WorldWideScience

Sample records for understanding systems knowledge

  1. Shape Understanding SystemKnowledge Implementation and Learning

    CERN Document Server

    Les, Zbigniew

    2013-01-01

    This book presents the selected results of research on the further development of the shape understanding system (SUS) described in our previous book titled “Shape Understanding System: the First Steps Toward the Visual Thinking Machines”. This is the second book that presents the results of research in the area of thinking and understanding carried out by authors in the newly founded the Queen Jadwiga Research Institute of Understanding. In this book, the new term knowledge implementation is introduced to denote the new method of the meaningful learning in the context of machine understanding. SUS ability to understand is related to the different categories of objects such as the category of visual objects, the category of sensory objects and the category of text objects. In this book, new terms and concepts are introduced in order to describe and explain some issues connected with SUS development. These terms are explained by referring to the content of our books and other our works rather than to exist...

  2. Foundation of a Knowledge Representation System for Image Understanding.

    Science.gov (United States)

    1980-10-01

    the tasks of the system is also basic in systems that use complete indexing, or Conniver, or Lisp. Systems like KRL [11], on the other hand, have a...Winograd, T., "An Overview of KRL , a Knowledge Representation Language," Cogn. Science, pp. 13-45, 1977. [12] Zadeh, L.A., "PRUF - A Memory

  3. Social Media Systems in the Workplace: Toward Understanding Employee Knowledge Creation via Microblogging within Shared Knowledge Domains

    Directory of Open Access Journals (Sweden)

    Simon Cleveland

    2016-07-01

    Full Text Available Adoption of social media systems (SMS, proprietary microblogging platforms in particular, for the purposes of information sharing has been increasingly on the rise among corporations. While Twitter is the preferred microblogging tool by the general public, there is scant research to address its viability as a conduit to facilitate knowledge creation among corporate users. As a result, this conceptual paper explores seven crucial Twitter features and derives to seven propositions that demonstrate how microblogging can enable knowledge creation among employees within shared knowledge domain.

  4. KNOWLEDGE UNDERSTANDING AND ADVANCED SEARCHING

    Directory of Open Access Journals (Sweden)

    R Vidya

    2017-04-01

    Full Text Available It’s a comprehensive fact that millions of people around the world surf the Internet for want of answers for their questions. Generally, the questions are asked in the form of Searching or direct questions which follow perfect ontological directions. It is important that the system understands the questions in the right sense and can provide the best answer for all the questions raised in the web forum. One such pragmatic method is required which is expected to provide optimum solution to achieve best answers for questions that not only percepts language but also follows perfect ontological information in accordance with the cyber law. This Proposed Model presents a new dynamic model called Knowledge Understanding and Advance Searching (KUAS that studies the importance of Smart Question Answering with other question answering engines like START and proves to give the optimal solution compared to them.

  5. System For Inspection And Quality Assurance Of Software: A Knowledge-Based Experiment With Code Understanding

    Science.gov (United States)

    Das, Bikas K.

    1989-03-01

    This paper describes a knowledge-based prototype that inspects and quality assures software components. The prototype model, which offers a singular representation of these components, is used to automate both the mechanical and nonmechanical activities in the quality assurance (QA) process. It will be shown that the prototype, in addition to automating the QA process, provides a novel approach to understanding code. Our approaches are compared with recent approaches to code understanding. The paper also presents the results of an experiment with several classes of nonsyntactic bugs. It is argued that a structured environment, as facilitated by our unique architecture along with "software development standards" used in the QA process, is essential for meaningful analysis of code. Initial success with the prototype has generated several interesting directions for future work.

  6. System for inspection and quality assurance of software - A knowledge-based experiment with code understanding

    International Nuclear Information System (INIS)

    Das, B.K.

    1989-01-01

    This paper describes a knowledge-based prototype that inspects and quality-assures software components. The prototype model, which offers a singular representation of these components, is used to automate both the mechanical and nonmechanical activities in the quality assurance (QA) process. It is shown that the prototype, in addition to automating the QA process, provides a novel approach to understanding code. These approaches are compared with recent approaches to code understanding. The paper also presents the results of an experiment with several classes of nonsyntactic bugs. It is argued that a structured environment, as facilitated by this unique architecture, along with software development standards used in the QA process, is essential for meaningful analysis of code. 8 refs

  7. The tourism knowledge system

    DEFF Research Database (Denmark)

    Tribe, John; Liburd, Janne J.

    2016-01-01

    This conceptual study addresses the significant need for every mature field of knowledge to understand itself. It builds upon previous studies of the epistemology and ontology of tourism by critiquing, synthesising, discarding, re-ordering and adding material. Its contribution is an original...... reconceptualisation of the structure, systems, processes and outcomes that define the field of tourism. These are explained by the creation of a model and detailed analysis that examines knowledge space, the knowledge force-field, knowledge networks, four key domains in knowledge creation and their interrelationships....... Finally the model is used to examine some of the key challenges and consequences that the knowledge system reveals for tourism and its research....

  8. Building Community Knowledge Systems

    DEFF Research Database (Denmark)

    Bansler, Jørgen P.; Havn, Erling C.

    2003-01-01

    The paper reports a field study of knowledge sharing in a large and complex organization. The objective of the study was to gain an in-depth understanding of the implementation and use of a web-based knowledge sharing system designed to facilitate the circulation of best practices among middle ma...... interviews and observations we identify five reasons for the systems failure. We close the paper by some reflections on the use of the concept of “shared practice” in the development of IT-supported knowledge sharing systems....

  9. The Concept of Embodied Knowledge for Understanding Organisational Knowledge Creation

    Science.gov (United States)

    Matsudaira, Yoshito; Fujinami, Tsutomu

    Our goal in this paper is to understand, in the light of intuition and emotion, the problem-finding and value judgments by organisational members that are part of organisational knowledge creation. In doing so, we emphasise the importance of embodied knowledge of organisations as an explanatory concept. We propose ways of approaching intuition and sense of value as these are posited as objects of research. Approaches from the first, second, and third-person viewpoints result in a deeper grasp of embodied knowledge of organisations. Important in organisational knowledge creation is embodied knowledge of organisations, which has a bearing on problem-finding before any problem-solving or decision making takes place, and on value judgments about the importance of problems that have been found. This article proposes the concept of embodied knowledge, and, by introducing it, gives a profound understanding of that facet of organisational knowledge creation characterised by tacit knowledge held by organisational individuals.

  10. Understanding Knowledge Management System antecedents of performance impact: Extending the Task-technology Fit Model with intention to share knowledge construct

    Directory of Open Access Journals (Sweden)

    Ghada R. El Said

    2015-12-01

    The suggested integrated model helps for better understanding of KMS from the perspective of users’ motivation, system design, and tasks. This paper contributes-with academic and practical implications for KMS researchers, developers, and managers.

  11. Understanding Intra-Class Knowledge Inside CNN

    OpenAIRE

    Wei, Donglai; Zhou, Bolei; Torrabla, Antonio; Freeman, William

    2015-01-01

    Convolutional Neural Network (CNN) has been successful in image recognition tasks, and recent works shed lights on how CNN separates different classes with the learned inter-class knowledge through visualization. In this work, we instead visualize the intra-class knowledge inside CNN to better understand how an object class is represented in the fully-connected layers. To invert the intra-class knowledge into more interpretable images, we propose a non-parametric patch prior upon previous CNN...

  12. How Technology Teachers Understand Technological Knowledge

    Science.gov (United States)

    Norström, Per

    2014-01-01

    Swedish technology teachers' views of technological knowledge are examined through a written survey and a series of interviews. The study indicates that technology teachers' understandings of what constitutes technological knowledge and how it is justified vary considerably. The philosophical discussions on the topic are unknown to them. This lack…

  13. Understanding knowledge as a commons from theory to practice

    CERN Document Server

    Ostrom, Elinor

    2011-01-01

    Looking at knowledge as a shared resource: experts discuss how to define, protect, and build the knowledge commons in the digital age. Knowledge in digital form offers unprecedented access to information through the Internet but at the same time is subject to ever-greater restrictions through intellectual property legislation, overpatenting, licensing, overpricing, and lack of preservation. Looking at knowledge as a commons―as a shared resource―allows us to understand both its limitless possibilities and what threatens it. In Understanding Knowledge as a Commons, experts from a range of disciplines discuss the knowledge commons in the digital era―how to conceptualize it, protect it, and build it. Contributors consider the concept of the commons historically and offer an analytical framework for understanding knowledge as a shared social-ecological system. They look at ways to guard against enclosure of the knowledge commons, considering, among other topics, the role of research libraries, the advantage...

  14. Awareness, knowledge, understanding and readiness to adopt

    African Journals Online (AJOL)

    user

    ISSN 0378-5254 Journal of Family Ecology and Consumer Sciences, Vol 40, 2012. AWARENESS, KNOWLEDGE, UNDERSTANDING .... market for functional foods in a global online survey by AC Nielsen in 2005 (Nielsen, 2005:9). Hawkins et al ...... Consumer reactions to foods with nutrition and health claims. Agro-.

  15. Knowledge about food classification systems and value attributes provides insight for understanding complementary food choices in Mexican working mothers.

    Science.gov (United States)

    Rodriguez-Oliveros, Maria Guadalupe; Bisogni, Carole A; Frongillo, Edward A

    2014-12-01

    Knowledge about mothers' perceptions of food classification and values about complementary feeding is necessary for designing educational and food supply interventions targeted to young children. To determine classification, attributes, and consumption/preparation routines of key complementary foods, 44 mothers of children foods, we conducted free-listings, pile-sort, and food attributes exercises. Hierarchical clustering showed that mothers identified nine classes of key foods, including milk derivatives, complements, junk food, infant products, chicken parts, and other meats. From multidimensional scaling, mothers used three primary classification systems: food groups, food introduction stages, and food processing. Secondary classification systems were healthy-junk, heavy-light, hot-cold, good-bad fat, and main dish-complement. Child health and nutrition, particularly vitamin content, were salient attributes. Fruits and vegetables were preferred for initiating complementary feeding on the second month of age. Consumption of guava, mango, and legumes, however, was associated with digestive problems (empacho). Red meats were viewed as cold-type, heavy, and hard, not suitable for young children, but right for toddlers. Chicken liver was considered nutritious but dirty and bitter. Egg and fish were viewed as a vitamin source but potentially allergenic. Mothers valued vitamin content, flavor, and convenience of processed foods, but some were suspicious about expiration date, chemical and excessive sugar content and overall safety of these foods. Mothers' perceptions and values may differ from those of nutritionists and program designers, and should be addressed when promoting opportune introduction of complementary foods in social programs. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Knowledge teachers in teacher's counters understanding

    Directory of Open Access Journals (Sweden)

    Cristian Baú Dal Magro

    2016-04-01

    Full Text Available The central objective of the study was to analyze the understanding of teacher’s counters on the knowledge teachers who contribute to the process of teaching and learning. The study was characterized as descriptive research, conducted through semi-structured interviews and qualitative data analysis. The research population is accountants / teachers of higher education institutions located in the Western Region of the State of Santa Catarina who teach in undergraduate degree in Accounting. The sample was designed intentionally and for convenience, where 5 were selected counters / teachers. The content analysis was structured in four steps: a Identification of respondents; b Characterization of the teaching activities; c Perceptions of teachers regarding the teaching-learning process, d that manifest understandings about the teaching knowledge. The findings of the research studies conducted by Schulman (1986, Tardif (2002 and Saviani (1996 state, and the teachers knowledge that best contribute in the teaching-learning process according to the respondents are teaching methodology and evaluation appropriate; use of audiovisual resources; content knowledge and institutional policies and good relationship with the academics.

  17. The Core Knowledge System

    National Research Council Canada - National Science Library

    Strat, Thomas M; Smith, Grahame B

    1987-01-01

    This document contains an in-depth description of the Core Knowledge System (CKS)-an integrative environment for the many functions that must be performed by sensor-based autonomous and semi-autonomous systems...

  18. Understanding dynamic capabilities through knowledge management

    DEFF Research Database (Denmark)

    Nielsen, Anders Paarup

    2006-01-01

    In the paper eight knowledge management activities are identified; knowledge creation, acquisition, capture, assembly, sharing, integration, leverage and exploitation. These activities are assembled into the three dynamic capabilities of knowledge development, knowledge (re)combination and knowle......In the paper eight knowledge management activities are identified; knowledge creation, acquisition, capture, assembly, sharing, integration, leverage and exploitation. These activities are assembled into the three dynamic capabilities of knowledge development, knowledge (re......)combination and knowledge use. The dynamic capabilities and the associated knowledge management activities create flows to and from the firm’s stock of knowledge and they support the creation and use of organizational capabilities....

  19. Knowledge systems in agroforestry

    Science.gov (United States)

    Wieland Kunzel

    1993-01-01

    Pacific Islands agroforestry has evolved into sustainable, diverse and productive a land use systems in many areas. We marvel at these systems, and the scientific world is trying to catch up with the traditional knowledge. At the same time, Pacific Islands farmers are abandoning their agroforestry systems in great numbers. It is mainly intensified agriculture for cash...

  20. Understanding land administration systems

    DEFF Research Database (Denmark)

    P. Williamson, Ian; Enemark, Stig; Wallace, Judy

    2008-01-01

    This paper introduces basic land administration theory and highlights four key concepts that are fundamental to understanding modern land administration systems. Readers may recall the first part of the paper in October issue of Coordinates. Here is the concluding part that focuses on the changing...

  1. The `What is a system' reflection interview as a knowledge integration activity for high school students' understanding of complex systems in human biology

    Science.gov (United States)

    Tripto, Jaklin; Ben-Zvi Assaraf, Orit; Snapir, Zohar; Amit, Miriam

    2016-03-01

    This study examined the reflection interview as a tool for assessing and facilitating the use of 'systems language' amongst 11th grade students who have recently completed their first year of high school biology. Eighty-three students composed two concept maps in the 10th grade-one at the beginning of the school year and one at its end. The first part of the interview is dedicated to guiding the students through comparing their two concept maps and by means of both explicit and non-explicit teaching. Our study showed that the explicit guidance in comparing the two concept maps was more effective than the non-explicit, eliciting a variety of different, more specific, types of interactions and patterns (e.g. 'hierarchy', 'dynamism', 'homeostasis') in the students' descriptions of the human body system. The reflection interview as a knowledge integration activity was found to be an effective tool for assessing the subjects' conceptual models of 'system complexity', and for identifying those aspects of a system that are most commonly misunderstood.

  2. Public knowledge, public trust: understanding the 'knowledge deficit'.

    Science.gov (United States)

    Brunk, Conrad G

    2006-01-01

    This article examines the 'knowledge deficit' model, which still persists in liberal, technological societies. It is based upon the assumption that expert forms of knowledge, both in the sciences and the humanities, provide a sufficient basis for deciding the most important public policy questions. In this view, public perceptions and beliefs that run counter to this expert knowledge provide unacceptable justifications for public policies. Instead, support of expert knowledge needs to be 'built' through education and public relations strategies. This view is challenged on the basis of basic democratic theory, using the debate about genetically modified maize in Mexico as an example. 'Knowledge deficits' also exist on the side of experts. Copyright 2006 S. Karger AG, Basel.

  3. Understanding the Climate-knowledge Sharing Relation

    DEFF Research Database (Denmark)

    Llopis, Oscar; Foss, Nicolai Juul

    2016-01-01

    A cooperative organizational climate is often argued to promote knowledge-sharing behaviors among employees. However, research indicates that managerial interventions aimed at shaping the organizational climate can be difficult to execute. We develop and test a contingency model of intrinsic moti...

  4. Understanding land administration systems

    DEFF Research Database (Denmark)

    P. Williamson, Ian; Enemark, Stig; Wallace, Judy

    2008-01-01

    This paper introduces basic land administration theory and highlights four key concepts that are fundamental to understanding modern land administration systems - firstly the land management paradigm and its influence on the land administration framework, secondly the role that the cadastre plays...... in contributing to sustainable development, thirdly the changing nature of ownership and the role of land markets, and lastly a land management vision that promotes land administration in support of sustainable development and spatial enablement of society. We present here the first part of the paper. The second...... part focuses on the changing  role of ownership and the role of land markets, and a land management vision will be published in November issue of Coordinates. Udgivelsesdato: Oktober...

  5. Societal Dynamics Understanding Social Knowledge and Wisdom

    CERN Document Server

    Betz, Frederick

    2012-01-01

    At both a micro-information level and a macro-societal level, the concepts of “knowledge” and “wisdom” are complementary – in both decisions and in social structures and institutions.  At the decision level, knowledge is concerned with how to make a proper choice of means, where “best” is measured as the efficiency toward achieving an end.  Wisdom is concerned with how to make a proper choice of ends  that attain “best” values. At a societal level, knowledge is managed through science/technology and innovation.  And while science/technology is society's way to create new means with high efficiencies, they reveal nothing about values.  Technology can be used for good or for evil, to make the world into a garden or to destroy all life.  It is societal wisdom which should influence the choice of proper ends -- ends to make the world a garden. How can society make progress in wisdom as well as knowledge?  Historically, the disciplines of the physical sciences and biology have provided sci...

  6. Shape understanding system machine understanding and human understanding

    CERN Document Server

    Les, Zbigniew

    2015-01-01

    This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems.    

  7. Awareness, knowledge, understanding and readiness to adopt ...

    African Journals Online (AJOL)

    The top five bioactive food ingredients recognised by the respondents were omega-3 fatty acids (97,1%), antioxidants (87,1%), probiotics (84,9%), soy protein (83,5%) and beta-carotene (68,3%). Omega-3 also produced the highest percentage of respondents with understanding of it as ingredient. Significant differences (p ...

  8. Knowledge society training system

    International Nuclear Information System (INIS)

    Ceclan, Mihail; Ionescu, Tudor Basarab; Ceclan, Rodica Elena; Tatar, Florin; Tiron, Cristian; Georgescu, Luisa Maria

    2005-01-01

    The paper aims to present the results of the Cernavoda NPP Training Department modernization project. In order to achieve a knowledge society training system, in the first stage of the project a Computer Based Training (CBT) or E-Learning software platform and several CBT objects/courses have been implemented. The conceived solution is called CBTCenter which is a complete E-Learning and CBT system, offering a variety of teaching and learning tools and services to its users. CBT and/or E-Learning always mean two things: a software platform and content authoring. Ideally, a software platform should be able to import any type of flat documentation and integrate it into a structured database which keeps track of pedagogically meaningful information like the student's progress in studying materials, tests and quizzes, grades, etc. At the same time, the materials, the study and the tests have to be organized around certain objectives which play the role of guidelines during the entire educational activity. An example of such a course which has been successfully integrated into CBTCenter is Labour safety - code name BB-001. The implementation of the CBT technology at NPP Cernavoda Training Department has brought several advantages: the technology improves overall communication between all individuals which take part in the educational process; the classroom space problem has been considerably reduced; students can access training materials from their own desk using the NPP intranet; the logistics problems will decrease with the conversion of more and more conventional courses and materials into CBT objects/courses. (authors)

  9. The "What Is a System" Reflection Interview as a Knowledge Integration Activity for High School Students' Understanding of Complex Systems in Human Biology

    Science.gov (United States)

    Tripto, Jaklin; Ben-Zvi Assaraf, Orit; Snapir, Zohar; Amit, Miriam

    2016-01-01

    This study examined the reflection interview as a tool for assessing and facilitating the use of "systems language" amongst 11th grade students who have recently completed their first year of high school biology. Eighty-three students composed two concept maps in the 10th grade--one at the beginning of the school year and one at its end.…

  10. Understanding radar systems

    CERN Document Server

    Kingsley, Simon

    1999-01-01

    What is radar? What systems are currently in use? How do they work? This book provides engineers and scientists with answers to these critical questions, focusing on actual radar systems in use today. It is a perfect resource for those just entering the field, or as a quick refresher for experienced practitioners. The book leads readers through the specialized language and calculations that comprise the complex world of radar engineering as seen in dozens of state-of-the-art radar systems. An easy to read, wide ranging guide to the world of modern radar systems.

  11. Acquisition and understanding of process knowledge using problem solving methods

    CERN Document Server

    Gómez-Pérez, JM

    2010-01-01

    The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult in the case of compl

  12. Ethnosocial issues within the covers of "Knowledge. Understanding. Skill” Journal

    Directory of Open Access Journals (Sweden)

    Elena A. Erokhina

    2016-06-01

    Full Text Available Article reviews the most interesting publications regarding the issues of actual ethnosocial processes published in the well-known Russian journal "Knowledge. Understanding, Skill” which marks its 10th anniversary this year.

  13. Knowledge and understanding of health insurance: challenges and remedies.

    Science.gov (United States)

    Barnes, Andrew J; Hanoch, Yaniv

    2017-07-13

    As coverage is expanded in health systems that rely on consumers to choose health insurance plans that best meet their needs, interest in whether consumers possess sufficient understanding of health insurance to make good coverage decisions is growing. The recent IJHPR article by Green and colleagues-examining understanding of supplementary health insurance (SHI) among Israeli consumers-provides an important and timely answer to the above question. Indeed, their study addresses similar problems to the ones identified in the US health care market, with two notable findings. First, they show that overall-regardless of demographic variables-there are low levels of knowledge about SHI, which the literature has come to refer to more broadly as "health insurance literacy." Second, they find a significant disparity in health insurance literacy between different SES groups, where Jews were significantly more knowledgeable about SHI compared to their Arab counterparts.The authors' findings are consistent with a growing body of literature from the U.S. and elsewhere, including our own, presenting evidence that consumers struggle with understanding and using health insurance. Studies in the U.S. have also found that difficulties are generally more acute for populations considered the most vulnerable and consequently most in need of adequate and affordable health insurance coverage.The authors' findings call attention to the need to tailor communication strategies aimed at mitigating health insurance literacy and, ultimately, access and outcomes disparities among vulnerable populations in Israel and elsewhere. It also raises the importance of creating insurance choice environments in health systems relying on consumers to make coverage decisions that facilitate the decision process by using "choice architecture" to, among other things, simplify plan information and highlight meaningful differences between coverage options.

  14. Children's religious knowledge: implications for understanding satanic ritual abuse allegations.

    Science.gov (United States)

    Goodman, G S; Quas, J A; Bottoms, B L; Qin, J; Shaver, P R; Orcutt, H; Shapiro, C

    1997-11-01

    The goals of the present study were to examine the extent of children's religious, especially satanic, knowledge and to understand the influence of children's age, religious training, family, and media exposure on that knowledge. Using a structured interview, 48 3- to 16-year-old children were questioned about their knowledge of: (a) religion and religious worship; (b) religion-related symbols and pictures; and (c) movies, music, and television shows with religious and horror themes. Although few children evinced direct knowledge of ritual abuse, many revealed general knowledge of satanism and satanic worship. With age, children's religious knowledge increased and became more sophisticated. Increased exposure to nonsatanic horror media was associated with more nonreligious knowledge that could be considered precursory to satanic knowledge, and increased exposure to satanic media was associated with more knowledge related to satanism. Our results suggest that children do not generally possess sufficient knowledge of satanic ritual abuse to make up false allegations on their own. However, many children have knowledge of satanism as well as nonreligious knowledge of violence, death, and illegal activities. It is possible that such knowledge could prompt an investigation of satanic ritual abuse or possibly serve as a starting point from which an allegation is erected.

  15. 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,…

  16. Knowledge management systems in practice

    DEFF Research Database (Denmark)

    Tørning, Kristian

    is to directly seek to change the user's behavior, i.e., persuading more knowledge sharing. The main contribution is an indication of an anomaly with regards to the strategic approach towards knowledge management, where knowledge sharing is seen as an effort by which companies can gain a competitive advantage......This dissertation contributes to the existing body of knowledge on how we design computer systems, particularly multiuser software for knowledge sharing and creation in globally diffused companies. This is achieved by conducting a work place study of a global industrial engineering conglomerate...... which has the strategy of working with knowledge in the form of "best practices" meant to boost performance. The thesis explores the situation that workers are in, since they are meant to share and develop "best practices" knowledge in a portal based Knowledge Management System (KMS). The study...

  17. Managing Distributed Knowledge Systems

    DEFF Research Database (Denmark)

    Sørensen, Brian Vejrum; Gelbuda, Modestas

    2005-01-01

    not explain how communities connect to the whole organization, but rather how they are disconnected from the governing canonical perspectives. In response to this we develop a conceptual model IKAR (denoting corporate and departmental identities, knowledge, activities and resources) and show how its dynamics...

  18. An Integrated Knowledge Management System

    Directory of Open Access Journals (Sweden)

    Vasile Mazilescu

    2014-11-01

    Full Text Available The aim of this paper is to present a Knowledge Management System based on Fuzzy Logic (FLKMS, a real-time expert system to meet the challenges of the dynamic environment. The main feature of our integrated shell FLKMS is that it models and integrates the temporal relationships between the dynamic of the evolution of an economic process with some fuzzy inferential methods, using a knowledge model for control, embedded within the expert system’s operational knowledge base.

  19. New infrastructures for knowledge production understanding e-science

    CERN Document Server

    Hine, Christine

    2006-01-01

    New Infrastructures for Knowledge Production: Understanding E-Science offers a distinctive understanding of new infrastructures for knowledge production based in science and technology studies. This field offers a unique potential to assess systematically the prospects for new modes of science enabled by information and communication technologies. The authors use varied methodological approaches, reviewing the origins of initiatives to develop e-science infrastructures, exploring the diversity of the various solutions and the scientific cultures which use them, and assessing the prospects for wholesale change in scientific structures and practices. New Infrastructures for Knowledge Production: Understanding E-Science contains practical advice for the design of appropriate technological solutions, and long range assessments of the prospects for change useful both to policy makers and those implementing institutional infrastructures. Readers interested in understanding contemporary science will gain a rich pict...

  20. Understanding and Supporing Knowledge Work in Everyday Life

    Directory of Open Access Journals (Sweden)

    Jeffrey T. Grabill

    2007-03-01

    Full Text Available Our purpose in writing is two-fold: (1 to introduce this audience to the Writing in Digital Environments (WIDE Research Center, and (2 to make an argument about the importance of understanding and supporting knowledge work for professional and technical communicators. We are particularly interested in what knowledge (writing work looks like in multiple contexts—for instance, in civic organizations as well as in corporate organizations— because contemporary social and community contexts are dependent on high-quality knowledge work. This explains our interest in “everyday life.”

  1. Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA. Part 2: Novel system Architecture, Information/Knowledge Representation, Algorithm Design and Implementation

    Directory of Open Access Journals (Sweden)

    Luigi Boschetti

    2012-09-01

    Full Text Available According to literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA systems and three-stage iterative geographic object-oriented image analysis (GEOOIA systems, where GEOOIA/GEOBIA, remain affected by a lack of productivity, general consensus and research. To outperform the Quality Indexes of Operativeness (OQIs of existing GEOBIA/GEOOIA systems in compliance with the Quality Assurance Framework for Earth Observation (QA4EO guidelines, this methodological work is split into two parts. Based on an original multi-disciplinary Strengths, Weaknesses, Opportunities and Threats (SWOT analysis of the GEOBIA/GEOOIA approaches, the first part of this work promotes a shift of learning paradigm in the pre-attentive vision first stage of a remote sensing (RS image understanding system (RS-IUS, from sub-symbolic statistical model-based (inductive image segmentation to symbolic physical model-based (deductive image preliminary classification capable of accomplishing image sub-symbolic segmentation and image symbolic pre-classification simultaneously. In the present second part of this work, a novel hybrid (combined deductive and inductive RS-IUS architecture featuring a symbolic deductive pre-attentive vision first stage is proposed and discussed in terms of: (a computational theory (system design, (b information/knowledge representation, (c algorithm design and (d implementation. As proof-of-concept of symbolic physical model-based pre-attentive vision first stage, the spectral knowledge-based, operational, near real-time, multi-sensor, multi-resolution, application-independent Satellite Image Automatic Mapper™ (SIAM™ is selected from existing literature. To the best of these authors’ knowledge, this is the first time a symbolic syntactic inference system, like SIAM™, is made available to the RS community for operational use in a RS-IUS pre-attentive vision first stage

  2. Fault management and systems knowledge

    Science.gov (United States)

    2016-12-01

    Pilots are asked to manage faults during flight operations. This leads to the training question of the type and depth of system knowledge required to respond to these faults. Based on discussions with multiple airline operators, there is agreement th...

  3. School students' knowledge and understanding of the Global Solar ...

    African Journals Online (AJOL)

    Background. The Global Solar Ultraviolet Index (UVI) is a health communication tool used to inform the public about the health risks of excess solar UV radiation and encourage appropriate sun-protection behaviour. Knowledge and understanding of the UVI has been evaluated among adult populations but not among ...

  4. Understanding indigenous knowledge: Bridging the knowledge gap through a knowledge creation model for agricultural development

    Directory of Open Access Journals (Sweden)

    Edda T. Lwoga

    2010-12-01

    Full Text Available This article addresses the management of agricultural indigenous knowledge (IK in developing countries, with a specific focus on Tanzania. It provides background details on IK and its importance for agricultural development. It introduces various knowledge management (KM concepts and discusses their application in managing IK in the developing world by placing Nonaka’s knowledge creation theory (Nonaka 1991; Nonaka & Takeuchi 1995; Nonaka, Toyama & Konno 2000 in the context of the local communities. Data from focus groups were used to triangulate with data from interviews in order to validate, confirm and corroborate quantitative results with qualitative findings. The study findings showed that knowledge creation theory can be used to manage IK in the local communities, however, adequate and appropriate resources need to be allocated for capturing and preserving IK before it disappears altogether. For sustainable agricultural development, the communities have to be placed within a knowledge-creating setting that continuously creates, distributes and shares knowledge within and beyond the communities’ boundaries and integrates it with new agricultural technologies, innovations and knowledge.

  5. 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.

  6. Intrusion Detection Systems with Live Knowledge System

    Science.gov (United States)

    2016-05-31

    AFRL-AFOSR-JP-TR-2016-0058 Intrusion Detection Systems with Live Knowledge System Byeong Ho Kang UNIVERSITY OF TASMANIA Final Report 05/31/2016...COVERED (From - To) 20 May 2015 to 19 May 2016 4. TITLE AND SUBTITLE Intrusion Detection Systems with Live Knowledge System 5a.  CONTRACT NUMBER 5b...298 10/26/2016https://livelink.ebs.afrl.af.mil/livelink/llisapi.dll Final Report for AOARD Grant FA2386-15-1-4061 “ Intrusion Detection Systems with

  7. Handling reality: three paths to understanding the knowledge society

    Directory of Open Access Journals (Sweden)

    Daniel Muriel

    2009-11-01

    Full Text Available The "knowledge society" hypothesis is a useful heuristic for understanding contemporary society after the crisis of modernity that arose in the second half of the 20th century.  I shall examine the ways in which reality can be handled (reality handlings, that is, all those material-semiotic practices  through which we try to influence the world that surrounds us. I shall focus especially on the epistemological problems of current scientific and political practices.  I conclude with three specific, but not mutually exclusive avenues that might (or might not help us fully articulate the idea of the "knowledge society": the modern-sociological, the actantial-articulative, and the genealogical.  

  8. Assessment of Parental Knowledge and Understanding of Eating Disorders.

    Science.gov (United States)

    Bryson, Amanda E; Lehman, Erik B; Iriana, Sarah M; Lane-Loney, Susan E; Ornstein, Rollyn M

    2018-03-01

    Recommended treatment of adolescent eating disorders includes active parental involvement. The purpose of this study was to assess baseline parental knowledge and understanding of eating disorders and how it is affected by participation in treatment. A cross-sectional and prospective cohort study comparing the parents of children ages 8 to 18 years seeking initial evaluation for an eating disorder at an adolescent medicine clinic (ED) to those attending appointments at a general pediatrics clinic (GP) was performed utilizing a 20-item questionnaire. There was no difference in mean scores at baseline, however after 2 months, the mean score of the ED group was significantly higher, while that of the GP group was not. The change in mean score from the first to second survey was significantly greater for the ED group than the GP group. Increased knowledge may improve self-efficacy, which plays a critical role in parents' ability to adopt eating disorder treatments.

  9. Teaching for "Historical Understanding": What Knowledge(s) Do Teachers Need to Teach History?

    Science.gov (United States)

    Tambyah, Mallihai M.

    2017-01-01

    Recent curriculum reform in history in Australia promotes "historical understanding" through discipline-based teaching practice. However, many middle school teachers are new to the scope of historical knowledge and skills required. This paper reports on a case study of five Queensland teachers in one secondary school who undertook a…

  10. Emancipatory Indigenous Knowledge Systems: implications for ...

    African Journals Online (AJOL)

    Erna Kinsey

    South Africa, 1996; National .... Indigenous Knowledge as systems that enable the continuous inte- gration of 'information' be they ... to the integration of Indigenous Knowledge Systems in education are analysed. •. Indigenous Knowledge ...

  11. Knowledge management: processes and systems | Igbinovia ...

    African Journals Online (AJOL)

    Knowledge management: processes and systems. ... Information Impact: Journal of Information and Knowledge Management ... observation, role reversal technique, and discussion forums as well as the forms of knowledge representation to include report writing, database management system and institutional repositories.

  12. Management Of Knowledge And System - Evolution Of Knowledge

    Directory of Open Access Journals (Sweden)

    Avishek Choudhury

    2015-08-01

    Full Text Available The study of knowledge is one of the most fundamental and necessary components in todays world. A claim to knowledge should be evaluated to determine whether or not it is knowledge in its real sense. To conduct this sort of evaluation understanding of what knowledge is and how much knowledge is possible is required. This paper provides an overview of the important aspects of knowledge and with the help of epistemology tries to answer the most fundamental questions of what is knowledge Moreover how do we know what we know The paper attempts to show the effect of culture on organizations and how foundational knowledge can help us develop logical decisions in a fluctuating environment. To manage an organization within evolving paradigm knowledge of variation acts as a necessary requirement. As Deming defined management as a prediction a leader must have skills to predict and adapt to its external environment. Most of the time organizations fail to observe the paradigm shift and couldnt adjust to the changing environment. The paper also discusses the effect of diverse culture and their respective interpretation of language. Thus the paper highlights the necessity of understanding human psychology attaining foundational knowledge and ability to validate the knowledge to establish a successful organization.

  13. 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

  14. Research in Knowledge Representation for Natural Language Understanding

    Science.gov (United States)

    1983-10-01

    of RUS 157 157 160 161 SECTION 9. THE PRAGMATICS OF NON-ANAPHORIC NOUN PHRASES 9.1 Introduction 163 9.2 Setting the Stage: Previous views on... ANAPHORA , ELLIPSIS, DISCOURSE,... MRL DATA BASE TRANSLATOR DBMS COMMAND GENERATOR DBMS COMMANDS FIG. 1 ORGANIZATION OF THE IRUS SYSTEM 146...understanding system (such as semantics, pragmatics , and a dialogue expert) can be used to improve the performance of the parser. The production of the

  15. Deep knowledge and knowledge compilation for dynamic systems

    International Nuclear Information System (INIS)

    Mizoguchi, Riichiro

    1994-01-01

    Expert systems are viewed as knowledge-based systems which efficiently solve real-world problems based on the expertise contained in their knowledge bases elicited from domain experts. Although such expert systems that depends on heuristics of domain experts have contributed to the current success, they are known to be brittle and hard to build. This paper is concerned with research on model-based diagnosis and knowledge compilation for dynamic systems conducted by the author's group to overcome these difficulties. Firstly, we summarize the advantages and shortcomings of expert systems. Secondly, deep knowledge and knowledge compilation is discussed. Then, latest results of our research on model-based diagnosis is overviewed. The future direction of knowledge base technology research is also discussed. (author)

  16. Knowledge representation for decision support systems

    International Nuclear Information System (INIS)

    Methlie, L.B.

    1985-01-01

    This book is organized into three sections in accordance with the structure of the conference program. First section contains four major papers which were commissioned by the Programme Committee to set the tone for the conference and to provide a structured source of relevant material from contributing disciplines. The second section contains specific papers submitted to the conference, and concerned with the following topics of specific interest: epistemological issues for decision support systems (DSS), capturing organizational knowledge for DSS, complementarity between human and formal DSS, and representations for adaption. The third section contains the short papers on any topic of relevance to the theme of the conference. It is hoped that the two working conferences organized by WG 8.3 will contribute to the development of a coherent knowledge and understanding of the class of computerized information systems called Decision Support Systems. (Auth.)

  17. 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.

  18. Children's Religious Knowledge: Implications for Understanding Satanic Ritual Abuse Allegations.

    Science.gov (United States)

    Goodman, Gail S.; Quas, Jodi A.; Bottoms, Bette L.; Qin, Jianjian; Shaver, Phillip R.

    1997-01-01

    Using a structured interview, 48 3- to 16-year-old children were questioned about their knowledge of religious and satanic concepts. Although few children evinced direct knowledge of ritual abuse, many revealed general knowledge of satanism and satanic worship. Results suggest that most children probably do not generally possess sufficient…

  19. Understanding User Behavioral Patterns in Open Knowledge Communities

    Science.gov (United States)

    Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan

    2018-01-01

    Open knowledge communities (OKCs) have become popular in the era of knowledge economy. This study aimed to explore how users collaboratively create and share knowledge in OKCs. In particular, this research identified the behavior distribution and behavioral patterns of users by conducting frequency distribution and lag sequential analyses. Some…

  20. Information systems for knowledge management

    CERN Document Server

    Saad, Inès; Gargouri, Faiez

    2014-01-01

    More and more organizations are becoming aware of the importance of tacit and explicit knowledge owned by their members which corresponds to their experience and accumulated knowledge about the firm activities. However, considering the large amount of knowledge created and used in the organization, especially with the evolution of information and communications technologies, the firm must first determine the specific knowledge on which it is necessary to focus. Creating activities to enhance identification, preservation, and use of this knowledge is a powerful mean to improve the level of econ

  1. Investigating the role of two types of understanding in relationship well-being: Understanding is more important than knowledge

    OpenAIRE

    Pollmann, M.M.H.; Finkenauer, C.

    2009-01-01

    Understanding is at the heart of intimate relationships. It is unclear, however, whether understanding-partners' subjective feeling that they understand each other-or knowledge-partners' accurate knowledge of each other-is more important for relationship well-being. The present article pits these two types of understanding against each other and investigates their effects on relationship well-being. In a prospective study among 199 newlywed couples, partners' self-reported and perceived under...

  2. Training system of knowledge society

    International Nuclear Information System (INIS)

    Ceclan, M.; Ionescu, T.B.; Ceclan, Rodica Elena; Tatar, Florin; Tiron, C.; Georgescu, Luisa Maria

    2005-01-01

    Full text: The paper aims at presenting the results of Cernavoda NPP Training Department modernization project. In order to achieve a training system of knowledge society in the first stage of the project a Computer Based Training (CBT) or E-Learning platform and several CBT objects/courses were worked out. The conceived E-Learning solution is called CBT Center and it is a complete system offering a variety of teaching and learning services to its users. CBT and/or E-Learning always mean two things: a software platform and content authoring. Ideally, a software platform should be able to import any type of flat documentation and integrate it into a structured database which keeps track of pedagogically meaningful information like the student's progress in studying materials, tests and quiz, marks, etc. At the same time, the materials, the study and the tests have to be organized around certain objectives which play the role of guidelines during the entire educational activity. An example of such a course which has been successfully integrated into CBT Center is the 'Thermodynamics'. CBT technology implementation at NPP Cernavoda Training Department has brought several advantages: the technology improves overall communication between all individuals which are part of the educational process; there is no space problem any more; students can access training materials from their own desk using the NPP intranet; the logistics problem will decrease, while more and more disciplines will be transformed as CBT objects. (authors)

  3. Intangible Knowledge. The Culture of Knowledge within Organisations from the Perspective of the Sociological Systems Theory

    Directory of Open Access Journals (Sweden)

    Tilia Stingl de Vasconcelos

    2016-02-01

    Full Text Available Knowledge can get lost when workers leave the company, or it may be missed when new challenges emerge. Specific knowledge may be important for the value-added chain of an organization, and its inaccessibility could be a problem. The work on this paper seeks to juxtapose this problem with the concept of intangible knowledge. This concept is developed as an observation model for particular situations within organisations, in which specific, useful, knowledge is no longer available and is being missed. This paper considers a potentially useful way to deal with absence of such knowledge by using the social science approach. In addition to social systems theory, the communication and cultural science view was selected here to propose a new understanding of the function of knowledge as a communicational or cultural parameter within structures and meanings of a social system. This should facilitate a better perception of the actions and dynamics inside organizations regarding knowledge or the lack thereof.

  4. How Information Visualization Systems Change Users' Understandings of Complex Data

    Science.gov (United States)

    Allendoerfer, Kenneth Robert

    2009-01-01

    User-centered evaluations of information systems often focus on the usability of the system rather its usefulness. This study examined how a using an interactive knowledge-domain visualization (KDV) system affected users' understanding of a domain. Interactive KDVs allow users to create graphical representations of domains that depict important…

  5. Developing Academic Literacies through Understanding the Nature of Disciplinary Knowledge

    Science.gov (United States)

    Clarence, Sherran; McKenna, Sioux

    2017-01-01

    Much academic development work that is framed by academic literacies, especially that focused on writing, is concerned with disciplinary conventions and knowledges: conceptual, practical, and procedural. This paper argues, however, that academic literacies work tends to conflate literacy practices with disciplinary knowledge structures, thus…

  6. Examining Multiple Dimensions of Word Knowledge for Content Vocabulary Understanding

    Science.gov (United States)

    Cervetti, Gina N.; Tilson, Jennifer L.; Castek, Jill; Bravo, Marco A.; Trainin, Guy

    2012-01-01

    This study traces the development of a vocabulary measure designed to assess multiple types of word knowledge. The assessment, which was administered in conjunction with a science unit about weather and the water cycle for third-and-fourth graders, included items for six knowledge types--recognition, definition, classification/example, context,…

  7. Understanding system trades: a tutorial

    Science.gov (United States)

    Holst, Gerald C.

    2017-05-01

    Finding the optimum design is an iterative decision process. Every step in the design process that has conflicting needs requires a trade study. Trade studies indicate which component(s) affect acquisition range the most and the least. The variables include sensor parameters (focal length, aperture diameter, detector size, noise, and viewing distance) and scenario (target size, target/background contrast, line-of-sight jitter, atmospheric transmittance, and atmospheric turbulence). With an almost infinite number of trades possible, selecting the most important requires a priori knowledge of each parameter, the relationship to others, and its effect on acquisition range.

  8. Integrated oceanographic image understanding system

    Science.gov (United States)

    Lybanon, Matthew; Peckinpaugh, Sarah H.; Holyer, Ronald J.; Cambridge, Vivian

    1991-04-01

    A system was assembled to study several aspects of locating ship targets from infrared imagery. The system was either placed on shore sites or installed on an aircraft to collect data on the scene. The primary sensor was an infrared camera which produced images of the scene at standard RS-l70 rates. Requirements that included real time operation dictated the use of a parallel architecture for this task. As no suitable commercial systems were avail able, a custom array of bit slice microprocessors was assembled for the task. Through extensive field tests strengths and limitations of the design have been identified. These lessons are being applied to the development of next generation systems. A gimbal mounted infrared camera with digitization circuitry presents a new 256 by 256 pixel image to the parallel pipelined array of 17 bit slice microprocessors thirty times a second. To extend processor performance beyond the standard commercial microprocessors. two basic bit slice designs were employed. The bit slice machines were highly tuned for the assigned tasks and algorithms. Unfortunately this restricted the desired flexibility to readily examine alternate algorithms. The fundamental architecture concept performed well quickly reducing the large array of data to manageable set of information. Real time operator displays were driven to monitor the progress of each test run. Results of the system operation were stored on video and digi tal recorders permitting more detailed analysis after each test. Non real time data reduction provided many insights into the system operation and to algorithm improvements. Substantial operator interaction. and data interpretation was required greatly slowing the post test analysis phase. Overwhelmed with data, the analysts focused on locating a few data segments of interest. Significant work remains in improving the interfaces between the field data and the powerful laboratory computers. Automation of the data analysis is also needed

  9. Interfacing knowledge systems: Local knowledge and science in Africa

    African Journals Online (AJOL)

    This discourse captures the rich combination of spirituality, materiality and the social in a concept referred to here as Cosmo vision. Nowadays this worldview co-exists with western ... The role of colonialism in subordination of the African science and knowledge system in general is discussed. The article argues that the ...

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

    DEFF Research Database (Denmark)

    Badie, Farshad

    2018-01-01

    This research employs Description Logics in order to focus on logical description and analysis of the phenomenon of ‘concept understanding’. The article will deal with a formal-semantic model for figuring out the underlying logical assumptions of ‘concept understanding’ in knowledge representation...

  11. Understanding the Codevelopment of Modeling Practice and Ecological Knowledge

    Science.gov (United States)

    Manz, Eve

    2012-01-01

    Despite a recent focus on engaging students in epistemic practices, there is relatively little research on how learning environments can support the simultaneous, coordinated development of both practice and the knowledge that emerges from and supports scientific activity. This study reports on the co-construction of modeling practice and…

  12. Looking beyond superficial knowledge gaps: understanding public representations of biodiversity

    NARCIS (Netherlands)

    Buijs, A.E.; Fischer, A.; Rink, D.; Young, J.C.

    2008-01-01

    Lack of public support for, and protest against, biodiversity management measures have often been explained by the apparently inadequate knowledge of biodiversity in the general public. In stark contrast to this assumption of public ignorance, our results from focus group discussions in The

  13. A preliminary study to understand tacit knowledge and visual routines of medical experts through gaze tracking.

    Science.gov (United States)

    Anderson, Blake; Shyu, Chi-Ren

    2010-11-13

    Many decisions made by medical experts are based on scans from advanced imaging technologies. Interpreting a medical image is a trained, systematic procedure and an excellent target for identifying potential visual routines through image informatics. These visual routines derived from experts contain many clues about visual knowledge and its representation. This study uses an inexpensive webcam-based gaze tracking method to collect data from multiple technologists' survey of medical and non-medical images. Through computational analysis of the results, we expect to provide insight into the behaviors and properties related to medical visual routines. Discovering the visual processes associated with medical images will help us recognize and understand the tacit knowledge gained from extensive experience with medical imagery. These expert routines could potentially be used to reduce medical error, train new experts, and provide an understanding of the human visual system in medicine.

  14. Middle School Mathematics Teachers' Knowledge of Students' Understanding of Core Algebraic Concepts: Equal Sign and Variable

    Science.gov (United States)

    Asquith, Pamela; Stephens, Ana C.; Knuth, Eric J.; Alibali, Martha W.

    2007-01-01

    This article reports results from a study focused on teachers' knowledge of students' understanding of core algebraic concepts. In particular, the study examined middle school mathematics teachers' knowledge of students' understanding of the equal sign and variable, and students' success applying their understanding of these concepts. Interview…

  15. Practice Alignment and intent as distinctions for understanding cross-boundary knowledge creation practices in knowledge ecosystems

    DEFF Research Database (Denmark)

    Aaen, Mathias

    This paper explores how practice alignment and intent across organizational boundaries may serve as an explanation for collaborative knowledge creation in a knowledge ecosystem. The paper is based on a longitudinal case study of a large multinational knowledge ecosystem consisting of many...... communities of practices and organisations. By applying a practice theory approach to five data sets collected over a five-year period, the study investigates how two distinctions may serve as a potential gateway into understanding knowledge creation across boundaries. The two distinctions – practice...... are identified and discussed. Potential implications for organisational and knowledge ecosystem conceptions are identified and discussed for further research....

  16. From Information System to Information and Knowledge System

    OpenAIRE

    Grundstein, Michel; Arduin, Pierre-Emmanuel; Rosenthal-Sabroux, Camille

    2014-01-01

    International audience; In this paper we notice that all definitions of information system never make a clear distinction between the notion of information and the notion of knowledge. We propose to clarify differences between data, information and knowledge by suggesting a model of an Enterprise’s Information and Knowledge System (EIKS) supported by a Digital Information System. Then, based on our knowledge management research, we propose to transpose the Enterprise’s Knowledge Management Sy...

  17. Knowledge Systems and Natural Resources: Management, Policy ...

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

    2007-10-31

    Oct 31, 2007 ... In recent years, knowledge systems have become a key area of concern for researchers, policy-makers, and development activists. Knowledge Systems and Natural Resources is a unique collection of case studies from Nepal. It provides rich and incisive insights into critical social processes and ...

  18. 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…

  19. MSFC Propulsion Systems Department Knowledge Management Project

    Science.gov (United States)

    Caraccioli, Paul A.

    2007-01-01

    This slide presentation reviews the Knowledge Management (KM) project of the Propulsion Systems Department at Marshall Space Flight Center. KM is needed to support knowledge capture, preservation and to support an information sharing culture. The presentation includes the strategic plan for the KM initiative, the system requirements, the technology description, the User Interface and custom features, and a search demonstration.

  20. CRESST Human Performance Knowledge Mapping System

    National Research Council Canada - National Science Library

    Chung, Gregory K; Michiuye, Joanne K; Brill, David G; Sinha, Ravi; Saadat, Farzad; de Vries, Linda F; Delacruz, Girlie C; Bewley, William L; Baker, Eva L

    2002-01-01

    .... This report presents a review of knowledge mapping scoring methods and current online mapping systems, and the overall design, functionality, scoring, usability testing, and authoring capabilities of the CRESST system...

  1. ViralZone: a knowledge resource to understand virus diversity.

    Science.gov (United States)

    Hulo, Chantal; de Castro, Edouard; Masson, Patrick; Bougueleret, Lydie; Bairoch, Amos; Xenarios, Ioannis; Le Mercier, Philippe

    2011-01-01

    The molecular diversity of viruses complicates the interpretation of viral genomic and proteomic data. To make sense of viral gene functions, investigators must be familiar with the virus host range, replication cycle and virion structure. Our aim is to provide a comprehensive resource bridging together textbook knowledge with genomic and proteomic sequences. ViralZone web resource (www.expasy.org/viralzone/) provides fact sheets on all known virus families/genera with easy access to sequence data. A selection of reference strains (RefStrain) provides annotated standards to circumvent the exponential increase of virus sequences. Moreover ViralZone offers a complete set of detailed and accurate virion pictures.

  2. KNOWLEDGE MANAGEMENT AND INFORMATION SYSTEMS IN ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    Karla Torres

    2015-11-01

    Full Text Available At present, knowledge and information are considered vital resources for organizations, so some of them have realized that the creation, transfer and knowledge management are essential for success. This paper aims to demonstrate knowledge management as a transformative power for organizations using information systems; addressing the study from the interpretive perspective with the use of hermeneutical method in theory, documentary context. It is concluded that people living in a changing characteristic environment of the globalized world companies and motivated by the same company changes have accelerated in them the generation and acquisition of new knowledge and innovative capabilities to achieve competitive positions with the help of systems of information.

  3. Preschool-aged children’s understanding of gratitude: Relations with emotion and mental state knowledge

    Science.gov (United States)

    Nelson, Jackie A.; de Lucca Freitas, Lia Beatriz; O’Brien, Marion; Calkins, Susan D.; Leerkes, Esther M.; Marcovitch, Stuart

    2016-01-01

    Developmental precursors to children’s early understanding of gratitude were examined. A diverse group of 263 children were tested for emotion and mental state knowledge at ages 3 and 4, and their understanding of gratitude was measured at age 5. Children varied widely in their understanding of gratitude, but most understood some aspects of gratitude-eliciting situations. A model-building path analysis approach was used to examine longitudinal relations among early emotion and mental state knowledge and later understanding of gratitude. Children with a better early understanding of emotions and mental states understand more about gratitude. Mental state knowledge at age 4 mediated the relation between emotion knowledge at age 3 and gratitude understanding at age 5. The current study contributes to the scant literature on the early emergence of children’s understanding of gratitude. PMID:23331105

  4. Understanding complex systems: lessons from Auzoux's and von ...

    Indian Academy of Sciences (India)

    2009-12-09

    Dec 9, 2009 ... Animal and human anatomy is among the most complex systems known, and suitable teaching methods have been of great importance in the progress of knowledge. Examining the human body is part of the process by which medical students come to understand living forms. However, the need to ...

  5. Metabolic modeling to understand and redesign microbial systems

    NARCIS (Netherlands)

    Heck, van Ruben G.A.

    2017-01-01

    The goals of this thesis are to increase the understanding of microbial metabolism and to functionally (re-)design microbial systems using Genome- Scale Metabolic models (GSMs). GSMs are species-specific knowledge repositories that can be used to predict metabolic activities for wildtype and

  6. Understanding "Understanding" Flow for Network-Centric Warfare: Military Knowledge-Flow Mechanics

    National Research Council Canada - National Science Library

    Nissen, Mark

    2002-01-01

    Network-centric warfare (NCW) emphasizes information superiority for battlespace efficacy, but it is clear that the mechanics of how knowledge flows are just as important as those pertaining to the networks and communication...

  7. 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...

  8. Sustainability of Italian wines: Knowledge, understanding, and interest of consumers

    Directory of Open Access Journals (Sweden)

    Borra Danielle

    2014-01-01

    Full Text Available The continuous consumption of resources and the progressive climatic changes have contributed to develop a new range of products with a “greener” vocation. After the shift to organic and biodynamic production, companies have started to promote products' sustainability. The wine sector has undergone a transformation connected with the emergence of several projects related to the concept of sustainability. But what the consumer knows and thinks of all this? In this regard, it was carried out a study about the perception of the consumer on issues related to sustainability. The goals are multiple: to define the concept of sustainability perceived by consumers, to evaluate the spread of eco-friendly products, to measure the interest and willingness in spending on these products and finally to assess the knowledge of the main brands that identify some sustainable projects. Thanks to this first part that fits into a larger study still in progress, it was possible to obtain an initial assessment of the motivations that influence the purchase of wine, learn more about the consumer on these issues and assess the prevalence of brands associated with each of these major projects on the Italian scene.

  9. Documenting indigenous knowledge systems in Africa: prospects ...

    African Journals Online (AJOL)

    Indigenous knowledge (IK) systems are very important for the communities from which they come from. Such knowledge dictates how people behave generally, how they relate with the land and other resources that they have, and how they make sense of the world around them. IK's importance is seemingly being ...

  10. The Internet Knowledge Manager, Dynamic Digital Libraries, and Agents You Can Understand.

    Science.gov (United States)

    Walker, Adrian

    1998-01-01

    Discusses the Internet Knowledge Manager (IKM) which provides an understandable way of representing knowledge, as readable software agents. Gives an example of writing and running an IKM agent for transfer pricing in corporations. Describes how the technology works. Concludes that the IKM could trigger new ways of performing knowledge management,…

  11. NOUS: A Knowledge Graph Management System

    Energy Technology Data Exchange (ETDEWEB)

    2017-06-26

    Knowledge graphs represent information as entities and relationships between them. For tasks such as natural language question answering or automated analysis of text, a knowledge graph provides valuable context to establish the specific type of entities being discussed. It allow us to derive better context about newly arriving information and leads to intelligent reasoning capabilities. We address two primary needs: A) Automated construction of knowledge graphs is a technically challenging, expensive process; and B) The ability to synthesize new information by monitoring newly emerging knowledge is a transformational capability that does not exist in state of the art systems.

  12. Gulf War Syndrome: a review of current knowledge and understanding.

    Science.gov (United States)

    Minshall, D

    2014-01-01

    The 1991 Persian Gulf War was a resounding military success for coalition forces, who liberated Kuwait following the Iraqi invasion. The medical legacy we have from the conflict is the poorly understood, yet remarkable, phenomenon of Gulf War Syndrome, which surfaced soon after. Epidemiological research has proven beyond doubt that Gulf War veterans report a wide variety of symptoms, in excess of appropriately matched control subjects, and experience worse general health. Numerous toxic environmental hazards have been suggested as causes of Gulf War Syndrome, yet exhaustive scientific study has failed to provide conclusive proof of any link. No novel or recognised disease has been found to account for the symptomatic burden of veterans, and the optimal treatment remains uncertain. This understanding can be added to from an anthropological perspective, where the narratives of those afflicted provide further insight. The nature of military life was changing at the time of the Gulf War, challenging the identity and beliefs of some veterans and causing socio-cultural distress. The symptomatic presentation of Gulf War Syndrome can be considered an articulation of this disharmony. Gulf War Syndrome can also be considered within the group of post-combat disorders such as shellshock, the like of which have occurred after major wars in the last century. With the current withdrawal from Afghanistan, the Defence Medical Services (DMS) should heed the lessons of history.

  13. Knowledge-based optical system design

    Science.gov (United States)

    Nouri, Taoufik

    1992-03-01

    This work is a new approach for the design of start optical systems and represents a new contribution of artificial intelligence techniques in the optical design field. A knowledge-based optical-systems design (KBOSD), based on artificial intelligence algorithms, first order logic, knowledge representation, rules, and heuristics on lens design, is realized. This KBOSD is equipped with optical knowledge in the domain of centered dioptrical optical systems used at low aperture and small field angles. It generates centered dioptrical, on-axis and low-aperture optical systems, which are used as start systems for the subsequent optimization by existing lens design programs. This KBOSD produces monochromatic or polychromatic optical systems, such as singlet lens, doublet lens, triplet lens, reversed singlet lens, reversed doublet lens, reversed triplet lens, and telescopes. In the design of optical systems, the KBOSD takes into account many user constraints such as cost, resistance of the optical material (glass) to chemical, thermal, and mechanical effects, as well as the optical quality such as minimal aberrations and chromatic aberrations corrections. This KBOSD is developed in the programming language Prolog and has knowledge on optical design principles and optical properties. It is composed of more than 3000 clauses. Inference engine and interconnections in the cognitive world of optical systems are described. The system uses neither a lens library nor a lens data base; it is completely based on optical design knowledge.

  14. Innovation system and knowledge-intensive entrepreneurship

    DEFF Research Database (Denmark)

    Timmermans, Bram

    2011-01-01

    The goal of this deliverable is to investigate the properties and the nature of knowledge-intensive entrepreneurship as a largely distributed phenomenon at firm, sector and national levels in Denmark. Following the guidelines previously developed in the Deliverable 2.2.1 “Innovation systems...... and knowledge-intensive entrepreneurship: Analytical framework and guidelines for case study research” I will investigate the interplay between national innovation systems and knowledge- intensive entrepreneurship by focusing on two main sectors: machine tools, and computer and related activities....

  15. Understanding Patterns for System of Systems Integration

    DEFF Research Database (Denmark)

    Kazman, Rick; Schmid, Klaus; Nielsen, Claus Ballegård

    2013-01-01

    of systems integration patterns. These characteristics at the same time support the architecting process by highlighting important issues a SoS architect needs to consider. We discuss the consolidated template and illustrate it with an example pattern. We also discuss the integration of this novel pattern...

  16. A Foundation for Understanding Knowledge Sharing: Organizational Culture, Informal Workplace Learning, Performance Support, and Knowledge Management

    Science.gov (United States)

    Caruso, Shirley J.

    2017-01-01

    This paper serves as an exploration into some of the ways in which organizations can promote, capture, share, and manage the valuable knowledge of their employees. The problem is that employees typically do not share valuable information, skills, or expertise with other employees or with the entire organization. The author uses research as well as…

  17. Preschool-Aged Children's Understanding of Gratitude: Relations with Emotion and Mental State Knowledge

    Science.gov (United States)

    Nelson, Jackie A.; de Lucca Freitas, Lia Beatriz; O'Brien, Marion; Calkins, Susan D.; Leerkes, Esther M.; Marcovitch, Stuart

    2013-01-01

    Developmental precursors to children's early understanding of gratitude were examined. A diverse group of 263 children was tested for emotion and mental state knowledge at ages 3 and 4, and their understanding of gratitude was measured at age 5. Children varied widely in their understanding of gratitude, but most understood some aspects of…

  18. Understanding and controlling the enteric nervous system

    NARCIS (Netherlands)

    Boeckxstaens, G. E.

    2002-01-01

    The enteric nervous system or the `Little Brain' of the gut controls gastrointestinal motility and secretion, and is involved in visceral sensation. In this chapter, new developments in understanding the function of the enteric nervous system are described. In particular, the interaction of this

  19. Home Environment Service Knowledge Management System

    DEFF Research Database (Denmark)

    Zhang, Jiang; Rossello Busquet, Ana; Soler, José

    2011-01-01

    This paper makes three contributions to assist households to control their home devices in an easy way and to simplify the software installation and configuration processes across multi-vendor environments. First, a Home Environment Service Knowledge Management System is proposed, which is based...... on the knowledge implemented by ontology and uses the inference function of reasoner to find out available software services according to household requests. Second, this paper provides a concrete methodology to exploit and acquire conflict-free information from ontology knowledge by using a reasoner. At last...

  20. Knowledge Mobilisation in the Polish Education System

    Science.gov (United States)

    Fazlagic, Jan; Erkol, Arif

    2015-01-01

    Poland has made substantial progress in improving the quality of its education system in recent years. This paper aims to describe the situation of the Polish education system from a knowledge management perspective and, to some extent, through innovation policies in education. The many challenges, this paper argues, can be tackled only through…

  1. African Traditional Knowledge Systems and Biodiversity Management

    African Journals Online (AJOL)

    There is a link between African Traditional Knowledge Systems and the management of Biodiversity. These have been passed over from one generation to the next through oral tradition. The lack of documentation of these systems of managing biodiversity has led to the existence of a gap between the scientifi cally based ...

  2. Towards Modern Collaborative Knowledge Sharing Systems

    CERN Document Server

    Świrski, Konrad

    2012-01-01

    The development of new technologies still accelerates. As a result the requirement of easy access to high quality information is essential in modern scientific society. We believe that new cloud-based online system will replace the old system of books and magazines in the future. This is mainly because contemporary system of journal and conference publications appears to be outdated, especially in such domains as computer science, because process of publishing of an article takes too much time. In this book a new approach of sharing knowledge is proposed. The main idea behind this new approach is to take advantage of collaboration techniques used in industry to share the knowledge and build teams which work on the same subject at different locations. This will allow to accelerate the exchange of information between scientists and allow to build global teams of researchers who deal with the same scientific subjects. Furthermore, an easy access to structured knowledge will facilitate cross domain cooperation. T...

  3. Study on supporting system for operator's comprehensive understanding

    International Nuclear Information System (INIS)

    Yoshikawa, Shinji

    1996-01-01

    Power Reactor and Nuclear Fuel Development Corp. has participated in the development of a system to support the process of operator's plant understanding by the use of information processing techniques such as artificial intelligence since 1994. Analysis and model formation of the process leading to operator's comprehensive understanding of plant (mental model) are undertaken attempting to determine the basic structure of the mental model available for the description of knowledge using the precedent survey and to observe how to utilize operator's own knowledge. After consideration of the way by which plant operators utilize their physical knowledges and the knowledges of physical observation in practice, a basic structure composed of 3 components a qualitative causal network, a hierarchical function model and 3 links joining the two was proposed for the mental model. A questionnaire survey on operator's statements was made and the contents were assigned in several categories for objective analysis. An unified form usable to make a data base was established. Further, we have a plan to develop the first proto-type system to promote operator's understanding by 1998. (M.N.)

  4. Water Diplomacy: A Synthesis of Water Information and Understanding to Create Actionable Knowledge

    Science.gov (United States)

    Gao, Y.; Islam, S.

    2010-12-01

    Water issues are complex because they cross multiple boundaries and involve various stakeholders with competing needs. The origin of many water issues is a dynamic consequence of competition and feedback among variables in the natural, societal and political domains. When viewed as a limited resource, water lends itself to destructive conflicts over its division; knowledge of water, however, can transform a finite water quantity into a flexible resource. To generate such a transformative knowledge base for water, we need a framework to synthesize explicit (scientific information) and tacit (contextual understanding) water knowledge. Such a framework must build on scientific objectivity and be cognizant of contextual differences inherent to water issues. An example of such an approach is qualitative reasoning (QR) that was developed by the artificial intelligence community to provide non-numerical descriptions of systems and their qualitative and quantitative behavior while preserving important behavioral properties and qualitative distinctions. Using the Apalachicola-Chattahoochee-Flint River Basin (ACF Basin) as an example we will illustrate the use of QR to model and analyze water conflicts in the context of a coupled Natural and Societal Domain (NSD) framework. Two QR models related to the ACF water dispute will be compared and contrasted. Our results suggest that QR models within a NSD framework can provide ways to resolve complex water problems through negotiated solutions.

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

    Science.gov (United States)

    Rodway, Joelle

    2015-01-01

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

  6. Managing, Understanding, Applying, and Creating Knowledge in the Information Age: Next-Generation Challenges and Opportunities

    Science.gov (United States)

    Goldman, Susan R.; Scardamalia, Marlene

    2013-01-01

    New media, new knowledge practices, and concepts point to the need for greater understanding of cognitive processes underlying knowledge acquisition and generation in open informational worlds. The authors of the articles in this special issue address cognitive and instructional challenges surrounding multiple document comprehension--a…

  7. A Case Study of Interscholastic Coaches and Counselors: Understanding Knowledge of NCAA Freshmen Eligibility Requirements

    Science.gov (United States)

    McCalla, Howard L.

    2013-01-01

    Limited knowledge or misinformation about NCAA eligibility rules or requirements can have a negative impact on student-athletes' exposure to Division I athletics. This exploratory holistic multiple case study was designed to delve deeply into the understanding of high school coaches and counselor's knowledge of NCAA rules concerning freshmen…

  8. Knowledge Sharing for Common Understanding of Technical Specifications Through Artifactual Culture

    DEFF Research Database (Denmark)

    Zahedi, Mansooreh; Babar, Muhammad Ali

    2014-01-01

    specification knowledge. We also present the practices that make up the artifact-based knowledge sharing system in the studied case. Finally, we shed some light on the caveats of knowledge sharing practices adopted by the studied company. The findings can provide useful insights into the artifact...

  9. Value Creation through IT-supported Knowledge Management? The Utilisation of a Knowledge Management System in a Global Consulting Company

    Directory of Open Access Journals (Sweden)

    Karlheinz Kautz

    2003-01-01

    Full Text Available Although many consulting companies have introduced IT-supported knowledge-management systems, and proponents of the literature continue to advocate knowledge management as a key to competitive advantage in consultancies, many knowledge management systems have fallen short of expectation in companies that have adopted them. However, empirical studies regarding the performance implications of these systems are missing. This paper reports such an empirical, explorative study identifying the extent as well as impediments of the utilization of an IT-supported knowledge management system in a large, global consulting company. The main findings are that the majority of the IT users are not familiar with the knowledge management framework of the company; still the knowledge management system is used by 3/4 of all respondents, but mainly to search for general information, much less to participate in competence networks to develop shared knowledge assets. The knowledge management system is not used as the primary repository and communication media for knowledge assets. The limited use is explained by the practitioners as being caused by lack of time and their perception of the system as a slow and poorly structured technical infrastructure. These and other findings are discussed with regard to the current understanding of knowledge management as presented by the literature, and important issues with regard to future research integrating individual, organisational, technical and economical perspectives of knowledge management are raised.

  10. 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...

  11. Japanese Children's Understanding of Notational Systems

    Science.gov (United States)

    Takahashi, Noboru

    2012-01-01

    This study examined Japanese children's understanding of two Japanese notational systems: "hiragana" and "kanji". In three experiments, 126 3- to 6-year-olds were asked to name words written in hiragana or kanji as they appeared with different pictures. Consistent with Bialystok ("Journal of Experimental Child…

  12. Understanding Nuclear Safety Culture: A Systemic Approach

    International Nuclear Information System (INIS)

    Afghan, A.N.

    2016-01-01

    The Fukushima accident was a systemic failure (Report by Director General IAEA on the Fukushima Daiichi Accident). Systemic failure is a failure at system level unlike the currently understood notion which regards it as the failure of component and equipment. Systemic failures are due to the interdependence, complexity and unpredictability within systems and that is why these systems are called complex adaptive systems (CAS), in which “attractors” play an important role. If we want to understand the systemic failures we need to understand CAS and the role of these attractors. The intent of this paper is to identify some typical attractors (including stakeholders) and their role within complex adaptive system. Attractors can be stakeholders, individuals, processes, rules and regulations, SOPs etc., towards which other agents and individuals are attracted. This paper will try to identify attractors in nuclear safety culture and influence of their assumptions on safety culture behavior by taking examples from nuclear industry in Pakistan. For example, if the nuclear regulator is an attractor within nuclear safety culture CAS then how basic assumptions of nuclear plant operators and shift in-charges about “regulator” affect their own safety behavior?

  13. Learning object repositories as knowledge management systems

    Directory of Open Access Journals (Sweden)

    Demetrios G. Sampson

    2013-06-01

    Full Text Available Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their creators for open access and potential reuse. Nevertheless, most of the existing LORs are designed more as digital repositories, rather than as Knowledge Management Systems (KMS. By exploiting KMSs functionalities in LORs would bare the potential to support the organization and sharing of educational communities’ explicit knowledge (depicted in digital educational resources constructed by teachers and/or instructional designers and tacit knowledge (depicted in teachers’ and students’ experiences and interactions of using digital educational resources available in LORs. Within this context, in this paper we study the design and the implementation of fourteen operating LORs from the KMSs’ perspective, so as to identify additional functionalities that can support the management of educational communities’ explicit and tacit knowledge. Thus, we propose a list of essential LORs’ functionalities, which aim to facilitate the organization and sharing of educational communities’ knowledge. Finally, we present the added value of these functionalities by identifying their importance towards addressing the current demands of web-facilitated educational communities, as well as the knowledge management activities that they execute.

  14. Indilinga: African Journal of Indigenous Knowledge Systems ...

    African Journals Online (AJOL)

    Focus and Scope. Welcome to Indilinga: African Journal of Indigenous Knowledge Systems (IAJIKS). The name Indilinga: stands for the "circular orientation" of indigenous African communities which is exhibited in their material culture and behaviour. The journal has been motivated by the need for a dependable expression ...

  15. Indigenous knowledge systems and development | Higgs | Indilinga ...

    African Journals Online (AJOL)

    Indilinga: African Journal of Indigenous Knowledge Systems. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 14, No 1 (2015) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. DOWNLOAD FULL TEXT ...

  16. Dynamic systems for everyone understanding how our world works

    CERN Document Server

    Ghosh, Asish

    2015-01-01

    This book is a study of the interactions between different types of systems, their environment, and their subsystems.  The author explains how basic systems principles are applied in engineered (mechanical, electromechanical, etc.) systems and then guides the reader to understand how the same principles can be applied to social, political, economic systems, as well as in everyday life.  Readers from a variety of disciplines will benefit from the understanding of system behaviors and will be able to apply those principles in various contexts.  The book includes many examples covering various types of systems.  The treatment of the subject is non-mathematical, and the book considers some of the latest concepts in the systems discipline, such as agent-based systems, optimization, and discrete events and procedures.  ·         Shows how system knowledge may be applied in many different areas without the need for deep mathematical knowledge; ·         Demonstrates how to model and simulate s...

  17. Dynamic systems for everyone understanding how our world works

    CERN Document Server

    Ghosh, Asish

    2017-01-01

    Systems are everywhere and we are surrounded by them. We are a complex amalgam of systems that enable us to interact with an endless array of external systems in our daily lives. They are electrical, mechanical, social, biological, and many other types that control our environment and our well-being. By appreciating how these systems function, will broaden our understanding of how our world works. Readers from a variety of disciplines will benefit from the knowledge of system behavior they will gain from this book and will be able to apply those principles in various contexts. The treatment of the subject is non-mathematical, and the book considers some of the latest concepts in the systems discipline, such as agent based systems, optimization, and discrete events and procedures. The diverse range of examples provided in this book, will allow readers to: Apply system knowledge at work and in daily life without deep mathematical knowledge; Build models and simulate system behaviors on a personal computer; Opti...

  18. Pre-Service Teachers' Understanding of Fraction Multiplication, Representational Knowledge, and Computational Skills

    Science.gov (United States)

    Son, Ji-Won; Lee, Ji-Eun

    2016-01-01

    Despite the importance of teacher fractional knowledge, there are several areas of teacher understanding that are not well understood. The purpose of this study was to characterise profiles of pre-service teachers' (PSTs) mathematical competence on the topic of fraction multiplication by examining PSTs' understanding of multiplication of fractions…

  19. Knowledge-based methods for control systems

    International Nuclear Information System (INIS)

    Larsson, J.E.

    1992-01-01

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

  20. Understanding the Implementation of Knowledge Management in High-Performance Schools in Malaysia

    Directory of Open Access Journals (Sweden)

    Rahmad Sukor Ab. Samad

    2014-12-01

    Full Text Available This study intends to assess the implementation of policies in high-performance schools (HPS. One hundred fifty-two administrators in 52 HPS were selected using full sampling. Only two factors serve as contributors in knowledge management model for high-performing schools in Malaysia, which were school culture and school strategy. Whereas the correlation indicated that all 10 factors, namely, mission and vision, school strategy, school culture, intellectual modal, learning organization, leadership management, teamwork and learning community, knowledge sharing, new knowledge generation, and digital advancement, have significant relationships with the understanding of knowledge management, at different levels.

  1. Proposition of diagnostic tool to provide indicatives about the understanding of biological knowledge and their interrelationships

    Directory of Open Access Journals (Sweden)

    Ana Maria de Andrade Caldeira

    2016-06-01

    Full Text Available This paper describes the developing and validating steps of a Likert’s evaluative scale. The aim is to systematize the answers of Biological Sciences students about to: 1 Understanding or notunderstanding thescientific knowledge; and 2.If there is a relationship amongscientific concepts in order to contemplate a systemic thinking about natural phenomena. The described scale was validated by Cronbach's Alpha tests (α = 0.741, KMO (0.779 and Bartlett (0.000 and a Multivariate Analysis was fulfilled, typePrincipal Component Analysis (PCA. We understood that this kind of instrument allows a large amount of data to be collected and it groups can be compared efficiently, which justified the development of evaluative scale presented here.

  2. Understanding Supply Networks from Complex Adaptive Systems

    Directory of Open Access Journals (Sweden)

    Jamur Johnas Marchi

    2014-10-01

    Full Text Available This theoretical paper is based on complex adaptive systems (CAS that integrate dynamic and holistic elements, aiming to discuss supply networks as complex systems and their dynamic and co-evolutionary processes. The CAS approach can give clues to understand the dynamic nature and co-evolution of supply networks because it consists of an approach that incorporates systems and complexity. This paper’s overall contribution is to reinforce the theoretical discussion of studies that have addressed supply chain issues, such as CAS.

  3. NASDA knowledge-based network planning system

    Science.gov (United States)

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

    1993-01-01

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

  4. Knowledge Systems and Natural Resources : Management, Policy ...

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

    31 oct. 2007 ... Knowledge Systems and Natural Resources est un recueil unique d'études de cas réalisées au Népal. Cet ouvrage apporte un éclairage ... Un débat d'experts organisé par le CRDI s'attaque au mariage précoce lors du forum sur la condition des femmes à l'ONU. Des chercheurs appuyés par le CRDI ...

  5. Serving Diverse Knowledge Systems in Academia

    Directory of Open Access Journals (Sweden)

    William F. Birdsall

    2009-06-01

    Full Text Available Libraries and academic disciplines are experiencing a major transformation to the digital era. A challenge for libraries is to adapt and coordinate their transformation with differing rates and types of changes in teaching, research, and scholarly communication among the disciplines they serve. This paper argues libraries need to acknowledge the diversity of knowledge systems and adopt a strategy that requires collaboration between libraries and multiple communities of knowing in the development and provision of heterogeneous services.

  6. Reconceptualizing the understanding of professional knowledge in day care work in Denmark

    DEFF Research Database (Denmark)

    Schmidt, Camilla

    Re conceptualizing the understanding of professional knowledge in day care work As development of children’s competences increasingly sets the agenda for what counts as professional practice in day care, there is a risk that the majority of everyday practices become invisible, unnoticed and regar...... of departure in participative research conducted in day care institutions for 0-6 year olds, focusing on reconceptualizing pedagogical knowledge and paying attention to interrelations in every day practices....

  7. Knowledge to Action - Understanding Natural Hazards-Induced Power Outage Scenarios for Actionable Disaster Responses

    Science.gov (United States)

    Kar, B.; Robinson, C.; Koch, D. B.; Omitaomu, O.

    2017-12-01

    The Sendai Framework for Disaster Risk Reduction 2015-2030 identified the following four priorities to prevent and reduce disaster risks: i) understanding disaster risk; ii) strengthening governance to manage disaster risk; iii) investing in disaster risk reduction for resilience and; iv) enhancing disaster preparedness for effective response, and to "Build Back Better" in recovery, rehabilitation and reconstruction. While forecasting and decision making tools are in place to predict and understand future impacts of natural hazards, the knowledge to action approach that currently exists fails to provide updated information needed by decision makers to undertake response and recovery efforts following a hazard event. For instance, during a tropical storm event advisories are released every two to three hours, but manual analysis of geospatial data to determine potential impacts of the event tends to be time-consuming and a post-event process. Researchers at Oak Ridge National Laboratory have developed a Spatial Decision Support System that enables real-time analysis of storm impact based on updated advisory. A prototype of the tool that focuses on determining projected power outage areas and projected duration of outages demonstrates the feasibility of integrating science with decision making for emergency management personnel to act in real time to protect communities and reduce risk.

  8. Media System, Public Knowledge and Democracy

    DEFF Research Database (Denmark)

    Curran, James; Iyengar, Shanto; Lund, Anker Brink

    2009-01-01

    This article addresses the implications of the movement towards entertainment-centred, market-driven media by comparing what is reported and what the public knows in four countries with different media systems. The different systems are public service (Denmark and Finland), a `dual' model (UK) an...... consumption and contributes to a smaller within-nation knowledge gap between the advantaged and disadvantaged. But wider processes in society take precedence over the organization of the media in determining how much people know about public life...

  9. Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation

    Directory of Open Access Journals (Sweden)

    Masao Yokota

    2012-01-01

    Full Text Available Mental image directed semantic theory (MIDST has proposed an omnisensory mental image model and its description language Lmd. This language is designed to represent and compute human intuitive knowledge of space and can provide multimedia expressions with intermediate semantic descriptions in predicate logic. It is hypothesized that such knowledge and semantic descriptions are controlled by human attention toward the world and therefore subjective to each human individual. This paper describes Lmd expression of human subjective knowledge of space and its application to aware computing in cross-media operation between linguistic and pictorial expressions as spatial language understanding.

  10. Dependency visualization for complex system understanding

    Energy Technology Data Exchange (ETDEWEB)

    Smart, J. Allison Cory [Univ. of California, Davis, CA (United States)

    1994-09-01

    With the volume of software in production use dramatically increasing, the importance of software maintenance has become strikingly apparent. Techniques now sought and developed for reverse engineering and design extraction and recovery. At present, numerous commercial products and research tools exist which are capable of visualizing a variety of programming languages and software constructs. The list of new tools and services continues to grow rapidly. Although the scope of the existing commercial and academic product set is quite broad, these tools still share a common underlying problem. The ability of each tool to visually organize object representations is increasingly impaired as the number of components and component dependencies within systems increases. Regardless of how objects are defined, complex ``spaghetti`` networks result in nearly all large system cases. While this problem is immediately apparent in modem systems analysis involving large software implementations, it is not new. As will be discussed in Chapter 2, related problems involving the theory of graphs were identified long ago. This important theoretical foundation provides a useful vehicle for representing and analyzing complex system structures. While the utility of directed graph based concepts in software tool design has been demonstrated in literature, these tools still lack the capabilities necessary for large system comprehension. This foundation must therefore be expanded with new organizational and visualization constructs necessary to meet this challenge. This dissertation addresses this need by constructing a conceptual model and a set of methods for interactively exploring, organizing, and understanding the structure of complex software systems.

  11. Understanding and Modeling Teams As Dynamical Systems

    Directory of Open Access Journals (Sweden)

    Jamie C. Gorman

    2017-07-01

    Full Text Available By its very nature, much of teamwork is distributed across, and not stored within, interdependent people working toward a common goal. In this light, we advocate a systems perspective on teamwork that is based on general coordination principles that are not limited to cognitive, motor, and physiological levels of explanation within the individual. In this article, we present a framework for understanding and modeling teams as dynamical systems and review our empirical findings on teams as dynamical systems. We proceed by (a considering the question of why study teams as dynamical systems, (b considering the meaning of dynamical systems concepts (attractors; perturbation; synchronization; fractals in the context of teams, (c describe empirical studies of team coordination dynamics at the perceptual-motor, cognitive-behavioral, and cognitive-neurophysiological levels of analysis, and (d consider the theoretical and practical implications of this approach, including new kinds of explanations of human performance and real-time analysis and performance modeling. Throughout our discussion of the topics we consider how to describe teamwork using equations and/or modeling techniques that describe the dynamics. Finally, we consider what dynamical equations and models do and do not tell us about human performance in teams and suggest future research directions in this area.

  12. Moving beyond a knowledge deficit perspective to understand climate action by youth

    Science.gov (United States)

    Busch, K. C.

    2016-12-01

    This presentation reports on an experiment testing two framings of uncertainty on students' intent to take action to mitigate climate change. Additionally, to explore possible mechanisms involved in the choice of taking mitigating action, several factors highlighted within behavior theory literature were measured to create a theoretical model for youth's choice to take mitigating action. The factors explored were: knowledge, certainty, affect, efficacy, and social norms. The experiment was conducted with 453 middle and high school students within the Bay Area. Findings indicated that these students did hold a basic understanding of the causes and effects of climate change. They were worried and felt negatively about the topic. They felt somewhat efficacious about their personal ability to mitigate climate change. The students reported that they associated with people who were more likely to think climate change was real and caused by humans. Students also reported that they often take part in private pro-environmental behaviors such as using less electricity. When asked to respond freely to a question about what think about climate change, participants described the negative effects of human-caused climate change on Earth systems at the global scale and as a current phenomenon. The results of the experiment showed that while the text portraying climate change with high uncertainty did affect student's own certainty and their perception of scientists' certainty, it did not affect behavioral intention. This result can be explained through regression analysis. It was found that efficacy and social norms were direct determinants of pro-environmental behaviors. The cognitive variables - knowledge and certainty - and the psychological variable - affect - were not significant predictors of pro-environmental behavior. The implications for this study are that while students hold basic understanding of the causes and effects of climate change, this understanding lacks

  13. Border Crossing Knowledge Systems: A PNG Teacher's Autoethnography

    Science.gov (United States)

    Reta, Medi

    2010-01-01

    Narratives have always been integral to Indigenous knowledge transfer. In this autoethnography the author shares her border crossings between her Indigenous knowledge systems and the often dominant Western knowledge system. Pertinent to these experiences are the stark contrasts that exist between the two knowledge systems and their educational…

  14. Understanding Arsenic Dynamics in Agronomic Systems to ...

    Science.gov (United States)

    This review is on arsenic in agronomic systems, and covers processes that influence the entry of arsenic into the human food supply. The scope is from sources of arsenic (natural and anthropogenic) in soils, biogeochemical and rhizosphere processes that control arsenic speciation and availability, through to mechanisms of uptake by crop plants and potential mitigation strategies. This review makes a case for taking steps to prevent or limit crop uptake of arsenic, wherever possible, and to work toward a long-term solution to the presence of arsenic in agronomic systems. The past two decades have seen important advances in our understanding of how biogeochemical and physiological processes influence human exposure to soil arsenic, and thus must now prompt an informed reconsideration and unification of regulations to protect the quality of agricultural and residential soils. Consumption of staple foods such as rice, beverages such as apple juice, or vegetables grown in historically arsenic-contaminated soils is now recognized as a tangible route of arsenic exposure that, in many cases, is more significant than exposure from drinking water. Understanding the sources of arsenic to crop plants and the factors that influence them is key to reducing exposure now and preventing exposure in future. In addition to the abundant natural sources of arsenic, there are a large number of industrial and agricultural sources of arsenic to the soil; from mining wastes, coal fly

  15. Describing Instrumental Music Teachers' Thinking: Implications for Understanding Pedagogical Content Knowledge

    Science.gov (United States)

    Millican, J. Si

    2013-01-01

    Pedagogical content knowledge, the particular ways that teachers understand their subjects in order to instruct others, has been described and explored in the math and science education fields in some depth, yet little research exists illustrating this concept in music instruction. I used a descriptive approach to explore expert beginning band…

  16. Understanding researchers’ strategic behaviour in knowledge production: a case of social science and nanotechnology researchers

    NARCIS (Netherlands)

    Zalewska-Kurek, Katarzyna

    2016-01-01

    Purpose This paper seeks to understand the strategic behaviour of researchers when producing knowledge in two scientific fields – nanotechnology and social sciences. Design/methodology/approach The author conducted semi-structured interviews with 43 researchers to analyse the needs for strategic

  17. Knowledge requirements for information systems outsourcing

    CSIR Research Space (South Africa)

    Smuts, H

    2015-07-01

    Full Text Available . At the same time, the organisation may risk losing key skills and capabilities unless the outsourcing arrangement is managed strategically and knowledge transferred properly. Knowledge management is valuable in preventing a loss of knowledge when...

  18. The process of using knowledge: systemic approach

    Directory of Open Access Journals (Sweden)

    Leonid BABII

    2017-09-01

    Full Text Available The notions of data, knowledge, information, their theoretical and practical importance are analyzed and interpreted. Emphasis is placed on the evolution of knowledge, on the need to update knowledge, to use knowledge optimally. It is proposed the “chain” of generating knowledge, using it, and the factors with impact on knowledge are enumerated. The material can be useful to practitioners, governors, students of all backgrounds, master students, and collaborators of scientific institutions.

  19. Understanding Organizational Learning via Knowledge Management in Government-Link Companies in Malaysia

    Science.gov (United States)

    Helmi, Asleena; Ahmad, Zainal Ariffin; Hung, Daisy Kee Mui

    The knowledge management or KM discipline conjures a host of understanding and impact upon the global business community albeit commercially or socially. Regardless of the different approach to KM, it has inarguably brought about changes in viewing the knowledge capabilities and capacities of organizations. Peter Drucker (1998) argued that knowledge has become the key economic resource and the only source of competitive advantage. Hence organizational learning is an integral part of KM initiatives and has been widely practiced in many large organizations and across nations such as Europe, North America and Asia Pacific. Thus, this paper explores the KM initiatives of government link companies (GLCs) in Malaysia via synergizing knowledge strategy and capabilities in order to achieve competitive advantage.

  20. Understanding the Interplay Between Consumer Knowledge, Trust and Relationship Satisfaction in Financial Services

    DEFF Research Database (Denmark)

    Hansen, Torben; Grønholdt, Lars; Josiassen, Alexander

    to exaggerate their ability to make right choices, are more likely to opt out of necessary information search, spend less time to carry out a specific task than less knowledge confident consumers, and are more likely to show high financial trading volumes. Through the use of financial services as a case study......, this study contributes to previous research by examining how consumer knowledge O/U affects two types of trust (broad-scope trust and narrow-scope trust) and consumer relationship satisfaction. Trust does not only concern consumer trust in individual companies (i.e., narrow.-scope confidence NST), but also...... that companies within a particular business type can generally be relied on to deliver on their promises.’ This study expands our understanding of the interplay between consumer knowledge bias, consumer trust, and relationship marketing in two main ways: First, it is demonstrated that the more knowledge O...

  1. Knowledge-based dialogue in Intelligent Decision Support Systems

    International Nuclear Information System (INIS)

    Hollnagel, E.

    1987-01-01

    The overall goal for the design of Intelligent Decision Support Systems (IDSS) is to enhance understanding of the process under all operating conditions. For an IDSS to be effective, it must: select or generate the right information; produce reliable and consistent information; allow flexible and effective operator interaction; relate information presentation to current plant status and problems; and make the presentation at the right time. Several ongoing R and D programs try to design and build IDSSs. A particular example is the ESPRIT project Graphics and Knowledge Based Diaglogue for Dynamic Systems (GRADIENT). This project, the problems it addresses, and its uses, are discussed here

  2. Knowledge Understanding and Utilization of Medicinal Plants by Local Community Tompu District of Kaili, Sigi Biromaru, Central Sulawesi

    Directory of Open Access Journals (Sweden)

    Slamet Ifandi

    2016-03-01

    Full Text Available Kaili is one of the ethnic region in Central Sulawesi which saves a lot of cultural values and traditions. As a traditional community, their life is very dependent upon natural resources contained in the environment. They still have knowledge, traditional culture, treatment and utilization system against various types of plants. The purpose of the study was to examine the knowledge understanding and utilization of medicinal plants by local community Tompu District of Kaili. Data knowledge and utilization were collected through interview, literature study, exploratory survey methods, PEA (participatory ethnobotanical appraisal, questionnaire and from interviews with the informants. The results from interviews showed that of public knowledge is still based on the traditional concept. Based on the results identifications obtained by (90 species. As many as six species medicinal plants to often used the Tompu community are Euphorbia hirta L. Phyllanthus niruri L. Ageratum L. Blumea conyzoides balsaminifera L. (DC. Kleinhovia hospita L and Tabernaemontana pandacaqui. The benefits of this research to the development of science is expected to be complete scientific data regarding the utilization of medicinal plants natural resources on Tribal society Kaili in Tompu.How to CiteIfandi, S., Jumari, J., & Suedy, S. W. A. (2016. Knowledge Understanding and Utilization of Medicinal Plants by Local Community Tompu District of Kaili, Sigi Biromaru, Central Sulawesi. Biosaintifika: Journal of Biology & Biology Education, 8(1, 1-11.

  3. Understanding Complex Construction Systems Through Modularity

    DEFF Research Database (Denmark)

    Jensen, Tor Clarke; Bekdik, Baris; Thuesen, Christian

    2014-01-01

    finds that the main driver of complexity is the fragmentation of the design and production, which causes the production modules to construct and install new product types and variants for each project as the designers are swapped for every project. The many interfaces are characteristics of an integral......This paper develops a framework for understanding complexity in construction projects by combining theories of complexity management and modularization. The framework incorporates three dimensions of product, process, and organizational modularity with the case of gypsum wall elements. The analysis...... system, rather than a modular, although the industry forces modular organizational structures. This creates a high complexity degree caused by the non-alignment of building parts and organizations and the frequent swapping of modules....

  4. Applications of Ontologies in Knowledge Management Systems

    Science.gov (United States)

    Rehman, Zobia; Kifor, Claudiu V.

    2014-12-01

    Enterprises are realizing that their core asset in 21st century is knowledge. In an organization knowledge resides in databases, knowledge bases, filing cabinets and peoples' head. Organizational knowledge is distributed in nature and its poor management causes repetition of activities across the enterprise. To get true benefits from this asset, it is important for an organization to "know what they know". That's why many organizations are investing a lot in managing their knowledge. Artificial intelligence techniques have a huge contribution in organizational knowledge management. In this article we are reviewing the applications of ontologies in knowledge management realm

  5. Research on Collaborative Knowledge Innovation Based on System Dynamics

    OpenAIRE

    Wang Xiuhong

    2012-01-01

    Constructing the rational knowledge network is an effective means of cooperative innovation organization. But collaborative innovation organization system is relatively complicated, and knowledge itself is latent and unexpected, knowledge network is not comprehensive and accurate. This paper analyzes deeply knowledge network of organization cooperative innovation, and builds a system dynamics model about knowledge network of collaborative innovation by using the system dynamics model and func...

  6. Nuclear knowledge management system in the regulatory activity

    International Nuclear Information System (INIS)

    Nosovskij, A.V.; Klevtsov, A.L.; Kravchenko, N.A.

    2010-01-01

    Important issues on collection, storage and spread of knowledge among organisation dealing with the use of nuclear technologies, role of close cooperation between enterprises and organizations in developing knowledge management, general requirements for creating a nuclear knowledge management system are considered. Recommendations and the main mechanisms are identified to create the knowledge management system in technical support organizations of the regulatory authority.

  7. Computerized examination system on radioprotection knowledge

    International Nuclear Information System (INIS)

    Stanescu, Gabriel; Rosca Fartat, Gabriela; Ghilea, Simion

    2008-01-01

    The aim of this paper is to present the recognition system of the education and training in the field of radioprotection based on the examination system and the software solutions adopted by the regulatory authority in Romania. The Romanian Radiation Protection system is in place since 1950, when the first nuclear research reactor was built and activities involving radioactive sources started to be developed, and several developing phases were passed through. Linked to the Romanian Radiation Protection system an Education, Training and Recognition system was developed. The recognition of the competencies achieved by the personnel in the framework of the education and training system consists in obtaining a work permit. It is mandatory at least for the radiological safety officers to posses a work permit granted by the Romanian Regulatory Body (CNCAN) based on an examination of the radioprotection knowledge. The examination consists in solving a questionnaire on radioprotection and legislation issues. Each participant receives a questionnaire with 60 questions and has to solve it in a time limit of one hour. In 2007 the examination system has been improved by authors who designed a software and a database which contains all the questions and answers with related explanations. For each examination session the software generates randomly for each participant the examination questionnaire. More than 2000 questions and answers from the database are published on the web site of CNCAN for different fields of ionizing radiation applications. Moreover the generated questions and participant's answers are registered in order to perform the further analysis and review. The result is an objective and transparent examination system which encourages the continuous training and retraining. (author)

  8. Belief, Knowledge and Understanding. How to Deal with the Relations Between Different Cultural Perspectives in Classrooms

    Science.gov (United States)

    Moreira-dos-Santos, Frederik; El-Hani, Charbel N.

    2017-05-01

    This article discusses how to deal with the relations between different cultural perspectives in classrooms, based on a proposal for considering understanding and knowledge as goals of science education, inspired by Dewey's naturalistic humanism. It thus combines educational and philosophical interests. In educational terms, our concerns relate to how science teachers position themselves in multicultural classrooms. In philosophical terms, we are interested in discussing the relations between belief, understanding, and knowledge under the light of Dewey's philosophy. We present a synthesis of Dewey's theory of inquiry through his naturalistic humanism and discuss its implications for the concepts of belief, understanding, and knowledge, as well as for the goals of science teaching. In particular, we highlight problems arising in the context of possible conflicts between scientific and religious claims in the school environment that result from totalitarian positions. We characterize an individual's position as totalitarian if he or she takes some way of thinking as the only one capable of expressing the truth about all that exists in the world, lacks open-mindedness to understand different interpretative perspectives, and attempts to impose her or his interpretation about the facts to others by violent means or not. From this stance, any other perspective is taken to be false a priori and, accordingly, as a putative target to be suppressed or adapted to the privileged way of thinking. We argue, instead, for a more fallibilist evaluation of our own beliefs and a more respectful appraisal of the diversity of students' beliefs by both students and teachers.

  9. Understanding and Supporting Software Architectural Decisions : for Reducing Architectural Knowledge Vaporization

    NARCIS (Netherlands)

    Tofan, Dan

    2015-01-01

    The architecture of a software system is the result of architectural decisions on various topics, such as frameworks, patterns, programming languages, or ways to decompose the software system. Such decisions and their rationales are a significant part of the architectural knowledge about a software

  10. Current understanding of interactions between nanoparticles and the immune system.

    Science.gov (United States)

    Dobrovolskaia, Marina A; Shurin, Michael; Shvedova, Anna A

    2016-05-15

    The delivery of drugs, antigens, and imaging agents benefits from using nanotechnology-based carriers. The successful translation of nanoformulations to the clinic involves thorough assessment of their safety profiles, which, among other end-points, includes evaluation of immunotoxicity. The past decade of research focusing on nanoparticle interaction with the immune system has been fruitful in terms of understanding the basics of nanoparticle immunocompatibility, developing a bioanalytical infrastructure to screen for nanoparticle-mediated immune reactions, beginning to uncover the mechanisms of nanoparticle immunotoxicity, and utilizing current knowledge about the structure-activity relationship between nanoparticles' physicochemical properties and their effects on the immune system to guide safe drug delivery. In the present review, we focus on the most prominent pieces of the nanoparticle-immune system puzzle and discuss the achievements, disappointments, and lessons learned over the past 15years of research on the immunotoxicity of engineered nanomaterials. Copyright © 2016 Elsevier Inc. All rights reserved.

  11. Radionuclides in groundwater flow system understanding

    Science.gov (United States)

    Erőss, Anita; Csondor, Katalin; Horváth, Ákos; Mádl-Szőnyi, Judit; Surbeck, Heinz

    2017-04-01

    Using radionuclides is a novel approach to characterize fluids of groundwater flow systems and understand their mixing. Particularly, in regional discharge areas, where different order flow systems convey waters with different temperature, composition and redox-state to the discharge zone. Radium and uranium are redox-sensitive parameters, which causes fractionation along groundwater flow paths. Discharging waters of regional flow systems are characterized by elevated total dissolved solid content (TDS), temperature and by reducing conditions, and therefore with negligible uranium content, whereas local flow systems have lower TDS and temperature and represent oxidizing environments, and therefore their radium content is low. Due to the short transit time, radon may appear in local systems' discharge, where its source is the soil zone. However, our studies revealed the importance of FeOOH precipitates as local radon sources throughout the adsorption of radium transported by the thermal waters of regional flow systems. These precipitates can form either by direct oxidizing of thermal waters at discharge, or by mixing of waters with different redox state. Therefore elevated radon content often occurs in regional discharge areas as well. This study compares the results of geochemical studies in three thermal karst areas in Hungary, focusing on radionuclides as natural tracers. In the Buda Thermal Karst, the waters of the distinct discharge areas are characterized by different temperature and chemical composition. In the central discharge area both lukewarm (20-35°C, 770-980 mg/l TDS) and thermal waters (40-65°C, 800-1350 mg/l TDS), in the South only thermal water discharge (33-43°C, 1450-1700 mg/l TDS) occur. Radionuclides helped to identify mixing of fluids and to infer the temperature and chemical composition of the end members for the central discharge area. For the southern discharge zone mixing components could not be identified, which suggests different cave

  12. IGENPRO knowledge-based operator support system

    International Nuclear Information System (INIS)

    Morman, J. A.

    1998-01-01

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

  13. A Kaleidoscope of Understanding: Pre-service Elementary Teachers' Knowledge of Climate Change Concepts and Impacts

    Science.gov (United States)

    Hayhoe, D.; Bullock, S.; Hayhoe, K.

    2010-12-01

    Teachers are at the forefront of efforts to increase climate literacy; however, even teachers’ understanding can contain significant misconceptions. Probes aimed at capturing these misconceptions have been used with pre-service teachers in several countries. Here, we report on a unique 59-item questionnaire useful as a pre-post diagnostic for teacher training. Topics include Earth’s climate system, long-range climatic changes, recent changes, various gases and types of radiation involved in the greenhouse effect, future impacts of climate change, and mitigation options This questionnaire is unique in three ways: 1. the topics include climate change concepts not usually probed, 2. the questions have a binary-choice format that avoided both the “positive statement bias” of agree-disagree questions and the superfluous distractors of multiple-choice tests, and 3. the questionnaire was piloted with pre-service elementary teachers in Toronto, one of the most multicultural cities in the world. The questionnaire items were written for the Ontario curriculum (K-10); however, they also address almost all of the principles identified in Climate Literacy: The Essential Principles of Climate Science. The questionnaire was completed by 89 volunteers from a pool of 280. Most had a substantial knowledge of climate change concepts, with 34 of the 59 questions being answered correctly by more than 60% of the subjects. The item discrimination of most questions was relatively low, however, and only a very few item pairs showed a significant correlation. This suggests that subjects’ knowledge consisted of a “kaleidoscope of understanding,” rather than a coherent picture. Significant misconceptions were also identified, with 18 of the 59 items being answered incorrectly by more than 60% of the subjects. Of these, 11 correspond to misconceptions previously noted, while 7 suggest new misconceptions not yet identified in studies done with students or teachers, such as the

  14. Informationalising matter : systems understandings of the nanoscale.

    OpenAIRE

    Kearnes, M. B.

    2008-01-01

    Themes of mastery, domination and power are familiar to any scholar of modern technology. Science is commonly cast as enabling the technological control over both the natural and physical worlds. Indeed, Francis Bacon famously equated scientific knowledge with power itself—stating that ‘knowledge itself is a power’ (Bacon in Montagu 1825, 71). Bacon’s now ubiquitous phrase—commonly repeated as the banal ‘knowledge is power’—was an attempt to combat three heresies in scriptural interpretation ...

  15. 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

  16. Knowledge and intelligent computing system in medicine.

    Science.gov (United States)

    Pandey, Babita; Mishra, R B

    2009-03-01

    Knowledge-based systems (KBS) and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoning (MBR) whereas intelligent computing method (ICM) encompasses genetic algorithm (GA), artificial neural network (ANN), fuzzy logic (FL) and others. The combination of methods in KBS such as CBR-RBR, CBR-MBR and RBR-CBR-MBR and the combination of methods in ICM is ANN-GA, fuzzy-ANN, fuzzy-GA and fuzzy-ANN-GA. The combination of methods from KBS to ICM is RBR-ANN, CBR-ANN, RBR-CBR-ANN, fuzzy-RBR, fuzzy-CBR and fuzzy-CBR-ANN. In this paper, we have made a study of different singular and combined methods (185 in number) applicable to medical domain from mid 1970s to 2008. The study is presented in tabular form, showing the methods and its salient features, processes and application areas in medical domain (diagnosis, treatment and planning). It is observed that most of the methods are used in medical diagnosis very few are used for planning and moderate number in treatment. The study and its presentation in this context would be helpful for novice researchers in the area of medical expert system.

  17. Understanding the Influence of knowledge-sharing in Project Portfolio Management in professional services

    DEFF Research Database (Denmark)

    Møller, Mads Lyngsø; Horsager, Betina; Tambo, Torben

    2016-01-01

    A significant challenge in project portfolio management (PPM) is the need for continuously collecting knowledge about pending and ongoing projects to perform project selection and resource allocation. This paper outlines an explorative case study of a small project-based organization, where...... emphasis is put upon the knowledge management processes of individual projects to aggregate to the joint PPM perspective navigable by senior management. Since PPM relies closely on knowledge-sharing, the effectiveness of the organizations knowledge-sharing capabilities is assessed in the perspective...... of their ability to reach the generic portfolio objectives outlined by the literature as: strategic alignment, adaptability to changes, project visibility, portfolio transparency and clarity of deadlines. We found that these objectives can be accomplished by implementing a “pragmatic” information system...

  18. Features of Knowledge Building in Biology: Understanding Undergraduate Students’ Ideas about Molecular Mechanisms

    Science.gov (United States)

    Southard, Katelyn; Wince, Tyler; Meddleton, Shanice; Bolger, Molly S.

    2016-01-01

    Research has suggested that teaching and learning in molecular and cellular biology (MCB) is difficult. We used a new lens to understand undergraduate reasoning about molecular mechanisms: the knowledge-integration approach to conceptual change. Knowledge integration is the dynamic process by which learners acquire new ideas, develop connections between ideas, and reorganize and restructure prior knowledge. Semistructured, clinical think-aloud interviews were conducted with introductory and upper-division MCB students. Interviews included a written conceptual assessment, a concept-mapping activity, and an opportunity to explain the biomechanisms of DNA replication, transcription, and translation. Student reasoning patterns were explored through mixed-method analyses. Results suggested that students must sort mechanistic entities into appropriate mental categories that reflect the nature of MCB mechanisms and that conflation between these categories is common. We also showed how connections between molecular mechanisms and their biological roles are part of building an integrated knowledge network as students develop expertise. We observed differences in the nature of connections between ideas related to different forms of reasoning. Finally, we provide a tentative model for MCB knowledge integration and suggest its implications for undergraduate learning. PMID:26931398

  19. Building Capacity for Evidence-Based Practice: Understanding How Licensed Practical Nurses (LPNs) Source Knowledge.

    Science.gov (United States)

    Phillips, Leah; Neumeier, Melanie

    2018-03-23

    In Canada, all nurses are required to engage in evidence-based practice (EBP) as an entry-to-practice competency; however, there is little research that examines Licensed Practical Nurses' (LPNs') information seeking behaviors or preferred sources of knowledge to conduct EBP. Due to the differences in education and roles of LPNs and Registered Nurses (RNs), it is both necessary and important to gain an understanding of how LPNs utilize evidence in their unique nursing practice. The purpose of this study was to investigate how LPNs source knowledge for their nursing practice. A descriptive, cross-sectional survey of LPNs from Alberta, Canada asked participants to rank sources of knowledge that inform their practice. Responses were correlated with age and years of practice. Analysis of variance was used to determine if there were significant mean differences between average scores and place of employment. LPN participants used similar sources of knowledge as RNs. The top source of knowledge for both RNs and LPNs was the information they learn about each individual client and the least utilized sources of knowledge were articles published in nursing, medical, and research journals, tradition, and popular media. This finding is consistent with previous studies on RNs that found nurses do not often access current research evidence to inform their practice. Since relatively few LPNs access nursing and research journals, it is important to tailor EBP education information to the workplace context. Future avenues of research might explore the potential of using in-services and webinars to disseminate information and skills training on EBP to the LPNs, as this was a popular source of practice knowledge. © 2018 The Authors. Worldviews on Evidence-Based Nursing published by Wiley Periodicals, Inc. on behalf of Sigma Theta Tau International The Honor Society of Nursing.

  20. Collaborative ethnography for information systems research Studying knowledge work practices and designing supportive information systems

    Directory of Open Access Journals (Sweden)

    Ronald Maier

    2012-04-01

    Full Text Available Understanding knowledge work and supporting it with information systems (ISs are challenging tasks. Knowledge work has changed substantially recently and studies on how knowledge work is currently performed are scarce. Ethnography is the most suitable qualitative research method for studying knowledge work, yet too time-consuming, costly and unfocused for the fast changing IS domain. Moreover, results from qualitative studies need to be transformed into artefacts useful for IS requirements engineering and design. This paper proposes a procedure for collaborative ethnography to study knowledge work practices and inform IS requirements gathering and design illustrated with the case of a collaborative ethnographic study of seven organisations in four European countries performed in a large-scale international IS research and development project. The paper also critically discusses the procedure’s applicability and limitations.

  1. Engaging Systems Understanding through Games (Invited)

    Science.gov (United States)

    Pfirman, S. L.; Lee, J. J.; Eklund, K.; Turrin, M.; O'Garra, T.; Orlove, B. S.

    2013-12-01

    The Polar Learning And Responding (PoLAR) Climate Change Education Partnership (CCEP), supported by the National Science Foundation's CCEP Phase II program, uses novel educational approaches to engage adult learners and to inform public understanding about climate change. Both previous studies and our experience show that games and game-like activities lead people to explore systems and motivate problem-solving. This presentation focuses on three games developed by the PoLAR team: a multiplayer card game, a strategy board game, and a serious game, and discusses them within the larger framework of research and evaluation of learning outcomes. In the multiplayer card game EcoChains: Arctic Crisis, players learn how to build marine food chains, then strategize ways to make them resilient to a variety of natural and anthropogenic events. In the strategy board game Arctic SMARTIC (Strategic MAnagement of Resources in TImes of Change), participants take on roles, set developmental priorities, and then negotiate to resolve conflicts and deal with climate change scenarios. In the serious game FUTURE COAST, players explore "what if" scenarios in a collaborative narrative environment. Grounded on the award-winning WORLD WITHOUT OIL, which employed a similar story frame to impart energy concepts and realities, FUTURE COAST uses voicemails from the future to impel players through complexities of disrupted systems and realities of human interactions when facing change. Launching February 2014, FUTURE COAST is played online and in field events; players create media designed to be spreadable through their social networks. As players envision possible futures, they create diverse communities of practice that synthesize across human-environment interactions. Playtests highlight how the game evokes systems thinking, and engages and problem-solves via narrative: * 'While I was initially unsure how I'd contribute to a group I'd never met, the project itself proved so engaging that I

  2. 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.

  3. Activity Theory as a Lens to Understand How Facebook Develops Knowledge Application Skills

    Science.gov (United States)

    Bagarukayo, Emily; Ssentamu, Proscovia; Mayisela, Tabisa; Brown, Cheryl

    2016-01-01

    Uganda's higher education system has generally been criticized for concentrating on theory leading to a mismatch between training received and practical skills required by employers. Studies have documented the inability of graduates from some programmes at Makerere University in applying knowledge in the work environment. This could partly be…

  4. Integrated Knowledge Based Expert System for Disease Diagnosis System

    Science.gov (United States)

    Arbaiy, Nureize; Sulaiman, Shafiza Eliza; Hassan, Norlida; Afizah Afip, Zehan

    2017-08-01

    The role and importance of healthcare systems to improve quality of life and social welfare in a society have been well recognized. Attention should be given to raise awareness and implementing appropriate measures to improve health care. Therefore, a computer based system is developed to serve as an alternative for people to self-diagnose their health status based on given symptoms. This strategy should be emphasized so that people can utilize the information correctly as a reference to enjoy healthier life. Hence, a Web-based Community Center for Healthcare Diagnosis system is developed based on expert system technique. Expert system reasoning technique is employed in the system to enable information about treatment and prevention of the diseases based on given symptoms. At present, three diseases are included which are arthritis, thalassemia and pneumococcal. Sets of rule and fact are managed in the knowledge based system. Web based technology is used as a platform to disseminate the information to users in order for them to optimize the information appropriately. This system will benefit people who wish to increase health awareness and seek expert knowledge on the diseases by performing self-diagnosis for early disease detection.

  5. Analysis of the effect of specific vocabulary instruction on high school chemistry students' knowledge and understanding

    Science.gov (United States)

    Labrosse, Peggy

    The purpose of this study was to analyze the effects of specific vocabulary instruction on high school chemistry students' knowledge and understanding. Students might be able to formally recite a definition for a term without actually having understood the meaning of the term and its connection to other terms or to related concepts. Researchers (Cassels & Johnstone, 1983; Gabel, 1999; Johnstone, 1991) have been studying the difficulty students have in learning science, particularly chemistry. Gabel (1999) suggests that, "while research into misconceptions (also known as alternative conceptions) and problem-solving has dominated the field for the past 25 years, we are no closer to a solution that would improve the teaching and learning of chemistry" (P. 549). Gabel (1999) relates the difficulty in learning chemistry to use of language. She refers to student difficulty both with words that have more than one meaning in English and with words that are used to mean one idea in chemistry and another idea in every day language. The Frayer Model, a research-based teaching strategy, is a graphic organizer which students use to create meaningful definitions for terms in context (Frayer, Frederick, & Klausmeier, 1969). It was used as the treatment---the specific vocabulary instruction---in this research study. The researcher collected and analyzed data to answer three research questions that focused on the effect of using the Frayer model (a graphic organizer) on high school students' knowledge and understanding of academic language used in chemistry. The research took place in a New England high school. Four intact chemistry classes provided the student participants; two classes were assigned to the treatment group (TG) and two classes were assigned to the control group (CG). The TG received vocabulary instruction on 14 chosen terms using the Frayer Model. The CG received traditional vocabulary instruction with no special attention to the 14 terms selected for this study

  6. Understanding cities as social-ecological systems

    CSIR Research Space (South Africa)

    Du Plessis, C

    2008-09-01

    Full Text Available This paper builds on earlier ecological approaches to urban development, as well as more recent thinking in the fields of sustainability science, resilience thinking and complexity theory, to propose a conceptual framework for understanding cities...

  7. Seeking our shared wisdom: a framework for understanding knowledge coproduction and coproductive capacities

    Directory of Open Access Journals (Sweden)

    H. Z. Schuttenberg

    2015-03-01

    Full Text Available The widespread disconnect between scientific projections of climate change and the implementation of responsive management actions has escalated calls for knowledge production processes able to exercise a stronger voice in decision making. Recently, the concept of coproduction has been championed as a potential answer. The term 'knowledge coproduction' is used loosely in the literature to describe an inclusive, iterative approach to creating new information; it is distinguished by its focus on facilitating interactions between stakeholders to develop an integrated or transformational understanding of a sustainability problem. Whether a coproduction process is successful in this integration of science and policy depends on a range of capabilities that should be understood as 'coproductive capacities.' We draw on the literature from sustainability science to propose a conceptual framework that specifies the sequential goals of knowledge coproduction and potential sources of coproductive capacity. We apply this framework to examine our experience facilitating the coproduction of a climate change action plan for Papahānaumokuākea Marine National Monument and World Heritage Site. This framework offers a structure for systematically investigating the capacities, mechanisms, and dynamics of knowledge coproduction and for guiding the design of coproduction processes.

  8. Human Knowledge Resources and Interorganizational Systems

    NARCIS (Netherlands)

    M.K.M. Ibrahim (Mohammed); P.M.A. Ribbers (Piet); B.W.M. Bettonvil

    2007-01-01

    textabstractThis paper analyses how human knowledge resources affect capabilities and subsequently attainment of operational and strategic benefits. We test a conceptual model using data from two qualitative case studies and a quantitative field study. The findings indicate that human knowledge

  9. Emancipatory Indigenous Knowledge Systems: implications for ...

    African Journals Online (AJOL)

    ... South African Environmental Education Policy Initiative (EEPI), and the NGO Form Principles, is seen as a key process that could enhance Indigenous Knowledge in formal education. The article further argues that the production of Indigenous Knowledge is contextually grounded through social constructivist approaches.

  10. Applying Knowledge Management in Teacher Evaluation Systems

    Science.gov (United States)

    Essandoh, Albert

    2013-01-01

    Teacher evaluations are underused in public schools, resulting in the loss of knowledge critical to professional development. Knowledge management (KM) theory offers approaches that can lead to improvements in the effectiveness of evaluations and teacher performance. This multiple case study of 9 campuses in an exemplary school district…

  11. Indigenous Knowledge Management Transfer Systems Across ...

    African Journals Online (AJOL)

    Indigenous knowledge transfer is becoming an increasingly important issue in the development fraternity as development practitioners seek answers to develop indigenous communities. This article reports on the findings of a study that was aimed at establishing how indigenous knowledge can be preserved and transferred ...

  12. Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding.

    Science.gov (United States)

    Olsher, Daniel

    2014-10-01

    Noise-resistant and nuanced, COGBASE makes 10 million pieces of commonsense data and a host of novel reasoning algorithms available via a family of semantically-driven prior probability distributions. Machine learning, Big Data, natural language understanding/processing, and social AI can draw on COGBASE to determine lexical semantics, infer goals and interests, simulate emotion and affect, calculate document gists and topic models, and link commonsense knowledge to domain models and social, spatial, cultural, and psychological data. COGBASE is especially ideal for social Big Data, which tends to involve highly implicit contexts, cognitive artifacts, difficult-to-parse texts, and deep domain knowledge dependencies. Copyright © 2014 Elsevier Ltd. All rights reserved.

  13. Deepening Understanding of Prior Knowledge: What Diverse First-Generation College Students in the U.S. Can Teach Us

    Science.gov (United States)

    Castillo-Montoya, Milagros

    2017-01-01

    Educational research indicates that teachers revealing and utilizing students' prior knowledge supports students' academic learning. Yet, the variation in students' prior knowledge is not fully known. To better understand students' prior knowledge, I drew on sociocultural learning theories to examine racially and ethnically diverse college…

  14. Knowledge and Understanding of Hypertension Among Tibetan People in Lhasa, Tibet.

    Science.gov (United States)

    Yao, Dao-Kuo; Su, Wen; Zheng, Xi; Wang, Le-Xin

    2016-06-01

    The aim of this study was to investigate the knowledge and understanding about hypertension among residents in Lhasa, Tibet. A total of 1, 370 native Tibetan people aged ≥18 years old were enrolled in this survey. Individuals were selected using stratified proportional sampling and Lhasa was divided into Urban, Suburban, Agricultural and Pastoral areas. Data pertaining to blood pressure, socio-demographic details, knowledge and perceptions about hypertension were obtained. The prevalence of hypertension was highest among Urban participants (56.1%) and lowest among Pastoral participants (34.2%). The awareness of hypertension (43.1%) was lowest among Agricultural participants. Less than one third of the respondents knew the normal range of blood pressure. A considerable proportion (49.2%) had no idea of risk factors and consequences of hypertension. With regard to prevention and control, about 30% of the respondents did not know the lifestyle changes for hypertension prevention. Regarding treatment, 30% of participants did not provide an answer. Most of the respondents acquired knowledge of hypertension from healthcare providers. Participants from the Agricultural areas had the lowest knowledge of hypertension. Approximately 75.5% of hypertensive patients ceased antihypertensive medications on their own after improvement of blood pressure. The understanding of hypertension was poor among the native Tibetan people in Lhasa. There is a need to improve education and primary health care services to this large hypertensive population. Copyright © 2015 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.

  15. Understanding How Students Perceive the Role of Ideas for Their Knowledge Work in a Knowledge-Building Environment

    Science.gov (United States)

    Hong, Huang-Yao; Chiu, Chieh-Hsin

    2016-01-01

    This study explored how students viewed the role of ideas for knowledge work and how such a view was related to their inquiry activities. Data mainly came from students' online interaction logs, group discussion and inquiry, and a survey concerning the role of ideas for knowledge work. The findings suggest that knowledge building was conducive to…

  16. Several required OWL features for indigenous knowledge management systems

    CSIR Research Space (South Africa)

    Alberts, R

    2012-05-01

    Full Text Available This paper describes the features required of OWL (Web Ontology Language) to realise and enhance Indigenous Knowledge (IK) digital repositories. Several needs for Indigenous Knowledge management systems (IKMSs) are articulated, based on extensive...

  17. Systemic study of knowledge generation at IPEN

    International Nuclear Information System (INIS)

    Monteiro, Carlos Anisio

    2016-01-01

    With the aim of providing subsidies to understand how scientific collaboration process occurs and develops into a research institution, particularly IPEN, this study used two methodological approaches. The first used the social networking analysis (SNA) technique to map the scientific collaboration networks in R&D of IPEN. The data used for the SNA technique were extracted from the technical and scientific publications database of IPEN, using a computer program, and were based on co-authorship from 2001 to 2010 period. These data were grouped into consecutive intervals of two years generating five biennial networks. This first approach showed several structural features related to collaborative networks, especially the most prominent authors, distribution of components, density, boundary spanners and aspects related to distance and clustering to define small world networks. In the second approach, partial least squares, a method to structure equation modeling, was used to evaluate and test a conceptual model based on personal, social, cultural and circumstantial factors to identify those that best explain the propensity of an IPENs author in establishing links of collaboration in R&D environments. From the consolidated model, we evaluated how much it explains the structural position of an author on the network based on SNA indicators. In this second part, the data were collected through a survey research using a questionnaire. The results showed that the model explains about 41% of the propensity of an IPEN author in collaborating with others authors, and in relation to the structural position of an author on the network, the explanation power of model ranged between 3% and 3.6%. Other results have shown that collaboration between IPEN authors have a positive correlation with moderate intensity to productivity, in the same way, the most central authors in the network tend to increase its visibility. Finally, several other bibliometric statistical indicators related

  18. The Role of Domain and System Knowledge on Text Comprehension and Information Search in Hypermedia

    Science.gov (United States)

    Waniek, Jacqueline; Schafer, Thomas

    2009-01-01

    The goal of this study was to examine the role of domain and system knowledge on learner performance in reading and information search in hypermedia. Previous studies have shown that prior knowledge is an important individual factor for effective hypermedia use. However, current research lacks a full understanding of how these two aspects of prior…

  19. Anthropophagy: a singular concept to understand Brazilian culture and psychology as specific knowledge.

    Science.gov (United States)

    Ferreira, Arthur Arruda Leal

    2015-11-01

    The aim of this work is to present the singularity of the concept of anthropophagy in Brazilian culture. This article examines its use in the Modernist Movement of the 1920s and explores the possibilities it creates for thinking about Brazilian culture in nonidentitarian terms. We then use the concept of anthropophagy in a broader, practical sense to understand psychology as a kind of anthropophagical knowledge. We do so because in many ways the discipline of psychology is similar to Brazilian culture in its plurality and complexity. (c) 2015 APA, all rights reserved).

  20. Knowledge Construction in Wikipedia: A Systemic-Constructivist Analysis

    Science.gov (United States)

    Oeberst, Aileen; Halatchliyski, Iassen; Kimmerle, Joachim; Cress, Ulrike

    2014-01-01

    We propose a systemic-constructivist perspective for analyzing knowledge construction. In contrast to theories that focus on individuals as actors, the systemic-constructivist approach emphasizes the relevance of social systems and regards the construction of knowledge as a self-referential process that takes place in social systems. We propose…

  1. Features of Knowledge Building in Biology: Understanding Undergraduate Students' Ideas about Molecular Mechanisms.

    Science.gov (United States)

    Southard, Katelyn; Wince, Tyler; Meddleton, Shanice; Bolger, Molly S

    2016-01-01

    Research has suggested that teaching and learning in molecular and cellular biology (MCB) is difficult. We used a new lens to understand undergraduate reasoning about molecular mechanisms: the knowledge-integration approach to conceptual change. Knowledge integration is the dynamic process by which learners acquire new ideas, develop connections between ideas, and reorganize and restructure prior knowledge. Semistructured, clinical think-aloud interviews were conducted with introductory and upper-division MCB students. Interviews included a written conceptual assessment, a concept-mapping activity, and an opportunity to explain the biomechanisms of DNA replication, transcription, and translation. Student reasoning patterns were explored through mixed-method analyses. Results suggested that students must sort mechanistic entities into appropriate mental categories that reflect the nature of MCB mechanisms and that conflation between these categories is common. We also showed how connections between molecular mechanisms and their biological roles are part of building an integrated knowledge network as students develop expertise. We observed differences in the nature of connections between ideas related to different forms of reasoning. Finally, we provide a tentative model for MCB knowledge integration and suggest its implications for undergraduate learning. © 2016 K. Southard et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  2. Community-based participatory research: understanding a promising approach to addressing knowledge gaps in palliative care.

    Science.gov (United States)

    Riffin, Catherine; Kenien, Cara; Ghesquiere, Angela; Dorime, Ashley; Villanueva, Carolina; Gardner, Daniel; Callahan, Jean; Capezuti, Elizabeth; Reid, M Carrington

    2016-07-01

    Concern over the need for effective and accessible healthcare for individuals with advanced chronic illness has drawn attention to the significant gaps in our knowledge of palliative medicine. To advance our understanding of this field, community-based participatory research (CBPR) is proposed as a tool for future research initiatives. This paper offers a rationale for how CBPR may be employed to address specific gaps in palliative care research. Several examples where this approach has been used previously are described, and potential obstacles to implementing this research method are delineated. Despite challenges to incorporating CBPR to palliative care research, this approach holds substantial potential to advance our current understanding of the field and promote sensitivity for future programs, practices and policies.

  3. Understanding COBOL systems using inferred types

    NARCIS (Netherlands)

    A. van Deursen (Arie); L.M.F. Moonen (Leon)

    1999-01-01

    textabstractIn a typical COBOL program, the data division consists of 50 of the lines of code. Automatic type inference can help to understand the large collections of variable declarations contained therein, showing how variables are related based on their actual usage. The most problematic aspect

  4. Understanding aging in containment cooling systems

    International Nuclear Information System (INIS)

    Lofaro, R.J.

    1993-01-01

    A study has been performed to assess the effects of aging in nuclear power plant containment cooling systems. Failure records from national databases, as well as plant specific data were reviewed and analyzed to identify aging characteristics for this system. The predominant aging mechanisms were determined, along with the most frequently failed components and their associated failure modes. This paper discusses the aging mechanisms present in the containment spray system and the containment fan cooler system, which are two systems used to provide the containment cooling function. The failure modes, along with the relative frequency of each is also discussed

  5. Knowledge-Based Functional-Symbol Understanding In Electronic Circuit Diagram Interpretation

    Science.gov (United States)

    Huang, C. L.; Tou, J. T.

    1986-03-01

    The AUTORED system is a computer-based system for automatic reading of electronic circuit diagrams, which was developed several years ago. This paper presents some of our new results in AUTORED research. The design of AUTORED consists of two major components: automatic interpretation of electronic diagrams, and organization of interpretation results into a knowledge base for CAD applications. An electronic circuit diagram may be segmented into three parts which are the graphical functional symbols, the connection line segments, and the denotations. New techniques for extracting symbols and denotations from the circuit diagram are presented in this paper. These techniques are designed for junction and corner extraction, line segment tracing and linking, line segment classification, connection-line segment removal and blocking, symbol locating and denotation character grouping. A knowledge base is developed to facilitate the tracing, template-matching, and categorization processes.

  6. Crucial knowledge gaps in current understanding of climate change impacts on coral reef fishes.

    Science.gov (United States)

    Wilson, S K; Adjeroud, M; Bellwood, D R; Berumen, M L; Booth, D; Bozec, Y-Marie; Chabanet, P; Cheal, A; Cinner, J; Depczynski, M; Feary, D A; Gagliano, M; Graham, N A J; Halford, A R; Halpern, B S; Harborne, A R; Hoey, A S; Holbrook, S J; Jones, G P; Kulbiki, M; Letourneur, Y; De Loma, T L; McClanahan, T; McCormick, M I; Meekan, M G; Mumby, P J; Munday, P L; Ohman, M C; Pratchett, M S; Riegl, B; Sano, M; Schmitt, R J; Syms, C

    2010-03-15

    Expert opinion was canvassed to identify crucial knowledge gaps in current understanding of climate change impacts on coral reef fishes. Scientists that had published three or more papers on the effects of climate and environmental factors on reef fishes were invited to submit five questions that, if addressed, would improve our understanding of climate change effects on coral reef fishes. Thirty-three scientists provided 155 questions, and 32 scientists scored these questions in terms of: (i) identifying a knowledge gap, (ii) achievability, (iii) applicability to a broad spectrum of species and reef habitats, and (iv) priority. Forty-two per cent of the questions related to habitat associations and community dynamics of fish, reflecting the established effects and immediate concern relating to climate-induced coral loss and habitat degradation. However, there were also questions on fish demographics, physiology, behaviour and management, all of which could be potentially affected by climate change. Irrespective of their individual expertise and background, scientists scored questions from different topics similarly, suggesting limited bias and recognition of a need for greater interdisciplinary and collaborative research. Presented here are the 53 highest-scoring unique questions. These questions should act as a guide for future research, providing a basis for better assessment and management of climate change impacts on coral reefs and associated fish communities.

  7. Crucial knowledge gaps in current understanding of climate change impacts on coral reef fishes

    KAUST Repository

    Wilson, S. K.

    2010-02-26

    Expert opinion was canvassed to identify crucial knowledge gaps in current understanding of climate change impacts on coral reef fishes. Scientists that had published three or more papers on the effects of climate and environmental factors on reef fishes were invited to submit five questions that, if addressed, would improve our understanding of climate change effects on coral reef fishes. Thirty-three scientists provided 155 questions, and 32 scientists scored these questions in terms of: (i) identifying a knowledge gap, (ii) achievability, (iii) applicability to a broad spectrum of species and reef habitats, and (iv) priority. Forty-two per cent of the questions related to habitat associations and community dynamics of fish, reflecting the established effects and immediate concern relating to climate-induced coral loss and habitat degradation. However, there were also questions on fish demographics, physiology, behaviour and management, all of which could be potentially affected by climate change. Irrespective of their individual expertise and background, scientists scored questions from different topics similarly, suggesting limited bias and recognition of a need for greater interdisciplinary and collaborative research. Presented here are the 53 highest-scoring unique questions. These questions should act as a guide for future research, providing a basis for better assessment and management of climate change impacts on coral reefs and associated fish communities.

  8. Creation of a knowledge management system for QT analyses.

    Science.gov (United States)

    Tornøe, Christoffer W; Garnett, Christine E; Wang, Yaning; Florian, Jeffry; Li, Michael; Gobburu, Jogarao V

    2011-07-01

    An increasing number of thorough QT (TQT) reports are being submitted to the US Food and Drug Administration's interdisciplinary review team for QT (IRT-QT), requiring time-intensive quantitative analyses by a multidisciplinary review team within 45 days. This calls for systematic learning to guide future trials and policies by standardizing and automating the QT analyses to improve review efficiency, provide consistent advice, and enable pooled data analyses to answer key regulatory questions. The QT interval represents the time from initiation of ventricular depolarization to completion of ventricular repolarization recorded by electrocardiograph (ECG) and is used in the proarrhythmic risk assessment. The developed QT knowledge management system is implemented in the R package "QT." Data from 11 crossover TQT studies including time-matched ECGs and pharmacokinetic measurements following single doses of 400 to 1200 mg moxifloxacin were used for the QT analysis example. The automated workflow was divided into 3 components (data management, analysis, and archival). The generated data sets, scripts, tables, and graphs are automatically stored in a queryable repository and summarized in an analysis report. More than 100 TQT studies have been analyzed using the system since 2007. This has dramatically reduced the time needed to review TQT studies and has made the IRT-QT reviews consistent across reviewers. Furthermore, the system enables leveraging prior knowledge through pooled data analyses to answer policy-related questions and to understand the various effects that influence study results.

  9. (Dysfunctional relations between knowledge quality and education system

    Directory of Open Access Journals (Sweden)

    Avramović Zoran

    2011-01-01

    Full Text Available Functional analysis of the relation between knowledge and education system from the viewpoint of quality is used in the paper. It is proved that it is not necessarily true that there is a correspondence between knowledge quality and construction of the education system, i.e. that the former quality is not an inevitable condition of the latter. In the first part of the paper, we distinguish the concept of quality from non-quality knowledge. Out of 19 indicators, five knowledge qualities are normative (exceptional sense, and the others descriptive (specific sense characteristics. In the second part, the conceptual approach to education system focuses on its (dysfunctional and non-functional connections. The tradition of national knowledge, the character of social relations established between the actors within the system and the influence of implicit knowledge on teacher and student actions in education system are discussed. All these factors can influence positively and negatively the direction and content of knowledge quality in education system. Knowledge quality in school curricula and textbooks may be ensured and then (not realized due to the influence of traditional, social and implicit factors on educational interaction. The concept of constellation is used to explain the favorable and unfavorable relation between knowledge quality and education system. In the concluding part, the author argues that education system cannot ensure complete realization of knowledge quality since it is, to a considerable extent, conditioned by school and non-school factors.

  10. Understanding primary school science teachers' pedagogical content knowledge: The case of teaching global warming

    Science.gov (United States)

    Chordnork, Boonliang; Yuenyong, Chokchai

    2018-01-01

    This aim of this research was to investigate primary school science teachers understanding and teaching practice as well as the influence on teaching and learning a topic like global warming. The participants were four primary science teachers, who were not graduated in science education. Methodology was the case study method, which was under the qualitative research regarded from interpretive paradigm. Data were collected by openended questionnaire, semi-structure interview, and document colleting. The questionnaire examined teachers' background, teachers' understanding of problems and threats of science teaching, desiring of development their PCK, sharing the teaching approaches, and their ideas of strength and weakness. a semi-structured interview was conducted based on the approach for capturing PCK of Loughran [23] content representation (CoRe). And, the document was collected to clarify what evidence which was invented to effect on students' learning. These document included lesson plan, students' task, and painting about global warming, science projects, the picture of activities of science learning, the exercise and test. Data analysis employed multiple approach of evidence looking an issue from each primary science teachers and used triangulation method to analyze the data with aiming to make meaning of teachers' representation of teaching practice. These included descriptive statistics, CoRe interpretation, and document analysis. The results show that teachers had misunderstanding of science teaching practice and they has articulated the pedagogical content knowledge in terms of assessment, goal of teaching and linking to the context of socio cultural. In contrast, knowledge and belief of curriculum, students' understanding of content global warming, and strategies of teaching were articulated indistinct by non-graduate science teacher. Constructing opportunities for personal development, the curiosity of the student learning center, and linking context

  11. Linking a Conceptual Framework on Systems Thinking with Experiential Knowledge

    Science.gov (United States)

    Garavito-Bermúdez, Diana; Lundholm, Cecilia; Crona, Beatrice

    2016-01-01

    This paper addresses a systemic approach for the study of fishers' ecological knowledge in order to describe fishers' ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers'…

  12. Information Technology Management Strategies to Implement Knowledge Management Systems

    Science.gov (United States)

    McGee, Mary Jane Christy

    2017-01-01

    More than 38% of the U.S. public workforce will likely retire by 2030, which may result in a labor shortage. Business leaders may adopt strategies to mitigate knowledge loss within their organizations by capturing knowledge in a knowledge management system (KMS). The purpose of this single case study was to explore strategies that information…

  13. Optical engineering: understanding optical system by experiments

    Science.gov (United States)

    Scharf, Toralf

    2017-08-01

    Students have to be educated in theoretical and practical matters. Only one of them does not allow attacking complex problems in research, development, and management. After their study, students should be able to design, construct and analyze technical problems at highest levels of complexity. Who never experienced the difficulty of setting up measurements will not be able to understand, plan and manage such complex tasks in her/his future career. At EPFL a course was developed for bachelor education and is based on three pillars: concrete actions (enactive) to be done by the students, a synthesis of their work by writing a report (considered as the iconic part) and inputs from the teacher to generalize the findings and link it to a possible complete abstract description (symbolic). Intensive tutoring allowed an intermodal transfer between these categories. This EIS method originally introduced by Jerome Bruner for small children is particular well adapted for engineer education for which theoretical understanding often is not enough. The symbiosis of ex-cathedra lecture and practical work in a classroom-like situation presents an innovative step towards integrated learning that complements perfectly more abstract course principles like online courses.

  14. Understanding The Resistance to Health Information Systems

    OpenAIRE

    David Ackah; Angelito E Alvarado; Heru Santoso Wahito Nugroho; Sanglar Polnok; Wiwin Martiningsih

    2017-01-01

    User resistance is users’ opposition to system implementation. Resistance often occurs as a result of a mismatch between management goals and employee preferences. There are two types of resistance to health iformation system namely active resistance and passive resistance. The manifestation of active resistance are being critical,  blaming/accusing, blocking, fault finding, sabotaging, undermining, ridiculing, intimidating/threatening, starting rumors, appealing to fear, manipulating arguing...

  15. Knowledge acquisition for nuclear power plant unit diagnostic system

    International Nuclear Information System (INIS)

    Li Xiaodong; Xi Shuren

    2003-01-01

    The process of acquiring knowledge and building a knowledge base is critical to realize fault diagnostic system at unit level in a nuclear power plant. It directly determines whether the diagnostic system can be applied eventually in a commercial plant. A means to acquire knowledge and its procedures was presented in this paper for fault diagnostic system in a nuclear power plant. The work can be carried out step by step and it is feasible in a commercial nuclear power plant. The knowledge base of the fault diagnostic system for a nuclear power plant can be built after the staff finish the tasks according to the framework presented in this paper

  16. Intelligent use of knowledge in the EUM system

    International Nuclear Information System (INIS)

    Starynkevitch, B.

    1987-05-01

    A system accepting truely descriptive knowledge should receive (on build) meta-knowledge for using knowledge. The EUM system, in development, described in this paper, accepts such a knowledge. On the bottom level, it is a programming language (or a virtual machine) designed to be able to self-improve by introspection. Upper levels use meta-knowledge. EUM can access all objects its uses, it executes orders by using explicit methods. These can be meta-expertises. Hence, EUM can reason about its own operation, and cleverly use its knowledge and methods. Interaction with user is done by orders; thus it can be expertly driven. The initial inference engine is made of modules which can be replaced or completed by meta-expertises, of which some partial examples are given. Hence, it is possible to extend the knowledge langage, and the inference mechanism, by meta-expertises. In the same way, knowledge bases can be expertly compiled into orders [fr

  17. Conference | The Big Bang and the interfaces of knowledge: towards a common understanding? | 11 November

    CERN Multimedia

    2015-01-01

    The third in a series of conferences organised by CERN and Wilton Park, this event will once again bring together scientists, theologians and philosophers to discuss the themes of the nature and understanding of a common language, truth and logic.   Wednesday, 11 November at 4 p.m. in the Main Auditorium For more information and to register, click here. In 2012, CERN and Wilton Park hosted the pioneering international conference “The Big Bang and the interfaces of knowledge: towards a common language?”. The event was very successful and a follow-up conference was organised in June 2014 with the purpose of widening the spectrum of scientists, theologians and philosophers involved, continuing the dialogue on one of the key themes that emerged during the first meeting: the nature and the understanding of “truth”. A key theme emerging from the 2014 event was the nature and understanding of logic, and this third meeting will focu...

  18. Indigenous knowledge systems, drought and people's resilience ...

    African Journals Online (AJOL)

    This article is based on the study that examined the application of indigenous knowledge in the management of drought. For purposes of manageability, it focused on Msinga village in KwaZulu-Natal, paying specific attention to droughts that have been recorded and that prevail in the area and the manner in which people ...

  19. Indigenous Knowledge Systems: contestation, rhetorics and space ...

    African Journals Online (AJOL)

    A postcolonial critical perspective is introduced to indicate the absolutisms on both sides and the tendency towards cultural and historical fixities. An attempt is also made to locate the border space of Indigenous Knowledge inquiry amidst present realities without becoming prone to new imbued epistemological fixities.

  20. Theories are knowledge organizing systems (KOS)

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2015-01-01

    The notion “theory” is a neglected concept in the field of information science and knowledge organization (KO) as well as generally in philosophy and in many other fields, although there are exceptions from this general neglect (e.g., the so-called “theory theory” in cognitive psychology...

  1. Indigenous Knowledge Systems: implications for natural science ...

    African Journals Online (AJOL)

    Given the growing multicultural composition of South African classrooms, educators of science and technology, like educators across the spectrum of all learning areas, are increasingly challenged to reflect how they and their learners conceive of and, as a result, construct knowledge. The reality is that in an expanding ...

  2. Production monitoring system for understanding product robustness

    DEFF Research Database (Denmark)

    Boorla, Srinivasa Murthy; Howard, Thomas J.

    2016-01-01

    study is used to demonstrate how the monitoring system can be used to efficiently guide corrective action to improve product performance. It is claimed that the monitoring system can be used to dramatically cut the time taken to identify, planand execute corrective action related to typical quality...... to be seven days. Using the monitoring system for the PRECI‐IN case, similar corrective action would have been achieved almost immediately.......In the current quality paradigm, the performance of a product is kept within specification by ensuring that its parts are within specification. Product performance is then validated after final assembly. However, this does not control how robust the product performance is, i.e. how much...

  3. Knowledge management systems success in healthcare: Leadership matters.

    Science.gov (United States)

    Ali, Nor'ashikin; Tretiakov, Alexei; Whiddett, Dick; Hunter, Inga

    2017-01-01

    To deliver high-quality healthcare doctors need to access, interpret, and share appropriate and localised medical knowledge. Information technology is widely used to facilitate the management of this knowledge in healthcare organisations. The purpose of this study is to develop a knowledge management systems success model for healthcare organisations. A model was formulated by extending an existing generic knowledge management systems success model by including organisational and system factors relevant to healthcare. It was tested by using data obtained from 263 doctors working within two district health boards in New Zealand. Of the system factors, knowledge content quality was found to be particularly important for knowledge management systems success. Of the organisational factors, leadership was the most important, and more important than incentives. Leadership promoted knowledge management systems success primarily by positively affecting knowledge content quality. Leadership also promoted knowledge management use for retrieval, which should lead to the use of that better quality knowledge by the doctors, ultimately resulting in better outcomes for patients. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  4. Current understanding of interactions between nanoparticles and the immune system

    International Nuclear Information System (INIS)

    Dobrovolskaia, Marina A.; Shurin, Michael; Shvedova, Anna A.

    2016-01-01

    The delivery of drugs, antigens, and imaging agents benefits from using nanotechnology-based carriers. The successful translation of nanoformulations to the clinic involves thorough assessment of their safety profiles, which, among other end-points, includes evaluation of immunotoxicity. The past decade of research focusing on nanoparticle interaction with the immune system has been fruitful in terms of understanding the basics of nanoparticle immunocompatibility, developing a bioanalytical infrastructure to screen for nanoparticle-mediated immune reactions, beginning to uncover the mechanisms of nanoparticle immunotoxicity, and utilizing current knowledge about the structure–activity relationship between nanoparticles' physicochemical properties and their effects on the immune system to guide safe drug delivery. In the present review, we focus on the most prominent pieces of the nanoparticle–immune system puzzle and discuss the achievements, disappointments, and lessons learned over the past 15 years of research on the immunotoxicity of engineered nanomaterials. - Graphical abstract: API — active pharmaceutical ingredient; NP — nanoparticles; PCP — physicochemical properties, CARPA — complement activation-related pseudoallergy, ICH — International Conference on Harmonization. Display Omitted - Highlights: • Achievements, disappointments and lessons learned over past decade are reviewed. • Areas in focus include characterization, immunotoxicity and utility in drug delivery. • Future direction focusing on mechanistic immunotoxicity studies is proposed.

  5. New Methods for Understanding Systems Consolidation

    Science.gov (United States)

    Tayler, Kaycie K.; Wiltgen, Brian J.

    2013-01-01

    According to the standard model of systems consolidation (SMC), neocortical circuits are reactivated during the retrieval of declarative memories. This process initially requires the hippocampus. However, with the passage of time, neocortical circuits become strengthened and can eventually retrieve memory without input from the hippocampus.…

  6. From Global Sustainability to Inclusive Education: Understanding urban children's ideas about the food system

    Science.gov (United States)

    Calabrese Barton, Angela; Koch, Pamela D.; Contento, Isobel R.; Hagiwara, Sumi

    2005-08-01

    The purpose of this paper is to report our findings from a qualitative study intended to develop our understandings of: what high-poverty urban children understand and believe about food and food systems; and how such children transform and use that knowledge in their everyday lives (i.e. how do they express their scientific literacies including content understandings, process understandings, habits of mind in these content areas). This qualitative study is part of a larger study focused on understanding and developing science and nutritional literacies among high-poverty urban fourth-grade through sixth-grade students and their teachers and caregivers.

  7. Understanding The Resistance to Health Information Systems

    Directory of Open Access Journals (Sweden)

    David Ackah

    2017-07-01

    Full Text Available User resistance is users’ opposition to system implementation. Resistance often occurs as a result of a mismatch between management goals and employee preferences. There are two types of resistance to health iformation system namely active resistance and passive resistance. The manifestation of active resistance are being critical,  blaming/accusing, blocking, fault finding, sabotaging, undermining, ridiculing, intimidating/threatening, starting rumors, appealing to fear, manipulating arguing, using facts selectively, distorting facts and  raising objections. The manifestation of passive resistance are agreeing verbally but not following through, failing to implement change, procrastinating/dragging feet, feigning ignorance, withholding information, suggestions, help or support, and standing by and allowing the change to fail.

  8. Maintenance in Probabilistic Knowledge-Based Systems.

    Science.gov (United States)

    1987-12-01

    6c. ADDRESS (City, State, and ZIP Code) 7b ADDRESS(City. State, and ZIP Code) Air Force 11151 ittill v of ’lechnology (A(!) Wright-Pat t Orson AlP...unwilling or unable to provide the knowledge engineer with a definite probability number: " Well , the chances of A happening lie somewhere around .45, but...conclusions reached during this thesis effort, as well as possible areas for further research. 4 II -J

  9. A Knowledge Representation Language for Large Knowledge Bases and "Intelligent" Information Retrieval Systems.

    Science.gov (United States)

    Zarri, Gian Piero

    1990-01-01

    Describes a conceptual Knowledge Representation Language (KRL) developed at the French National Center for Scientific Research, that is used for the construction and use of Large Knowledge Bases (LKBs) and/or Intelligent Information Retrieval Systems (IIRSs). Semantic factors are discussed, and the specialization hierarchies used are explained.…

  10. Construction of Expert Knowledge Monitoring and Assessment System Based on Integral Method of Knowledge Evaluation

    Science.gov (United States)

    Golovachyova, Viktoriya N.; Menlibekova, Gulbakhyt Zh.; Abayeva, Nella F.; Ten, Tatyana L.; Kogaya, Galina D.

    2016-01-01

    Using computer-based monitoring systems that rely on tests could be the most effective way of knowledge evaluation. The problem of objective knowledge assessment by means of testing takes on a new dimension in the context of new paradigms in education. The analysis of the existing test methods enabled us to conclude that tests with selected…

  11. Knowledge transfer and utilization in water system management: knowledge and perceptions in daily practice

    NARCIS (Netherlands)

    van Tilburg, M.; Augustijn, Dionysius C.M.; van Os, A.G.

    2007-01-01

    The aim of this research is to explore the possibility of enlarging the accessibility, usefulness, and utilization of knowledge about the physical-water system for decision- and policymakers. By studying the use of knowledge in the decision-making and policymaking processes, an attempt will me made

  12. Understanding symmetrical components for power system modeling

    CERN Document Server

    Das, J C

    2017-01-01

    This book utilizes symmetrical components for analyzing unbalanced three-phase electrical systems, by applying single-phase analysis tools. The author covers two approaches for studying symmetrical components; the physical approach, avoiding many mathematical matrix algebra equations, and a mathematical approach, using matrix theory. Divided into seven sections, topics include: symmetrical components using matrix methods, fundamental concepts of symmetrical components, symmetrical components –transmission lines and cables, sequence components of rotating equipment and static load, three-phase models of transformers and conductors, unsymmetrical fault calculations, and some limitations of symmetrical components.

  13. Toward a Phase-Model of Global Knowledge Management Systems in Multinational Corporations

    DEFF Research Database (Denmark)

    Nielsen, Bo Bernhard; Michailova, Snejina

    2004-01-01

    -outperform competition and becomeleaders of the e-conomy'. Using examples from a number of large multinational companies thispaper proposes a phase model for the development of a global Knowledge Management Systemwith attention to pertinent policy and management issues in each stage.Keywords: Knowledge management system...... Management System. Although many companies have ManagementInformation Systems in place, this is only the first step in a knowledge-based company. Companiesthat understand and actively manage the process of designing, developing and advancing effectiveKMS' are likely to, in the words of Heinrich v. Pierer, `e......, phase-model, multinational corporation, managementactions...

  14. 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)

  15. A software architecture for knowledge-based systems

    NARCIS (Netherlands)

    Fensel, D; Groenboom, R

    The paper introduces a software architecture for the specification and verification of knowledge-based systems combining conceptual and formal techniques. Our focus is component-based specification enabling their reuse. We identify four elements of the specification of a knowledge-based system: a

  16. The program for indigenous knowledge systems and higher ...

    African Journals Online (AJOL)

    The program for indigenous knowledge systems and higher educational discourse in South Africa: a critical reflection. P Higgs, MP van Niekerk. Abstract. In this article we reflect critically on the call for the establishment of a program for Indigenous Knowledge Systems (IKS) in South Africa, especially in relation to current ...

  17. A review of concentrated flow erosion processes on rangelands: Fundamental understanding and knowledge gaps

    Directory of Open Access Journals (Sweden)

    Sayjro K. Nouwakpo

    2016-06-01

    Full Text Available Concentrated flow erosion processes are distinguished from splash and sheetflow processes in their enhanced ability to mobilize and transport large amounts of soil, water and dissolved elements. On rangelands, soil, nutrients and water are scarce and only narrow margins of resource losses are tolerable before crossing the sustainability threshold. In these ecosystems, concentrated flow processes are perceived as indicators of degradation and often warrant the implementation of mitigation strategies. Nevertheless, this negative perception of concentrated flow processes may conflict with the need to improve understanding of the role of these transport vessels in redistributing water, soil and nutrients along the rangeland hillslope. Vegetation influences the development and erosion of concentrated flowpaths and has been the primary factor used to control and mitigate erosion on rangelands. At the ecohydrologic level, vegetation and concentrated flow pathways are engaged in a feedback relationship, the understanding of which might help improve rangeland management and restoration strategies. In this paper, we review published literature on experimental and conceptual research pertaining to concentrated flow processes on rangelands to: (1 present the fundamental science underpinning concentrated flow erosion modeling in these landscapes, (2 discuss the influence of vegetation on these erosion processes, (3 evaluate the contribution of concentrated flow erosion to overall sediment budget and (4 identify knowledge gaps.

  18. Recommender systems in knowledge-mining

    Science.gov (United States)

    Volna, Eva

    2017-07-01

    The subject of the paper is to analyse the possibilities of application of recommender systems in the field of data mining. The work focuses on three basic types of recommender systems (collaborative, content-based and hybrid). The goal of the article is to evaluate which of these three concepts of recommender systems provides forecast with the lowest error rate in the domain of recommending movies. This target is fulfilled by the practical part of the work - at first, the own recommender system was designed and created, capable of obtaining movies recommendation from the database based on the user's preferences. Next, we verified experimentally which recommender system produces more accurate results.

  19. Knowledge-based systems for power management

    Science.gov (United States)

    Lollar, L. F.

    1992-01-01

    NASA-Marshall's Electrical Power Branch has undertaken the development of expert systems in support of further advancements in electrical power system automation. Attention is given to the features (1) of the Fault Recovery and Management Expert System, (2) a resource scheduler or Master of Automated Expert Scheduling Through Resource Orchestration, and (3) an adaptive load-priority manager, or Load Priority List Management System. The characteristics of an advisory battery manager for the Hubble Space Telescope, designated the 'nickel-hydrogen expert system', are also noted.

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

    Science.gov (United States)

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

    2003-01-01

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

  1. The relevance of traditional knowledge systems for ethnopharmacological research: theoretical and methodological contributions.

    Science.gov (United States)

    Reyes-García, Victoria

    2010-11-17

    Ethnopharmacology is at the intersection of the medical, natural, and social sciences. Despite its interdisciplinary nature, most ethnopharmacological research has been based on the combination of the chemical, biological, and pharmacological sciences. Far less attention has been given to the social sciences, including anthropology and the study of traditional knowledge systems. I reviewed the literature on traditional knowledge systems highlighting its potential theoretical and methodological contributions to ethnopharmacology. I discuss three potential theoretical contributions of traditional knowledge systems to ethnopharmacological research. First, while many plants used in indigenous pharmacopoeias have active compounds, those compounds do not always act alone in indigenous healing systems. Research highlights the holistic nature of traditional knowledge systems and helps understand plant's efficacy in its cultural context. Second, research on traditional knowledge systems can improve our understanding of how ethnopharmacological knowledge is distributed in a society, and who benefits from it. Third, research on traditional knowledge systems can enhance the study of the social relations that enable the generation, maintenance, spread, and devolution of cultural traits and innovations, including ethnopharmacological knowledge. At a methodological level, some ethnopharmacologists have used anthropological tools to understand the context of plant use and local meanings of health and disease. I discuss two more potential methodological contributions of research on traditional knowledge systems to ethnopharmacological research. First, traditional knowledge systems research has developed methods that would help ethnopharmacologists understand how people classify illnesses and remedies, a fundamental aspect of folk medicinal plant selection criteria. Second, ethnopharmacologists could also borrow methods derived from cultural consensus theory to have a broader look

  2. Irrelevance Reasoning in Knowledge Based Systems

    Science.gov (United States)

    Levy, A. Y.

    1993-01-01

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

  3. Knowledge Management System Di Bidang Pelayaran Menggunakan Metodologi USDP

    Directory of Open Access Journals (Sweden)

    Muhamad Nasihin

    2017-03-01

                                                                Abstract Karunia Samudera Indonesia Co. Ltd. is a company that engaged in shipping more than 22 years since 1995 up to now handle a variety of water transport fleet services, the agency, processing of documents, crew recruitment, docking ships, often using social media and email in the dissemination of knowledge and information that is carried out so far. However, these media can not accommodate this company in some ways as the notes of the knowledge that can be searched back and not as a recording medium for the knowledges based on experience in the field. Therefore, we need to design a system that can convert tacit knowledge into explicit knowledge that is useful for Karunia Samudera Indonesia Co. Ltd. and ease to communicate information to the users of services. The system was designed using the methodology of the Unified Software Development Process (USDP in this research is a web application that implements the concept of Knowledge Management System (Knowledge Managements, which the user can interact with Karunia Samudera Indonesia Co. Ltd. as a member of the system by commenting on the article which is a form of knowledge that has been documented.   Keywords:   Knowledge Management System, Unified Software Development Process, Web Application.

  4. Characterizing and comparing innovation systems by different ‘modes’ of knowledge production: A proximity approach

    NARCIS (Netherlands)

    Hardeman, Sjoerd; Frenken, Koen; Nomaler, Önder; Ter Wal, Anne L. J.

    2015-01-01

    Though the concept of innovation systems has become influential in both academia and policymaking, an analytical approach to understanding innovation systems is still lacking. In particular, there is no analytical framework to measure `Mode 1? and `Mode 2? knowledge production. We propose a

  5. A Guide to Understanding Data Remanence in Automated Information Systems

    National Research Council Canada - National Science Library

    1991-01-01

    The purpose of A Guide to Understanding Data Remanence in Automated Information Systems is to provide information to personnel responsible for the secure handling of sensitive automated information system (AIS...

  6. 7th International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui; Li, Hongbo

    2014-01-01

    These proceedings present technical papers selected from the 2012 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2012), held on December 15-17 in Beijing. The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new findings and perspectives on future developments. The proceedings introduce current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, knowledge engineering, information retrieval, information theory, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, and natural-language processing, etc. Furthermore they include papers on new intelligent computing paradigms, which combine new computing methodologies, e.g., cloud computing, service computing and pervasive computing with traditional intelligent methods. By presenting new method...

  7. Understanding the sediment routing system along the Gulf of ...

    Indian Academy of Sciences (India)

    Understanding the sediment routing system along the Gulf of Kachchh coast, western India: Significance of small ephemeral rivers ... is an attempt towards understanding the sediment routing system in the semi-arid margin of the Gulf of Kachchh, which is one of the largest macrotidal regimes in the northern Arabian Sea.

  8. Understanding Digital Learning from the Perspective of Systems Dynamics

    Science.gov (United States)

    Kok, Ayse

    2009-01-01

    The System Dynamics approach can be seen as a new way of understanding dynamical phenonema (natural, physical, biological, etc.) that occur in our daily lives taking into consideration not only single pairs of cause-effect variables, but the functioning of the system as a whole. This approach also provides the students with a new understanding in…

  9. Growing up with No Child Left Behind: An Initial Assessment of the Understanding of College Students' Knowledge of Accountability Testing

    Science.gov (United States)

    Zilberberg, Anna; Anderson, Robin D.; Swerdzewski, Peter J.; Finney, Sara J.; Marsh, Kimberly R.

    2012-01-01

    Despite the extensive testing for federal accountability mandates, college students' understanding of federal accountability testing (e.g., No Child Left Behind, Race to the Top, Spellings) has not been examined, resulting in a lack of knowledge regarding how such understanding (or lack thereof) impacts college students' behavior on accountability…

  10. 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...

  11. Models, Metaphors and Symbols for Information and Knowledge Systems

    Directory of Open Access Journals (Sweden)

    David Williams

    2014-01-01

    Full Text Available A literature search indicates that Data, Information and Knowledge continue to be placed into a hierarchical construct where it is considered that information is more valuable than data and that information can be processed into becoming precious knowledge. Wisdom continues to be added to the model to further confuse the issue. This model constrains our ability to think more logically about how and why we develop knowledge management systems to support and enhance knowledge- intensive processes, tasks or projects. This paper seeks to summarise development of the Data-Information-Knowledge-Wisdom hierarchy, explore the extensive criticism of it and present a more logical (and accurate construct for the elements of intellectual capital when developing and managing Knowledge Management Systems.

  12. Pedagogical context knowledge: Toward a fuller understanding of what good science teachers know

    Science.gov (United States)

    Barnett, John; Hodson, Derek

    2001-07-01

    A codified model of teacher knowledge, situated in school science teaching, is proposed as a synthesis of a number of models, metaphors, and notions already described in the literature about teachers' knowledge. This model, called pedagogical context knowledge, suggests that in discussion of their classroom practice, exemplary science teachers utilize four kinds of knowledge: academic and research knowledge, pedagogical content knowledge, professional knowledge, and classroom knowledge. The model is used to examine data collected through interviews with science teachers about the ways in which they design and implement science lessons. Analysis of the data shows that the model is sufficiently robust to provide a simple and rapid, yet effective and efficient way of examining teachers' views and the knowledge base in which they are embedded.

  13. Understanding Knowledge through the Example of C. S. Peirce’s Cosmology

    Directory of Open Access Journals (Sweden)

    Enn Kasak

    2016-10-01

    Full Text Available In the era of Charles Sanders Peirce, cosmology was similar to philosophy that was still aspiring to be scientific. Peirce, having worked as an astrophysicist, supported cosmology’s strive towards science. In cosmology, one often relies on knowledge different from everyday knowledge: such knowledge is very general and is situated on the boundaries of what is known; it is very difficult to ascertain it empirically. After Karl Popper, a realist may distinguish between subjective and objective knowledge but this distinction does not suffice for cosmology. A pragmaticist following Peirce could distinguish knowledge about real ideas, which could be termed i-knowledge. This could mean being made party to or being grasped by real ideas functioning outside ourselves. Expressing all i-knowledge as propositional knowledge is difficult. However, non-propositional i-knowledge can sometimes be expressed as principles or paradoxically.

  14. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    Energy Technology Data Exchange (ETDEWEB)

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  15. Critical Care nurses' understanding of the NHS knowledge and skills framework. An interpretative phenomenological analysis.

    Science.gov (United States)

    Stewart, Laura F M; Rae, Agnes M

    2013-01-01

    This small-scale research study aimed to explore Critical Care nurses' understanding of the National Health Service (NHS) Knowledge and Skills Framework (KSF) in relationship to its challenges and their nursing role. The NHS KSF is central to the professional development of nurses in Critical Care and supports the effective delivery of health care in the UK. KSF was implemented in 2004 yet engagement seems lacking with challenges often identified. This qualitative study adopted an Interpretative Phenomenological Analysis framework. Data were collected from five Critical Care nurses using semi-structured interviews that were transcribed for analysis. Two super-ordinate themes of 'engagement' and 'theory-practice gap' were identified. Six subthemes of 'fluency', 'transparency', 'self-assessment', 'achieving for whom', 'reflection' and 'the nursing role' further explained the super-ordinate themes. Critical Care nurses demonstrated layers of understanding about KSF. Challenges identified were primarily concerned with complex language, an unclear process and the use of reflective and self-assessment skills. Two theory-practice gaps were found. Critical Care nurses understood the principles of KSF but they either did not apply or did not realize they applied these principles. They struggled to relate KSF to Critical Care practice and felt it did not capture the 'essence' of their nursing role in Critical Care. Recommendations were made for embedding KSF into Critical Care practice, using education and taking a flexible approach to KSF to support the development and care delivery of Critical Care nurses. © 2012 The Authors. Nursing in Critical Care © 2012 British Association of Critical Care Nurses.

  16. SOME CONCEPTUAL PROPERTIES FOR KNOWLEDGE MANAGEMENT SYSTEMS DESIGN

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2005-01-01

    Full Text Available Knowledge Management Systems (KMS are important tools by which organizations can better useinformation and, more importantly, manage knowledge. Unlike other strategies, knowledge management (KM isdifficult to define because it encompasses a range of concepts, management tasks, technologies, and organizationalpractices, all of which come under the umbrella of the information management. Semantic approaches alloweasier and more efficient training, maintenance, and support knowledge. Current ICT markets are dominated byrelational databases and document-centric information technologies, procedural algorithmic programmingparadigms, and stack architecture. A key driver of global economic growth in the coming decade is the build-out ofbroadband telecommunications and the deployment of intelligent services bundling. This paper introduces themain characteristics of an Intelligent Knowledge Management System as a multi-agent system used in a LearningControl Problem (IKMSLCP. We describe an intelligent KM framework, allowing the observer (a human agentto learn from experience.

  17. Computational Strategies for a System-Level Understanding of Metabolism

    Science.gov (United States)

    Cazzaniga, Paolo; Damiani, Chiara; Besozzi, Daniela; Colombo, Riccardo; Nobile, Marco S.; Gaglio, Daniela; Pescini, Dario; Molinari, Sara; Mauri, Giancarlo; Alberghina, Lilia; Vanoni, Marco

    2014-01-01

    Cell metabolism is the biochemical machinery that provides energy and building blocks to sustain life. Understanding its fine regulation is of pivotal relevance in several fields, from metabolic engineering applications to the treatment of metabolic disorders and cancer. Sophisticated computational approaches are needed to unravel the complexity of metabolism. To this aim, a plethora of methods have been developed, yet it is generally hard to identify which computational strategy is most suited for the investigation of a specific aspect of metabolism. This review provides an up-to-date description of the computational methods available for the analysis of metabolic pathways, discussing their main advantages and drawbacks.  In particular, attention is devoted to the identification of the appropriate scale and level of accuracy in the reconstruction of metabolic networks, and to the inference of model structure and parameters, especially when dealing with a shortage of experimental measurements. The choice of the proper computational methods to derive in silico data is then addressed, including topological analyses, constraint-based modeling and simulation of the system dynamics. A description of some computational approaches to gain new biological knowledge or to formulate hypotheses is finally provided. PMID:25427076

  18. Synergy between indigenous knowledge systems, modern health ...

    African Journals Online (AJOL)

    ... the people of this country should harness a synergy between indigenous health care systems, scientific research and modern health care methods. This article attempts to address the historical evolution of health care methods in South Africa, its effect on the community as well as challenges facing the health professions.

  19. Representing Historical Knowledge in Geographic Information Systems

    Science.gov (United States)

    Grossner, Karl Eric

    2010-01-01

    A growing number of historical scholars in social science and humanities fields are using geographic information systems (GIS) to help investigate spatial questions and map their findings. The nature of historical data and historiographic practices present several challenges in using GIS that have been addressed only partially to date. For…

  20. A knowledge-based decision support system for payload scheduling

    Science.gov (United States)

    Tyagi, Rajesh; Tseng, Fan T.

    1988-01-01

    This paper presents the development of a prototype Knowledge-based Decision Support System, currently under development, for scheduling payloads/experiments on space station missions. The DSS is being built on Symbolics, a Lisp machine, using KEE, a commercial knowledge engineering tool.

  1. The construction of knowledge service system in professional libraries

    International Nuclear Information System (INIS)

    Zhang Xue

    2014-01-01

    In this paper, the challenges for the professional libraries under the new situation are pointed out. Combined with characteristics of knowledge service, its hierarchical structure is proposed and elaborated. It also describes the practices and outcomes obtained from the construction of knowledge service system of nuclear science and technology library. Recommendations for its future work are also presented. (author)

  2. 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)

  3. 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

  4. 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

  5. Knowledge-Based Management System and Dearth of Flexible ...

    African Journals Online (AJOL)

    This paper discussed the dearth of definite framework to design knowledge based management system model that can be deployed to design a knowledge structure capable of stipulating general format for software development that will meet the yearnings of the consumers who want products that meet their need and are ...

  6. Understanding the organization of sharing economy in agri-food systems

    NARCIS (Netherlands)

    Miralles, Isabel; Dentoni, Domenico; Pascucci, Stefano

    2017-01-01

    Despite the proliferation of sharing economy initiatives in agri-food systems, the recent literature has still not unravelled what sharing exactly entails from an organizational standpoint. In light of this knowledge gap, this study aims to understand which resources are shared, and how, in a

  7. Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2010-12-01

    Full Text Available A reduction of the algorithmic complexity of the fuzzy inference engine has the following property: the inputs (the fuzzy rules and the fuzzy facts can be divided in two parts, one being relatively constant for a long a time (the fuzzy rule or the knowledge model when it is compared to the second part (the fuzzy facts for every inference cycle. The occurrence of certain transformations over the constant part makes sense, in order to decrease the solution procurement time, in the case that the second part varies, but it is known at certain moments in time. The transformations attained in advance are called pre-processing or knowledge compilation. The use of variables in a Business Rule Management System knowledge representation allows factorising knowledge, like in classical knowledge based systems. The language of the first-degree predicates facilitates the formulation of complex knowledge in a rigorous way, imposing appropriate reasoning techniques. It is, thus, necessary to define the description method of fuzzy knowledge, to justify the knowledge exploiting efficiency when the compiling technique is used, to present the inference engine and highlight the functional features of the pattern matching and the state space processes. This paper presents the main results of our project PR356 for designing a compiler for fuzzy knowledge, like Rete compiler, that comprises two main components: a static fuzzy discrimination structure (Fuzzy Unification Tree and the Fuzzy Variables Linking Network. There are also presented the features of the elementary pattern matching process that is based on the compiled structure of fuzzy knowledge. We developed fuzzy discrimination algorithms for Distributed Knowledge Management Systems (DKMSs. The implementations have been elaborated in a prototype system FRCOM (Fuzzy Rule COMpiler.

  8. The knowledge dynamics of organizational innovation : understanding the implementation of decision support for planners

    NARCIS (Netherlands)

    Sjarbaini, Vivyane Larissa Ratna Nirma

    2009-01-01

    This thesis argues that a knowledge perspective on organizational innovation provides essential insights. A cognitive-semiotic model on knowledge dynamics is presented and used to perform an empirical study. We seek an answer to the question: What happens to the knowledge of planners during an

  9. Profound Understanding of Emergent Mathematics: Broadening the Construct of Teachers' Disciplinary Knowledge

    Science.gov (United States)

    Davis, Brent; Renert, Moshe

    2013-01-01

    We discuss the teachers' disciplinary knowledge of mathematics in this article, arguing two main points as we report on a 2-year study involving 22 practicing teachers. First we argue that teachers' knowledge of mathematics might be productively construed as a complex evolving form, a significant dimension of which is tacit knowledge. Second,…

  10. Managing Temporal Knowledge in Port Management Systems

    Directory of Open Access Journals (Sweden)

    Anita Gudelj

    2006-05-01

    Full Text Available Large ports need to deal with a number of disparate activities:the movement of ships, containers and other cargo, theloading and unloading of ships and containers, customs activities.As well as human resources, anchorages, channels, lighters,tugs, berths, warehouse and other storage spaces have to beallocated and released. The efficient management of a port involvesmanaging these activities and resources, managing theflows of money involved between the agents providing and usingthese resources, and providing management information.Many information systems will be involved.Many applications have to deal with a large amount of datawhich not only represent the perceived state of the real world atpresent, but also past and/or future states. These applicationsare not served adequately by today's computer managementand database systems. In particular, deletions and updates insuch systems have destructive semantics. This means that previousdatabase contents (representing previous perceived statesof the real world cannot be accessed anymore.A review of how define temporal data models, based ongeneralizing a non-temporal data model in to a temporal one toimprove port management is presented. This paper describes apractical experiment which supports managing temporal dataalong with the corresponding prototype implementations.

  11. Verification and Validation of Embedded Knowledge-Based Software Systems

    National Research Council Canada - National Science Library

    Santos, Eugene

    1999-01-01

    .... Our fundamental approach actively assists subject-matter experts in organizing their knowledge inclusive of uncertainty to build such embedded systems in a consistent and correct as well as effective fashion...

  12. An Evaluation of Knowledge Base Systems for Large OWL Datasets

    National Research Council Canada - National Science Library

    Guo, Yuanbo; Pan, Zhengxiang; Heflin, Jeff

    2004-01-01

    .... To this end, we have developed the Lehigh University Benchmark (LUBM). The benchmark is intended to evaluate knowledge base systems with respect to extensional queries over a large dataset that commits to a single realistic ontology...

  13. Knowledge asset management pertinent to information systems outsourcing

    CSIR Research Space (South Africa)

    Smuts, H

    2015-04-01

    Full Text Available Organisations have over time realised that leveraging their already accumulated knowledge assets are the most cost effective way to increase their competitive standing and to harness innovation. In choosing to outsource their information systems (IS...

  14. INTELLIGENT AUTOMATED SYSTEM OF CONTROL OF KNOWLEDGE: LINGUISTIC SUBSYSTEM

    Directory of Open Access Journals (Sweden)

    I. Katerynchuk

    2010-08-01

    Full Text Available A flowchart linguistic structure (morfological, syntactical, semantic and pragmatic analysis of sentences of the automated system of control of intellectual knowledge. The model of artificial intelligence recognition and evaluation of textual answers.

  15. A System Theoretical Inspired Approach to Knowledge Construction

    DEFF Research Database (Denmark)

    Mathiasen, Helle

    2008-01-01

    student's knowledge construction, in the light of operative constructivism, inspired by the German sociologist N. Luhmann's system theoretical approach to epistemology. Taking observations as operations based on distinction and indication (selection) contingency becomes a fundamental condition in learning....... In the light of operative constructivism this is a paradox and a challenge for the Educational system....... consequences for ways of organising teaching, and thereby the educational systems approaches to aims, goals, requirements, learning media and tests. The paper invite the educational system to rethink the condition for knowledge construction. The consequence of the systems theoretical approach...

  16. Frame model of knowledge in quality control systems

    Energy Technology Data Exchange (ETDEWEB)

    Macherauskas, V.Yu.

    1982-09-01

    The purpose of this article is to develop a semiotic model for representation of data and knowledge in a system for supplying operational information to management personnel on the progress of a technological process, with the aim of enabling an analysis of deviations of product quality and formulation of recommendations to the technologists as to how to eliminate them. Since any knowledge of people that can be realistically utilized in machine systems is represented in natural language form, special languages for representation of knowledge, based on the concept of frames, are being developed for formation of semiotic models in computers. This article defines the frames, followed by a description of a mechanism of knowledge manipulation and of some aspects of realization of a frame model of knowledge. 9 references.

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

    Science.gov (United States)

    Riedesel, Joel D.

    1990-01-01

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

  18. Gregory Bateson’s Ecology of Mind and the Understanding of Human Knowledge

    Directory of Open Access Journals (Sweden)

    Elzbieta Magdalena Wasik

    2017-01-01

    Full Text Available Departing from the biological notion of ecology that pertains to mutual relationships between organisms and their environments, this paper discusses theoretical foundations of research on the nature of human mind in relation to knowledge, cognition and communication conducted in a broader context of social sciences. It exposes the view, explicitly formulated by Gregory Bateson, that the mind is the way in which ideas are created, or just the systemic device for transmitting information in the world of all living species. In consequence, some crucial points of Bateson’s reasoning are accentuated, such as the recognition of the biological unity of organism and environment, the conviction of the necessity to study the ecology in terms of the economics of energy and material and/or the economy of information, the belief that consciousness distorts information coming to the organism from the inside and outside, which is the cause of its functional disadaptation, and the like. The conception of the ecology of an overall mind, as the sets of ideas, notions or thoughts in the whole world, is presented against the background of theoretical and empirical achievements of botany and zoology, anthropology, ethology and psychiatry, sociology and communication studies in connection with the development of cybernetics, systems theory and information theory.

  19. 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

  20. The politics of knowledge: implications for understanding and addressing mental health and illness.

    Science.gov (United States)

    Jenkins, Emily K

    2014-03-01

    While knowledge represents a valuable commodity, not all forms of knowledge are afforded equal status. The politics of knowledge, which entails the privileging of particular ways of knowing through linkages between the producers of knowledge and other bearers of authority or influence, represents a powerful force driving knowledge development. Within the health research and practice community, biomedical knowledge (i.e. knowledge pertaining to the biological factors influencing health) has been afforded a privileged position, shaping the health research and practice community's view of health, illness and appropriate intervention. The aim of this study is to spark critical reflection and dialogue surrounding the ways in which the politics of knowledge have constrained progress in addressing mental health and illness, one of today's leading public health issues. I argue that the hegemony of biological knowledge represents an ethical issue as it limits the breadth of knowledge available to support practitioners to 'do good' in terms of addressing mental illness. Given the power and influence inherent within the nursing community, I propose that nurses ought to engage in critical reflection and action in an effort to better situate the health research and practice community to effectively address the mental health of populations. © 2013 John Wiley & Sons Ltd.

  1. A Note on Systems Intelligence in Knowledge Management

    Science.gov (United States)

    Sasaki, Yasuo

    2017-01-01

    Purpose: This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking…

  2. Predictors of attitude and intention to use knowledge management system among Korean nurses.

    Science.gov (United States)

    Yun, Eun Kyoung

    2013-12-01

    Knowledge sharing using Knowledge Management (KM) systems helps nurses to understand and acquire appropriate knowledge that influences the quality of healthcare service. The purpose of this study was to identify organizational and individual factors influencing attitude and intention to use KM systems among Korean nurses. A cross-sectional survey design was used to study a sample of 245 nurses employed at five hospitals in Seoul. A multiple hierarchical regression was used to examine predictors of nurses' attitude and intention to use. From an individual perspective, nurse's informatics competency was identified as a significant factor influencing attitudes toward knowledge management usage within adhocracy and clan cultures. However, from an organizational perspective, level of hospital information system was identified as a significant factor influencing KM system usage within adhocracy cultures. The findings of this study will be helpful in better understanding and assessing the impact of the factors affecting the implementation of nursing knowledge management systems and in further developing successful managerial strategies using knowledge resources in healthcare settings. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. Hospital information management system: an evolutionary knowledge management perspective.

    Science.gov (United States)

    Wadhwa, S; Saxena, Avneet; Wadhwa, Bharat

    2007-01-01

    The evolving paradigm shift resulting from IT, social and technological changes has created a need for developing an innovative knowledge-based healthcare system, which can effectively meet global healthcare system demands and also cater to future trends. The Hospital Information Management System (HIMS) is developed with this sole aim in mind, which helps in processing and management of hospital information not only inside the boundary, but also beyond the hospital boundary, e.g., telemedicine or e-healthcare. The purpose of this paper is to present such kind of functional HIMS, which can efficiently satisfy the current and future system requirements by using Knowledge Management (KM) and data management systems. The HIMS is developed in a KM context, wherein users can share and use the knowledge more effectively. The proposed system is fully compatible with future technical, social, managerial and economical requirements.

  4. Knowledge based development of graphic display systems

    International Nuclear Information System (INIS)

    Woods, D.D.

    1985-01-01

    Most human factors guidelines on computer display design attempt to ensure that human sensory limits are not strained or that users can potentially access data. While this is a necessary and too often an overlooked step in interface design, it does not address issues about how to use computer displays to aid human performance at domain tasks. This challenge to human factors guidance is particularly acute in complex environments such as nuclear power plants where the goal is more than a useable interface system; the interface must support effective human performance at tasks like situation assessment, fault management, problem solving and planning. Studies of human performance in complex domains reveal that human-machine performance failures can often be linked to problems in information handling - data overload, getting lost, keyhole effects, tunnel vision to name but a few. All of these information handling problems represent manifestations of an inability to find, integrate or interpret the ''right'' data at the ''right'' time, i.e., failures where critical information is not detected among the ambient data load, where critical information is not assembled from data distributed over time or over space; and where critical information is not looked for because of misunderstandings or erroneous assumptions (cf., Woods, 1985). Problems of this kind illustrate that the potential to see, read, or access data does not guarantee successful user information extraction. The result is a need for research and guidance on design for enhanced information extraction in addition to design for data availability

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

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

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

  6. Knowledge and adoption of solar home systems in rural Nicaragua

    International Nuclear Information System (INIS)

    Rebane, Kaja L.; Barham, Bradford L.

    2011-01-01

    Solar home systems (SHSs) are a promising electrification option for many households in the developing world. In most countries SHSs are at an early stage of dissemination, and thus face a hurdle common to many emerging alternative energy technologies: many people do not know enough about them to decide whether to adopt one or not. This study uses survey data collected in Nicaragua to investigate characteristics that predict the knowledge and adoption of SHSs among the rural population. First, a series of probit models is used to model the determinants of four measures of SHS knowledge. Next, a biprobit model with sample selection is employed to investigate the factors that predict SHS adoption, conditional on having sufficient knowledge to make an adoption decision. Comparison of the biprobit formulation to a standard probit model of adoption affirms its value. This study identifies multiple determinants of SHS knowledge and adoption, offers several practical recommendations to project planners, and provides an analytical framework for future work in this policy-relevant area. - Research highlights: → Solar home systems (SHSs) are a promising rural electrification option in the developing world. → As with many emerging renewable energy technologies, lack of knowledge may limit SHS adoption. → We use probit models to investigate the determinants of SHS knowledge in rural Nicaragua. → We also employ a biprobit model linking the determinants of knowledge and adoption. → We find that in analyzing SHS adoption, accounting for sample selection based on knowledge is key.

  7. An investigation of prior knowledge in Automatic Music Transcription systems.

    Science.gov (United States)

    Cazau, Dorian; Revillon, Guillaume; Krywyk, Julien; Adam, Olivier

    2015-10-01

    Automatic transcription of music is a long-studied research field with many operational systems available commercially. In this paper, a generic transcription system able to host various prior knowledge parameters has been developed, followed by an in-depth investigation of their impact on music transcription. Explicit links between musical knowledge and algorithmic formalism have been made. Musical knowledge covers classes of timbre, musicology, and playing style of an instrument repertoire. An evaluation sound corpus gathering musical pieces played by human performers from three different instrument repertoires, namely, classical piano, steel-string acoustic guitar, and the marovany zither from Madagascar, has been developed. The different components of musical knowledge have been successively incorporated in a complete transcription system, consisting mainly of a Probabilistic Latent Component Analysis algorithm post-processed with a Hidden Markov Model, and their impact on transcription results have been comparatively evaluated.

  8. Understanding the Dynamics of High Tech Knowledge Creation across Organizational Boundaries

    DEFF Research Database (Denmark)

    Smith, Pernille; Ulhøi, John Parm

    . Existing literature, however, offers little in-depth insight into why and how such inter-organizational collaborations often encounter difficulties in crossing these boundaries and thus in accomplishing the expected joint knowledge creation and exchange. Departing from Carlile's (2004) integrated framework...... for managing knowledge across boundaries, in this paper we identify the knowledge boundaries present in a longitudinal R&D collaboration between six organizations. We analyzed how these boundaries were partially overcome, and present a fourth knowledge boundary, which causes major challenges in the inter-organizational...

  9. Real-time expert systems and deep knowledge models

    International Nuclear Information System (INIS)

    Felkel, L.

    1990-01-01

    To guide operators in normal and disturbed plant conditions expert systems are feasible. These, however, must be on-line and real-time systems. The knowledge contained in such a system cannot be represented in a 'classical' role-based manner. The paper describes problems and solutions with regard to process reference models as these are important in order to provide so-called deep-knowledge for the operators. The system described is being implemented and is meant to support both diagnosis and prediction

  10. An Intelligent Knowledge Management System from a Semantic Perspective

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2008-01-01

    Full Text Available Knowledge Management Systems (KMS are important tools by whichorganizations can better use information and, more importantly, manageknowledge. Unlike other strategies, knowledge management (KM is difficult todefine because it encompasses a range of concepts, management tasks,technologies, and organizational practices, all of which come under the umbrella ofthe information management. Semantic approaches allow easier and more efficienttraining, maintenance, and support knowledge. Current ICT markets are dominatedby relational databases and document-centric information technologies, proceduralalgorithmic programming paradigms, and stack architecture. A key driver of globaleconomic expansion in the coming decade is the build-out of broadbandtelecommunications and the deployment of intelligent services bundling. This paperintroduces the main characteristics of an Intelligent Knowledge ManagementSystem as a multiagent system used in a Learning Control Problem (IKMSLCP,from a semantic perspective. We describe an intelligent KM framework, allowingthe observer (a human agent to learn from experience. This framework makes thesystem dynamic (flexible and adaptable so it evolves, guaranteeing high levels ofstability when performing his domain problem P. To capture by the agent who learnthe control knowledge for solving a task-allocation problem, the control expertsystem uses at any time, an internal fuzzy knowledge model of the (businessprocess based on the last knowledge model.

  11. Assessing the Dynamic Behavior of Online Q&A Knowledge Markets: A System Dynamics Approach

    Science.gov (United States)

    Jafari, Mostafa; Hesamamiri, Roozbeh; Sadjadi, Jafar; Bourouni, Atieh

    2012-01-01

    Purpose: The objective of this paper is to propose a holistic dynamic model for understanding the behavior of a complex and internet-based kind of knowledge market by considering both social and economic interactions. Design/methodology/approach: A system dynamics (SD) model is formulated in this study to investigate the dynamic characteristics of…

  12. Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK

    DEFF Research Database (Denmark)

    Grunert, Klaus G.; Wills, Josephine M.; Fernández-Celemín, Laura

    2010-01-01

    Based on in-store observations in three major UK retailers, in-store interviews (2019) and questionnaires filled out at home and returned (921), use of nutrition information on food labels and its understanding were investigated. Respondents' nutrition knowledge was also measured, using a compreh......Based on in-store observations in three major UK retailers, in-store interviews (2019) and questionnaires filled out at home and returned (921), use of nutrition information on food labels and its understanding were investigated. Respondents' nutrition knowledge was also measured, using.......5% of respondents being able to identify the healthiest product in a set of three. Differences between level of understanding and level of usage are explained by different causal mechanisms. Regression analysis showed that usage is mainly related to interest in healthy eating, whereas understanding of nutrition...

  13. 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

  14. Morphological Awareness, Orthographic Knowledge, and Spelling Errors: Keys to Understanding Early Chinese Literacy Acquisition

    Science.gov (United States)

    Tong, Xiuli; McBride-Chang, Catherine; Shu, Hua; Wong, Anita M-Y.

    2009-01-01

    This 1-year longitudinal study examined the extent to which morphological awareness, orthographic knowledge, and phonological awareness, along with speeded naming, uniquely explained word recognition, dictation (i.e., spelling), and reading comprehension among 171 young Hong Kong Chinese children. With age and vocabulary knowledge statistically…

  15. Understanding the Influence of Two Mathematics Textbooks on Prospective Secondary Teachers' Knowledge

    Science.gov (United States)

    Davis, Jon D.

    2009-01-01

    This study examines the influence of reading and planning from two differently organized mathematics textbooks on prospective high school mathematics teachers' pedagogical content knowledge and content knowledge of exponential functions. The teachers completed a pretest and two posttests. On the pretest, the teachers possessed an incomplete…

  16. Understanding the Knowledge and Use of Experiential Learning within Pennsylvania 4-H Clubs

    Science.gov (United States)

    Bechtel, Robyn; Ewing, John C.; Threeton, Mark; Mincemoyer, Claudia

    2013-01-01

    Experiential learning is incorporated into the National 4-H curriculum. However, the state 4-H staff in Pennsylvania is unsure of the current knowledge and use of experiential learning within the local 4-H clubs. An online survey was distributed to Extension educators and volunteer leaders within Pennsylvania to assess the current knowledge and…

  17. Remembering and Understanding: The Effects of Changes in Underlying Knowledge on Children's Recollections.

    Science.gov (United States)

    Greenhoot, Andrea Follmer

    2000-01-01

    Explored influence of changes in kindergartners' knowledge about a protagonist on earlier constructed memories of the story. Found that children's story recall was affected by their prior impressions. Following the second knowledge manipulation, children revised story reports consistent with newly acquired impressions, suggesting that they had…

  18. Understanding the application of knowledge management to the safety critical facilities

    International Nuclear Information System (INIS)

    Ilina, Elena

    2010-01-01

    Challenges to the operating nuclear power plants and transport infrastructures are outlined. It is concluded that most aggravating factors are related to knowledge. Thus, of necessity, effective knowledge management is required. Knowledge management theories are reviewed in their historical perspective as a natural extension and unification of information theories and theories about learning. The first line is identified with names as Wiener, Ashby, Shannon, Jaynes, Dretske, Harkevich. The second line - with Vygotsky, Engestroem, Carayannis. The recent developments of knowledge management theorists as Davenport, Prusak, Drew, Wiig, Zack are considered stressing learning, retaining of knowledge, approaching the state awareness of awareness, and alignment of knowledge management with the strategy of the concerned organizations. Further, some of the details and results are presented of what is achieved so far. More specifically, knowledge management tools are applied to the practical work activities as event reporting, data collection, condition assessment, verification of safety functions and incident investigation. Obstacles are identified and improvements are proposed. Finally, it is advised to continue to implement and further develop knowledge management tools in the organizations involved in various aspects of safety critical facilities

  19. Toward a Blended Ontology: Applying Knowledge Systems to ...

    Science.gov (United States)

    Bionanomedicine and environmental research share need common terms and ontologies. This study applied knowledge systems, data mining, and bibliometrics used in nano-scale ADME research from 1991 to 2011. The prominence of nano-ADME in environmental research began to exceed the publication rate in medical research in 2006. That trend appears to continue as a result of the growing products in commerce using nanotechnology, that is, 5-fold growth in number of countries with nanomaterials research centers. Funding for this research virtually did not exist prior to 2002, whereas today both medical and environmental research is funded globally. Key nanoparticle research began with pharmacology and therapeutic drug-delivery and contrasting agents, but the advances have found utility in the environmental research community. As evidence ultrafine aerosols and aquatic colloids research increased 6-fold, indicating a new emphasis on environmental nanotoxicology. User-directed expert elicitation from the engineering and chemical/ADME domains can be combined with appropriate Boolean logic and queries to define the corpus of nanoparticle interest. The study combined pharmacological expertise and informatics to identify the corpus by building logical conclusions and observations. Publication records informatics can lead to an enhanced understanding the connectivity between fields, as well as overcoming the differences in ontology between the fields. The National Exposure Resea

  20. Bridging the Gap between Scientific and Indigenous knowledge to Better Understand Social Impacts of Changing Rainfall Regimes

    Science.gov (United States)

    Lynch, A. H.; Joachim, L.; Zhu, X.; Hammer, C.; Harris, M.; Griggs, D.

    2011-12-01

    The Murray-Darling Basin incorporates Australia's three longest rivers and is important for an agricultural industry worth more than $9 billion per annum, a rich biodiversity of habitat and species, and the very life of its traditional owners. The complex and sometimes enigmatic relationships between modes of variability and Australian regional rainfall distribution means that reliable projections of future water availability remain highly uncertain. Persistent drought, with associated heat stress and high fire danger, and episodic flooding rains present further challenges. Indeed, recent extremes likely herald a tipping point for the communities and ecosystems that rely on the river system. The Barmah-Millewa region in the Murray-Darling Basin is the heart of Yorta Yorta Traditional Tribal Lands. The Yorta Yorta continue to assert their inherent rights to country and have shown through oral, documentary and material evidence, that their social, spiritual, economic and cultural links with country have never been broken. Current water policy and practice, highly contested community consultation processes, cross-border governance issues and a changing social landscape create in this region a microcosm for understanding the complex demands of economic, environmental and cultural security along the Murray-Darling Basin as the climate changes. New approaches to bridging the gap between scientific and Indigenous epistemologies have emerged in recent years, including for example ecosystem-based adaptation (Vignola et al. 2009) and the analysis of cultural water flows (Weir 2010). The potential for innovation using these approaches has informed a study that investigates how the deep knowledge of country of the Yorta Yorta people can be combined with state of the art climate science to develop a better understanding of the competing demands on water resources in the Barmah-Millewa region now and in the future. An important dimension of this collaborative work with the Yorta

  1. Development of a knowledge-based system for loop diagnosis

    International Nuclear Information System (INIS)

    Liao, L.Y.; Tang, H.C.; Chen, S.S.

    1987-01-01

    An accident diagnostic system is developed as an attempt to provide a useful aid for the operators of an experimental loop or a nuclear power plant in the case of emergency condition. Because the current practices in the system diagnosis are not satisfactory, there is an increasing demand on the establishment of various operator decision support systems. The knowledge based system is a new and promising technique which can be used to fulfill this demand. With the capability of automatic reasoning and by incorporating the information about system status, the knowledge based system can simulate the process of human thinking and serve as a good decision support system. This knowledge based decision support system can be helpful for both a fast, violent accident and a slowly developed accident. Specifically, a fast diagnostic report can be provided for a fast and violent accident of which time is the main concern and a complete diagnostic report can be provided for a slowly developed accident of which complexity is the main concern. Such a knowledge based decision support system also provides many other equally important advantages, such as the elimination of human error, the automatic validation of signal readings, the establishment of human error, the automatic validation of signal readings, and the establishment of a simulation environment

  2. Optimize knowledge uptake - employ a knowledge management system to drive principles to practice

    International Nuclear Information System (INIS)

    DeYoe, D.

    2009-01-01

    'Full text:' All too often the R&D community questions why good results based on sound science are not readily adopted by decision makers. We publish, hold conferences, even conduct workshops to engage policy developers and practitioners,who rarely show up. A closer look uncovers a common fault - although we may target decision makers we design information and tools to suit our interests, needs and/or standards then wonder why we end up always preaching to the converted. Are we missing the boat? In a word - yes! Employing the principles of knowledge transfer to infuse critical adaptive and/or mitigative strategies into policy and practice requires the right attitude, the right approach, the right tools and the right audience. The knowledge management cycle provides a framework that focuses on transfer of science principles or innovation into practice. It embodies the array of critical functions and activities inherent in a cycle that integrates knowledge generation, exchange and application. Knowledge exchange specialists play a pivotal role by helping translate technical knowledge into an appropriate suite of facts and figures well suited for consumption by decision makers. More importantly, they can facilitate adoption and the mainstream use of information and tools through collaborative efforts with knowledge application specialists in target organizations. This relationship can enable a knowledge management cycle that stimulates innovation and fosters informed decision making. Examples will be presented that describe what can happen when partners either fail to use, or succeed in using, a knowledge exchange system to manage projects in a manner that helps ensure inter-organizational collaboration. Examples include: a) a pilot study to demonstrate an emerging technology, b) striving for perfection in the face of ill-fated decisions, c) development of science-based policy and d) extension messaging at its best. (author)

  3. Advancing Knowledge and Practice to Systems Thinking to ...

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

    Advancing the application of systems thinking in health: understanding the growing complexity governing immunization services in Kerala, India. Articles de revue. Application of systems thinking in health : why use systems thinking? Articles de revue. Advancing the application of systems thinking in health : sustainability ...

  4. Relational dynamics in the multi-helices knowledge production system

    DEFF Research Database (Denmark)

    Thai, Thi Minh; Hjortsø, Carsten Nico Portefée

    in an emerging economy. Findings highlight the emergence of a fifth-helices knowledge production system includes the state, science and education, industry, international actors, and society. The system comprises two major segments, one associated with the traditional command economy and characterized......-level dynamics are characterized by political ambidexterity that enables the state to maintain control by privileging traditional science and education constituencies, and at the same time support the transition of the knowledge production system towards international methodology and quality standards through......Drawing on the triple helix framework and organizational institutionalism, this article applies a qualitative research approach to analyze structures, institutional logics, power relations that shape inter-organizational relations and the structuration of a knowledge production system...

  5. Traditional Knowledge of Western Herbal Medicine and Complex Systems Science.

    Science.gov (United States)

    Niemeyer, Kathryn; Bell, Iris R; Koithan, Mary

    2013-09-01

    Traditional knowledge of Western herbal medicine (WHM) supports experiential approaches to healing that have evolved over time. This is evident in the use of polyherb formulations comprised of crude plant parts, individually tailored to treat the cause of dysfunction and imbalance by addressing the whole person holistically. The challenge for WHM is to integrate science with traditional knowledge that is a foundation of the practice of WHM. The purpose of this paper is to provide a plausible theoretical hypothesis by applying complex systems science to WHM, illustrating how medicinal plants are complex, adaptive, environmentally interactive systems exhibiting synergy and nonlinear healing causality. This paper explores the conceptual congruence between medicinal plants and humans as complex systems coherently coupled through recurrent interaction. Complex systems science provides the theoretical tenets that explain traditional knowledge of medicinal plants while supporting clinical practice and expanding research and documentation of WHM.

  6. A real time knowledge-based alarm system EXTRA

    International Nuclear Information System (INIS)

    Ancelin, J.; Gaussot, J.P.; Legaud, P.

    1987-01-01

    EXTRA is an experimental expert system for industrial process control. The main objectives are the diagnosis and operation aids. From a methodological point of view, EXTRA is based on a deep knowledge of the plant operation and on qualitative simulation principles. The application concerns all the electric power and the Chemical and Volume Control System of a P.W.R. nuclear plant. The tests conducted on a full-scope simulator representative of the real plant yielded excellent results and taught the authors a number of lessons. The main lesson concerns the efficiency and flexibility provided by the combination of a knowledge-based system and of an advanced mini-computer

  7. [Information system in nursing: interacion of tacit-explicit knowledge].

    Science.gov (United States)

    dos Santos, Sérgio Ribeiro

    2005-01-01

    The present article aims to trace some theoretical and conceptual considerations on information systems in nursing, seeking to point out the knowledge based on the clinical practice evidences to construct a model of system integrated to the conceptual structures, formed by the combination of three sciences: information, computing and nursing. This knowledge can systematically describe and explain the necessary phenomena to develop a comprehensive information system that contribute for nursing records improvement and to consolidate a mechanism to provide basic measuring of costs, quality, patient access to care, and results of this care.

  8. Knowledge based systems advanced concepts, techniques and applications

    CERN Document Server

    1997-01-01

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

  9. [Knowledge management system for laboratory work and clinical decision support].

    Science.gov (United States)

    Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko

    2011-05-01

    This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.

  10. Knowledge-based machine vision systems for space station automation

    Science.gov (United States)

    Ranganath, Heggere S.; Chipman, Laure J.

    1989-01-01

    Computer vision techniques which have the potential for use on the space station and related applications are assessed. A knowledge-based vision system (expert vision system) and the development of a demonstration system for it are described. This system implements some of the capabilities that would be necessary in a machine vision system for the robot arm of the laboratory module in the space station. A Perceptics 9200e image processor, on a host VAXstation, was used to develop the demonstration system. In order to use realistic test images, photographs of actual space shuttle simulator panels were used. The system's capabilities of scene identification and scene matching are discussed.

  11. Eighth International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui; ISKE 2013; Foundations of Intelligent Systems; Knowledge Engineering and Management; Practical Applications of Intelligent Systems

    2014-01-01

    "Foundations of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Artificial Intelligence Theories, Pattern Recognition, Intelligent System Models, Speech Recognition, Computer Vision, Multi-Agent Systems, Machine Learning, Soft Computing and Fuzzy Systems, Biological Inspired Computation, Game Theory, Cognitive Systems and Information Processing, Computational Intelligence, etc. The proceedings are benefit for both researchers and practitioners who want to utilize intelligent methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University...

  12. Learning and Understanding System Stability Using Illustrative Dynamic Texture Examples

    Science.gov (United States)

    Liu, Huaping; Xiao, Wei; Zhao, Hongyan; Sun, Fuchun

    2014-01-01

    System stability is a basic concept in courses on dynamic system analysis and control for undergraduate students with computer science backgrounds. Typically, this was taught using a simple simulation example of an inverted pendulum. Unfortunately, many difficult issues arise in the learning and understanding of the concepts of stability,…

  13. Evaluating College Students' Conceptual Knowledge of Modern Physics: Test of Understanding on Concepts of Modern Physics (TUCO-MP)

    Science.gov (United States)

    Akarsu, Bayram

    2011-01-01

    In present paper, we propose a new diagnostic test to measure students' conceptual knowledge of principles of modern physics topics. Over few decades since born of physics education research (PER), many diagnostic instruments that measure students' conceptual understanding of various topics in physics, the earliest tests developed in PER are Force…

  14. Young Adults' Knowledge and Understanding of Personal Finance in Germany: Interviews with Experts and Test-Takers

    Science.gov (United States)

    Happ, Roland; Förster, Manuel; Rüspeler, Ann-Katrin; Rothweiler, Jasmin

    2018-01-01

    In recent years, the financial education of young adults has gained importance in Germany; however, very few valid test instruments to assess the knowledge and understanding of personal finance are suitable for use in Germany. In this article, we describe results of a survey in which experts in Germany in areas related to personal finance judged…

  15. Development, validation, and implementation of a questionnaire assessing disease knowledge and understanding in adult cystic fibrosis patients.

    LENUS (Irish Health Repository)

    Siklosi, Karen R

    2012-02-01

    BACKGROUND: The number of adults living with cystic fibrosis (CF) is increasing, necessitating an assessment of knowledge in this growing population. METHODS: A questionnaire assessing CF knowledge was completed by 100 CF patients (median age: 26.0 years, range 17-49 years; median FEV: 57.0% predicted, range 20-127% predicted). Level of knowledge was correlated with clinical and sociodemographic characteristics. RESULTS: Questionnaire validation showed acceptable internal consistency (alpha=0.75) and test-retest reliability (0.94). Patients had fair overall understanding of CF (mean=72.4%, SD=13.1), with greater knowledge of lung and gastrointestinal topics (mean=81.6%, SD=11.6) than reproduction and genetics topics (mean=57.9%, SD=24.1). Females and those with post-secondary education scored significantly higher (p<0.05). CONCLUSIONS: This study validated a questionnaire that can be utilized to assess CF knowledge. Although CF patients understand most aspects of their disease, knowledge deficits are common - particularly regarding genetics and reproduction - and should be considered when developing CF education programs.

  16. Understanding knowledge disclosure of bioscientists: more than a question of contextual and organizational ambidexterity?

    NARCIS (Netherlands)

    Leisyte, Liudvika

    2015-01-01

    This paper focuses the extent to which university scientists integrate scientific excellence and industry relevance in their knowledge disclosure. Universities are increasingly expected to be entrepreneurial and to fulfill the traditional missions of teaching and research and to transfer the

  17. Towards an Understanding of Information Technology Strategy Development Based on Knowledge Management

    Directory of Open Access Journals (Sweden)

    Paulo Henrique de Souza Bermejo

    2014-12-01

    Full Text Available http://dx.doi.org/10.5007/2175-8077.2014v16n40p139 The formulation of IT strategies is increasingly seen as a collaborative process, where knowledge management (KM and learning become central to building a shared view of how information technology (IT can support and extend business strategies. This article presents three interrelated components that support the application of KM to IT strategy development (actors and types of knowledge, knowledge conversion modes, and technological tools and artifacts. Through a longitudinal, qualitative case study, we illustrate strategies for applying these components. Faced with the importance of knowledge and collaboration to IT strategies, the results provide recommendations so that organizations can apply concepts and practices of KM processes in formulating IT strategies.

  18. Understanding information retrieval systems management, types, and standards

    CERN Document Server

    Bates, Marcia J

    2011-01-01

    In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of

  19. Understanding foreign language teachers' practical knowledge: What's the role of prior language learning experience?

    OpenAIRE

    Arıoğul, Sibel

    2007-01-01

    Teachers’ practical knowledge is considered as teachers’ general knowledge, beliefs and thinking (Borg, 2003) which can be traced in teachers’ practices (Connelly & Clandinin, 1988) and shaped by various background sources (Borg, 2003; Grossman, 1990; Meijer, Verloop, and Beijard, 1999). This paper initially discusses how language teachers are influenced by three background sources: teachers’ prior language learning experiences, prior teaching experience, and professional coursework in pr...

  20. 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.

  1. Understanding Patterns for System-of-Systems Integration

    DEFF Research Database (Denmark)

    Kazman, Rick; Nielsen, Claus Ballegård; Schmid, Klaus

    and interoperation among systems through some form of system integration. Previous work has approached the information system integration challenge in a generic way, not specific to a SoS context, or has provided only a limited range of solutions. This technical report discusses how an IT architect can address...... the SoS integration challenge from an architectural perspective; it also illustrates the breadth of potential solutions to the challenge through a categorization of SoS soft-ware architectural patterns. To demonstrate the practical relevance of this work, the authors instantiate this categorization...

  2. A Reasoning Algorithm Embedded in a Knowledge Management System

    Directory of Open Access Journals (Sweden)

    Vasile Mazilescu

    2015-09-01

    Full Text Available The importance of this paper consists of demonstrating the possibility of employing an expert Knowledge Management System (KMS in problems of process control and planning, using imprecise knowledge. It was necessary to continuously adapt known models (e.g. theory of possibilities, discrete event systems to synthesize a control structure based on fuzzy knowledge. We also tried to conceptually develop a multi-agent real control structure, which is a solution to meet a series of demands on the complexity of the process control. Such systems, especially those based on communication between agents by sharing memory, bring up features well suited for real-time applications, such as: integration of heterogeneous agents, interaction between activities of acquisition, reasoning and action on the external environment, fusion of data coming from sensors of different nature and operation, flexibility and efficiency in the integration of new data needed for reasoning, by simply writing them in the common memory.

  3. The role of conceptual knowledge in understanding synaesthesia: Evaluating contemporary findings from a ‘hub-and-spoke’ perspective

    Directory of Open Access Journals (Sweden)

    Rocco eChiou

    2014-02-01

    Full Text Available Synaesthesia is a phenomenon in which stimulation in one sensory modality triggers involuntary experiences typically not associated with that stimulation. Inducing stimuli (inducers and synaesthetic experiences (concurrents may occur within the same modality (e.g., seeing colours while reading achromatic text or span across different modalities (e.g., tasting flavours while listening to music. Although there has been considerable progress over the last decade in understanding the cognitive and neural mechanisms of synaesthesia, the focus of current neurocognitive models of synaesthesia does not encompass many crucial psychophysical characteristics documented in behavioural research. Prominent theories of the neurophysiological basis of synaesthesia construe it as a perceptual phenomenon and hence focus primarily on the modality-specific brain regions for perception. Many behavioural studies, however, suggest an essential role for conceptual-level information in synaesthesia. For example, there is evidence that synaesthetic experience arises subsequent to identification of an inducing stimulus, differs substantially from real perceptual events, can be akin to perceptual memory, and is susceptible to lexical/semantic contexts. These data suggest that neural mechanisms lying beyond the realm of the perceptual cortex (especially the visual system, such as regions subserving conceptual knowledge, may play pivotal roles in the neural architecture of synaesthesia. Here we discuss the significance of non-perceptual mechanisms that call for a re-evaluation of the emphasis on synaesthesia as a perceptual phenomenon. We also review recent studies which hint that some aspects of synaesthesia resemble our general conceptual knowledge for object attributes, at both psychophysical and neural level. We then present a conceptual-mediation model of synaesthesia in which the inducer and concurrent are linked within a conceptual-level representation. This

  4. Success or failure in knowledge management systems: a universal issue

    OpenAIRE

    Granados, M.; Coakes, E.; Amar, A.D.

    2013-01-01

    Part 1: IS Success and Failure; International audience; This paper takes a sociotechnical viewpoint of knowledge management system (KMS) implementation in organizations considering issues such as stakeholder disenfranchisement, lack of communication, and the low involvement of key personnel in system design asking whether KMS designers could learn from applying sociotechnical principles to their systems. The paper discusses design elements drawn from the sociotechnical principles essential fo...

  5. KBGIS-II: A knowledge-based geographic information system

    Science.gov (United States)

    Smith, Terence; Peuquet, Donna; Menon, Sudhakar; Agarwal, Pankaj

    1986-01-01

    The architecture and working of a recently implemented Knowledge-Based Geographic Information System (KBGIS-II), designed to satisfy several general criteria for the GIS, is described. The system has four major functions including query-answering, learning and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial object 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 performing all its designated tasks successfully. Future reports will relate performance characteristics of the system.

  6. Young Children's Knowledge About the Moon: A Complex Dynamic System

    Science.gov (United States)

    Venville, Grady J.; Louisell, Robert D.; Wilhelm, Jennifer A.

    2012-08-01

    The purpose of this research was to use a multidimensional theoretical framework to examine young children's knowledge about the Moon. The research was conducted in the interpretive paradigm and the design was a multiple case study of ten children between the ages of three and eight from the USA and Australia. A detailed, semi-structured interview was conducted with each child. In addition, each child's parents were interviewed to determine possible social and cultural influences on the child's knowledge. We sought evidence about how the social and cultural experiences of the children might have influenced the development of their ideas. From a cognitive perspective we were interested in whether the children's ideas were constructed in a theory like form or whether the knowledge was the result of gradual accumulation of fragments of isolated cultural information. Findings reflected the strong and complex relationship between individual children, their social and cultural milieu, and the way they construct ideas about the Moon and astronomy. Findings are presented around four themes including ontology, creatures and artefacts, animism, and permanence. The findings support a complex dynamic system view of students' knowledge that integrates the framework theory perspective and the knowledge in fragments perspective. An initial model of a complex dynamic system of young children's knowledge about the Moon is presented.

  7. Playing with partial knowledge in membrane systems: A logical approach

    DEFF Research Database (Denmark)

    Cavaliere, Matteo; Mardare, Radu Iulian

    2006-01-01

    M. Cavaliere, R. Mardare. Playing with partial knowledge in membrane systems: A logical approach. In Proc. of the seventh Workshop on Membrane Computing - At the Crossroads of Cell Biology and Computation (WMC2006), Lecture Notes in Computer Science 4361:279-297, Springer, 2006......M. Cavaliere, R. Mardare. Playing with partial knowledge in membrane systems: A logical approach. In Proc. of the seventh Workshop on Membrane Computing - At the Crossroads of Cell Biology and Computation (WMC2006), Lecture Notes in Computer Science 4361:279-297, Springer, 2006...

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

    Science.gov (United States)

    Roberts, Ros

    2016-01-01

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

  9. Limited Knowledge and Limited Resources: Children's and Adolescents' Understanding of the Internet

    Science.gov (United States)

    Yan, Zheng

    2009-01-01

    The Internet is a highly complex and newly emerged artifact. Building upon and going beyond two previous studies [Yan, Z. (2005). Age differences in children's understanding of complexity of the Internet. Journal of Applied Developmental Psychology, 26, 385-396.; Yan, Z. (2006). What influences children's and adolescents' understanding of the…

  10. How Do I Understand the Term Queer? Preservice Teachers, LGBTQ Knowledge, and LGBTQ Self-Efficacy

    Science.gov (United States)

    Brant, Cathy A. R.

    2017-01-01

    This article describes a study that investigated preservice teachers' understandings and self-efficacy related to lesbian, gay, bisexual, transgender, or queer (LGBTQ) students and families. The preservice teachers indicated a broad range of understandings in relation to LGBTQ terms. They reported a relatively high sense of self-efficacy in…

  11. Knowledge.

    Science.gov (United States)

    Online-Offline, 1999

    1999-01-01

    This theme issue on knowledge includes annotated listings of Web sites, CD-ROMs and computer software, videos, books, and additional resources that deal with knowledge and differences between how animals and humans learn. Sidebars discuss animal intelligence, learning proper behavior, and getting news from the Internet. (LRW)

  12. Understanding complex urban systems multidisciplinary approaches to modeling

    CERN Document Server

    Gurr, Jens; Schmidt, J

    2014-01-01

    Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood – let alone ‘managed’ – by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines. Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volum...

  13. 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.

  14. Advancing Capabilities for Understanding the Earth System Through Intelligent Systems, the NSF Perspective

    Science.gov (United States)

    Gil, Y.; Zanzerkia, E. E.; Munoz-Avila, H.

    2015-12-01

    The National Science Foundation (NSF) Directorate for Geosciences (GEO) and Directorate for Computer and Information Science (CISE) acknowledge the significant scientific challenges required to understand the fundamental processes of the Earth system, within the atmospheric and geospace, Earth, ocean and polar sciences, and across those boundaries. A broad view of the opportunities and directions for GEO are described in the report "Dynamic Earth: GEO imperative and Frontiers 2015-2020." Many of the aspects of geosciences research, highlighted both in this document and other community grand challenges, pose novel problems for researchers in intelligent systems. Geosciences research will require solutions for data-intensive science, advanced computational capabilities, and transformative concepts for visualizing, using, analyzing and understanding geo phenomena and data. Opportunities for the scientific community to engage in addressing these challenges are available and being developed through NSF's portfolio of investments and activities. The NSF-wide initiative, Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21), looks to accelerate research and education through new capabilities in data, computation, software and other aspects of cyberinfrastructure. EarthCube, a joint program between GEO and the Advanced Cyberinfrastructure Division, aims to create a well-connected and facile environment to share data and knowledge in an open, transparent, and inclusive manner, thus accelerating our ability to understand and predict the Earth system. EarthCube's mission opens an opportunity for collaborative research on novel information systems enhancing and supporting geosciences research efforts. NSF encourages true, collaborative partnerships between scientists in computer sciences and the geosciences to meet these challenges.

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

    Science.gov (United States)

    2014-01-01

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

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

    Science.gov (United States)

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

    2014-06-05

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

  17. A method for knowledge acquisition in diagnostic expert system.

    Science.gov (United States)

    Li, Weishi; Li, Aiping; Li, Shudong

    2015-01-01

    Knowledge acquisition plays very important role in the diagnostic expert system. It usually takes a long period to acquire disease knowledge using the traditional methods. To solve this problem, this paper describes relations between rough set theory and rule-based description of diseases, which corresponds to the process of knowledge acquisition of diagnostic expert system. Then the exclusive rules, inclusive rules and disease images of disease are built based on the PDES diagnosis model, and the definition of probability rule is put forward. At last, the paper presents the rule-based automated induction reasoning method, including exhaustive search, post-processing procedure, estimation for statistic test and the bootstrap and resampling methods. We also introduce automated induction of the rule-based description, which is used in our diseases diagnostic expert system. The experimental results not only show that rough set theory gives a very suitable framework to represent processes of uncertain knowledge extraction, but also that this method induces diagnostic rules correctly. This method can act as the assistant tool for development of diagnosis expert system, and has an extensive application in intelligent information systems.

  18. Understanding a High School Physics Teacher's Pedagogical Content Knowledge of Argumentation

    Science.gov (United States)

    Wang, Jianlan; Buck, Gayle A.

    2016-01-01

    Scientific argumentation is an important learning objective in science education. It is also an effective instructional approach to constructivist science learning. The implementation of argumentation in school settings requires science teachers, who are pivotal agents of transforming classroom practices, to develop sophisticated knowledge of…

  19. Deep Knowledge: Learning to Teach Science for Understanding and Equity. Teaching for Social Justice

    Science.gov (United States)

    Larkin, Douglas B.

    2013-01-01

    "Deep Knowledge" is a book about how people's ideas change as they learn to teach. Using the experiences of six middle and high school student teachers as they learn to teach science in diverse classrooms, Larkin explores how their work changes the way they think about students, society, schools, and science itself. Through engaging case stories,…

  20. Children's understanding of the Earth in a multicultural community: Mental models or fragments of knowledge?

    Science.gov (United States)

    Nobes, G.; Moore, D. G.; Martin, A. E.; Clifford, B. R.; Butterworth, G.; Panagiotaki, G.; Siegal, M.

    Asian and white British students ages 4-8 (N=167) were asked to select an earth from a set of plastic models and then respond to forced-choice questions. There were no significant differences in performance after accounting for language differences. Evidence suggests that children hold fragmentary knowledge rather than mental models, as suggested by previous researchers.

  1. Understanding and Promoting Thinking about Knowledge: Origins, Issues, and Future Directions of Research on Epistemic Cognition

    Science.gov (United States)

    Sandoval, William A.; Greene, Jeffrey A.; Bråten, Ivar

    2016-01-01

    Epistemic cognition is the thinking that people do about what and how they know. Education has long been concerned with promoting reflection on knowledge and processes of knowing, but research into epistemic cognition began really in the past half century, with a tremendous expansion in the past 20 years. This review summarizes the broad range of…

  2. Propositional integration and world-knowledge inference: Processes in understanding because sentences

    NARCIS (Netherlands)

    Cozijn, R.; Noordman, L.G.M.; Vonk, W.

    2011-01-01

    he issue addressed in this study is whether propositional integration and world-knowledge inference can be distinguished as separate processes during the comprehension of Dutch omdat (because) sentences. “Propositional integration” refers to the process by which the reader establishes the type of

  3. Reading for Deep Understanding: Knowledge Building and Conceptual Artifacts in Secondary English

    Science.gov (United States)

    Nachowitz, Marc

    2012-01-01

    The purpose of this design-based experiment is two-fold: to see if classroom pedagogies can be developed to improve student achievement in English literature as well as prepare them for 21st Century literacies. Applying Bereiter and Scardamalia's theory of Knowledge Building to English curricula, this experiment tracked the progress of a…

  4. Linking hunter knowledge with forest change to understand changing deer harvest opportunities in intensively logged landscapes

    Science.gov (United States)

    Tidd J. Brinkman; Terry Chapin; Gary Kofinas; David K. Person

    2009-01-01

    The effects of landscape changes caused by intensive logging on the availability of wild game are important when the harvest of wild game is a critical cultural practice, food source, and recreational activity. We assessed the influence of extensive industrial logging on the availability of wild game by drawing on local knowledge and ecological science to evaluate the...

  5. Developing Conceptual Understanding of Natural Selection: The Role of Interest, Efficacy, and Basic Prior Knowledge

    Science.gov (United States)

    Linnenbrink-Garcia, Lisa; Pugh, Kevin J.; Koskey, Kristin L. K.; Stewart, Victoria C.

    2012-01-01

    Changes in high school students' (n = 94) conceptions of natural selection were examined as a function of motivational beliefs (individual interest, academic self-efficacy), basic prior knowledge, and gender across three assessments (pre, post, follow-up). Results from variable-centered analyses suggested that these variables had relatively little…

  6. Understanding Knowledge Sharing between IT Professionals--An Integration of Social Cognitive and Social Exchange Theory

    Science.gov (United States)

    Tsai, Ming-Tien; Cheng, Nai-Chang

    2012-01-01

    The research includes various constructs based on social exchange theory and social cognitive theory. This study mainly explored the relationships among organisational justice, trust, commitment and knowledge-sharing cognition and verified their mediating effects through two variables of trust and commitment. A survey utilising a questionnaire was…

  7. Research on the status of acceptance of Fukushima nuclear power accidents and the understanding of knowledge for college students

    International Nuclear Information System (INIS)

    Wang Yilong; Liao Li; He Xu

    2012-01-01

    Objective To investigate the connection between the understanding of basic knowledge of nuclear power and whether to accept the changes in attitude with Fukushima nuclear accidents for college students who were education in public. Methods 3000 questionnaires were distributed for college students by anonymity before and after the accident in the Fukushima nuclear power plant, respectively. Results the results of investigation showed that Fukushima nuclear accidents have influenced on the mental of college students, there significant differences between the two investigations. Conclusion college students have a little knowledge of nuclear power, it is necessary to strengthen publicity and education efforts for college students. (authors)

  8. Understanding Knowledge Sharing Behavior: An Examination of the Extended Model of Theory of Planned Behavior

    Directory of Open Access Journals (Sweden)

    Sabrina O. Sihombing

    2011-03-01

    Full Text Available Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Knowledge is recognized as one valuable asset for many organizations. Thus, knowledge-sharing is one of important activities in many organizations, including university. Knowledge sharing is defined as activities of transferring or disseminating organizationally relevant information, ideas, suggestions, and expertise with one another. This research applied Christian values as a moderating variable in the framework of theory of planned behavior. The aims of this research to assess applicability of the theory of planned behavior to predict knowledge sharing and to examine the effects of Christian values in the relationship between attitude and intention to share knowledge. A self-administered questionnaire was used to collect the data for this study. The data was then analyzed using structural equation modeling. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

  9. Regional knowledge economy development indicative planning system conceptual model

    Directory of Open Access Journals (Sweden)

    Elena Davidovna Vaisman

    2012-12-01

    Full Text Available The subject of the research is the processes of Russian knowledge economy development, its progress on the regional level is taken as a theme, which determined the purpose of research: development of the regional knowledge economy development indicative planning method conceptual model. The methodological base of the research is the knowledge economy concept and supply and demand theory, the methods of comparative and system analysis and theoretical modeling; common generalization and classification methods and regression models are used in the work. As a result, we managed to create the regional knowledge economy development indicative planning method conceptual model, which includes the choice of the types of indicative plans and the justification for the complex of indicators according to the stated requirements to this complex. The model of supply and demand for knowledge dependency from the knowledge cost, allowing to determine the acceptable range for the indicators proceeding from the demand and supply levels and their interrelation, is developed. The obtained results may be used by the regional government authorities while planning the regional innovative development and consulting companies while making the proposals for this development

  10. Towards a systems understanding of plant-microbe interactions

    Directory of Open Access Journals (Sweden)

    Akira eMine

    2014-08-01

    Full Text Available Plants are closely associated with microorganisms including pathogens and mutualists that influence plant fitness. Molecular genetic approaches have uncovered a number of signaling components from both plants and microbes and their mode of actions. However, signaling pathways are highly interconnected and influenced by diverse sets of environmental factors. Therefore, it is important to have systems views in order to understand the true nature of plant-microbe interactions. Indeed, systems biology approaches have revealed previously overlooked or misinterpreted properties of the plant immune signaling network. Experimental reconstruction of biological networks using exhaustive combinatorial mutants is particularly powerful to elucidate network structure and properties and relationships among network components. Recent advances in metagenomics of microbial communities associated with plants further point to the importance of systems approaches and open a research area of microbial community reconstruction. In this review, we highlight the importance of a systems understanding of plant-microbe interactions, with a special emphasis on reconstruction strategies.

  11. Scaffolding students' understanding of force in pulley systems

    Science.gov (United States)

    Rouinfar, Amy; Madsen, Adrian M.; Hoang, Tram Do Ngoc; Puntambekar, Sadhana; Rebello, N. Sanjay

    2013-01-01

    Recent research results have found that students using virtual manipulatives perform as well or better on measures of conceptual understanding than their peers who used physical equipment. We report on a study with students in a conceptual physics laboratory using either physical or virtual manipulatives to investigate forces in pulley systems. Written materials guided students through a sequence of activities designed to scaffold their understanding of force in pulley systems. The activity sequences facilitated students' sense making by requiring them to make and test predictions about various pulley systems by building and comparing different systems. We investigate the ways in which students discuss force while navigating the scaffolding activities and how these discussions compare between the physical and virtual treatments.

  12. Local Conceptualisation of Nature, Forest Knowledge Systems and ...

    African Journals Online (AJOL)

    The results show that the concept of nature is well embedded in the social representation of the vital space of the people of the study area. Three forest management knowledge systems were derived from this concept of nature that combines the space, the time, the supernatural and the distance between forests and its ...

  13. Indigenous culture as a knowledge system | du Plessis | Tydskrif vir ...

    African Journals Online (AJOL)

    Complex concepts such as cultural identity, gender issues and the effects of colonialism, politics, and power structures on societies form part of the debate around indigenous culture as a knowledge system. This article makes a contribution to the debate by addressing cultural issues encountered during a cross-cultural ...

  14. Use of Indigenous Knowledge Systems and Scientific Methods for ...

    African Journals Online (AJOL)

    The indicators conflict in some seasons and in such cases the farmers resort to using those that they know to have stronger signals from their reliability factors. Positive relationship between indigenous knowledge systems and modern science were observed between the 2008/9 season and 2009/10 which confirms that ...

  15. Voice knowledge acquisition system for the management of cultural heritage

    Science.gov (United States)

    Du Château, Stefan; Boulanger, Danielle; Mercier-Laurent, Eunika

    This document presents our work on a definition and experimentation of a voice interface for cultural heritage inventory. This hybrid system includes signal processing, natural language techniques and knowledge modeling for future retrieval. We discuss the first results and give some points on future work.

  16. User interaction with legal knowledge-based systems

    NARCIS (Netherlands)

    Dijkstra, Jacob; Breuker, J.; Leenes, R.; Winkels, R.

    2000-01-01

    This paper gives an overview of my PhD study into the persuasiveness of (legal) knowledge-based systems'. The results of three experiments show the possible problems that may arise when computerised legal decision aids are put into practice. The users in the experiments had great difficulties with

  17. Development of Web-Based System for Knowledge Warehousing ...

    African Journals Online (AJOL)

    A software engine for the mining, processing, periodic update of the knowledge warehouse and statistical analysis of findings was developed as well. The system is meant to serve as a platform for testing and measurement of the Strength, Weakness Opportunity and Threat (SWOT) of Nigerian tertiary institutions with a view ...

  18. Indigenous African knowledge systems and innovation in higher ...

    African Journals Online (AJOL)

    Indigenous African knowledge systems and innovation in higher education in South Africa. P Higgs, LG Higgs, E Venter. Abstract. The importance of innovation in higher education is recognised in South African educational discourse. The South African White Paper on Science and Technology, issued in September 1996 ...

  19. Role of indigenous knowledge systems in the conservation of the ...

    African Journals Online (AJOL)

    D0MINICS

    The indigenous knowledge systems are a significant resource which would contribute to the increased efficiency, effectiveness and sustainability in environmental conservation among rural communities of developing countries in particular. They form the basis for community-level decision making in areas pertaining to food ...

  20. A framework of knowledge creation processes in participatory simulation of hospital work systems.

    Science.gov (United States)

    Andersen, Simone Nyholm; Broberg, Ole

    2017-04-01

    Participatory simulation (PS) is a method to involve workers in simulating and designing their own future work system. Existing PS studies have focused on analysing the outcome, and minimal attention has been devoted to the process of creating this outcome. In order to study this process, we suggest applying a knowledge creation perspective. The aim of this study was to develop a framework describing the process of how ergonomics knowledge is created in PS. Video recordings from three projects applying PS of hospital work systems constituted the foundation of process mining analysis. The analysis resulted in a framework revealing the sources of ergonomics knowledge creation as sequential relationships between the activities of simulation participants sharing work experiences; experimenting with scenarios; and reflecting on ergonomics consequences. We argue that this framework reveals the hidden steps of PS that are essential when planning and facilitating PS that aims at designing work systems. Practitioner Summary: When facilitating participatory simulation (PS) in work system design, achieving an understanding of the PS process is essential. By applying a knowledge creation perspective and process mining, we investigated the knowledge-creating activities constituting the PS process. The analysis resulted in a framework of the knowledge-creating process in PS.

  1. Development of educational system for nuclear power plant operators using knowledge processing techniques

    International Nuclear Information System (INIS)

    Yoshimura, Seiichi

    1990-01-01

    It is important to carry out effective education optimally adapted to the operator's knowledge level for the enhancement of the operator's ability to deal with abnormal situations. This paper outlines the educational system that realizes effective education using knowledge-processing techniques. This system is composed of three devices. One is a knowledge-processing computer that evaluates the operator's knowledge level and presents educational materials optimally adapted to his knowledge level. Another is a computer for displaying transients and plant equipments. The other is a computer for voice input and output. The educational materials utilize cause-and-effect relationships. It is possible to perform effective education by pointing out the parts the operator failed to understand using the relationships. An evaluation test was performed using several tens of operators by actually operating the system and then impressions were gathered by questionnaire. As a result, the cause-and-effect relationships were proved to be useful to understand the transients. And the contents of the educational materials and the display pictures were also deemed to have practical value. (author)

  2. An Expert System toward Buiding An Earth Science Knowledge Graph

    Science.gov (United States)

    Zhang, J.; Duan, X.; Ramachandran, R.; Lee, T. J.; Bao, Q.; Gatlin, P. N.; Maskey, M.

    2017-12-01

    In this ongoing work, we aim to build foundations of Cognitive Computing for Earth Science research. The goal of our project is to develop an end-to-end automated methodology for incrementally constructing Knowledge Graphs for Earth Science (KG4ES). These knowledge graphs can then serve as the foundational components for building cognitive systems in Earth science, enabling researchers to uncover new patterns and hypotheses that are virtually impossible to identify today. In addition, this research focuses on developing mining algorithms needed to exploit these constructed knowledge graphs. As such, these graphs will free knowledge from publications that are generated in a very linear, deterministic manner, and structure knowledge in a way that users can both interact and connect with relevant pieces of information. Our major contributions are two-fold. First, we have developed an end-to-end methodology for constructing Knowledge Graphs for Earth Science (KG4ES) using existing corpus of journal papers and reports. One of the key challenges in any machine learning, especially deep learning applications, is the need for robust and large training datasets. We have developed techniques capable of automatically retraining models and incrementally building and updating KG4ES, based on ever evolving training data. We also adopt the evaluation instrument based on common research methodologies used in Earth science research, especially in Atmospheric Science. Second, we have developed an algorithm to infer new knowledge that can exploit the constructed KG4ES. In more detail, we have developed a network prediction algorithm aiming to explore and predict possible new connections in the KG4ES and aid in new knowledge discovery.

  3. Database management systems understanding and applying database technology

    CERN Document Server

    Gorman, Michael M

    1991-01-01

    Database Management Systems: Understanding and Applying Database Technology focuses on the processes, methodologies, techniques, and approaches involved in database management systems (DBMSs).The book first takes a look at ANSI database standards and DBMS applications and components. Discussion focus on application components and DBMS components, implementing the dynamic relationship application, problems and benefits of dynamic relationship DBMSs, nature of a dynamic relationship application, ANSI/NDL, and DBMS standards. The manuscript then ponders on logical database, interrogation, and phy

  4. 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

  5. Virtual Solar System Project: Building Understanding through Model Building.

    Science.gov (United States)

    Barab, Sasha A.; Hay, Kenneth E.; Barnett, Michael; Keating, Thomas

    2000-01-01

    Describes an introductory astronomy course for undergraduate students in which students use three-dimensional (3-D) modeling tools to model the solar system and develop rich understandings of astronomical phenomena. Indicates that 3-D modeling can be used effectively in regular undergraduate university courses as a tool to develop understandings…

  6. Understanding Learner Agency as a Complex Dynamic System

    Science.gov (United States)

    Mercer, Sarah

    2011-01-01

    This paper attempts to contribute to a fuller understanding of the nature of language learner agency by considering it as a complex dynamic system. The purpose of the study was to explore detailed situated data to examine to what extent it is feasible to view learner agency through the lens of complexity theory. Data were generated through a…

  7. Requirements driven knowledge system design for product development

    OpenAIRE

    Zhang, Pengcheng; Gao, James

    2010-01-01

    This paper describes a methodology for the design and development of a knowledge management (KM) system for manufacturing enterprises based on enterprise architecture methodologies with real industrial case studies. Enterprise Architecture Frameworks (EAF) have been proposed and developed to help enterprises design their information systems based on corporate objectives and user requirements. However, these frameworks have not given sufficient consideration of how to manage enterprise knowled...

  8. Contribution to the meaning and understanding of anticipatory systems

    Science.gov (United States)

    Kljajić, Miroljub

    2001-06-01

    The present article discusses the cybernetic method in the modelling and understanding of complex systems from the epistemological, semantic as well as psychological point of view. Biological and organisational systems are the most important among complex systems. According to Rosen [1] anticipatory systems is another name for complex systems because, in a way, they function to anticipate the future state in order to preserve its structure and functioning. This paper demonstrates a strong analogy between Rosen's modified definition of anticipatory systems [2] and decision-making through simulation in organisational systems. The possible meaning of several models modified in the anticipatory mode will also be discussed as for example: a) The modified Verhaulst Model and its anticipatory modification in the case of the description of human behavior, b) The Prey-Predator Model, and c) The Evans Market Model under different conditions of the demand and supply function.

  9. Knowledge Workers, Identities, and Communication Practices: Understanding Code Farmers in China

    Directory of Open Access Journals (Sweden)

    Sophie Sun Ping

    2016-05-01

    Full Text Available Extending the concept of “knowledge workers”, this paper studies the identity dynamics of IT programmers from small companies in China. Through the discursive analysis of programmers’ personal memoirs (collected via personal interviews and online ethnography, four themes of identity dynamics emerge: IT programmers demonstrate identification with professionalism and technology; they naturalize the high mobility and internal precarity of their work via discourses of the self and social improvement; the term manong (“code monkey” or “code farmer” in English is used to support a sense of selfhood amidst high pressure schedules and “panoptic control”; the disparaging term diaosi (“loser” in English is appropriated in order to activate a sense of self-expression and collective resistance regarding the programmers’ working and living conditions. These four themes are integrated into: 1 hegemonic discourses of economic development and technical innovation; and 2 the processes of individualization among IT programmers on a global scale. Our findings suggest that being a knowledge worker means not only to provide professional expertise, communication, creativity and knowledge, it also interrogates questions of survival, struggle, and solidarity.

  10. Understanding barriers to organized breast cancer screening in France: women's perceptions, attitudes, and knowledge.

    Science.gov (United States)

    Ferrat, Emilie; Le Breton, Julien; Djassibel, Memtolom; Veerabudun, Kalaivani; Brixi, Zahida; Attali, Claude; Renard, Vincent

    2013-08-01

    The participation rate in organized breast cancer screening in France is lower than recommended. Non-participants either use opportunistic screening or do not use either screening modality. To assess any differences in perceptions, attitudes and knowledge related to breast cancer screening between users of opportunistic screening and non-users of any screening mammograms and to identify potential barriers to participation in organized screening. Six focus groups were conducted in May 2010 with 34 French non-participants in organized screening, 15 who used opportunistic screening (OpS group) and 19 who used no screening (NoS group). The guide used for both groups explored perceptions and attitudes related to health, cancer and screening; perceptions of femininity; and knowledge about breast cancer screening. Thematic content analysis was performed. Perceptions, attitudes and knowledge differed between the two groups. Women in the OpS group perceived a high susceptibility to breast cancer, visited their gynaecologist regularly, were unfamiliar with organized screening modalities and had doubts about its quality. NoS women had very high- or low-perceived susceptibility to breast cancer, knew about screening modalities, had doubts about its usefulness and expressed negative opinions of mammograms. Differences in perceptions and attitudes related to breast cancer screening partially explain why some women choose opportunistic screening or no screening. General practitioners and gynaecologists are in a unique position to provide individually tailored preventative messages to improve participation in organized screening.

  11. Building HVAC control knowledge data schema – Towards a unified representation of control system knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Yan; Treado, Stephen J.; Messner, John I.

    2016-12-01

    Building control systems for Heating, Ventilation, and Air Conditioning (HVAC) play a key role in realizing the functionality and operation of building systems and components. Building Control Knowledge (BCK) is the logic and algorithms embedded throughout building control system. There are different methods to represent the BCK. These methods differ in the selection of BCK representing elements and the format of those elements. There is a lack of standard data schema, for storing, retrieving, and reusing structured BCK. In this study, a modular data schema is created for BCK representation. The data schema contains eleven representing elements, i.e., control module name, operation mode, system schematic, control flow diagram, data point, alarm, parameter, control sequence, function, and programming code. Each element is defined with specific attributes. This data schema is evaluated through a case study demonstration. The demonstration shows a new way to represent the BCK with standard formats.

  12. The potential of knowledge based systems in nuclear installations

    International Nuclear Information System (INIS)

    1993-04-01

    The integration of the knowledge based systems (KBS) with processes is a new challenge for artificial intelligence developments. Integration requires improved robustness of the KBS, using methodologies which cater for building well structured, modular applications, and for verification and validation. The following key points related to KBS development were discussed during the meeting: state of the art in knowledge representation and reasoning; methods for building KBS; tools and computers used for building and implementing KBS; requirements for verification and validation; communication between KBS and the process, and between the KBS and the operators. 9 papers were presented by participants. A separate abstract was prepared for each of the papers. Refs and figs

  13. Improved semantic interoperability for content reuse through knowledge organization systems

    Directory of Open Access Journals (Sweden)

    José Antonio Moreiro González

    2012-04-01

    Full Text Available The Knowledge Organization Systems (KOS are resources designed to improve the knowledge interoperability, management and retrieval. As increases the web resources, it’s evidenced the lack of KOS, with the consequent impact in the resources interoperability. The KOSS are, by definition, complicated and costly tools, so much in his creation as in his management. The reuse of similar organizational structures is a necessary element in this context. They analyses experiences of reuse of The KOS and signals like the new standards are impinged on this appearance.

  14. Understanding energy technology developments from an innovation system perspective

    Energy Technology Data Exchange (ETDEWEB)

    Borup, M.; Nygaard Madsen, A. [Risoe National Lab., DTU, Systems Analysis Dept., Roskilde (Denmark); Gregersen, Birgitte [Aalborg Univ., Department of Business Studies (Denmark)

    2007-05-15

    With the increased market-orientation and privatisation of the energy area, the perspective of innovation is becoming more and more relevant for understanding the dynamics of change and technology development in the area. A better understanding of the systemic and complex processes of innovation is needed. This paper presents an innovation systems analysis of new and emerging energy technologies in Denmark. The study focuses on five technology areas: bio fuels, hydrogen technology, wind energy, solar cells and energy-efficient end-use technologies. The main result of the analysis is that the technology areas are quite diverse in a number of innovation-relevant issues like actor set-up, institutional structure, maturity, and connections between market and non-market aspects. The paper constitutes background for discussing the framework conditions for transition to sustainable energy technologies and strengths and weaknesses of the innovation systems. (au)

  15. Understanding complex urban systems integrating multidisciplinary data in urban models

    CERN Document Server

    Gebetsroither-Geringer, Ernst; Atun, Funda; Werner, Liss

    2016-01-01

    This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers—including municipal politicians, spatial planners, and citizen groups—in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches—and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Age...

  16. Leveraging medical taxonomies to improve knowledge management within online communities of practice: The knowledge maps system.

    Science.gov (United States)

    Stewart, Samuel Alan; Abidi, Syed Sibte Raza

    2017-05-01

    Online communities of practice contain a wealth of information, stored in the free text of shared communications between community members. The Knowledge Maps (KMaps) system is designed to facilitate Knowledge Translation in online communities through multi-level analyses of the shared messages of these communications. Using state-of-the-art semantic mapping technologies (Metamap) the contents of the messages shared within an online community are mapped to terms from the MeSH medical lexicon, providing a multi-level topic-specific summary of the knowledge being shared within the community. Using the inherent hierarchical structure of the lexicon important insights can be found within the community. The KMaps system was applied to two medical mailing lists, the PPML (archives from 2009-02 to 2013-02) and SURGINET (archives from 2012-01 to 2013-04), identifying 27,924 and 50,597 medical terms respectively. KMaps identified content areas where both communities found interest, specifically around Diseases, 22% and 24% of the total terms, while also identifying field-specific areas that were more popular: SURGINET expressed an interest in Anatomy (14% vs 4%) while the PPML was more interested in Drugs (19% vs 9%). At the level of the individual KMaps identified 6 PPML users and 9 SURGINET users that had noticeably more contributions to the community than their peers, and investigated their personal areas of interest. The KMaps system provides valuable insights into the structure of both communities, identifying topics of interest/shared content areas and defining content-profiles for individual community members. The system provides a valuable addition to the online KT process. Copyright © 2017 Elsevier B.V. All rights reserved.

  17. Improving knowledge management systems with latent semantic analysis

    International Nuclear Information System (INIS)

    Sebok, A.; Plott, C.; LaVoie, N.

    2006-01-01

    Latent Semantic Analysis (LSA) offers a technique for improving lessons learned and knowledge management systems. These systems are expected to become more widely used in the nuclear industry, as experienced personnel leave and are replaced by younger, less-experienced workers. LSA is a machine learning technology that allows searching of text based on meaning rather than predefined keywords or categories. Users can enter and retrieve data using their own words, rather than relying on constrained language lists or navigating an artificially structured database. LSA-based tools can greatly enhance the usability and usefulness of knowledge management systems and thus provide a valuable tool to assist nuclear industry personnel in gathering and transferring worker expertise. (authors)

  18. Nonparametric Statistical Structuring of Knowledge Systems Using Binary Feature Matches

    DEFF Research Database (Denmark)

    Mørup, Morten; Kano Glückstad, Fumiko; Herlau, Tue

    2014-01-01

    Structuring knowledge systems with binary features is often based on imposing a similarity measure and clustering objects according to this similarity. Unfortunately, such analyses can be heavily influenced by the choice of similarity measure. Furthermore, it is unclear at which level clusters have...... statistical support and how this approach generalizes to the structuring and alignment of knowledge systems. We propose a non-parametric Bayesian generative model for structuring binary feature data that does not depend on a specific choice of similarity measure. We jointly model all combinations of binary...... matches and structure the data into groups at the level in which they have statistical support. The model naturally extends to structuring and aligning an arbitrary number of systems. We analyze three datasets on educational concepts and their features and demonstrate how the proposed model can both...

  19. Nonparametric statistical structuring of knowledge systems using binary feature matches

    DEFF Research Database (Denmark)

    Mørup, Morten; Glückstad, Fumiko Kano; Herlau, Tue

    2014-01-01

    Structuring knowledge systems with binary features is often based on imposing a similarity measure and clustering objects according to this similarity. Unfortunately, such analyses can be heavily influenced by the choice of similarity measure. Furthermore, it is unclear at which level clusters have...... statistical support and how this approach generalizes to the structuring and alignment of knowledge systems. We propose a non-parametric Bayesian generative model for structuring binary feature data that does not depend on a specific choice of similarity measure. We jointly model all combinations of binary...... matches and structure the data into groups at the level in which they have statistical support. The model naturally extends to structuring and aligning an arbitrary number of systems. We analyze three datasets on educational concepts and their features and demonstrate how the proposed model can both...

  20. Knowledge-based system for flight information management. Thesis

    Science.gov (United States)

    Ricks, Wendell R.

    1990-01-01

    The use of knowledge-based system (KBS) architectures to manage information on the primary flight display (PFD) of commercial aircraft is described. The PFD information management strategy used tailored the information on the PFD to the tasks the pilot performed. The KBS design and implementation of the task-tailored PFD information management application is described. The knowledge acquisition and subsequent system design of a flight-phase-detection KBS is also described. The flight-phase output of this KBS was used as input to the task-tailored PFD information management KBS. The implementation and integration of this KBS with existing aircraft systems and the other KBS is described. The flight tests are examined of both KBS's, collectively called the Task-Tailored Flight Information Manager (TTFIM), which verified their implementation and integration, and validated the software engineering advantages of the KBS approach in an operational environment.

  1. Design of Knowledge Management System for Diabetic Complication Diseases

    Science.gov (United States)

    Fiarni, Cut

    2017-01-01

    This paper examines how to develop a Model for Knowledge Management System (KMS) for diabetes complication diseases. People with diabetes have a higher risk of developing a series of serious health problems. Each patient has different condition that could lead to different disease and health problem. But, with the right information, patient could have early detection so the health risk could be minimized and avoided. Hence, the objective of this research is to propose a conceptual framework that integrates social network model, Knowledge Management activities, and content based reasoning (CBR) for designing such a diabetes health and complication disease KMS. The framework indicates that the critical knowledge management activities are in the process to find similar case and the index table for algorithm to fit the framework for the social media. With this framework, KMS developers can work with healthcare provider to easily identify the suitable IT associated with the CBR process when developing a diabetes KMS.

  2. Public understandings of nature: a case study of local knowledge about "natural" forest conditions

    Science.gov (United States)

    R. Bruce Hull; David P. Robertson; Angelina Kendra

    2001-01-01

    This study is intended to serve as an explicit and specific example of the social construction of nature. It is motivated by the need to develop a more sophisticated language for a critical public dialogue about society's relationship with nature. We conducted a case study of environmental discourse in one local population in hopes of better understanding how a...

  3. Assessing Teachers' Science Content Knowledge: A Strategy for Assessing Depth of Understanding

    Science.gov (United States)

    McConnell, Tom J.; Parker, Joyce M.; Eberhardt, Jan

    2013-01-01

    One of the characteristics of effective science teachers is a deep understanding of science concepts. The ability to identify, explain and apply concepts is critical in designing, delivering and assessing instruction. Because some teachers have not completed extensive courses in some areas of science, especially in middle and elementary grades,…

  4. Aesthetic Understanding as Informed Experience: The Role of Knowledge in Our Art Viewing Experiences

    Science.gov (United States)

    Lachapelle, Richard; Murray, Deborah; Neim, Sandy

    2003-01-01

    A common misconception about the nature of art and of aesthetic appreciation is that these activities are essentially a question of "feeling," as if tuning in to the right feeling will automatically lead to a full understanding of the work of art. Another widespread misunderstanding essentially reduces art viewing to a simple question of…

  5. Beyond Learning Management Systems: Designing for Interprofessional Knowledge Building in the Health Sciences

    Directory of Open Access Journals (Sweden)

    Leila Lax

    2010-12-01

    Full Text Available This paper examines theoretical, pedagogical, and technological differences between two technologies that have been used in undergraduate interprofessional health sciences at the University of Toronto. One, a learning management system, WebCT 2.0, supports online coursework. The other, a Knowledge Building environment, Knowledge Forum 2.0, supports the collaborative work of knowledge-creating communities. Seventy students from six health science programs (Dentistry, Medicine, Nursing, Occupational Therapy, Pharmacy and Physical Therapy participated online in a 5-day initiative to advance understanding of core principles and professional roles in pain assessment and management. Knowledge Forum functioned well as a learning management system but to preserve comparability between the two technologies its full resources were not brought into play. In this paper we examine three distinctive affordances of Knowledge Forum that have implications for health sciences education: (1 supports for Knowledge Building discourse as distinct from standard threaded discourse; (2 integration of sociocognitive functions as distinct from an assortment of separate tools; and (3 resources for multidimensional social and cognitive assessment that go beyond common participation indicators and instructor-designed quizzes and analyses. We argue that these design characteristics have the potential to open educational pathways that traditional learning management systems leave closed.

  6. The value of a combined word recognition and knowledge measure to understand characteristics of our patients' oral health literacy.

    Science.gov (United States)

    Atchison, Kathryn A; Macek, Mark D; Markovic, Daniela

    2017-08-01

    The objective of the analysis was to examine the association between sociodemographic and dental understanding and utilization characteristics and lower oral health literacy (HL) and knowledge. The cross-sectional Multicenter Oral Health Literacy Research Study (MOHLRS) recruited and interviewed 923 English-speaking, initial care-seeking adults. The questionnaire included participant sociodemographic characteristics, measures of the participant's understanding and utilization of dentistry, and two oral HL measures, the Rapid Estimate of Adult Literacy in Medicine and Dentistry (REALM-D) and the Comprehensive Measure of Oral Health Knowledge (CMOHK), which were combined into a new composite HL and knowledge measure, the MOHLR-K. In adjusted multivariable analysis, persons who reported more understanding of dentist instructions had higher mean scores for all HL measures. Subjects reporting the highest level of understanding had greater scores by an average of 1.6 points for the MOHLR-K (95% CI: 0.85-2.40, Pdental understanding and utilization factors. Persons who reported history of tooth decay had higher MOHLR-K scores by an average of about 0.77 points (95% CI: 0.49-1.04, Ptooth decay history after controlling for the other factors. Persons who had support all of the time for travel to the dentist had higher scores by an average of about 0.5 points for the MOHLR-K (95% CI: 0.04-0.96, P=.03) and about 0.89 points for the REALMD-20 (95% CI: 0-1.79, P=.05) as compared to subjects with no support after controlling for other factors. Report of periodontal history, financial challenges to delay a dental visit and dental utilization were not significantly associated with any of the HL measures once the other factors were adjusted for in the model. The analysis confirmed that pronunciation of medical and dental terms may not fully reflect comprehension and revealed that understanding both patients' sociodemographic and dental understanding and utilization factors, such as

  7. Knowledge Building Conceptualisation within Smart Constructivist Learning Systems

    DEFF Research Database (Denmark)

    Badie, Farshad

    2017-01-01

    This chapter focuses on the meeting of Constructivism (as a learning theory) and Smart Learning and, thus, theorises Smart Constructivist Learning. The main field of research is Smart Learning Environments. Relying on the phenomena of ‘meaning construction’ and ‘meaningful understanding production......’ in the framework of smart constructivism, we will focus on analysing Smart Constructivist Knowledge Building. Accordingly, we analysed Learning-and-Constructing-Together as a smart constructivist model. The outcomes of this chapter could support the developments of smart learning strategies....

  8. Life and Understanding: The Origins of "Understanding" in Self-Organizing Nervous Systems.

    Science.gov (United States)

    Yufik, Yan M; Friston, Karl

    2016-01-01

    This article is motivated by a formulation of biotic self-organization in Friston (2013), where the emergence of "life" in coupled material entities (e.g., macromolecules) was predicated on bounded subsets that maintain a degree of statistical independence from the rest of the network. Boundary elements in such systems constitute a Markov blanket ; separating the internal states of a system from its surrounding states. In this article, we ask whether Markov blankets operate in the nervous system and underlie the development of intelligence, enabling a progression from the ability to sense the environment to the ability to understand it. Markov blankets have been previously hypothesized to form in neuronal networks as a result of phase transitions that cause network subsets to fold into bounded assemblies, or packets (Yufik and Sheridan, 1997; Yufik, 1998a). The ensuing neuronal packets hypothesis builds on the notion of neuronal assemblies (Hebb, 1949, 1980), treating such assemblies as flexible but stable biophysical structures capable of withstanding entropic erosion. In other words, structures that maintain their integrity under changing conditions. In this treatment, neuronal packets give rise to perception of "objects"; i.e., quasi-stable (stimulus bound) feature groupings that are conserved over multiple presentations (e.g., the experience of perceiving "apple" can be interrupted and resumed many times). Monitoring the variations in such groups enables the apprehension of behavior; i.e., attributing to objects the ability to undergo changes without loss of self-identity. Ultimately, "understanding" involves self-directed composition and manipulation of the ensuing "mental models" that are constituted by neuronal packets, whose dynamics capture relationships among objects: that is, dependencies in the behavior of objects under varying conditions. For example, movement is known to involve rotation of population vectors in the motor cortex (Georgopoulos et al

  9. Business systems for knowledge management in the NGL industry

    International Nuclear Information System (INIS)

    Remmington, S.

    1999-01-01

    Effective knowledge management involves a complex blend of culture, structure, process and technology. Traditional organization structures, processes and systems cannot deal with the new volume and velocity of information. Separate functional departments such as marketing, operations, logistics and accounting typically have separate functional systems or modules. These separate structures and systems create islands of information and barriers to effective knowledge management. New cross-functional structures, processes and systems offer a fundamentally different approach. Cross-functional systems support marketing, operations, logistics and accounting activities from a single, shared data repository. Unlike separate systems, or even integrated modular systems, each data element is stored once and only once. All information is available to the entire organization in near real time as soon as it is captured. These types of systems can support various organizational structures and processes, including cross-functional teams. Change is not easy, but organizations that act on this opportunity early will gain a significant competitive advantage. Those that do not change quickly enough are unlikely to survive

  10. Understanding earth system models: how Global Sensitivity Analysis can help

    Science.gov (United States)

    Pianosi, Francesca; Wagener, Thorsten

    2017-04-01

    Computer models are an essential element of earth system sciences, underpinning our understanding of systems functioning and influencing the planning and management of socio-economic-environmental systems. Even when these models represent a relatively low number of physical processes and variables, earth system models can exhibit a complicated behaviour because of the high level of interactions between their simulated variables. As the level of these interactions increases, we quickly lose the ability to anticipate and interpret the model's behaviour and hence the opportunity to check whether the model gives the right response for the right reasons. Moreover, even if internally consistent, an earth system model will always produce uncertain predictions because it is often forced by uncertain inputs (due to measurement errors, pre-processing uncertainties, scarcity of measurements, etc.). Lack of transparency about the scope of validity, limitations and the main sources of uncertainty of earth system models can be a strong limitation to their effective use for both scientific and decision-making purposes. Global Sensitivity Analysis (GSA) is a set of statistical analysis techniques to investigate the complex behaviour of earth system models in a structured, transparent and comprehensive way. In this presentation, we will use a range of examples across earth system sciences (with a focus on hydrology) to demonstrate how GSA is a fundamental element in advancing the construction and use of earth system models, including: verifying the consistency of the model's behaviour with our conceptual understanding of the system functioning; identifying the main sources of output uncertainty so to focus efforts for uncertainty reduction; finding tipping points in forcing inputs that, if crossed, would bring the system to specific conditions we want to avoid.

  11. The knowledge and understanding of preanalytical phase among biomedicine students at the University of Zagreb

    Science.gov (United States)

    Dukic, Lora; Jokic, Anja; Kules, Josipa; Pasalic, Daria

    2016-01-01

    Introduction The educational program for health care personnel is important for reducing preanalytical errors and improving quality of laboratory test results. The aim of our study was to assess the level of knowledge on preanalytical phase in population of biomedicine students through a cross-sectional survey. Materials and methods A survey was sent to students on penultimate and final year of Faculty of Pharmacy and Biochemistry – study of medical biochemistry (FPB), Faculty of Veterinary Medicine (FVM) and School of Medicine (SM), University of Zagreb, Croatia, using the web tool SurveyMonkey. Survey was composed of demographics and 14 statements regarding the preanalytical phase of laboratory testing. Comparison of frequencies and proportions of correct answers was done with Fisher’s exact test and test of comparison of proportions, respectively. Results Study included 135 participants, median age 24 (23-40) years. Students from FPB had higher proportion of correct answers (86%) compared to students from other biomedical faculties 62%, P sample (P order of draw during blood specimen collection (P < 0.001), in comparison with students from SM and FVM. Conclusions Students from FPB are more conscious of the importance of preanalytical phase of testing in comparison with their colleagues from other biomedical faculties. No difference in knowledge between penultimate and final year of the same faculty was found. PMID:26981023

  12. ONTOLOGICAL KNOWLEDGE INTERACTIVE SYSTEM -THE PARADIGM OF MOBILE HEALTH DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    O. Ye. Stryzhak

    2016-10-01

    Full Text Available It describes the approaches and tools of formation of the ontological systems of medical records. The conditions of their creation on the basis of the relevant provisions of partially ordered medical theories are defined. There are determined such tools as term field of medical document, taxonomy, reducer of multiple relations between the concepts of the theory, the provisions of which are reflected in a medical document. Documents ontologies are considered as network-centric interactive medical knowledge systems. Examples of dynamic presentation of the state of physicians and patients interaction with ontological medical document system are presented.

  13. VIP: A knowledge-based design aid for the engineering of space systems

    Science.gov (United States)

    Lewis, Steven M.; Bellman, Kirstie L.

    1990-01-01

    The Vehicles Implementation Project (VIP), a knowledge-based design aid for the engineering of space systems is described. VIP combines qualitative knowledge in the form of rules, quantitative knowledge in the form of equations, and other mathematical modeling tools. The system allows users rapidly to develop and experiment with models of spacecraft system designs. As information becomes available to the system, appropriate equations are solved symbolically and the results are displayed. Users may browse through the system, observing dependencies and the effects of altering specific parameters. The system can also suggest approaches to the derivation of specific parameter values. In addition to providing a tool for the development of specific designs, VIP aims at increasing the user's understanding of the design process. Users may rapidly examine the sensitivity of a given parameter to others in the system and perform tradeoffs or optimizations of specific parameters. A second major goal of VIP is to integrate the existing corporate knowledge base of models and rules into a central, symbolic form.

  14. Understanding Global Change: Frameworks and Models for Teaching Systems Thinking

    Science.gov (United States)

    Bean, J. R.; Mitchell, K.; Zoehfeld, K.; Oshry, A.; Menicucci, A. J.; White, L. D.; Marshall, C. R.

    2017-12-01

    The scientific and education communities must impart to teachers, students, and the public an understanding of how the various factors that drive climate and global change operate, and why the rates and magnitudes of these changes related to human perturbation of Earth system processes today are cause for deep concern. Even though effective educational modules explaining components of the Earth and climate system exist, interdisciplinary learning tools are necessary to conceptually link the causes and consequences of global changes. To address this issue, the Understanding Global Change Project at the University of California Museum of Paleontology (UCMP) at UC Berkeley developed an interdisciplinary framework that organizes global change topics into three categories: (1) causes of climate change, both human and non-human (e.g., burning of fossil fuels, deforestation, Earth's tilt and orbit), (2) Earth system processes that shape the way the Earth works (e.g., Earth's energy budget, water cycle), and (3) the measurable changes in the Earth system (e.g., temperature, precipitation, ocean acidification). To facilitate student learning about the Earth as a dynamic, interacting system, a website will provide visualizations of Earth system models and written descriptions of how each framework topic is conceptually linked to other components of the framework. These visualizations and textual summarizations of relationships and feedbacks in the Earth system are a unique and crucial contribution to science communication and education, informed by a team of interdisciplinary scientists and educators. The system models are also mechanisms by which scientists can communicate how their own work informs our understanding of the Earth system. Educators can provide context and relevancy for authentic datasets and concurrently can assess student understanding of the interconnectedness of global change phenomena. The UGC resources will be available through a web-based platform and

  15. Standpoint: Using Bourdieu to Understand IE and the Researcher's Relation with Knowledge Generation

    OpenAIRE

    Reid, James

    2017-01-01

    In this chapter I highlight the need to turn the IE lens of enquiry onto IE itself and consequently the importance for institutional; ethnographers to attend to their standpoint in taking up and activating their understanding IE. Many, including Wise and Stanley (1990) and Walby (2007), celebrate Smith’s sociology but raise important ontological and epistemological questions about IE’s own recursive power. While IE has developed from a critique of wider sociological inquiry it is troubled by ...

  16. Monitoring water distribution systems: understanding and managing sensor networks

    Directory of Open Access Journals (Sweden)

    D. D. Ediriweera

    2010-09-01

    Full Text Available Sensor networks are currently being trialed by the water distribution industry for monitoring complex distribution infrastructure. The paper presents an investigation in to the architecture and performance of a sensor system deployed for monitoring such a distribution network. The study reveals lapses in systems design and management, resulting in a fifth of the data being either missing or erroneous. Findings identify the importance of undertaking in-depth consideration of all aspects of a large sensor system with access to either expertise on every detail, or to reference manuals capable of transferring the knowledge to non-specialists. First steps towards defining a set of such guidelines are presented here, with supporting evidence.

  17. Development of a component centered fault monitoring and diagnosis knowledge based system for space power system

    Science.gov (United States)

    Lee, S. C.; Lollar, Louis F.

    1988-01-01

    The overall approach currently being taken in the development of AMPERES (Autonomously Managed Power System Extendable Real-time Expert System), a knowledge-based expert system for fault monitoring and diagnosis of space power systems, is discussed. The system architecture, knowledge representation, and fault monitoring and diagnosis strategy are examined. A 'component-centered' approach developed in this project is described. Critical issues requiring further study are identified.

  18. Understanding human metabolic physiology: a genome-to-systems approach.

    Science.gov (United States)

    Mo, Monica L; Palsson, Bernhard Ø

    2009-01-01

    The intricate nature of human physiology renders its study a difficult undertaking, and a systems biology approach is necessary to understand the complex interactions involved. Network reconstruction is a key step in systems biology and represents a common denominator because all systems biology research on a target organism relies on such a representation. With the recent development of genome-scale human metabolic networks, metabolic systems analysis is now possible and has initiated a shift towards human systems biology. Here, we review the important aspects of reconstructing a bottom-up human metabolic network, the network's role in modeling human physiology and the necessity for a community-based consensus reconstruction of human metabolism to be established.

  19. Role of systems pharmacology in understanding drug adverse events

    Science.gov (United States)

    Berger, Seth I.; Iyengar, Ravi

    2011-01-01

    Systems pharmacology involves the application of systems biology approaches, combining large-scale experimental studies with computational analyses, to the study of drugs, drug targets, and drug effects. Many of these initial studies have focused on identifying new drug targets, new uses of known drugs, and systems-level properties of existing drugs. This review focuses on systems pharmacology studies that aim to better understand drug side effects and adverse events. By studying the drugs in the context of cellular networks, these studies provide insights into adverse events caused by off-targets of drugs as well as adverse events-mediated complex network responses. This allows rapid identification of biomarkers for side effect susceptibility. In this way, systems pharmacology will lead to not only newer and more effective therapies, but safer medications with fewer side effects. PMID:20803507

  20. Deploying a knowledge management system for well construction

    Energy Technology Data Exchange (ETDEWEB)

    Graham, Stephen; Soffried, Klaus; Sousa, Tadeu V. de; Tatro, Matt [Landmark Graphics, Houston, TX (United States); Rocha, Luiz A. [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2004-07-01

    The overall E and P workforce is rapidly aging since companies have been recruiting fewer and fewer new hires. Should such trends continue, we could lose more than half of our current knowledge workers over the next five to seven years as J. W. Gibson pointed out in his article in World Energy. One obvious remedy is to start recruiting more staff, but as older people retire and younger people enter the company, the workforce will become increasingly dominated by inexperienced professionals. Without implementation of an effective knowledge management system, the industry will likely incur costly mistakes in the future. This paper will highlight an advanced software-based solution being designed to successfully offset this continuous drain of intellectual capital to achieve 'Excellence in Drilling'. The solutions concept includes the deployment of an advanced, user-friendly workflow management system within a web-based portal environment to support both well planning and operations. The system provides capabilities for remote access to databases, data input forms, software applications, best practices, lessons learned, technical references, and experts, all within the context of user configurable workflow maps. The integrated system will enable asset teams to work more effectively together and become 'learning organizations' by taking full advantage of the knowledge gained on previous wells during the design of new wells. (author)

  1. The role of conceptual knowledge in understanding synaesthesia: Evaluating contemporary findings from a "hub-and-spokes" perspective.

    Science.gov (United States)

    Chiou, Rocco; Rich, Anina N

    2014-01-01

    Synesthesia is a phenomenon in which stimulation in one sensory modality triggers involuntary experiences typically not associated with that stimulation. Inducing stimuli (inducers) and synesthetic experiences (concurrents) may occur within the same modality (e.g., seeing colors while reading achromatic text) or span across different modalities (e.g., tasting flavors while listening to music). Although there has been considerable progress over the last decade in understanding the cognitive and neural mechanisms of synesthesia, the focus of current neurocognitive models of synesthesia does not encompass many crucial psychophysical characteristics documented in behavioral research. Prominent theories of the neurophysiological basis of synesthesia construe it as a perceptual phenomenon and hence focus primarily on the modality-specific brain regions for perception. Many behavioral studies, however, suggest an essential role for conceptual-level information in synesthesia. For example, there is evidence that synesthetic experience arises subsequent to identification of an inducing stimulus, differs substantially from real perceptual events, can be akin to perceptual memory, and is susceptible to lexical/semantic contexts. These data suggest that neural mechanisms lying beyond the realm of the perceptual cortex (especially the visual system), such as regions subserving conceptual knowledge, may play pivotal roles in the neural architecture of synesthesia. Here we discuss the significance of non-perceptual mechanisms that call for a re-evaluation of the emphasis on synesthesia as a perceptual phenomenon. We also review recent studies which hint that some aspects of synesthesia resemble our general conceptual knowledge for object attributes, at both psychophysical and neural levels. We then present a conceptual-mediation model of synesthesia in which the inducer and concurrent are linked within a conceptual-level representation. This "inducer-to-concurrent" nexus is

  2. Prostate Cancer Patients' Understanding of the Gleason Scoring System: Implications for Shared Decision-Making.

    Science.gov (United States)

    Tagai, Erin K; Miller, Suzanne M; Kutikov, Alexander; Diefenbach, Michael A; Gor, Ronak A; Al-Saleem, Tahseen; Chen, David Y T; Fleszar, Sara; Roy, Gem

    2018-01-15

    The Gleason scoring system is a key component of a prostate cancer diagnosis, since it indicates disease aggressiveness. It also serves as a risk communication tool that facilitates shared treatment decision-making. However, the system is highly complex and therefore difficult to communicate: factors which have been shown to undermine well-informed and high-quality shared treatment decision-making. To systematically explore prostate cancer patients' understanding of the Gleason scoring system (GSS), we assessed knowledge and perceived importance among men who had completed treatment (N = 50). Patients were administered a survey that assessed patient knowledge and patients' perceived importance of the GSS, as well as demographics, medical factors (e.g., Gleason score at diagnosis), and health literacy. Bivariate analyses were conducted to identify associations with patient knowledge and perceived importance of the GSS. The sample was generally well-educated (48% with a bachelor's degree or higher) and health literate (M = 12.9, SD = 2.2, range = 3-15). Despite this, patient knowledge of the GSS was low (M = 1.8, SD = 1.4, range = 1-4). Patients' understanding of the importance of the GSS was moderate (M = 2.8, SD = 1.0, range = 0-4) and was positively associated with GSS knowledge (p importance of the GSS (p communication to maximize shared treatment decision-making. Future studies are needed to explore the potential utility of a simplified Gleason grading system and improved patient-provider communication.

  3. A knowledge-based system design/information tool

    Science.gov (United States)

    Allen, James G.; Sikora, Scott E.

    1990-01-01

    The objective of this effort was to develop a Knowledge Capture System (KCS) for the Integrated Test Facility (ITF) at the Dryden Flight Research Facility (DFRF). The DFRF is a NASA Ames Research Center (ARC) facility. This system was used to capture the design and implementation information for NASA's high angle-of-attack research vehicle (HARV), a modified F/A-18A. In particular, the KCS was used to capture specific characteristics of the design of the HARV fly-by-wire (FBW) flight control system (FCS). The KCS utilizes artificial intelligence (AI) knowledge-based system (KBS) technology. The KCS enables the user to capture the following characteristics of automated systems: the system design; the hardware (H/W) design and implementation; the software (S/W) design and implementation; and the utilities (electrical and hydraulic) design and implementation. A generic version of the KCS was developed which can be used to capture the design information for any automated system. The deliverable items for this project consist of the prototype generic KCS and an application, which captures selected design characteristics of the HARV FCS.

  4. A Framework for Understanding Post-Merger Information Systems Integration

    DEFF Research Database (Denmark)

    Alaranta, Maria; Kautz, Karlheinz

    2012-01-01

    that researchers and managers of post-merger IS integration should pay particular attention to the IS and organizational merger contexts; the need to build relationships and collaboration between the merging parties; power struggles; and, perhaps most importantly, understanding and treating post......This paper develops a theoretical framework for the integration of information systems (IS) after a merger or an acquisition. The framework integrates three perspectives: a structuralist, an individualist, and an interactive process perspective to analyze and understand such integrations....... The framework is applied to a longitudinal case study of a manufacturing company that grew through an acquisition. The management decided to integrate the production control IS via tailoring a new system that blends together features of existing IS. The application of the framework in the case study confirms...

  5. Critical Knowledge Gaps in Our Understanding of Environmental Cycling and Transmission of Leptospira spp.

    Science.gov (United States)

    Barragan, Veronica; Olivas, Sonora; Keim, Paul; Pearson, Talima

    2017-10-01

    Exposure to soil or water contaminated with the urine of Leptospira -infected animals is the most common way in which humans contract leptospirosis. Entire populations can be at high risk of leptospirosis while working in inundated fields, when engaging in aquatic sports, or after periods of heavy rainfall. The risk of infection after contact with these environmental sources depends on the ability of Leptospira bacteria to survive, persist, and infect new hosts. Multiple variables such as soil and water pH, temperature, and even environmental microbial communities are likely to shape the environmental conditions needed by the pathogen to persist. Here we review what is known about the environmental phase of the infectious Leptospira transmission cycle and identify knowledge gaps that will serve as a guide for future research. Copyright © 2017 Barragan et al.

  6. A Qualitative Study of Agricultural Literacy in Urban Youth: What Do Elementary Students Understand about the Agri-Food System?

    Science.gov (United States)

    Hess, Alexander J.; Trexler, Cary J.

    2011-01-01

    Agricultural literacy of K-12 students is a national priority for both scientific and agricultural education professional organizations. Development of curricula to address this priority has not been informed by research on what K-12 students understand about the agri-food system. While students' knowledge of food and fiber system facts have been…

  7. Structure of the knowledge base for an expert labeling system

    Science.gov (United States)

    Rajaram, N. S.

    1981-01-01

    One of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.

  8. Understanding Science: Frameworks for using stories to facilitate systems thinking

    Science.gov (United States)

    ElShafie, S. J.; Bean, J. R.

    2017-12-01

    Studies indicate that using a narrative structure for teaching and learning helps audiences to process and recall new information. Stories also help audiences retain specific information, such as character names or plot points, in the context of a broader narrative. Stories can therefore facilitate high-context systems learning in addition to low-context declarative learning. Here we incorporate a framework for science storytelling, which we use in communication workshops, with the Understanding Science framework developed by the UC Museum of Paleontology (UCMP) to explore the application of storytelling to systems thinking. We translate portions of the Understanding Science flowchart into narrative terms. Placed side by side, the two charts illustrate the parallels between the scientific process and the story development process. They offer a roadmap for developing stories about scientific studies and concepts. We also created a series of worksheets for use with the flowcharts. These new tools can generate stories from any perspective, including a scientist conducting a study; a character that plays a role in a larger system (e.g., foraminifera or a carbon atom); an entire system that interacts with other systems (e.g., the carbon cycle). We will discuss exemplar stories about climate change from each of these perspectives, which we are developing for workshops using content and storyboard models from the new UCMP website Understanding Global Change. This conceptual framework and toolkit will help instructors to develop stories about scientific concepts for use in a classroom setting. It will also help students to analyze stories presented in class, and to create their own stories about new concepts. This approach facilitates student metacognition of the learning process, and can also be used as a form of evaluation. We are testing this flowchart and its use in systems teaching with focus groups, in preparation for use in teacher professional development workshops.

  9. Framework for a Knowledge Management System for Curriculum Development Process

    OpenAIRE

    Seema A. Tarnekar

    2014-01-01

    In this paper, a framework to facilitate development of knowledge management (KM) system for curriculum development process is suggested. It was validated through experts' opinions with thirty two experts. The components of the framework were supported by the experts by emphasizing their necessity and importance in the curriculum development process. Some model curricula and related guidelines were studied to identify components of good curriculum. The curriculum development process was studi...

  10. Knowledge Representation Artifacts for Use in Sensemaking Support Systems

    Science.gov (United States)

    2015-03-12

    Elements of Information Fusion and Knowledge- Based Systems to Support Situation Analysis”, Proceedings of Multisensor , Multisource Information Fusion ...Maritime Anomaly Detection”, Proceedings of the NATO Workshop on Data Fusion and Anomaly Detection for Maritime Situational Awareness (MSA 2009), NATO...progress has been achieved in recent years, the processing of a large proportion of the data and information made available from the ever increasing number

  11. Knowledge representation and indexing using the unified medical language system.

    Science.gov (United States)

    Baclawski, K; Cigna, J; Kokar, M M; Mager, P; Indurkhya, B

    2000-01-01

    Ontologies and semantic frameworks can be used to improve the accuracy and expressiveness of natural language processing for the purpose of extracting meaning from technical documents. This is especially true when a rich ontology such as the Unified Medical Language System (UMLS) is available. This paper reports on some tools being developed to make this possible and on some experience with a user interface based on ontologies and semantic networks that allows for interactive knowledge exploration.

  12. Knowledge management systems in support of an induction programme: An action research approach

    Directory of Open Access Journals (Sweden)

    Murali Raman

    2013-12-01

    Full Text Available Higher education institutions are in the knowledge business since they are involved in knowledge creation, dissemination and learning. However, not many higher education institutions get the most benefit out of managing their knowledge. Most of these institutions are so busy delivering knowledge that they fail to capture the best practices in their knowledge delivery. The induction programme for new lecturers is therefore very important to improve the quality of teaching. In teaching, lecturers might be the subject matter experts but could lack knowledge related to teaching, such as theories of teaching and learning, classroom organization and management, development of curriculum and course content, and professionalism. This paper examines if knowledge management systems (KMS can support the induction programmes for new lecturers in an academic setting at the Bina Nusantara University in Indonesia. Action research is used as the underlying methodology. Specifically, a 5-step canonical action research was used to conduct the study. Our findings post intervention suggests that most lecturers understand the importance of the induction programme and the lecturers have positive attitudes towards the implementation of KMS to support the induction programme.

  13. Understanding of the management information system based on MVC pattern

    Science.gov (United States)

    Chen, Sida

    2018-04-01

    With the development of the society, people have come to realize the significance of information, not only linguistically but also in the written form. To build an effective and efficient working flow, a new subject called Management Information System (MIS) came up. MIS is an integrated discipline, which utilizes comprehensive and systematical methods to manage information, and it enhances the work efficiency through building structured information platform. This paper demonstrates the Management Information System from shallow too deep with the understanding of MVC pattern, including its basic structure and application with ASP.NET. Also some discussions about its features are made in the last section.

  14. Do Zoo Visitors Need Zoology Knowledge to Understand Conservation Messages? An Exploration of the Public Understanding of Animal Biology and of the Conservation of Biodiversity in a Zoo Setting

    Science.gov (United States)

    Dove, Tracy; Byrne, Jenny

    2014-01-01

    This study explores the current knowledge and understanding about animal biology of zoo visitors and investigates whether knowledge of animal biology influences the ability of people to understand how human activity affects biodiversity. Zoos can play a role in the development of scientific literacy in the fields of animal biology and biodiversity…

  15. Compiling knowledge-based systems from KEE to Ada

    Science.gov (United States)

    Filman, Robert E.; Bock, Conrad; Feldman, Roy

    1990-01-01

    The dominant technology for developing AI applications is to work in a multi-mechanism, integrated, knowledge-based system (KBS) development environment. Unfortunately, systems developed in such environments are inappropriate for delivering many applications - most importantly, they carry the baggage of the entire Lisp environment and are not written in conventional languages. One resolution of this problem would be to compile applications from complex environments to conventional languages. Here the first efforts to develop a system for compiling KBS developed in KEE to Ada (trademark). This system is called KATYDID, for KEE/Ada Translation Yields Development Into Delivery. KATYDID includes early prototypes of a run-time KEE core (object-structure) library module for Ada, and translation mechanisms for knowledge structures, rules, and Lisp code to Ada. Using these tools, part of a simple expert system was compiled (not quite automatically) to run in a purely Ada environment. This experience has given us various insights on Ada as an artificial intelligence programming language, potential solutions of some of the engineering difficulties encountered in early work, and inspiration on future system development.

  16. Dynamic reasoning in a knowledge-based system

    Science.gov (United States)

    Rao, Anand S.; Foo, Norman Y.

    1988-01-01

    Any space based system, whether it is a robot arm assembling parts in space or an onboard system monitoring the space station, has to react to changes which cannot be foreseen. As a result, apart from having domain-specific knowledge as in current expert systems, a space based AI system should also have general principles of change. This paper presents a modal logic which can not only represent change but also reason with it. Three primitive operations, expansion, contraction and revision are introduced and axioms which specify how the knowledge base should change when the external world changes are also specified. Accordingly the notion of dynamic reasoning is introduced, which unlike the existing forms of reasoning, provide general principles of change. Dynamic reasoning is based on two main principles, namely minimize change and maximize coherence. A possible-world semantics which incorporates the above two principles is also discussed. The paper concludes by discussing how the dynamic reasoning system can be used to specify actions and hence form an integral part of an autonomous reasoning and planning system.

  17. On knowledge representation for high energy physics control systems

    International Nuclear Information System (INIS)

    Huuskonen, P.; Kaarela, K.; Meri, M.; Le Goff, J.M.

    1994-01-01

    A framework for knowledge representation in the domain of high energy physics control systems is presented. Models of process equipment, controls, documents, information systems, functional dependencies, physical interconnections, and design decisions are necessary to allow for automated reasoning about such systems. A number of support systems can use these models: alarm processing, fault diagnosis, sensor validation, preventive maintenance, action analysis, information abstraction, intelligent help systems, and on-line documentation. Our aim is to achieve representations that would be understood by end users, could be constructed by domain experts, and would be powerful enough to function as a basis for these support systems. It is proposed to base these models on means-end-analysis, implemented through an entity-relationship type of representation and extended with the notion of contribution. The paper outlines class hierarchies and relation types to form a vocabulary for talking about this specific domain. A number of implementation concerns are raised and some examples of how these representations can be used in real cases are offered. The representations are likely to prove most useful for support systems that function in the user assisting mode, as opposed to fully autonomous systems. Intelligent help and information abstraction applications, in particular, are expected to benefit. The main focus of the work is that of the control information system concepts based on encapsulated real- time objects (CICERO) project at CERN, experiment controls, but the results are usable for accelerator control systems and for industrial control systems in general. (author). 37 refs., 7 figs

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

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, S.

    1991-01-01

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

  19. Artificial intelligence and tutoring systems computational and cognitive approaches to the communication of knowledge

    CERN Document Server

    Wenger, Etienne

    2014-01-01

    Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretic

  20. Understanding private retail drug outlet dispenser knowledge and practices in tuberculosis care in Tanzania.

    Science.gov (United States)

    Rutta, E; Tarimo, A; Delmotte, E; James, I; Mwakisu, S; Kasembe, D; Konduri, N; Silumbe, R; Kakanda, K; Valimba, R

    2014-09-01

    Private sector accredited drug dispensing outlets in Morogoro and pharmacies in Dar es Salaam, Tanzania. To assess 1) the level of knowledge about tuberculosis (TB) among dispensers in Tanzania's retail pharmaceutical sector; 2) practices related to identification of patients with suspected TB; 3) the availability of educational materials and training; and 4) the availability of first- and second-line anti-tuberculosis treatment in retail drug outlets. A cross-sectional descriptive study involving the administration of a structured questionnaire among drug dispensers in 122 pharmacies and 173 accredited drug dispensing outlets. Private retail drug outlets are convenient; most are open at least 12 h per day, 7 days/week. Although 95% of dispensers identified persistent cough as a symptom of TB, only 1% had received TB-related training in the previous 3 years; 8% of outlets stocked first-line anti-tuberculosis medicines, which are legally prohibited from being sold at retail outlets. The majority of respondents reported seeing clients with TB-like symptoms, and of these 95% reported frequently referring clients to nearby health facilities. Private retail pharmaceutical outlets can potentially contribute to TB case detection and treatment; however, a coordinated effort is needed to train dispensers and implement appropriate referral procedures.

  1. 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

  2. Enterprise content management systems as a knowledge infrastructure: The knowledge-based content management framework

    OpenAIRE

    Le Dinh, Thang; Rickenberg, Tim A.; Fill, Hans-Georg; Breitner, Michael H.

    2015-01-01

    The rise of the knowledge-based economy has significantly transformed the economies of developed countries from managed economies into entrepreneurial economies, which deal with knowledge as both input and output. Consequently, knowledge has become a key asset for organizations and knowledge management is one of the driving forces of business success. One of the most important challenges faced by enterprises today is to manage both knowledge assets and the e-collaboration process between know...

  3. A knowledge based system for training radiation emergency response personnel

    International Nuclear Information System (INIS)

    Kuriakose, K.K.; Peter, T.U.; Natarajan, A.

    1992-01-01

    One of the important aspects of radiation emergency preparedness is to impart training to emergency handling staff. Mock exercises are generally used for this purpose. But practical considerations limit the frequency of such exercises. A suitably designed computer software can be effectively used to impart training. With the advent of low cost personal computers, the frequency with which the training programme can be conducted is unlimited. A computer software with monotonic behaviour is inadequate for such training. It is necessary to provide human like tutoring capabilities. With the advances in knowledge based computer systems, it is possible to develop such a system. These systems have the capability of providing individualized training. This paper describes the development of such a system for training and evaluation of agencies associated with the management of radiation emergency. It also discusses the utility of the software as a general purpose tutor. The details required for the preparation of data files and knowledge base files are included. It uses a student model based on performance measures. The software is developed in C under MS-DOS. It uses a rule based expert system shell developed in C. The features of this shell are briefly described. (author). 5 refs

  4. Working with the ineffable: Toward a process of understanding and communicating qualitative research knowledge and experience through design

    DEFF Research Database (Denmark)

    Coxon, Ian Robert

    2013-01-01

    The work described in this paper addresses the conference call for "New processes, tools or approaches that facilitate knowledge exchange and collaboration" between academia and creative people. It introduces a research-for-design program that we at the Experience-based Designing Centre in Denmark......-based Designing (XbD). The discussion will centre on XbD as we currently practice it with a view to exploring new opportunities for improvement within the whole Experience-based Designing process. The four pillars involving Exploring, Understanding, Sharing and Showing How are staging points for the input of new...... have been working on and with for the past year. It will present a program of teaching, research and industry collaboration that is essentially a knowledge gathering and information exchange program that is in itself a work-in-progress. We refer to this work as the four pillars of Experience...

  5. Situational Awareness -- Evolving Knowledge into Understanding: A Competency Critical to US National Interest

    Science.gov (United States)

    2009-05-01

    the world environment, it is critically important to remain adaptive to mitigate emerging threats. For as Gödel, Heisenberg and the Second Law of......from the G-2, 3d U.S. Army (Riyadh, Saudi Arabia, April 1991), 28 73 U.S. Joint Chiefs of Staff, Joint Publication 6-0, Joint Communications Systems

  6. Explaining the significance of participationist approaches for understanding students' knowledge acquisition

    DEFF Research Database (Denmark)

    Dohn, Nina Bonderup

    2016-01-01

    an appraisal in the article's second part of a claim inherent to participationist views: It is necessary to adopt a system's view on learning opportunities presented to students in class because of the way positioning, recognition, and identity negotiation influence students' engagement with curricular content...

  7. Understanding School Knowledge: A Critical Appraisal of Basil Bernstein and Pierre Bourdieu.

    Science.gov (United States)

    Gorder, Karen L.

    1980-01-01

    This essay focuses on an analysis of the relationships among the educational institution, the mode of economic production, and the labor force. Class is considered an important factor in the dominant mode of production. Social classes are produced in a capitalist society by their position in the division of labor. The educational system reproduces…

  8. Knowledge systems and the colonial legacies in African science education

    Science.gov (United States)

    Ziegler, John R.; Lehner, Edward

    2017-10-01

    This review surveys Femi Otulaja and Meshach Ogunniyi's, Handbook of research in science education in sub-Saharan Africa, Sense, Rotterdam, 2017, noting the significance of the theoretically rich content and how this book contributes to the field of education as well as to the humanities more broadly. The volume usefully outlines the ways in which science education and scholarship in sub-Saharan Africa continue to be impacted by the region's colonial history. Several of the chapters also enumerate proposals for teaching and learning science and strengthening academic exchange. Concerns that recur across many of the chapters include inadequate implementation of reforms; a lack of resources, such as for classroom materials and teacher training; and the continued and detrimental linguistic, financial, and ideological domination of African science education by the West. After a brief overview of the work and its central issues, this review closely examines two salient chapters that focus on scholarly communications and culturally responsive pedagogy. The scholarly communication section addresses the ways in which African science education research may in fact be too closely mirroring Western knowledge constructions without fully integrating indigenous knowledge systems in the research process. The chapter on pedagogy makes a similar argument for integrating Western and indigenous knowledge systems into teaching approaches.

  9. Applied information system-based in enhancing students' understanding towards higher order thinking (HOTS)

    Science.gov (United States)

    Hua, Ang Kean; Ping, Owi Wei

    2017-05-01

    The application of information and communications technology (ICT) had become more important in our daily life, especially in educational field. Teachers are encouraged to use information system-based in teaching Mathematical courses. Higher Order Thinking Skills (HOTS) approach is unable to explain using chalk and talk methods. It needs students to analyze, evaluate, and create by their own natural abilities. The aim of this research study was to evaluate the effectiveness of the application information system-based in enhance the students understanding about HOTS question. Mixed-methods or quantitative and qualitative approach was applied in collecting data, which involve only the standard five students and the teachers in Sabak Bernam, Selangor. Pra-postests was held before and after using information system-based in teaching to evaluate the students' understanding. The result from post-test indicates significant improvement which proves that the use of information system based able to enhance students' understanding about HOTS question and solve it. There were several factor influenced the students such as students' attitude, teachers attraction, school facilities, and computer approach. Teachers play an important role in attracting students to learn. Therefore, the school should provide a conducive learning environment and good facilities for students to learn so that they are able to access more information and always exposed to new knowledge. As conclusion, information system-based are able to enhance students understanding the need of HOTS questions and solve it.

  10. BONSAI Garden: Parallel knowledge discovery system for amino acid sequences

    Energy Technology Data Exchange (ETDEWEB)

    Shoudai, T.; Miyano, S.; Shinohara, A.; Okazaki, T.; Arikawa, S. [Kyushu Univ., Fukuoka (Japan)] [and others

    1995-12-31

    We have developed a machine discovery system BON-SAI which receives positive and negative examples as inputs and produces as a hypothesis a pair of a decision tree over regular patterns and an alphabet indexing. This system has succeeded in discovering reasonable knowledge on transmembrane domain sequences and signal peptide sequences by computer experiments. However, when several kinds of sequences axe mixed in the data, it does not seem reasonable for a single BONSAI system to find a hypothesis of a reasonably small size with high accuracy. For this purpose, we have designed a system BONSAI Garden, in which several BONSAI`s and a program called Gardener run over a network in parallel, to partition the data into some number of classes together with hypotheses explaining these classes accurately.

  11. BONSAI Garden: parallel knowledge discovery system for amino acid sequences.

    Science.gov (United States)

    Shoudai, T; Lappe, M; Miyano, S; Shinohara, A; Okazaki, T; Arikawa, S; Uchida, T; Shimozono, S; Shinohara, T; Kuhara, S

    1995-01-01

    We have developed a machine discovery system BONSAI which receives positive and negative examples as inputs and produces as a hypothesis a pair of a decision tree over regular patterns and an alphabet indexing. This system has succeeded in discovering reasonable knowledge on transmembrane domain sequences and signal peptide sequences by computer experiments. However, when several kinds of sequences are mixed in the data, it does not seem reasonable for a single BONSAI system to find a hypothesis of a reasonably small size with high accuracy. For this purpose, we have designed a system BONSAI Garden, in which several BONSAI's and a program called Gardener run over a network in parallel, to partition the data into some number of classes together with hypotheses explaining these classes accurately.

  12. Contribution of local knowledge to understand socio-hydrological dynamics. Examples from a study in Senegal river valley

    Science.gov (United States)

    Bruckmann, Laurent

    2017-04-01

    In developing countries many watersheds are low monitored. However, rivers and its floodplains provides ecosystem services to societies, especially for agriculture, grazing and fishing. This uses of rivers and floodplains offer to communities an important local knowledge about hydrological dynamics. This knowledge can be useful to researchers studying ecological or hydrological processes. This presentation aims to discuss and present the interest of using qualitative data from surveys and interviews to understand relations between society and hydrology in floodplain from developing countries, but also to understand changes in hydrological dynamics. This communication is based on a PhD thesis held on from 2012 and 2016, that analyzes socio-ecological changes in the floodplain of the Senegal river floodplain following thirty years of transboundary water management. The results of this work along Senegal river valley suggest that the use of social data and qualitative study are beneficial in understanding the hydrological dynamics in two dimensions. First, it established the importance of perception of hydrological dynamics, particularly floods, on local water management and socio-agricultural trajectories. This perception of people is strictly derived from ecosystems services provided by river and its floodplain. Second, surveys have enlightened new questions concerning the hydrology of the river that are often cited by people, like a decrease of flood water fertility. This type of socio-hydrological study, combining hydrological and qualitative data, has great potential for guiding water management policies. Using local knowledge in their analyzes, researchers also legitimize river users, who are for the most part forgotten by water policies.

  13. Exploring one aspect of pedagogical content knowledge of teaching assistants using the test of understanding graphs in kinematics

    Directory of Open Access Journals (Sweden)

    Alexandru Maries

    2013-11-01

    Full Text Available The Test of Understanding Graphs in Kinematics (TUG-K is a multiple-choice test developed by Beichner in 1994 to assess students’ understanding of kinematics graphs. Many of the items on the TUG-K have strong distractor choices which correspond to students’ common difficulties with kinematics graphs. Instruction is unlikely to be effective if instructors do not know the common difficulties of introductory physics students and explicitly take them into account in their instructional design. We evaluate one aspect of the pedagogical content knowledge of first-year physics graduate students enrolled in a teaching assistant training course related to topics covered in the TUG-K. In particular, for each item on the TUG-K, the graduate students were asked to identify which incorrect answer choice they thought would be most commonly selected by introductory physics students if they did not know the correct answer after instruction in relevant concepts. We used the graduate student data and the data from Beichner’s original paper for introductory physics students (which was collected from over 500 college and high school students to assess this aspect of the pedagogical content knowledge of the graduate students, i.e., knowledge of student difficulties related to kinematics graphs as they are revealed by the TUG-K. We find that, although the graduate students, on average, performed better than random guessing at identifying introductory student difficulties on the TUG-K, they did not identify many common difficulties that introductory students have with graphs in kinematics. In addition, we find that the ability of graduate students to identify the difficulties of introductory students is context dependent and that discussions among the graduate students improved their understanding of student difficulties related to kinematics graphs. Moreover, we find that the ability of American graduate students in identifying common student difficulties is

  14. Systemic thinking fundamentals for understanding problems and messes

    CERN Document Server

    Hester, Patrick T

    2014-01-01

    Whether you’re an academic or a practitioner, a sociologist, a manager, or an engineer, one can benefit from learning to think systemically.  Problems (and messes) are everywhere and they’re getting more complicated every day.  How we think about these problems determines whether or not we’ll be successful in understanding and addressing them.  This book presents a novel way to think about problems (and messes) necessary to attack these always-present concerns.  The approach draws from disciplines as diverse as mathematics, biology, and psychology to provide a holistic method for dealing with problems that can be applied to any discipline. This book develops the systemic thinking paradigm, and introduces practical guidelines for the deployment of a systemic thinking approach.

  15. Systems biology for understanding and engineering of heterotrophic oleaginous microorganisms.

    Science.gov (United States)

    Park, Beom Gi; Kim, Minsuk; Kim, Joonwon; Yoo, Heewang; Kim, Byung-Gee

    2017-01-01

    Heterotrophic oleaginous microorganisms continue to draw interest as they can accumulate a large amount of lipids which is a promising feedstock for the production of biofuels and oleochemicals. Nutrient limitation, especially nitrogen limitation, is known to effectively trigger the lipid production in these microorganisms. For the aim of developing improved strains, the mechanisms behind the lipid production have been studied for a long time. Nowadays, system-level understanding of their metabolism and associated metabolic switches is attainable with modern systems biology tools. This work reviews the systems biology studies, based on (i) top-down, large-scale 'omics' tools, and (ii) bottom-up, mathematical modeling methods, on the heterotrophic oleaginous microorganisms with an emphasis on further application to metabolic engineering. Copyright © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. System Behaviour Charts Inform an Understanding of Biodiversity Recovery

    Directory of Open Access Journals (Sweden)

    Simon A. Black

    2015-01-01

    Full Text Available Practitioners working with species and ecosystem recovery typically deal with the complexity of, on one hand, lack of data or data uncertainties and, on the other hand, demand for critical decision-making and intervention. The control chart methods of commercial and industrial and environmental monitoring can complement an ecological understanding of wildlife systems including those situations which incorporate human activities and land use. Systems Behaviour Charts are based upon well-established control chart methods to provide conservation managers with an approach to using existing data and enable insight to aid timely planning of conservation interventions and also complement and stimulate research into wider scientific and ecological questions. When the approach is applied to existing data sets in well-known wildlife conservation cases, the subsequent Systems Behaviour Charts and associated analytical criteria demonstrate insights which would be helpful in averting problems associated with each case example.

  17. Conceptualizing In-service Secondary School Science Teachers' Knowledge Base for Promoting Understanding about the Science of Global Climate Change

    Science.gov (United States)

    Bhattacharya, Devarati

    Efforts to adapt and mitigate the effects of global climate change (GCC) have been ongoing for the past two decades and have become a major global concern. However, research and practice for promoting climate literacy and understanding about GCC have only recently become a national priority. The National Research Council (NRC), has recently emphasized upon the importance of developing learners' capacity of reasoning, their argumentation skills and understanding of GCC (Framework for K-12 Science Education, National Research Council, 2012). This framework focuses on fostering conceptual clarity about GCC to promote innovation, resilience, and readiness in students as a response towards the threat of a changing environment. Previous research about teacher understanding of GCC describes that in spite of the prevalent frameworks like the AAAS Science Literacy Atlas (AAAS, 2007) and the Essential Principles for Climate Literacy (United States Global Climate Research Program, 2009; Bardsley, 2007), most learners are challenged in understanding the science of GCC (Michail et al., 2007) and misinformed perceptions about basic climate science content and the role of human activities in changing climate remain persistent (Reibich and Gautier, 2006). Our teacher participants had a rather simplistic knowledge structure. While aware of climate change, teacher participants lacked in depth understanding of how change in climate can impact various ecosystems on the Earth. Furthermore, they felt overwhelmed with the extensive amount of information needed to comprehend the complexity in GCC. Hence, extensive efforts not only focused on assessing conceptual understanding of GCC but also for teaching complex science topics like GCC are essential. This dissertation explains concept mapping, and the photo elicitation method for assessing teachers' understanding of GCC and the use of metacognitive scaffolding in instruction of GCC for developing competence of learners in this complex

  18. Seventh International Conference on Intelligent Systems and Knowledge Engineering - Foundations and Applications of Intelligent Systems

    CERN Document Server

    Li, Tianrui; Li, Hongbo

    2014-01-01

    These proceedings present technical papers selected from the 2012 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2012), held on December 15-17 in Beijing. The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new findings and perspectives on future developments. The proceedings introduce current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, knowledge engineering, information retrieval, information theory, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, and natural-language processing, etc. Furthermore they include papers on new intelligent computing paradigms, which combine new computing methodologies, e.g., cloud computing, service computing and pervasive computing with traditional intelligent methods. By presenting new method...

  19. Using Geographic Information Systems in Knowledge Management Processes

    Directory of Open Access Journals (Sweden)

    Dr. Filiz Gürder

    2013-07-01

    Full Text Available Nowadays, organizations are required to develop quick and accurate responses to internal and external changes that gain momentum. In this context, knowledge management activities become more important to all organizations. On the other hand, Geographic Information Systems (GIS become common more and more. GIS which address a broad spectrum of users such as public agencies, local communities, civil society organizations, the private sector, academic environment, and personal users have been aiming to solve problems which occurred in location-based areas. GIS are important to get, combine, analyze and transfer the spatial data. Common use of PCs for personal needs, digital geography and improvements of software technologies, also the need to make socially acceptable business decisions facilitated development and widespread use of GIS applications. The main purpose of this paper is to discuss using areas and contribution potentials of GIS in enterprise-wide knowledge management processes.

  20. Understanding the behavior of floodplains as human-water systems

    Science.gov (United States)

    Di Baldassarre, G.; Brandimarte, L.

    2012-12-01

    Floodplains are among the most valuable ecosystems for supporting biodiversity and providing services to the environment. Moreover, they are home of approximately one-sixth of the world population as they offer favorable conditions for economic development. As a result, flood disasters currently affect more than 100 million people a year. Sadly, flood losses and fatalities are expected to increase further in many countries because of population growth as well as changes in land use and climate. Given the relevance of floodplain systems, a number of social scientists have examined how the frequency and severity of flooding often determine whether human development in floodplains is desirable or not. Meanwhile, many earth scientists have investigated the impact of human activities (e.g. land-use changes, urbanization, river training) on the frequency and magnitude of floods. In fact, as human activities change the frequency of flooding, the frequency of flooding affects human developments in floodplain areas. Yet, these dynamic interactions between floods and societies and the associated feedback mechanisms remain largely unexplored and poorly understood. As a result, we typically consider humans as external forcing (or boundary condition) without representing the feedback loops and our prediction of future trajectories are therefore extremely limited. This presentation shows a first attempt to understand the behavior of floodplains as coupled human-water systems. In particular, we analyzed a number of long time series of hydrological and population data in the Po River Basin (Italy) to explore the feedback mechanisms, reciprocal effects, surprises, and threshold mechanisms, taking place in floodplain systems. The outcomes of the study enable a better understanding of how the occurrences of floods shape human developments while, at the same time, human activities shape the magnitude and frequency of floods. The presentation also discusses the opportunities offered by

  1. The cooperative learning: Understanding and increasing the knowledge of the facilities design without a professor extra effort

    Directory of Open Access Journals (Sweden)

    C. Ferrera

    2014-09-01

    Full Text Available Lecturing has been prevailing in higher education. This teaching and learning model hinders the understanding of fundamental concepts in practical courses. The cooperative learning allows an improvement in the student’s achievements, attitudes and persistence. The main goal of this work is to implement the cooperative learning in the teaching of the design of industrial facilities. This methodology aims to solve part of the problems of recently graduate students when they undertake engineering projects lacking knowledge. Finally, the results of an end-of-course satisfaction survey, conducted to assess this experience, are also presented.

  2. Linking Hunter Knowledge with Forest Change to Understand Changing Deer Harvest Opportunities in Intensively Logged Landscapes

    Directory of Open Access Journals (Sweden)

    Todd J. Brinkman

    2009-06-01

    Full Text Available The effects of landscape changes caused by intensive logging on the availability of wild game are important when the harvest of wild game is a critical cultural practice, food source, and recreational activity. We assessed the influence of extensive industrial logging on the availability of wild game by drawing on local knowledge and ecological science to evaluate the relationship between forest change and opportunities to harvest Sitka black-tailed deer (Odocoileus hemionus sitkensis on Prince of Wales Island, Alaska. We used data collected through interviews with local deer hunters and GIS analysis of land cover to determine relationships among landscape change, hunter access, and habitat for deer hunting over the last 50 yr. We then used these relationships to predict how harvest opportunities may change in the future. Intensive logging from 1950 into the 1990s provided better access to deer and habitat that facilitated deer hunting. However, successional changes in intensively logged forests in combination with a decline in current logging activity have reduced access to deer and increased undesirable habitat for deer hunting. In this new landscape, harvest opportunities in previously logged landscapes have declined, and hunters identify second-growth forest as one of the least popular habitats for hunting. Given the current state of the logging industry in Alaska, it is unlikely that the logging of the remaining old-growth forests or intensive management of second-growth forests will cause hunter opportunities to rebound to historic levels. Instead, hunter opportunities may continue to decline for at least another human generation, even if the long-term impacts of logging activity and deer harvest on deer numbers are minimal. Adapting hunting strategies to focus on naturally open habitats such as alpine and muskeg that are less influenced by external market forces may require considerably more hunting effort but provide the best option for

  3. ABOUT ONE APPROACH OF TESTING GEOMETRICAL KNOWLEDGE SYSTEM BUILDING.

    Directory of Open Access Journals (Sweden)

    M. Lvov

    2014-04-01

    Full Text Available The paper presents an approach to testing system building of procedural geometric knowledge, i.e. knowledge of basic computational formulas and skills to use them. This approach consists in constructing the mathematical models for each academic module in Geometry. The main constructing objects are the templates of tests which represent mathematical models of tests set in general terms. Template of similar tests class is represented by a geometric drawing, formula-correlations system binding the elements of the drawing, by templates of test conditions and template of response. Each such template is used both in generating algorithms of similar specific tests’ plurality and algorithms of automatic validation of responses’ correctness. The proposed method makes it possible to describe a relatively simple class of specific tests. An important feature of the system is the ability to automatically check not only the final answer, but the intermediate answer formulas. For the implementation of the testing system is necessary to use methods of computer algebra and algebraic programming technology.

  4. A Knowledge Based Recommender System with Multigranular Linguistic Information

    Directory of Open Access Journals (Sweden)

    Luis Martinez

    2008-08-01

    Full Text Available Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could be a very difficult and time-consuming task. Recommender systems assist users to find out suitable items by means of recommendations based on information provided by different sources such as: other users, experts, item features, etc. Most of the recommender systems force users to provide their preferences or necessities using an unique numerical scale of information fixed in advance. In spite of this information is usually related to opinions, tastes and perceptions, therefore, it seems that is usually better expressed in a qualitative way, with linguistic terms, than in a quantitative way, with precise numbers. We propose a Knowledge Based Recommender System that uses the fuzzy linguistic approach to define a flexible framework to capture the uncertainty of the user's preferences. Thus, this framework will allow users to express their necessities in scales closer to their own knowledge, and different from the scale utilized to describe the items.

  5. Spoken Language Understanding Systems for Extracting Semantic Information from Speech

    CERN Document Server

    Tur, Gokhan

    2011-01-01

    Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, usin

  6. Understanding Absorptive Capacities is an "Innovation Systems" Context

    DEFF Research Database (Denmark)

    Narula, Rajneesh

    2004-01-01

    This paper seeks to broaden our understanding of the concept underlying absorptive capacity atthe macro -level, paying particular attention to the growth and development perspectives. Weprovide definitions of absorptive and technological capacity, external technology flows,productivity growth......, employment creation and their interrelations. We then analyse the elementsof absorptive capability, focusing on the nature of the relationship within a systems view of aneconomy, focusing primarily on the role of firm and non-firm actors and the institutions thatconnect them, both within and across borders...

  7. Knowledge-Based Systems in Biomedicine and Computational Life Science

    CERN Document Server

    Jain, Lakhmi

    2013-01-01

    This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: ·         personalized stress diagnosis system ·         image analysis system for breast cancer diagnosis ·         analysis of neuronal cell images ·         structure prediction of protein ·         relationship between two mental disorders ·         detection of cardiac abnormalities ·         holistic medicine based treatment ·         analysis of life-science data  

  8. Next Generation Agricultural System Data, Models and Knowledge Products: Introduction

    Science.gov (United States)

    Antle, John M.; Jones, James W.; Rosenzweig, Cynthia E.

    2016-01-01

    Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a 'NextGen' study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

  9. Systems biology approaches to understand natural products biosynthesis

    Directory of Open Access Journals (Sweden)

    Cuauhtemoc eLicona-Cassani

    2015-12-01

    Full Text Available Actinomycetes populate soils and aquatic sediments which impose biotic and abiotic challenges for their survival. As a result, actinomycetes metabolism and genomes have evolved to produce an overwhelming diversity of specialized molecules. Polyketides, non-ribosomal peptides, post-translationally modified peptides, lactams and terpenes are well known bioactive natural products with enormous industrial potential. Accessing such biological diversity has proven difficult due to the complex regulation of cellular metabolism in actinomycetes and to the sparse knowledge of their physiology. The past decade, however, has seen the development of omics technologies that have significantly contributed to our better understanding of their biology. Key observations have contributed towards a shift in the exploitation of actinomycetes biology, such as using their full genomic potential, activating entire pathways through key metabolic elicitors and pathway engineering to improve biosynthesis. Here, we review recent efforts devoted to achieving enhanced discovery, activation and manipulation of natural product biosynthetic pathways in model actinomycetes using genome-scale biological datasets.

  10. Will smart surveillance systems listen, understand and speak Slovene?

    Directory of Open Access Journals (Sweden)

    Simon Dobrišek

    2013-12-01

    Full Text Available The paper deals with the spoken language technologies that could enable the so-called smart (intelligent surveillance systems to listen, understand and speak Slovenian in the near future. Advanced computational methods of artificial perception and pattern recognition enable such systems to be at least to some extent aware of the environment, the presence of people and other phenomena that could be subject to surveillance. Speech is one such phenomenon that has the potential to be a key source of information in certain security situations. Technologies that enable automatic speech and speaker recognition as well as their psychophysical state by computer analysis of acoustic speech signals provide an entirely new dimension to the development of smart surveillance systems. Automatic recognition of spoken threats, screaming and crying for help, as well as a suspicious psycho-physical state of a speaker provide such systems to some extent with intelligent behaviour. The paper investigates the current state of development of these technologies and the requirements and possibilities of these systems to be used for the Slovenian spoken language, as well as different possible security application scenarios. It also addresses the broader legal and ethical issues raised by the development and use of such technologies, especially as audio surveillance is one of the most sensitive issues of privacy protection.

  11. Integrating Local Experiential and Hydrometeorological Data to Understand Knowledge Uncertainties and to Build Resilience to Flooding in Two Puerto Rican Communities.

    Science.gov (United States)

    Ramsey, M.; Nytch, C. J.; Branoff, B.

    2016-12-01

    Socio-hydrological studies that explore feedbacks between social and biophysical processes related to flood risk can help managers identify strategies that increase a community's freshwater security. However, knowledge uncertainty due to coarse spatio-temporal coverage of hydrological monitoring data, missing riverine discharge and precipitation records, assumptions of flood risk models, and effects of urbanization, can limit the ability of these studies to isolate hydrological responses to social drivers of flooding and a changing climate. Local experiential knowledge can provide much needed information about 1) actual flood spatio-temporal patterns, 2) human impacts and perceptions of flood events, and 3) mechanisms to validate flood risk studies and understand key social elements of the system. We addressed these knowledge gaps by comparing the location and timing of flood events described in resident interviews and resident drawn maps (total = 97) from two San Juan communities with NOAA and USGS precipitation and riverine discharge data archives, and FEMA flood maps. Analyses of five focal flood events revealed 1) riverine monitoring data failed to record a major flood event caused by localized blockage of the river, 2) residents did not mention multiple extreme riverine discharge events, 3) resident and FEMA flood maps matched closely but resident maps provided finer spatial information about frequency of flooding, and 4) only a small percentage of residents remembered the dates of flood events. Local knowledge provided valuable social data about flood impacts on human economic and physical/psychological wellbeing, perceptions about factors causing flooding, and what residents use as sources of flood information. A simple mechanism or tool for residents to record their flood experiences in real-time will address the uncertainties in local knowledge and improve social memory. The integration of local experiential knowledge with simulated and empirical hydro

  12. Creativity Understandings, Evolution: from Genius to Creative Systems

    Directory of Open Access Journals (Sweden)

    Jūratė Černevičiūtė

    2014-10-01

    Full Text Available The understanding of creativity in the social sciencies became more complex with the course of time. The concepts of creative individual, creative process and environment are discussed. Looking at the environment, distinction was made on three levels: macro, meso and micro. The impact of environments on creativity is analyzed, focusing attention on the collective creativity as the positive micro-environmental factor for innovations. Insights are gained about the tendency to move from an exclusive, elite, narrow concept of creativity, measured by the creation of products and their abundance, towards a broader, democratic concept of everyday creativity of the most people. The conclusion is that the creative industries of the exceptional creativity of genius or talent and mysticism are gradually transformed to broader creativity as the governed system, emphasizing creativity links with internal elements of the system and with the social context.

  13. Conference | The Big Bang and the interfaces of knowledge: towards a common understanding of Truth? | 25 June

    CERN Multimedia

    2014-01-01

    You are cordially invited to attend the concluding open session of the conference The Big Bang and the interfaces of knowledge: towards a common understanding of Truth?    Wednesday 25 June at 14.30 in the Main Auditorium Please register by Tuesday 24 June at: https://indico.cern.ch/event/325739/ In 2012, CERN and Wilton Park hosted the pioneering international conference “The Big Bank and the interfaces of knowledge: towards a common language?” The purpose of this conference was to enable scientists from a range of disciplines to dialogue with philosophers and theologians from the world religions about the nature of the Big Bang. What understandings might scientists and theologians share in common? How are their paradigms shaped and developed? Is it possible to develop a common framework or language. The conference gained global attention. A follow-up conference will be held on 23-25 June 2014 with the purpose of widening the spectrum of...

  14. Knowledge-based support system for requirement elaboration in design

    International Nuclear Information System (INIS)

    Furuta, Kazuo; Kondo, Shunsuke

    1994-01-01

    Design requirements are the seeds of every design activity, but elicitation and formalization of them are not easy tasks. This paper proposes a method to support designers in such requirement elaboration process with a computer. In this method the cognitive work space of designers is modeled by abstraction and structural hierarchies, and supporting functions of knowledge-based requirement elaboration, requirement classification and assessment of contentment status of requirements are provided on this framework. A prototype system was developed and tested using fast breeder reactor design. (author)

  15. Knowledge-based operation and management of communications systems

    Science.gov (United States)

    Heggestad, Harold M.

    1988-01-01

    Expert systems techniques are being applied in operation and control of the Defense Communications System (DCS), which has the mission of providing reliable worldwide voice, data and message services for U.S. forces and commands. Thousands of personnel operate DCS facilities, and many of their functions match the classical expert system scenario: complex, skill-intensive environments with a full spectrum of problems in training and retention, cost containment, modernization, and so on. Two of these functions are: (1) fault isolation and restoral of dedicated circuits at Tech Control Centers, and (2) network management for the Defense Switched Network (the modernized dial-up voice system currently replacing AUTOVON). An expert system for the first of these is deployed for evaluation purposes at Andrews Air Force Base, and plans are being made for procurement of operational systems. In the second area, knowledge obtained with a sophisticated simulator is being embedded in an expert system. The background, design and status of both projects are described.

  16. Creating a Context for Learning: Activating Children’s Whole Number Knowledge Prepares Them to Understand Fraction Division

    Directory of Open Access Journals (Sweden)

    Pooja Gupta Sidney

    2017-07-01

    Full Text Available When children learn about fractions, their prior knowledge of whole numbers often interferes, resulting in a whole number bias. However, many fraction concepts are generalizations of analogous whole number concepts; for example, fraction division and whole number division share a similar conceptual structure. Drawing on past studies of analogical transfer, we hypothesize that children’s whole number division knowledge will support their understanding of fraction division when their relevant prior knowledge is activated immediately before engaging with fraction division. Children in 5th and 6th grade modeled fraction division with physical objects after modeling a series of addition, subtraction, multiplication, and division problems with whole number operands and fraction operands. In one condition, problems were blocked by operation, such that children modeled fraction problems immediately after analogous whole number problems (e.g., fraction division problems followed whole number division problems. In another condition, problems were blocked by number type, such that children modeled all four arithmetic operations with whole numbers in the first block, and then operations with fractions in the second block. Children who solved whole number division problems immediately before fraction division problems were significantly better at modeling the conceptual structure of fraction division than those who solved all of the fraction problems together. Thus, implicit analogies across shared concepts can affect children’s mathematical thinking. Moreover, specific analogies between whole number and fraction concepts can yield a positive, rather than a negative, whole number bias.

  17. CD-KES: An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach.

    Science.gov (United States)

    Wu, Chengkai; Gou, Ling; Wang, Yu; Shang, Yong; Tian, Yu; Li, Jing-Song

    2017-01-01

    Patients' participation plays a crucial role in the management of chronic diseases. Educating patients about their diseases allows patients to self-regulate their daily health conditions more reasonably and effectively. This study focuses on an informative way to develop daily education and guidance among patients. We provide a systematic approach to establish, process, and present the knowledge map of chronic diseases. An ontology technique is used to model clinical knowledge and rules. Rule-based inference service is constructed based on the RETE reasoning algorithm. Several considerations in semantic visualization and interaction are listed as recommendations. A prototype of Chronic Disease Knowledge Education System (CD-KES) based on this approach has been built for diabetes mellitus. With the prototype, comparative evaluations for system performances in knowledge querying and browsing are taken. The results shows the system can help patients to more easily understand medical knowledge and avoid potential negative consequences.

  18. Transferring Knowledge: A Parallel between Teaching Chemical Engineering and Developing Expert Systems.

    Science.gov (United States)

    Roberge, P. R.

    1990-01-01

    Discussed are expert systems development and teaching, the representation and processing of knowledge, knowledge representation in chemical engineering, and expert systems in chemical engineering. The seven phases of expert system development are illustrated. (CW)

  19. Design of customer knowledge management system for Aglaonema Nursery in South Tangerang, Indonesia

    Science.gov (United States)

    Sugiarto, D.; Mardianto, I.; Dewayana, TS; Khadafi, M.

    2017-12-01

    The purpose of this paper is to describe the design of customer knowledge management system to support customer relationship management activities for an aglaonema nursery in South Tangerang, Indonesia. System. The steps were knowledge identification (knowledge about customer, knowledge from customer, knowledge for customer), knowledge capture, codification, analysis of system requirement and create use case and activity diagram. The result showed that some key knowledge were about supporting customer in plant care (know how) and types of aglaonema including with the prices (know what). That knowledge for customer then codified and shared in knowledge portal website integrated with social media. Knowledge about customer were about customers and their behaviour in purchasing aglaonema. Knowledge from customer were about feedback, favorite and customer experience. Codified knowledge were placed and shared using content management system based on wordpress.

  20. Framework for managing shared knowledge in an information systems outsourcing context

    CSIR Research Space (South Africa)

    Smuts, H

    2017-11-01

    Full Text Available Both information systems (IS) outsourcing and knowledge management are well-established business phenomena. The integration of shared knowledge in an IS outsourcing arrangement, represents the blending of organisational knowledge with external...

  1. On the different "worlds" of intra-organizational knowledge management: Understanding idiosyncratic variation in MNC cross-site knowledge-sharing practices.

    Science.gov (United States)

    Kasper, Helmut; Lehrer, Mark; Mühlbacher, Jürgen; Müller, Barbara

    2013-02-01

    This qualitative field study investigated cross-site knowledge sharing in a small sample of multinational corporations in three different MNC business contexts (global, multidomestic, transnational). The results disclose heterogeneous "worlds" of MNC knowledge sharing, ultimately raising the question as to whether the whole concept of MNC knowledge sharing covers a sufficiently unitary phenomenon to be meaningful. We derive a non-exhaustive typology of MNC knowledge-sharing practices: self-organizing knowledge sharing, technocratic knowledge sharing, and best practice knowledge sharing. Despite its limitations, this typology helps to elucidate a number of issues, including the latent conflict between two disparate theories of MNC knowledge sharing, namely "sender-receiver" and "social learning" theories (Noorderhaven & Harzing, 2009). More generally, we develop the term "knowledge contextualization" to highlight the way that firm-specific organizational features pre-define which knowledge is considered to be of special relevance for intra-organizational sharing.

  2. The Power of a Question: A Case Study of Two Organizational Knowledge Capture Systems

    Science.gov (United States)

    Cooper, Lynn P.

    2003-01-01

    This document represents a presentation regarding organizational knowledge capture systems which was delivered at the HICSS-36 conference held from January 6-9, 2003. An exploratory case study of two knowledge resources is offered. Then, two organizational knowledge capture systems are briefly described: knowledge transfer from practitioner and the use of questions to represent knowledge. Finally, the creation of a database of peer review questions is suggested as a method of promoting organizational discussions and knowledge representation and exchange.

  3. A System for Managing Critical Knowledge for Accelerator Subsystems: Pansophy

    International Nuclear Information System (INIS)

    C. Reece; V. Bookwalter; B. Madre

    2001-01-01

    Accelerator development and construction projects often intentionally push the envelope of well-established technical performance and manageable complexity. In addition, the desire for efficient retention and exploitation of accumulated experience across the multi-decade life cycles of major installations calls for a robust, yet user-friendly knowledge management system. To meet these needs, we are presently deploying a new web-based system at Jefferson Lab: Pansophy. This system is a custom integration of several commercial software utilities, DocushareTM, ColdFusionTM, MatlabTM, IngresTM, and common desktop programs. Users of the system range from process managers, shop-floor technicians, test engineers, to after-the-fact data miners and operations staff. The system integrates important QA elements of procedural control, automated data accumulation into a secured central database, prompt and reliable data query and retrieval, and online analysis tools, all accessed by the user via their platform-independent web browser. A system overview, completed pilot project, and implementation experience to date will be presented

  4. Understanding Resilient Urban Futures: A Systemic Modelling Approach

    Directory of Open Access Journals (Sweden)

    Ralph Chapman

    2013-07-01

    Full Text Available The resilience of cities in response to natural disasters and long-term climate change has emerged as a focus of academic and policy attention. In particular, how to understand the interconnectedness of urban and natural systems is a key issue. This paper introduces an urban model that can be used to evaluate city resilience outcomes under different policy scenarios. The model is the Wellington Integrated Land Use-Transport-Environment Model (WILUTE. It considers the city (i.e., Wellington as a complex system characterized by interactions between a variety of internal urban processes (social, economic and physical and the natural environment. It is focused on exploring the dynamic relations between human activities (the geographic distribution of housing and employment, infrastructure layout, traffic flows and energy consumption, environmental effects (carbon emissions, influences on local natural and ecological systems and potential natural disasters (e.g., inundation due to sea level rise and storm events faced under different policy scenarios. The model gives insights that are potentially useful for policy to enhance the city’s resilience, by modelling outcomes, such as the potential for reduction in transportation energy use, and changes in the vulnerability of the city’s housing stock and transport system to sea level rise.

  5. USING SCIENTIFIC PAPERS TO STIMULATE THE STUDY OF BIOCHEMISTRY AND THE UNDERSTANDING OF SCIENTIFIC KNOWLEDGE CONSTRUCTION: THE RESEARCH ON ADRENOLEUKODYSTROPHY

    Directory of Open Access Journals (Sweden)

    R. B. Gagianone

    2015-08-01

    understanding of mechanisms completely unknown by the time of LO development and also the comprehension of scientific knowledge construction through a playful and participative activity.AcknowledgementsWe thank Prograd-UFF for scholarship supply.Key wordsAdrenoleukodystrophy; Biochemistry teaching; scientific knowledge

  6. Organic Aggregation of Knowledge Object in Educational Systems

    Directory of Open Access Journals (Sweden)

    Gilbert Paquette

    2002-10-01

    Full Text Available We propose an organic approach to educational web-based systems where learning objects, operations on these objects, and actors that perform them are aggregated in meaningful ways. The users of a learning system must be able to observe it globally, at different levels and from diverse viewpoints. They must be able to propose adaptations and improvements constantly using means of observation integrated with the means of action. For this, we need to provide inspectable and executable models of the learning system, to be used as prisms for understanding and control of operations. We propose to reference these models with educational ontologies developed for instructional engineering. The implementation of some of these ideas in the Explor@-II system provides examples. Conversely, the next Explor@ implementation will benefit from the discussion presented here.

  7. Engagement with indigenous peoples and honoring traditional knowledge systems

    Science.gov (United States)

    Maldonado, Julie; Bennett, Bull; Chief, Karletta; Cochran, Patricia; Cozetto, Karen; Gough, Bob; Hiza-Redsteer, Margaret M.; Lynn, Kathy; Maynard, Nancy; Voggesser, Garrit

    2016-01-01

    The organizers of the 2014 US National Climate Assessment (NCA) made a concerted effort to reach out to and collaborate with Indigenous peoples, resulting in the most comprehensive information to date on climate change impacts to Indigenous peoples in a US national assessment. Yet, there is still much room for improvement in assessment processes to ensure adequate recognition of Indigenous perspectives and Indigenous knowledge systems. This article discusses the process used in creating the Indigenous Peoples, Land, and Resources NCA chapter by a team comprised of tribal members, agencies, academics, and non-governmental organizations, who worked together to solicit, collect, and synthesize traditional knowledges and data from a diverse array of Indigenous communities across the US. It also discusses the synergy and discord between traditional knowledge systems and science and the emergence of cross-cutting issues and vulnerabilities for Indigenous peoples. The challenges of coalescing information about climate change and its impacts on Indigenous communities are outlined along with recommendations on the types of information to include in future assessment outputs. We recommend that future assessments – not only NCA, but other relevant local, regional, national, and international efforts aimed at the translation of climate information and assessments into meaningful actions – should support integration of Indigenous perspectives in a sustained way that builds respectful relationships and effectively engages Indigenous communities. Given the large number of tribes in the US and the current challenges and unique vulnerabilities of Indigenous communities, a special report focusing solely on climate change and Indigenous peoples is warranted.This article is part of a special issue on “The National Climate Assessment: Innovations in Science and Engagement” edited by Katharine Jacobs, Susanne Moser, and James Buizer.

  8. Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems

    Science.gov (United States)

    Fox, P.

    2012-04-01

    The vast majority of explorations of the Earth's systems are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Recent successes in the application of complex network theory and algorithms to climate data, raise expectations that more general graph-based approaches offer the opportunity for new discoveries. In the past ~ 5 years in the natural sciences there has substantial progress in providing both specialists and non-specialists the ability to describe in machine readable form, geophysical quantities and relations among them in meaningful and natural ways, effectively breaking the prior syntax barrier. The corresponding open-world semantics and reasoning provide higher-level interconnections. That is, semantics provided around the data structures, using semantically-equipped tools, and semantically aware interfaces between science application components allowing for discovery at the knowledge level. More recently, formal semantic approaches to continuous and aggregate physical processes are beginning to show promise and are soon likely to be ready to apply to geoscientific systems. To illustrate these opportunities, this presentation presents two application examples featuring domain vocabulary (ontology) and property relations (named and typed edges in the graphs). First, a climate knowledge discovery pilot encoding and exploration of CMIP5 catalog information with the eventual goal to encode and explore CMIP5 data. Second, a multi-stakeholder knowledge network for integrated assessments in marine ecosystems, where the data is highly inter-disciplinary.

  9. Process-Based Mission Assurance- Knowledge Management System

    Science.gov (United States)

    Kantzes, Zachary S.; Wander, Stephen; Otero, Suzanne; Vantine, William; Stuart, Richard

    2005-12-01

    The Process-Based Mission Assurance - Knowledge Management System (PBMA-KMS) implemented at the National Aeronautics and Space Administration (NASA) focuses on the practical application of the knowledge management (KM) theory and is based on a systems engineering management approach coupled to a continual improvement and risk management philosophy. Not to be confused with an Agency mandate, an intense focus has been placed on grassroots input to the future of the product. By providing emphasis to both Agency safety and mission success objectives and individual users' needs, the PBMA-KMS team has been able to be both reactive to Agency requirements and proactive to the needs of the community.PBMA-KMS is an excellent case study on how to use new approaches to facilitate and integrate safety into the culture of an organization. Principle discussion topics include: • Overarching themes,• Tactical approaches,• Highlights of key functionalities, and• Agency KM approach of managed Darwinism.PBMA-KMS can show how, by providing top-level guidance along with the necessary tools and support, the organization not only receives immediate value, but the long-ranging benefits of a more experienced, effective, and engaged workforce.

  10. Foundations of Intelligent Systems : Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui

    2012-01-01

    Proceedings of The Sixth International Conference on Intelligent System and Knowledge Engineering presents selected papers from the conference ISKE 2011, held December 15-17 in Shanghai, China. This proceedings doesn’t only examine original research and approaches in the broad areas of intelligent systems and knowledge engineering, but also present new methodologies and practices in intelligent computing paradigms. The book introduces the current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, information retrieval, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, natural-language processing, etc. Furthermore, new computing methodologies are presented, including cloud computing, service computing and pervasive computing with traditional intelligent methods. The proceedings will be beneficial for both researchers and practitioners who want to utilize intelligent methods in their specific resea...

  11. Knowledge acquisition and interface design for learning on demand systems

    Science.gov (United States)

    Nelson, Wayne A.

    1993-01-01

    The rapid changes in our world precipitated by technology have created new problems and new challenges for education and training. A knowledge 'explosion' is occurring as our society moves toward a service oriented economy that relies on information as the major resource. Complex computer systems are beginning to dominate the workplace, causing alarming growth and change in many fields. The rapidly changing nature of the workplace, especially in fields related to information technology, requires that our knowledge be updated constantly. This characteristic of modern society poses seemingly unsolvable instructional problems involving coverage and obsolescence. The sheer amount of information to be learned is rapidly increasing, while at the same time some information becomes obsolete in light of new information. Education, therefore, must become a lifelong process that features learning of new material and skills as needed in relation to the job to be done. Because of the problems cited above, the current model of learning in advance may no longer be feasible in our high-technology world. In many cases, learning in advance is impossible because there are simply too many things to learn. In addition, learning in advance can be time consuming, and often results in decontextualized knowledge that does not readily transfer to the work environment. The large and growing discrepancy between the amount of potentially relevant knowledge available and the amount a person can know and remember makes learning on demand an important alternative to current instructional practices. Learning on demand takes place whenever an individual must learn something new in order to perform a task or make a decision. Learning on demand is a promising approach for addressing the problems of coverage and obsolescence because learning is contextualized and integrated into the task environment rather than being relegated to a separate phase that precedes work. Learning on demand allows learners

  12. Competency development information system - Knowledge management based competency development management tool

    International Nuclear Information System (INIS)

    Aminuddin, R.; Zainuddin, Z.; Taib, Z.; Hamid, A.H.Ab.; Hamdan, S.N.

    2007-01-01

    Full text: Knowledge identification, acquisition, sharing, preservation and measurement are some of the desired habits and processes necessary for knowledge management to be effective and contributes to increased innovation, organizational value, competitiveness and sustainability. The knowledge workers in the K-economic era are expected to be an innovative knowledge professional who are capable of managing their own work as well as their own competency development. Organizations however need to provide an environment, tools and policies to support and encourage learning and knowledge acquisition in all forms, methods and approaches beyond what is traditionally done. For an ordinary knowledge professional, he is only interested in developing the necessary competency to complete his assigned tasks and progress in his career. He would not be interested to learn and be lectured on knowledge management or learning principles and concepts. But for the organization it is not only important that its staff members understand and able to go through the process of acquiring the necessary skills to carry out their current and future tasks at the right time, but it has to ensure that what they learn or their individual knowledge is converted into organizational knowledge, utilised, shared and preserved. Hence it is important that tools are provided and policies are set in place to ensure that staff identify, acquire, utilise, share and preserve knowledge necessary for organizational sustainability and growth. A Competency Development Information System was recently developed to address the issue of inculcating the habit of identifying, acquiring, utilising, sharing, preserving and measuring knowledge among staff members hands-on by doing and repeating without having to learn the theory first. Besides that it helps organization manage competency development processes from analysis to planning, implementing and right through to evaluation. The process starts from capturing

  13. What is health systems responsiveness? Review of existing knowledge and proposed conceptual framework.

    Science.gov (United States)

    Mirzoev, Tolib; Kane, Sumit

    2017-01-01

    Responsiveness is a key objective of national health systems. Responsive health systems anticipate and adapt to existing and future health needs, thus contributing to better health outcomes. Of all the health systems objectives, responsiveness is the least studied, which perhaps reflects lack of comprehensive frameworks that go beyond the normative characteristics of responsive services. This paper contributes to a growing, yet limited, knowledge on this topic. Herewith, we review the current frameworks for understanding health systems responsiveness and drawing on these, as well as key frameworks from the wider public services literature, propose a comprehensive conceptual framework for health systems responsiveness. This paper should be of interest to different stakeholders who are engaged in analysing and improving health systems responsiveness. Our review shows that existing knowledge on health systems responsiveness can be extended along the three areas. First, responsiveness entails an actual experience of people's interaction with their health system, which confirms or disconfirms their initial expectations of the system. Second, the experience of interaction is shaped by both the people and the health systems sides of this interaction. Third, different influences shape people's interaction with their health system, ultimately affecting their resultant experiences. Therefore, recognition of both people and health systems sides of interaction and their key determinants would enhance the conceptualisations of responsiveness. Our proposed framework builds on, and advances, the core frameworks in the health systems literature. It positions the experience of interaction between people and health system as the centrepiece and recognises the determinants of responsiveness experience both from the health systems (eg, actors, processes) and the people (eg, initial expectations) sides. While we hope to trigger further thinking on the conceptualisation of health system

  14. Implement and Research on the Expression Methods of Knowledge for the Expert System of Rotary Kiln

    Directory of Open Access Journals (Sweden)

    Lingli ZHU

    2014-01-01

    Full Text Available Studied on the expression methods of knowledge and using standard , according to the knowledge of rotary kiln’s characteristic, such as complexity and connection , it selected the commingling modal of the knowledge representation which composes production rule and object- oriented. It applied in rotary kiln expert system successfully. The method can be used in other complex knowledge representation system.

  15. Control Systems Engineering for Understanding and Optimizing Smoking Cessation Interventions.

    Science.gov (United States)

    Timms, Kevin P; Rivera, Daniel E; Collins, Linda M; Piper, Megan E

    2013-01-01

    Cigarette smoking remains a major public health issue. Despite a variety of treatment options, existing intervention protocols intended to support attempts to quit smoking have low success rates. An emerging treatment framework, referred to as adaptive interventions in behavioral health, addresses the chronic, relapsing nature of behavioral health disorders by tailoring the composition and dosage of intervention components to an individual's changing needs over time. An important component of a rapid and effective adaptive smoking intervention is an understanding of the behavior change relationships that govern smoking behavior and an understanding of intervention components' dynamic effects on these behavioral relationships. As traditional behavior models are static in nature, they cannot act as an effective basis for adaptive intervention design. In this article, behavioral data collected daily in a smoking cessation clinical trial is used in development of a dynamical systems model that describes smoking behavior change during cessation as a self-regulatory process. Drawing from control engineering principles, empirical models of smoking behavior are constructed to reflect this behavioral mechanism and help elucidate the case for a control-oriented approach to smoking intervention design.

  16. Knowledge systems of societies for adaptation and mitigation of impacts of climate change

    International Nuclear Information System (INIS)

    Nautiyal, Sunil; Raju, K.V.; Rao, K.S.; Kaechele, Harald; Schaldach, Ruediger

    2013-01-01

    Climate change is broadly recognized as a key environmental issue affecting social and ecological systems worldwide. At the Cancun summit of the United Nations Framework Convention on Climate Change's 16th Conference, the parties jointly agreed that the vulnerable groups particularly in developing countries and whose livelihood is based on land use practices are the most common victims as in most cases their activities are shaped by the climate. Therefore, solving the climate dilemma through mitigation processes and scientific research is an ethical concern. Thus combining the knowledge systems of the societies and scientific evidences can greatly assist in the creation of coping mechanisms for sustainable development in a situation of changing climate. International Humboldt Kolleg focusing on ''knowledge systems of societies and Climate Change'' was organized at ISEC. This event was of unique importance, as the year 2011-12 was celebrated as the 60th Anniversary of Diplomatic Relations between India and Germany with the motto ''Germany and India - Infinite Opportunities.'' This volume is the outcome of the papers presented during the IHK 2011 at ISEC, India. It reports on the present knowledge systems in a third world country which has always practiced a live and let live philosophy. Furthermore it provides valuable information for understanding the complexity of socio-ecological systems in relation to the projected impacts of climate change.

  17. Knowledge systems of societies for adaptation and mitigation of impacts of climate change

    Energy Technology Data Exchange (ETDEWEB)

    Nautiyal, Sunil; Raju, K.V. [Institute for Social and Economic Change, Bangalore (India). Centre for Ecological Economics and Natural Resources; Rao, K.S. [Delhi Univ. (India). Dept. of Botany; Kaechele, Harald [Leibniz Centre for Agricultural Landscape Research, Muencheberg (Germany). Inst. of Socioeconomics; Schaldach, Ruediger (ed.) [Kassel Univ. (Germany). Centre for Environmental System Research

    2013-07-01

    Climate change is broadly recognized as a key environmental issue affecting social and ecological systems worldwide. At the Cancun summit of the United Nations Framework Convention on Climate Change's 16th Conference, the parties jointly agreed that the vulnerable groups particularly in developing countries and whose livelihood is based on land use practices are the most common victims as in most cases their activities are shaped by the climate. Therefore, solving the climate dilemma through mitigation processes and scientific research is an ethical concern. Thus combining the knowledge systems of the societies and scientific evidences can greatly assist in the creation of coping mechanisms for sustainable development in a situation of changing climate. International Humboldt Kolleg focusing on ''knowledge systems of societies and Climate Change'' was organized at ISEC. This event was of unique importance, as the year 2011-12 was celebrated as the 60th Anniversary of Diplomatic Relations between India and Germany with the motto ''Germany and India - Infinite Opportunities.'' This volume is the outcome of the papers presented during the IHK 2011 at ISEC, India. It reports on the present knowledge systems in a third world country which has always practiced a live and let live philosophy. Furthermore it provides valuable information for understanding the complexity of socio-ecological systems in relation to the projected impacts of climate change.

  18. A Taxonomy for Design Reuse Systems: Proposing a System for Formalized On-line Knowledge Capturing

    DEFF Research Database (Denmark)

    Jensen, Thomas Aakjær

    1998-01-01

    A morphological chart is presented contributing to a taxonomy of systems for design reuse. Existing systems are mapped according to the morphology, and a concept is proposed for a design reuse system with an on-line capturing of design solution knowledge in a formalised manner....

  19. Understanding Absorptive Capacities is an "Innovation Systems" Context

    DEFF Research Database (Denmark)

    Narula, Rajneesh

    2004-01-01

    This paper seeks to broaden our understanding of the concept underlying absorptive capacity atthe macro -level, paying particular attention to the growth and development perspectives. Weprovide definitions of absorptive and technological capacity, external technology flows,productivity growth......, employment creation and their interrelations. We then analyse the elementsof absorptive capability, focusing on the nature of the relationship within a systems view of aneconomy, focusing primarily on the role of firm and non-firm actors and the institutions thatconnect them, both within and across borders....... We also undertake to explain how the nature ofabsorptive capacity changes with stages of economic development, and the importance of thedifferent aspects of absorptive capability at different stages. The relationship is not a linear one:the benefits that accrue from marginal increases in absorptive...

  20. Practice of knowledge management for institutes--take the construction of experience feedback system as the example

    International Nuclear Information System (INIS)

    Wu Kaiping

    2014-01-01

    The construction of experience feedback system is an important part and breakthrough point of institutes' knowledge management. It is significant for institutes' design, management, development and innovation. This article introduces the concept of experience feedback for institutes. It also goes details of the content of experience feedback system construction for institutes, including the founding of experience feedback organizational mechanism, the development of experience feedback system, construction of knowledge database system, the construction of knowledge resources, and the appraisal of experience feedback's performance. Furthermore, the recognition and support of leaders, understanding and cooperation of relative departments, and corporation's culture of encouraging knowledge sharing, also are the important guarantees for the good effects of institutes' experience feedback work. (author)

  1. The Value of Sustainable Knowledge Transfer Methods for SMEs, Utilizing Socio-Technical Networks and Complex Systems

    Directory of Open Access Journals (Sweden)

    Susu Nousala

    2010-12-01

    Full Text Available This paper will examine the development of sustainable SME methods for tracking tacit (informal knowledge transfer as a series of networks of larger complex system. Understanding sustainable systems begins with valuing tacit knowledge networks and their ability to produce connections on multiple levels. The behaviour of the social or socio aspects of a system in relation to the explicit formal/physical structures need to be understood and actively considered when utilizing methodologies for interacting within complex systems structures. This paper utilizes theory from several previous studies to underpin the key case study discussed. This approach involved examining the behavioural phenomena of an SME knowledge network. The knowledge network elements were highlighted to identify their value within an SME structure. To understand the value of these emergent elements from between tacit and explicit knowledge networks, is to actively, simultaneously and continuous support sustainable development for SME organizations. The simultaneous links within and between groups of organizations is crucial for understanding sustainable networking structures of complex systems.

  2. Representing clinical communication knowledge through database management system integration.

    Science.gov (United States)

    Khairat, Saif; Craven, Catherine; Gong, Yang

    2012-01-01

    Clinical communication failures are considered the leading cause of medical errors [1]. The complexity of the clinical culture and the significant variance in training and education levels form a challenge to enhancing communication within the clinical team. In order to improve communication, a comprehensive understanding of the overall communication process in health care is required. In an attempt to further understand clinical communication, we conducted a thorough methodology literature review to identify strengths and limitations of previous approaches [2]. Our research proposes a new data collection method to study the clinical communication activities among Intensive Care Unit (ICU) clinical teams with a primary focus on the attending physician. In this paper, we present the first ICU communication instrument, and, we introduce the use of database management system to aid in discovering patterns and associations within our ICU communications data repository.

  3. Applying social network analysis to understand the knowledge sharing behaviour of practitioners in a clinical online discussion forum.

    Science.gov (United States)

    Stewart, Samuel Alan; Abidi, Syed Sibte Raza

    2012-12-04

    Knowledge Translation (KT) plays a vital role in the modern health care community, facilitating the incorporation of new evidence into practice. Web 2.0 tools provide a useful mechanism for establishing an online KT environment in which health practitioners share their practice-related knowledge and experiences with an online community of practice. We have implemented a Web 2.0 based KT environment--an online discussion forum--for pediatric pain practitioners across seven different hospitals in Thailand. The online discussion forum enabled the pediatric pain practitioners to share and translate their experiential knowledge to help improve the management of pediatric pain in hospitals. The goal of this research is to investigate the knowledge sharing dynamics of a community of practice through an online discussion forum. We evaluated the communication patterns of the community members using statistical and social network analysis methods in order to better understand how the online community engages to share experiential knowledge. Statistical analyses and visualizations provide a broad overview of the communication patterns within the discussion forum. Social network analysis provides the tools to delve deeper into the social network, identifying the most active members of the community, reporting the overall health of the social network, isolating the potential core members of the social network, and exploring the inter-group relationships that exist across institutions and professions. The statistical analyses revealed a network dominated by a single institution and a single profession, and found a varied relationship between reading and posting content to the discussion forum. The social network analysis discovered a healthy network with strong communication patterns, while identifying which users are at the center of the community in terms of facilitating communication. The group-level analysis suggests that there is strong interprofessional and interregional

  4. Algorithms and tools for system identification using prior knowledge

    International Nuclear Information System (INIS)

    Lindskog, P.

    1994-01-01

    One of the hardest problems in system identification is that of model structure selection. In this thesis two different kinds of a priori process knowledge are used to address this fundamental problem. Concentrating on linear model structures, the first prior advantage of is knowledge about the systems' dominating time constants and resonance frequencies. The idea is to generalize FIR modelling by replacing the usual delay operator with discrete so-called Laguerre or Kautz filters. The generalization is such that stability, the linear regression structure and the approximation ability of the FIR model structure is retained, whereas the prior is used to reduce the number of parameters needed to arrive at a reasonable model. Tailorized and efficient system identification algorithms for these model structures are detailed in this work. The usefulness of the proposed methods is demonstrated through concrete simulation and application studies. The other approach is referred to as semi-physical modelling. The main idea is to use simple physical insight into the application, often in terms of a set of unstructured equations, in order to come up with suitable nonlinear transformation of the raw measurements, so as to allow for a good model structure. Semi-physical modelling is less ''ambitious'' than physical modelling in that no complete physical structure is sought, just combinations of inputs and outputs that can be subjected to more or less standard model structures, such as linear regressions. The suggested modelling procedure shows a first step where symbolic computations are employed to determine a suitable model structure - a set of regressors. We show how constructive methods from commutative and differential algebra can be applied for this. Subsequently, different numerical schemes for finding a subset of ''good'' regressors and for estimating the corresponding linear-in-the-parameters model are discussed. 107 refs, figs, tabs

  5. Adolescent understanding of DOHaD concepts: a school-based intervention to support knowledge translation and behaviour change.

    Science.gov (United States)

    Bay, J L; Mora, H A; Sloboda, D M; Morton, S M; Vickers, M H; Gluckman, P D

    2012-12-01

    A life-course approach to reduction of risk of non-communicable diseases (NCD) suggests that early-life interventions may be more effective than lifestyle modifications in middle age. Knowledge translation to develop understanding of the Developmental Origins of Health and Disease (DOHaD) within the community offers the potential to encourage informed diet and lifestyle choices supporting reduction of NCD risk in current and future generations. Many women do not make sustained dietary change before or during pregnancy, therefore appropriate nutritional behaviours need to be established prior to adulthood. This makes adolescence an appropriate stage for interventions to establish suitable dietary and lifestyle behaviours. Therefore, we engaged adolescents in a school-based educational intervention, and assessed the value of this in development of understanding of DOHaD concepts to support behaviour change that could lead to NCD risk reduction in the next generation. Modules of course work were written for 11-14 year olds and trialled in nine schools. Matched pre- and post-intervention questionnaire responses from 238 students and 99 parents, and post-intervention interviews evaluated the intervention. Understanding of a link between maternal diet during pregnancy and the health of the foetus in adulthood increased from 46% to 76% following intervention. Post-intervention evidence suggests the programme facilitated discussion of diet, lifestyle and DOHaD concepts in most families. The intervention was effective in improving understanding of DOHaD concepts and in some cases led to appropriate behaviour change. However, the sustainability of these changes remains to be determined through on-going evaluation of attitudes and behaviour within this cohort.

  6. USE OF ONTOLOGIES FOR KNOWLEDGE BASES CREATION TUTORING COMPUTER SYSTEMS

    Directory of Open Access Journals (Sweden)

    Cheremisina Lyubov

    2014-11-01

    Full Text Available This paper deals with the use of ontology for the use and development of intelligent tutoring systems. We consider the shortcomings of educational software and distance learning systems and the advantages of using ontology’s in their design. Actuality creates educational computer systems based on systematic knowledge. We consider classification of properties, use and benefits of ontology’s. Characterized approaches to the problem of ontology mapping, the first of which – manual mapping, the second – a comparison of the names of concepts based on their lexical similarity and using special dictionaries. The analysis of languages available for the formal description of ontology. Considered a formal mathematical model of ontology’s and ontology consistency problem, which is that different developers for the same domain ontology can be created, syntactically or semantically heterogeneous, and their use requires a compatible broadcast or display. An algorithm combining ontology’s. The characteristic of the practical value of developing an ontology for electronic educational resources and recommendations for further research and development, such as implementation of other components of the system integration, formalization of the processes of integration and development of a universal expansion algorithms ontology’s software

  7. Nano Mapper: an Internet knowledge mapping system for nanotechnology development

    International Nuclear Information System (INIS)

    Li Xin; Hu, Daning; Dang Yan; Chen Hsinchun; Roco, Mihail C.; Larson, Catherine A.; Chan, Joyce

    2009-01-01

    Nanotechnology research has experienced rapid growth in recent years. Advances in information technology enable efficient investigation of publications, their contents, and relationships for large sets of nanotechnology-related documents in order to assess the status of the field. This paper presents the development of a new knowledge mapping system, called Nano Mapper (http://nanomapper.eller.arizona.eduhttp://nanomapper.eller.arizona.edu), which integrates the analysis of nanotechnology patents and research grants into a Web-based platform. The Nano Mapper system currently contains nanotechnology-related patents for 1976-2006 from the United States Patent and Trademark Office (USPTO), European Patent Office (EPO), and Japan Patent Office (JPO), as well as grant documents from the U.S. National Science Foundation (NSF) for the same time period. The system provides complex search functionalities, and makes available a set of analysis and visualization tools (statistics, trend graphs, citation networks, and content maps) that can be applied to different levels of analytical units (countries, institutions, technical fields) and for different time intervals. The paper shows important nanotechnology patenting activities at USPTO for 2005-2006 identified through the Nano Mapper system.

  8. Managing Knowledge Performance: Testing the Components of a Knowledge Management System on Organizational Performance

    Science.gov (United States)

    Cho, Taejun; Korte, Russell

    2014-01-01

    The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold ("Towards a theory of organizational knowledge management capabilities." Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework…

  9. A system dynamics approach to understanding the One Health concept.

    Directory of Open Access Journals (Sweden)

    Tai Xie

    Full Text Available There have been many terms used to describe the One Health concept, including movement, strategy, framework, agenda, approach, among others. However, the inter-relationships of the disciplines engaged in the One Health concept have not been well described. To identify and better elucidate the internal feedback mechanisms of One Health, we employed a system dynamics approach. First, a systematic literature review was conducted via searches in PubMed, Web of Knowledge, and ProQuest with the search terms: 'One Health' and (concept* or approach*. In addition, we used the HistCite® tool to add significant articles on One Health to the library. Then, of the 2368 articles identified, 19 were selected for evaluating the inter-relationships of disciplines engaged in One Health. Herein, we report a visually rich, theoretical model regarding interactions of various disciplines and complex problem descriptors engaged in One Health problem solving. This report provides a conceptual framework for future descriptions of the interdisciplinary engagements involved in One Health.

  10. Level of knowledge and understanding of informed consent amongst the training grade group orthodontists in England, Wales and Northern Ireland.

    Science.gov (United States)

    Sharma, Pratik K; Chate, Robert A

    2011-06-01

    To assess the level of knowledge and understanding of informed consent in UK orthodontic trainees. A cross-sectional, written questionnaire-based study. Hospital orthodontic departments in England, Wales and Northern Ireland. A one page questionnaire which covered a range of legal issues pertinent to informed consent was circulated to 207 members of the Training Grades Group (TGG) of the British Orthodontic Society (BOS). The questionnaire consisted of four open questions with 11 responses, which the investigators considered to be ideal, seven closed questions requiring yes/no responses and one question requiring a yes/no response followed by two open responses. Following the initial circulation, a second posting to non-responders was conducted. The response rate was 61% (N=126). The mean number of complete answers to the 21 questions was 13 (62%; median 13; mode 14). There were a low number of complete responses to specific questions in the following areas - explanations patients need from clinicians prior to obtaining consent; how to fully judge if a patient is capable of consenting; how to manage a patient incapable of giving consent; the legal status of fathers consenting on behalf of their children; whether consent forms have to be re-signed if the start of treatment is delayed by six months or more and responsibility for obtaining consent for dental treatment under general anaesthesia. There was a disappointingly high proportion of incomplete answers to questions testing the knowledge and understanding of the law as it pertains to informed consent exists amongst members of the TGG of BOS.

  11. A Community-Based Participatory Research Approach to Understand Urban Latino Parent’s Oral Health Knowledge and Beliefs

    Directory of Open Access Journals (Sweden)

    Tamanna Tiwari

    2017-01-01

    Full Text Available The aim of this study is to describe oral health knowledge, behaviors, and beliefs of Latino parents with children under the ages of 6 years and to conduct a needs assessment with Latino families to better understand the challenges in maintaining oral health for their children. The investigator collaborated with a community serving the organization to recruit Latino primary caregivers for focus groups interviews and 30 primary caregivers were recruited. The focus groups data was transcribed and analyzed using a grounded theory approach using QDA Miner software. Findings from the focus groups demonstrate that the primary caregivers described barriers in maintaining oral health for their children including cultural barriers, child’s temperament, lack of time, and easy access to high-risk foods. All participants said that they wanted to receive information on the oral health of their children; they wanted the dentist or the hygienist to demonstrate oral hygiene practices and explain to them the reasons for oral health behaviors. Although the primary caregivers recognized some factors related to caries development, their knowledge was limited in depth. Culturally appropriate oral health education is required for this population, which could lead to more adherent oral health behavior and a higher sense of self-efficacy in Latino parents.

  12. Knowledge-based optical system design: some optical systems generated by the KBOSD

    Science.gov (United States)

    Nouri, Taoufik; Erard, Pierre-Jean

    1993-04-01

    This work is a new approach for the design of start optical systems and represents a new contribution of artificial intelligence techniques in the optical design field. A knowledge-based optical-systems design (KBOSD), based on artificial intelligence algorithms, first order logic, knowledge representation, rules, and heuristics on lens design, is realized. This KBOSD is equipped with optical knowledge in the domain of centered dioptrical optical systems used at low aperture and small field angles. This KBOSD generates centered dioptrical, on-axis and low-aperture optical-systems, which are used as start systems for the subsequent optimization by existing lens design programs. This KBOSD produces monochromatic or polychromatic optical systems, such as singlet lens, doublet lens, triplet lens, reversed singlet lens, reversed doublet lens, reversed triplet lens, and telescopes. In the design of optical systems, the KBOSD takes into account many user constraints such as cost, resistance of the optical material (glass) to chemical, thermal, and mechanical effects, as well as the optical quality such as minimal aberrations and chromatic aberrations corrections. This KBOSD is developed in the programming language Prolog and has knowledge on optical design principles and optical properties and uses neither a lens library nor a lens data base, it is completely based on optical design knowledge.

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

    Directory of Open Access Journals (Sweden)

    Sher Afgun Khan

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

  14. Evaluasi Knowledge Management System di Kompas Gramedia Menggunakan Analisis Faktor

    Directory of Open Access Journals (Sweden)

    Desi Maya Kristin

    2013-06-01

    Full Text Available Evaluation of Knowledge Management System (KMS is performed to determine the state of KM Portal and provide suggestions to improve the benefits and usability for employee and the company. The evaluation analysis of KMS uses factor analysis to determine the factors that influence user awareness in using KM Portal of Kompas Gramedia. The analysis shows three factors: the quality of KM Portal and user support; user participation; processes and procedures. All factors produced a model that can be used for the control of KM Portal. In accordance with the data processing, the current state of KM Portal is enough. This situation has not yet met the standards that company desires so the company needs further development to obtain a perfect score. 

  15. Knowledge systems, health care teams, and clinical practice: a study of successful change.

    Science.gov (United States)

    Olson, Curtis A; Tooman, Tricia R; Alvarado, Carla J

    2010-10-01

    Clinical teams are of growing importance to healthcare delivery, but little is known about how teams learn and change their clinical practice. We examined how teams in three US hospitals succeeded in making significant practice improvements in the area of antimicrobial resistance. This was a qualitative cross-case study employing Soft Knowledge Systems as a conceptual framework. The purpose was to describe how teams produced, obtained, and used knowledge and information to bring about successful change. A purposeful sampling strategy was used to maximize variation between cases. Data were collected through interviews, archival document review, and direct observation. Individual case data were analyzed through a two-phase coding process followed by the cross-case analysis. Project teams varied in size and were multidisciplinary. Each project had more than one champion, only some of whom were physicians. Team members obtained relevant knowledge and information from multiple sources including the scientific literature, experts, external organizations, and their own experience. The success of these projects hinged on the teams' ability to blend scientific evidence, practical knowledge, and clinical data. Practice change was a longitudinal, iterative learning process during which teams continued to acquire, produce, and synthesize relevant knowledge and information and test different strategies until they found a workable solution to their problem. This study adds to our understanding of how teams learn and change, showing that innovation can take the form of an iterative, ongoing process in which bits of K&I are assembled from multiple sources into potential solutions that are then tested. It suggests that existing approaches to assessing the impact of continuing education activities may overlook significant contributions and more attention should be given to the role that practical knowledge plays in the change process in addition to scientific knowledge.

  16. Role of the motor system in language knowledge

    Science.gov (United States)

    Berent, Iris; Brem, Anna-Katharine; Zhao, Xu; Seligson, Erica; Pan, Hong; Epstein, Jane; Stern, Emily; Galaburda, Albert M.; Pascual-Leone, Alvaro

    2015-01-01

    All spoken languages express words by sound patterns, and certain patterns (e.g., blog) are systematically preferred to others (e.g., lbog). What principles account for such preferences: does the language system encode abstract rules banning syllables like lbog, or does their dislike reflect the increased motor demands associated with speech production? More generally, we ask whether linguistic knowledge is fully embodied or whether some linguistic principles could potentially be abstract. To address this question, here we gauge the sensitivity of English speakers to the putative universal syllable hierarchy (e.g., blif≻bnif≻bdif≻lbif) while undergoing transcranial magnetic stimulation (TMS) over the cortical motor representation of the left orbicularis oris muscle. If syllable preferences reflect motor simulation, then worse-formed syllables (e.g., lbif) should (i) elicit more errors; (ii) engage more strongly motor brain areas; and (iii) elicit stronger effects of TMS on these motor regions. In line with the motor account, we found that repetitive TMS pulses impaired participants’ global sensitivity to the number of syllables, and functional MRI confirmed that the cortical stimulation site was sensitive to the syllable hierarchy. Contrary to the motor account, however, ill-formed syllables were least likely to engage the lip sensorimotor area and they were least impaired by TMS. Results suggest that speech perception automatically triggers motor action, but this effect is not causally linked to the computation of linguistic structure. We conclude that the language and motor systems are intimately linked, yet distinct. Language is designed to optimize motor action, but its knowledge includes principles that are disembodied and potentially abstract. PMID:25646465

  17. Role of the motor system in language knowledge.

    Science.gov (United States)

    Berent, Iris; Brem, Anna-Katharine; Zhao, Xu; Seligson, Erica; Pan, Hong; Epstein, Jane; Stern, Emily; Galaburda, Albert M; Pascual-Leone, Alvaro

    2015-02-17

    All spoken languages express words by sound patterns, and certain patterns (e.g., blog) are systematically preferred to others (e.g., lbog). What principles account for such preferences: does the language system encode abstract rules banning syllables like lbog, or does their dislike reflect the increased motor demands associated with speech production? More generally, we ask whether linguistic knowledge is fully embodied or whether some linguistic principles could potentially be abstract. To address this question, here we gauge the sensitivity of English speakers to the putative universal syllable hierarchy (e.g., blif ≻ bnif ≻ bdif ≻ lbif) while undergoing transcranial magnetic stimulation (TMS) over the cortical motor representation of the left orbicularis oris muscle. If syllable preferences reflect motor simulation, then worse-formed syllables (e.g., lbif) should (i) elicit more errors; (ii) engage more strongly motor brain areas; and (iii) elicit stronger effects of TMS on these motor regions. In line with the motor account, we found that repetitive TMS pulses impaired participants' global sensitivity to the number of syllables, and functional MRI confirmed that the cortical stimulation site was sensitive to the syllable hierarchy. Contrary to the motor account, however, ill-formed syllables were least likely to engage the lip sensorimotor area and they were least impaired by TMS. Results suggest that speech perception automatically triggers motor action, but this effect is not causally linked to the computation of linguistic structure. We conclude that the language and motor systems are intimately linked, yet distinct. Language is designed to optimize motor action, but its knowledge includes principles that are disembodied and potentially abstract.

  18. Use of a Knowledge Management System in Waste Management Projects

    International Nuclear Information System (INIS)

    Gruendler, D.; Boetsch, W.U.; Holzhauer, U.; Nies, R.A.

    2006-01-01

    In Germany the knowledge management system 'WasteInfo' about waste management and disposal issues has been developed and implemented. Beneficiaries of 'WasteInfo' are official decision makers having access to a large information pool. The information pool is fed by experts, so called authors This means compiling of information, evaluation and assigning of appropriate properties (metadata) to this information. The knowledge management system 'WasteInfo' has been introduced at the WM04, the operation of 'WasteInfo' at the WM05. The recent contribution describes the additional advantage of the KMS being used as a tool for the dealing with waste management projects. This specific aspect will be demonstrated using a project concerning a comparative analysis of the implementation of repositories in six countries using nuclear power as examples: The information of 'WasteInfo' is assigned to categories and structured according to its origin and type of publication. To use 'WasteInfo' as a tool for the processing the projects, a suitable set of categories has to be developed for each project. Apart from technical and scientific aspects, the selected project deals with repository strategies and policies in various countries, with the roles of applicants and authorities in licensing procedures, with safety philosophy and with socio-economic concerns. This new point of view has to be modelled in the categories. Similar to this, new sources of information such as local and regional dailies or particular web-sites have to be taken into consideration. In this way 'WasteInfo' represents an open document which reflects the current status of the respective repository policy in several countries. Information with particular meaning for the German repository planning is marked and by this may influence the German strategy. (authors)

  19. Socially Grounded Analysis of Knowledge Management Systems and Processes

    NARCIS (Netherlands)

    Guizzardi, R.S.S.; Perini, A.; Dignum, V.

    2008-01-01

    In the struggle to survive and compete in face of constant technological changes and unstable business environments, organizations recognize knowledge as its most valuable asset. Consequently, these organizations often invest on Knowledge Management (KM), seeking to enhance their internal processes

  20. Software architecture for an indigenous knowledge management system

    CSIR Research Space (South Africa)

    Fogwill, T

    2011-11-01

    Full Text Available Indigenous knowledge (IK) is defined as the unique, traditional and local knowledge of people within a particular area. Tpically, IK is stored in peoples' memories and passed down orally from generation to generation. However, with issues...

  1. Towards the Understanding of Induced Seismicity in Enhanced Geothermal Systems

    Energy Technology Data Exchange (ETDEWEB)

    Gritto, Roland [Array Information Technology, Greenbelt, MD (United States); Dreger, Douglas [Univ. of California, Berkeley, CA (United States); Heidbach, Oliver [Helmholtz Centre Potsdam (Germany, German Research Center for Geosciences; Hutchings, Lawrence [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2014-08-29

    This DOE funded project was a collaborative effort between Array Information Technology (AIT), the University of California at Berkeley (UCB), the Helmholtz Centre Potsdam - German Research Center for Geosciences (GFZ) and the Lawrence Berkeley National Laboratory (LBNL). It was also part of the European research project “GEISER”, an international collaboration with 11 European partners from six countries including universities, research centers and industry, with the goal to address and mitigate the problems associated with induced seismicity in Enhanced Geothermal Systems (EGS). The goal of the current project was to develop a combination of techniques, which evaluate the relationship between enhanced geothermal operations and the induced stress changes and associated earthquakes throughout the reservoir and the surrounding country rock. The project addressed the following questions: how enhanced geothermal activity changes the local and regional stress field; whether these activities can induce medium sized seismicity M > 3; (if so) how these events are correlated to geothermal activity in space and time; what is the largest possible event and strongest ground motion, and hence the potential hazard associated with these activities. The development of appropriate technology to thoroughly investigate and address these questions required a number of datasets to provide the different physical measurements distributed in space and time. Because such a dataset did not yet exist for an EGS system in the United State, we used current and past data from The Geysers geothermal field in northern California, which has been in operation since the 1960s. The research addressed the need to understand the causal mechanisms of induced seismicity, and demonstrated the advantage of imaging the physical properties and temporal changes of the reservoir. The work helped to model the relationship between injection and production and medium sized magnitude events that have

  2. Knowledge based systems for nuclear applications in Germany

    International Nuclear Information System (INIS)

    Schmidt, F.

    1987-01-01

    Several national and international research programs which are dealing with artificial intelligence and other innovative computer applications are in progress in Germany. However in contrast to the development of computer applications in the past, the new research programs are not very much determined from needs of the nuclear industry. Thus, applications of AI techniques in German nuclear industry are not very innovative in the sense of artificial intelligence. They may be divided into two categories: 1. projects which are aimed to explore the new technologies, 2. projects which are aimed to open new areas of work. This situation changes due to the fact that supercomputers with large memory, workstations with cheap disc devices and fast networks are becoming available. These hardware devices allow the connection of locally available knowledge and data bases with powerful central computer capacity. Using such hardware tools new applications can be developed in nuclear engineering using even existing software tools. These new applications may be characterized as integrated systems. The Integral Planning Simulation System IPSS which is under development at the University of Stuttgart is such a system

  3. 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.

  4. 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.

  5. Framework and methodology for knowledge management system implementation

    CSIR Research Space (South Africa)

    Smuts, H

    2009-10-01

    Full Text Available Knowledge assets are of far greater value than any tangible asset and provide organisations with the basis for creating a sustainable competitive advantage. The nature of knowledge and knowledge management have given rise to a range of different...

  6. A Knowledge-Intensive Approach to Computer Vision Systems

    NARCIS (Netherlands)

    Koenderink-Ketelaars, N.J.J.P.

    2010-01-01

    This thesis focusses on the modelling of knowledge-intensive computer vision tasks. Knowledge-intensive tasks are tasks that require a high level of expert knowledge to be performed successfully. Such tasks are generally performed by a task expert. Task experts have a lot of experience in performing

  7. Understanding the systemic nature of cities to improve health and climate change mitigation.

    Science.gov (United States)

    Chapman, Ralph; Howden-Chapman, Philippa; Capon, Anthony

    2016-09-01

    Understanding cities comprehensively as systems is a costly challenge and is typically not feasible for policy makers. Nevertheless, focusing on some key systemic characteristics of cities can give useful insights for policy to advance health and well-being outcomes. Moreover, if we take a coevolutionary systems view of cities, some conventional assumptions about the nature of urban development (e.g. the growth in private vehicle use with income) may not stand up. We illustrate this by examining the coevolution of urban transport and land use systems, and institutional change, giving examples of policy implications. At a high level, our concern derives from the need to better understand the dynamics of urban change, and its implications for health and well-being. At a practical level, we see opportunities to use stylised findings about urban systems to underpin policy experiments. While it is now not uncommon to view cities as systems, policy makers appear to have made little use so far of a systems approach to inform choice of policies with consequences for health and well-being. System insights can be applied to intelligently anticipate change - for example, as cities are subjected to increasing natural system reactions to climate change, they must find ways to mitigate and adapt to it. Secondly, systems insights around policy cobenefits are vital for better informing horizontal policy integration. Lastly, an implication of system complexity is that rather than seeking detailed, 'full' knowledge about urban issues and policies, cities would be well advised to engage in policy experimentation to address increasingly urgent health and climate change issues. Copyright © 2016 Elsevier Ltd. All rights reserved.

  8. Mode 3 knowledge production: Systems and systems theory, clusters and networks

    OpenAIRE

    Carayannis, Elias G.; Campbell, David F. J.; Rehman, Scheherazade S.

    2016-01-01

    With the comprehensive term of "Mode 3," we want to draw a conceptual link between systems and systems theory and want to demonstrate further how this can be applied to knowledge in the next steps. Systems can be understood as being composed of "elements", which are tied together by a "self-rationale". For innovation, often innovation clusters and innovation networks are being regarded as important. By leveraging systems theory for innovation concepts, one can implement references between the...

  9. Representing Human Expertise by the OWL Web Ontology Language to Support Knowledge Engineering in Decision Support Systems.

    Science.gov (United States)

    Ramzan, Asia; Wang, Hai; Buckingham, Christopher

    2014-01-01

    Clinical decision support systems (CDSSs) often base their knowledge and advice on human expertise. Knowledge representation needs to be in a format that can be easily understood by human users as well as supporting ongoing knowledge engineering, including evolution and consistency of knowledge. This paper reports on the development of an ontology specification for managing knowledge engineering in a CDSS for assessing and managing risks associated with mental-health problems. The Galatean Risk and Safety Tool, GRiST, represents mental-health expertise in the form of a psychological model of classification. The hierarchical structure was directly represented in the machine using an XML document. Functionality of the model and knowledge management were controlled using attributes in the XML nodes, with an accompanying paper manual for specifying how end-user tools should behave when interfacing with the XML. This paper explains the advantages of using the web-ontology language, OWL, as the specification, details some of the issues and problems encountered in translating the psychological model to OWL, and shows how OWL benefits knowledge engineering. The conclusions are that OWL can have an important role in managing complex knowledge domains for systems based on human expertise without impeding the end-users' understanding of the knowledge base. The generic classification model underpinning GRiST makes it applicable to many decision domains and the accompanying OWL specification facilitates its implementation.

  10. Mediterranean savanna system: understanding and modeling of olive orchard.

    Science.gov (United States)

    Brilli, Lorenzo; Moriondo, Marco; Bindi, Marco

    2013-04-01

    Nowadays most of the studies on C and N exchange were focused on forest ecosystems and crop systems, while only few studies have been focused on so called "savanna systems". They are long-term agro-ecosystems (fruit trees, grapevines and olive trees, etc.) usually characterized by two different layers (ground vegetation and trees). Generally, there is a lack of knowledge about these systems due to their intrinsic structural complexity (different eco-physiological characteristics so as agricultural practices). However, given their long-term carbon storage capacity, these systems can play a fundamental role in terms of global C cycle. Among all of them, the role that olive trees can play in C sequestration should not be neglected, especially in Mediterranean areas where they typify the rural landscape and are widely cultivated (Loumou and Giourga, 2003). It is therefore fundamental modelling the C-fluxes exchanges coming from these systems through a tool able to well reproduce these dynamics in one of the most exposed areas to the risk of climate change (IPCC, 2007). In this work, 2 years of Net CO2 Ecosystem Exchange (NEE) measures from eddy covariance were used to test the biogeochemistry model DayCent. The study was conducted in a rain-fed olive orchard situated in Follonica, South Tuscany, Italy (42 ° 55'N, 10 ° 45'E), in an agricultural area near the coast. The instrumentation for flux measurement was placed 1.9 m above the canopy top (6.5 m from the ground) so that the footprint area, expressed as the area containing 90% of the observed flux, was almost entirely contained within the olive orchard limits (Brilli et al., in press). Ancillary slow sensors have included soil temperature profiles, global radiation, air temperature and humidity, rain gauge. Fluxes of sensible heat, latent heat, momentum and CO2 as well as ancillary data were derived at half-hourly time resolution. Specific soil (texture, current and historical land use and vegetation cover) and

  11. Arctic sea-ice syntheses: Charting across scope, scale, and knowledge systems

    Science.gov (United States)

    Druckenmiller, M. L.; Perovich, D. K.; Francis, J. A.

    2017-12-01

    Arctic sea ice supports and intersects a multitude of societal benefit areas, including regulating regional and global climates, structuring marine food webs, providing for traditional food provisioning by indigenous peoples, and constraining marine shipping and access. At the same time, sea ice is one of the most rapidly changing elements of the Arctic environment and serves as a source of key physical indicators for monitoring Arctic change. Before the present scientific interest in Arctic sea ice for climate research, it has long been, and remains, a focus of applied research for industry and national security. For generations, the icy coastal seas of the North have also provided a basis for the sharing of local and indigenous knowledge between Arctic residents and researchers, including anthropologists, biologists, and geoscientists. This presentation will summarize an ongoing review of existing synthesis studies of Arctic sea ice. We will chart efforts to achieve system-level understanding across geography, temporal scales, and the ecosystem services that Arctic sea ice supports. In doing so, we aim to illuminate the role of interdisciplinary science, together with local and indigenous experts, in advancing knowledge of the roles of sea ice in the Arctic system and beyond, reveal the historical and scientific evolution of sea-ice research, and assess current gaps in system-scale understanding.

  12. Systems and methods for knowledge discovery in spatial data

    Science.gov (United States)

    Obradovic, Zoran; Fiez, Timothy E.; Vucetic, Slobodan; Lazarevic, Aleksandar; Pokrajac, Dragoljub; Hoskinson, Reed L.

    2005-03-08

    Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.

  13. Development of a knowledge management system for complex domains.

    Science.gov (United States)

    Perott, André; Schader, Nils; Bruder, Ralph; Leonhardt, Jörg

    2012-01-01

    Deutsche Flugsicherung GmbH, the German Air Navigation Service Provider, follows a systematic approach, called HERA, for investigating incidents. The HERA analysis shows a distinctive occurrence of incidents in German air traffic control in which the visual perception of information plays a key role. The reasons can be partially traced back to workstation design, where basic ergonomic rules and principles are not sufficiently followed by the designers in some cases. In cooperation with the Institute of Ergonomics in Darmstadt the DFS investigated possible approaches that may support designers to implement ergonomic systems. None of the currently available tools were found to be able to meet the identified user requirements holistically. Therefore it was suggested to develop an enhanced software tool called Design Process Guide. The name Design Process Guide indicates that this tool exceeds the classic functions of currently available Knowledge Management Systems. It offers "design element" based access, shows processual and content related topics, and shows the implications of certain design decisions. Furthermore, it serves as documentation, detailing why a designer made to a decision under a particular set of conditions.

  14. Knowledge elicitation for an operator assistant system in process control tasks

    Science.gov (United States)

    Boy, Guy A.

    1988-01-01

    A knowledge based system (KBS) methodology designed to study human machine interactions and levels of autonomy in allocation of process control tasks is presented. Users are provided with operation manuals to assist them in normal and abnormal situations. Unfortunately, operation manuals usually represent only the functioning logic of the system to be controlled. The user logic is often totally different. A method is focused on which illicits user logic to refine a KBS shell called an Operator Assistant (OA). If the OA is to help the user, it is necessary to know what level of autonomy gives the optimal performance of the overall man-machine system. For example, for diagnoses that must be carried out carefully by both the user and the OA, interactions are frequent, and processing is mostly sequential. Other diagnoses can be automated, in which the case the OA must be able to explain its reasoning in an appropriate level of detail. OA structure was used to design a working KBS called HORSES (Human Orbital Refueling System Expert System). Protocol analysis of pilots interacting with this system reveals that the a-priori analytical knowledge becomes more structured with training and the situation patterns more complex and dynamic. This approach can improve the a-priori understanding of human and automatic reasoning.

  15. Transfer Entails Communication: The Public Understanding of (Social) Science as a Stage and a Play for Implementing Evidence-Based Prevention Knowledge and Programs.

    Science.gov (United States)

    Bromme, Rainer; Beelmann, Andreas

    2018-04-01

    Many social science-based interventions entail the transfer of evidence-based knowledge to the "target population," because the acquisition and the acceptance of that knowledge are necessary for the intended improvement of behavior or development. Furthermore, the application of a certain prevention program is often legitimated by a reference to science-based reasons such as an evaluation according to scientific standards. Hence, any implementation of evidence-based knowledge and programs is embedded in the public understanding of (social) science. Based on recent research on such public understanding of science, we shall discuss transfer as a process of science communication.

  16. NetWeaver for EMDS user guide (version 1.1): a knowledge base development system.

    Science.gov (United States)

    Keith M. Reynolds

    1999-01-01

    The guide describes use of the NetWeaver knowledge base development system. Knowledge representation in NetWeaver is based on object-oriented fuzzy-logic networks that offer several significant advantages over the more traditional rulebased representation. Compared to rule-based knowledge bases, NetWeaver knowledge bases are easier to build, test, and maintain because...

  17. "Tacit Knowledge" versus "Explicit Knowledge"

    OpenAIRE

    Sanchez, Ron

    2004-01-01

    This paper explains two fundamental approaches to knowledge management. The tacit knowledge approach emphasizes understanding the kinds of knowledge that individuals in an organization have, moving people to transfer knowledge within an organization, and managing key individuals as knowledge creators and carriers. By contrast, the explicit knowledge approach emphasizes processes for articulating knowledge held by individuals, the design of organizational approaches for creating...

  18. Anatomical Mercury: Changing Understandings of Quicksilver, Blood, and the Lymphatic System, 1650-1800.

    Science.gov (United States)

    Hendriksen, Marieke M A

    2015-10-01

    The use of mercury as an injection mass in anatomical experiments and preparations was common throughout Europe in the long eighteenth century, and refined mercury-injected preparations as well as plates of anatomical mercury remain today. The use and meaning of mercury in related disciplines such as medicine and chemistry in the same period have been studied, but our knowledge of anatomical mercury is sparse and tends to focus on technicalities. This article argues that mercury had a distinct meaning in anatomy, which was initially influenced by alchemical and classical understandings of mercury. Moreover, it demonstrates that the choice of mercury as an anatomical injection mass was deliberate and informed by an intricate cultural understanding of its materiality, and that its use in anatomical preparations and its perception as an anatomical material evolved with the understanding of the circulatory and lymphatic systems. By using the material culture of anatomical mercury as a starting point, I seek to provide a new, object-driven interpretation of complex and strongly interrelated historiographical categories such as mechanism, vitalism, chemistry, anatomy, and physiology, which are difficult to understand through a historiography that focuses exclusively on ideas. © The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  19. A psychoanalytic understanding of the desire for knowledge as reflected in Freud's Leonardo da Vinci and a memory of his childhood.

    Science.gov (United States)

    Blass, Rachel B

    2006-10-01

    The author offers an understanding of the psychoanalytic notion of the desire for knowledge and the possibility of attaining it as it fi nds expression in Freud's Leonardo da Vinci and a memory of his childhood. This understanding has not been explicitly articulated by Freud but may be considered integral to psychoanalysis' Weltanschauung as shaped by Freud's legacy. It emerges through an attempt to explain basic shifts, contradictions, inconsistencies and tensions that become apparent from a close reading of the text of Leonardo. Articulating this implicit understanding of knowledge provides the grounds for a stance on epistemology that is integral to psychoanalysis and relevant to contemporary psychoanalytic concerns on this topic. This epistemology focuses on the necessary involvement of passion, rather than detachment, in the search for knowledge and views the psychoanalytic aim of self-knowledge as a derivative, and most immediate expression, of a broader and more basic human drive to know.

  20. Towards Understanding Artifacts in the Clumped Isotope System

    Science.gov (United States)

    Swart, P. K.; Staudigel, P. T.; Murray, S.

    2015-12-01

    The clumped isotope system in carbonates (Δ47) relies on the extraction of CO2 from the carbonate minerals using phosphoric acid. Despite the fact that this method dates back to the original stable isotopic work in the 1950s, there are significant aspects of the fractionation of the 18O/16O (and by inference the ratio of mass 47 to 44) which are not understood. We believe that subtle variations in the isotopic fractionation as a function of temperature, acid density (and acid preparation method), and extraction line design cause variation between the clumped isotope data produced by different laboratories. One of the most obvious of these is difference in reaction temperatures. While most laboratories employ temperatures of between 75 and 90oC, the original method employed a temperature of 25oC. Although various estimate of the difference in fractionation of Δ47 between 25 and 90oC have been made, we have measured significantly different values for dolomites compared to published data. In order to understand this we have performed experiments in sealed Pyrex vessels to measure the exchange between CO2 and 103% phosphoric acid. We have determined there to be significant and measurable changes in the Δ47 of CO2 when exposed to phosphoric acid. This exchange is a function of temperature, time, acid strength, and the surface area of the acid exposed to the CO2. We postulate that, perhaps as a result of the lower reaction rate of dolomite, compared to calcite, that there is greater opportunity for CO2 to exchange with the phosphoric acid as bubbles of CO2 are retained within the acid for longer periods of time. Such a mechanism would predict that well-ordered dolomites will have different fractionation compared to protodolomite. Similar differences might account for different fractionation for other carbonate minerals.