand-arm system that uses a high-level knowledge-based reasoning to partition the wor...

Knowledge Management as Attention

DEFF Research Database (Denmark)

Kreiner, Kristian

2004-01-01

This article explores the case of product development for insights into the potential role of knowledge management. Current literature on knowledge management entertains the notion that knowledge management is a specific set of practices - separate enough to allow specialization of responsibility....... By common standard, the proclaimed responsibility of knowledge management is shared knowledge, saved learning costs and coordinated action in an organization. The significance of the practices of knowledge management is the intention of shared knowledge, saved learning costs and coordinated action....

Teaching Literature and Reading Performances

DEFF Research Database (Denmark)

Ingerslev, Gitte Holten

2011-01-01

the reading of literature is respectively supported and hindered in literature lessons in upper secondary school. The aim is to investigate the relation between the teacher's conception of learning and knowledge within the subject combined with the student's conception of learning and of reading...

Knowledge Management for Knowledge Society and Intergenerational Education