WorldWideScience

Sample records for global knowledge base

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

    Liam Earney

    2013-11-01

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

  2. The earth knowledge base and the global information society

    A Martynenko

    2006-01-01

    Full Text Available Today many countries have applied the strategy of developing an information-oriented society and data infrastructure. Although varying it their details and means of realization, all these policies have the same aim - to build a global information society. Here in Russia this crucial role belongs to the Electronic (Digital Earth initiative, which integrates geoinformation technologies in the Earth Knowledge Base (EKB. It i designed to promote the economic, social and scientific progress. An analysis of the problem has been done in the article.

  3. Scientific publications in XML - towards a global knowledge base

    Peter Murray-Rust

    2006-01-01

    Full Text Available Recent developments on the World-Wide Web provide an unparalleled opportunity to revolutionise scientific, technical and medical publication. The technology exists for the scientific world to use primary publication to create a knowledge base, or Semantic Web, with a potential greatly beyond the paper archives and electronic databases of today.

  4. Knowledge Management Challenges For Global Business

    Veli Denizhan Kalkan

    2011-01-01

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

  5. Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting.

    Corzo, Gerald; Solomatine, Dimitri

    2007-05-01

    Natural phenomena are multistationary and are composed of a number of interacting processes, so one single model handling all processes often suffers from inaccuracies. A solution is to partition data in relation to such processes using the available domain knowledge or expert judgment, to train separate models for each of the processes, and to merge them in a modular model (committee). In this paper a problem of water flow forecast in watershed hydrology is considered where the flow process can be presented as consisting of two subprocesses -- base flow and excess flow, so that these two processes can be separated. Several approaches to data separation techniques are studied. Two case studies with different forecast horizons are considered. Parameters of the algorithms responsible for data partitioning are optimized using genetic algorithms and global pattern search. It was found that modularization of ANN models using domain knowledge makes models more accurate, if compared with a global model trained on the whole data set, especially when forecast horizon (and hence the complexity of the modelled processes) is increased.

  6. Global-Detector; GIS- and Knowledge-based tool for a global detection of the potential for production, supply and demand

    Hennen, W.H.G.J.; Daane, P.A.J.; Duijvendijk, van Kees

    2017-01-01

    Wageningen Economic Research has developed Global-Detector, a knowledge-based Geographic Information System that aims to detect the worldwide potential for production, demand and market strategies. At any spot in the world Global-Detector can show the values from a large amount of indicators, such

  7. Why does site visit matter in global software development: A knowledge-based perspective

    Zahedi, Mansooreh; Babar, Muhammad Ali

    2016-01-01

    Context: Face-to-Face (F2F) interaction is a strong means to foster social relationships and effective knowledge sharing within a team. However, communication in Global Software Development (GSD) teams is usually restricted to computer-mediated conversation that is perceived to be less effective...

  8. Globalization and Self-Organization in the Knowledge-Based Society

    Christian Fuchs

    2008-07-01

    Full Text Available In this paper I suggest that a theory of self-organization can be used as a consistent background theory for explaining the dynamics and logics of globalization. Globalization is not confined to the human realm, it is an attribute of all complex, self-organizing systems. Globalization in a synchronous sense means a micro-macro-link where bottom-up-emergence of new qualities in the self-reproduction of complex systems takes place, it is accompanied by a macro-micro-link of top-down-localization. A dynamic interaction between a global and a local level (glocalization results in the permanent overall self-reproduction of the system. Globalization in a diachronic sense means the emergence of a new, higher level of self-organization during a phase of instability and heavy fluctuations by order through fluctuation. Globalization is shaped by a dialectic of change and continuity: in the hierarchy that stems from emergent evolution there are both general aspects of globalization and aspects that are specific for each organizational level. Applying this general notion of globalization to society means that human globalization is both a general process that can be found in all societies and a specific process with emergent qualities in concrete phases of societal development. Globalization processes in modern society are based on structural antagonisms that result in uneven developments in the technosphere, the ecosphere, the economy, polity, and culture. The transition to Postfordist, informational capitalism has been a consequence of the development of the structural antagonisms of Fordism and has been accompanied by a new phase of globalization that has transformed the subsystems of society and has resulted in new antagonism that are an expression of general antagonisms that shape modern societies. Hence we find antagonistic tendencies of contemporary globalization in all subsystems of society that result in both risks and opportunities. Human beings

  9. INFORMATION AND KNOWLEDGE IN A GLOBAL CONTEXT

    Florina BRAN

    2015-12-01

    Full Text Available Information and knowledge are two important entities, which make up present stage of globalization, based mostly on their dynamics. This paper is providing an overview of information and knowledge in global context, highlighting the importance of information society that turned into knowledge society in the beginning of the 21 century, being driven by Internet – the latter, as part of globalization process. Modern economic theories recognise the importance of information in economic process because its impact on globalization process in economy was essential, and change the way how markets and companies work and represent the key factor of new era of economic development. This paper presents main results from available literature about the relationship between information, knowledge and economic theory in a global conterxt and finally explained the benefits of the knowledge economy to all countries.

  10. From Global Knowledge to Global Civic Engagement

    Lorenzini, Michelle

    2013-01-01

    In this article, I argue that student learning is enhanced when civic engagement is a component of international education initiatives. When only presented with knowledge about global challenges, students can become frustrated and overwhelmed unless they also understand how they might contribute to solutions. Political science programs are…

  11. Framework for Explaining the Formation of Knowledge Intensive Entrepreneurial Born Global Firm: Entrepreneurial, Strategic and Network Based Constituents

    Vytaute Dlugoborskyte

    2017-01-01

    Full Text Available The nature of the knowledge based entrepreneurship relates to its essential reliance on research and development, deployment and maximization of research and development returns via technology development, and its commercialization via venturing. The paper aims to provide the empirically grounded framework for the analysis of the key determinants leading to the formation of R&D intensive entrepreneurial born global firm with a special focus on entrepreneurial firm and network theories. The unit of analysis chosen is the firm, while the focus is set on the firm behavior and strategic choices rather the business conditions per se. The paper aims to propose the definition of a born global firm as a specific form of entrepreneurial firm that forms while combining entrepreneurial, strategy and network constituents in a specific globally oriented constitution. Method of analysis applied is a multiple case study that was applied in order to build evidence on the interplay of strategy, networks and entrepreneurial constituents in the formation of knowledge intensive entrepreneurial born global firm. The small catching up country perspective adds on dynamics of the constituents as the framework and competitive conditions rapidly change in an uncertain direction.

  12. Knowledge-based Telecom Industry

    Vinje, Villeman; Nordkvelde, Marius

    2011-01-01

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

  13. One knowledge base or many knowledge pools?

    Lundvall, Bengt-Åke

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

  14. Remote Sensing Terminology in a Global and Knowledge-Based World

    Kancheva, Rumiana

    The paper is devoted to terminology issues related to all aspects of remote sensing research and applications. Terminology is the basis for a better understanding among people. It is crucial to keep up with the latest developments and novelties of the terminology in advanced technology fields such as aerospace science and industry. This is especially true in remote sensing and geoinformatics which develop rapidly and have ever extending applications in various domains of science and human activities. Remote sensing terminology issues are directly relevant to the contemporary worldwide policies on information accessibility, dissemination and utilization of research results in support of solutions to global environmental challenges and sustainable development goals. Remote sensing and spatial information technologies are an integral part of the international strategies for cooperation in scientific, research and application areas with a particular accent on environmental monitoring, ecological problems natural resources management, climate modeling, weather forecasts, disaster mitigation and many others to which remote sensing data can be put. Remote sensing researchers, professionals, students and decision makers of different counties and nationalities should fully understand, interpret and translate into their native language any term, definition or acronym found in papers, books, proceedings, specifications, documentation, and etc. The importance of the correct use, precise definition and unification of remote sensing terms refers not only to people working in this field but also to experts in a variety of disciplines who handle remote sensing data and information products. In this paper, we draw the attention on the specifics, peculiarities and recent needs of compiling specialized dictionaries in the area of remote sensing focusing on Earth observations and the integration of remote sensing with other geoinformation technologies such as photogrammetry, geodesy

  15. Knowledge Management and Global Information Dissemination

    Umunadi, Ejiwoke Kennedy

    2014-01-01

    The paper looked at knowledge management and global information dissemination. Knowledge is a very powerful tool for survival, growth and development. It can be seen as the information, understanding and skills that you gain through education or experience. The paper was addressed under the following sub-headings: Knowledge management knowledge…

  16. Strategic Knowledge Networks for Global Education

    Peterson, J. Fiona

    2009-01-01

    The inherent opportunities for communication, collaboration and experiential learning in an online and global network create the impetus for the new network paradigm in higher education. A strategic knowledge network in education was designed and developed to build "Mode 2" knowledge capabilities; create new knowledge for innovative…

  17. The global structure of knowledge network

    Angelopoulos, Spyros; Lomi, Alessandro

    2017-01-01

    In this paper, we treat patent citations as knowledge networks connecting pieces of formalized knowledge and people, and focus on how ideas are connected, rather than how they are protected. We focus on the global structural properties of formalized knowledge network, and more specifically on the

  18. World Knowledge and Global Citizenship: Factual and Perceived World Knowledge as Predictors of Global Citizenship Identification

    Reysen, Stephen; Katzarska-Miller, Iva; Gibson, Shonda A.; Hobson, Braken

    2013-01-01

    We examine the influence of factual and perceived world knowledge on global citizenship identification. Perceived world knowledge directly predicted global citizenship identification, while factual world knowledge did not (Study 1). Students' factual (Study 1) and perceived (Study 2) world knowledge predicted students' normative environment…

  19. Knowledge Based Health

    Sasson, Amir

    2011-01-01

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

  20. Knowledge base mechanisms

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

    1982-01-01

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

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

    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

  2. Monitoring Knowledge Base (MKB)

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

  3. Knowledge Based Economy Assessment

    Madalina Cristina Tocan

    2012-01-01

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

  4. When global virtual teams share knowledge

    Klitmøller, Anders; Lauring, Jakob

    2013-01-01

    Technological developments and internationalization have made virtual communication a central part of everyday life in many larger organizations. In recent years this trend has been intensified by travel-budget cuts imposed by the global financial crisis. Accordingly, the use of virtual media...... for internal knowledge sharing is now more important than ever before. Extant studies have provided useful theories and empirical documentation on how to manage global virtual teams. However, no prior research has examined the interaction of media type with the relation between culture/language and canonical....../equivocal knowledge sharing. This is an important omission because cultural and linguistic variations are known to have a great effect on knowledge sharing. We use ethnographic field-study methodology for an exploratory examination of the effects of culture, shared language commonality and media choice on knowledge...

  5. Global and local knowledge networks in innovation

    Lorentzen, Anne

    2006-01-01

    , of which global sources are considered most important to innovation, while the regional level basically provides a labour market. Firms are able to establish direct links to knowledge sources at all scales, and widely rely on ICT and their access to foreign customers. This questions the proximity...... hypothesis and the regional focus of industrial and regional innovation policies....

  6. Global Education Greenhouse: Constructing and Organizing Online Global Knowledge

    K. Kaun (Kaun); P.A. Arora (Payal)

    2010-01-01

    textabstractEducation, and the knowledge it generates, is seen as a means to effective participation in societies and economies that are affected by globalization (UNESCO). The United Nations Decade of Education for Sustainable Development (2005-2015) was declared by a Resolution of the General

  7. Knowledge-based utility

    Chwalowski, M.

    1997-01-01

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

  8. Globalization And Knowledge Management In Projects

    Bubel Dagmara

    2015-06-01

    Full Text Available Knowledge management is a field of management dealing with the use of knowledge, methods, and tools to effectively coordinate complex and unique projects. In accordance with this definition, project knowledge can be treated as a useful resource of information that allows projects to be implemented in compliance with its objectives: time, costs, and quality of results. Knowledge in the activity of an organization, including in the implementation of projects, has for many years been an area of interest to researchers, who confirmed its key importance for building permanent competitive advantages of companies and enterprises. In project management, this issue takes on a new character, as it is transferred to the field of dynamic, time restricted, temporary, and team-implemented projects. The aim of this paper is to present the results of a survey regarding the use of practices of knowledge management in projects in international organizations and to show that the concept of knowledge management in projects is a tool conducive to spreading the process of globalization.

  9. Team-based global organizations

    Zander, Lena; Butler, Christina; Mockaitis, Audra

    2015-01-01

    diversity in enhancing team creativity and performance, and 2) the sharing of knowledge in team-based organizations, while the other two themes address global team leadership: 3) the unprecedented significance of social capital for the success of global team leader roles; and 4) the link between shared......This chapter draws on a panel discussion of the future of global organizing as a team-based organization at EIBA 2014 in Uppsala, Sweden. We began by discussing contemporary developments of hybrid forms of hierarchy and teams-based organizing, but we venture to propose that as organizations become...... characterized by decreased importance of hierarchal structures, more fluidity across borders, even a possible dissolution of firm boundaries, we move towards team-based organizing as an alternative to more traditional forms of hierarchical-based organizing in global firms. To provide input for a discussion...

  10. Knowledge based maintenance

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

    1998-12-31

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

  11. Knowledge based maintenance

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

    1997-12-31

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

  12. Knowledge Sharing Across Global-Local Boundaries

    Zølner, Mette

    The paper explores how locals span boundaries between corporate and local levels. The aim is to better comprehend potentialities and challenges when MNCs draws on locals’ culture specific knowledge. The study is based on an in-depth, interpretive case study of boundary spanning by local actors in...... approach with pattern matching is a way to shed light on the tacit local knowledge that organizational actors cannot articulate and that an exclusively inductive research is not likely to unveil....

  13. Anthropology, knowledge-flows and global health.

    Feierman, S; Kleinman, A; Stewart, K; Farmer, D; Das, V

    2010-01-01

    Global health programmes are damaged by blockages in the upward flow of information from localities and regional centres about realities of professional practice and about patients' lives and conditions of treatment. Power differentials between local actors and national or international decision-makers present further obstacles to effective action. Anthropological research and action, in its most effective current forms, make important contributions to these issues. This research often continues over the long term, intensively. It can be multi-sited, studying actors at local, national and international levels simultaneously. It studies the relative knowledge and power of impoverished patients and global decision-makers, all within a single frame. By doing so, anthropological research is capable of providing new and important insights on the diverse meanings of patient decision-making, informed consent, non-compliance, public health reporting, the building of political coalitions for health and many other issues.

  14. Knowledge based Entrepreneurship

    Heebøll, John

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

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

    GUSTAVO B.F. OLIVEIRA

    2015-08-01

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

  16. Development of an interactive exploratory web-based modelling platform for informed decision-making and knowledgeable responses to global change

    Holman, I.; Harrison, P.; Cojocaru, G.

    2013-12-01

    Informed decision-making and knowledgeable responses to global climate change impacts on natural resources and ecosystem services requires access to information resources that are credible, accurate, easy to understand, and appropriate. Too often stakeholders are limited to restricted scientific outputs produced by inaccessible models, generated from a limited number of scenario simulations chosen arbitrarily by researchers. This paper describes the outcomes of the CLIMSAVE project (www.climsave.eu), which has attempted to democratise climate change impacts, adaptation and vulnerability modelling, through developing the public domain interactive exploratory web-based CLIMSAVE Integrated Assessment (IA) Platform. The CLIMSAVE Integrated Assessment (IA) Platform aims to enable a wide range of stakeholders to improve their understanding surrounding impacts, adaptation responses and vulnerability of natural resources and ecosystem services under uncertain futures across Europe. The CLIMSAVE IA Platform contain linked simulation models (of the urban, water, agriculture, forestry, biodiversity and other sectors), IPCC AR4 climate scenarios and CLIMSAVE socio-economic scenarios, enabling users to select their inputs (climate and socioeconomic), rapidly run the models across Europe using their input settings and view their selected Impact (before, or after, adaptation) and Vulnerability (Figure 1) indicators. The CLIMSAVE IA Platform has been designed to promote both cognitive accessibility - the ease of understanding - and practical accessibility - the ease of application. Based upon partner and CLIMSAVE international experts' experience, examination of other participatory model interfaces and potential user requirements, we describe the design concepts and functionality that were identified, incorporated into the prototype CLIMSAVE IA Platform and further refined based on stakeholder feedback. The CLIMSAVE IA Platform is designed to facilitate a two-way iterative process

  17. Empowering Faculty to Develop and Share Global Knowledge

    Harrison, David

    2014-01-01

    As colleges seek to increase global knowledge within its students, it is important that faculty members are also offered opportunities to increase their own knowledge of global issues. This chapter discusses faculty development models for seminars abroad and how these seminars encourage the development of unique global study programs.

  18. The knowledge base of journalism

    Svith, Flemming

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

  19. Logically automorphically equivalent knowledge bases

    Aladova, Elena; Plotkin, Tatjana

    2017-01-01

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

  20. Big Data Knowledge in Global Health Education.

    Olayinka, Olaniyi; Kekeh, Michele; Sheth-Chandra, Manasi; Akpinar-Elci, Muge

    The ability to synthesize and analyze massive amounts of data is critical to the success of organizations, including those that involve global health. As countries become highly interconnected, increasing the risk for pandemics and outbreaks, the demand for big data is likely to increase. This requires a global health workforce that is trained in the effective use of big data. To assess implementation of big data training in global health, we conducted a pilot survey of members of the Consortium of Universities of Global Health. More than half the respondents did not have a big data training program at their institution. Additionally, the majority agreed that big data training programs will improve global health deliverables, among other favorable outcomes. Given the observed gap and benefits, global health educators may consider investing in big data training for students seeking a career in global health. Copyright © 2017 Icahn School of Medicine at Mount Sinai. Published by Elsevier Inc. All rights reserved.

  1. Managing opportunities in the global knowledge society

    Nielsen, Sven Hvid

    2007-01-01

    It is commonplace these days to say that knowledge is the most critical asset to be managed. Yet not many people - particularly not practitioners - invest very much time in learning about what knowledge really is and how different knowledge management (KM) is from information management (IM...

  2. Tacit Knowledge Transfer through Global Narratives

    G. Touburg (Giorgio); C.I.S.G. Lee (Colin)

    2013-01-01

    textabstractA central topic in the knowledge management literature is the distinction between codified and tacit knowledge: the former refers to knowledge that is easily transmittable through formal, systematic language and communicated through blueprints, maps, manuals and similar formats, the

  3. Machine intelligence and knowledge bases

    Furukawa, K

    1981-09-01

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

  4. Foundation: Transforming data bases into knowledge bases

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

    1987-01-01

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

  5. Universities in the global knowledge economy: the eclectic paradigm

    Denys Ilnytskyy

    2015-06-01

    Full Text Available As institutions of knowledge generation and diffusion, in the course of their activities universities should take into account not only the level of an organization or a country but also that of individual knowledge transformation, whereby creating favorable conditions for developing creativity of both graduates and academic staff who form the basis of the intellectual capital of the university and the country. While functioning in the global competitive climate, the national intellectual capital is a factor of socio-economic development and international competitive status of individual countries. During decades the concept of university has been evolving toward determining the operation mode of a university as that of an institution providing mass education, carrying out fundamental and applied researches as well as largely participating in local, national and global development. However, the university operation paradigm remains eclectic. Equal relationships between universities, government and industry in a knowledge-based society are well-defined by the concept of triple helix innovation systems engaging NGOs. World-class universities tend ever more to incorporate the feature of an entrepreneurial university actively competing in the global academic domain.

  6. Cluster-based global firms' use of local capabilities

    Andersen, Poul Houman; Bøllingtoft, Anne

    2011-01-01

    Purpose – Despite growing interest in clusters role for the global competitiveness of firms, there has been little research into how globalization affects cluster-based firms’ (CBFs) use of local knowledge resources and the combination of local and global knowledge used. Using the cluster......’s knowledge base as a mediating variable, the purpose of this paper is to examine how globalization affected the studied firms’ use of local cluster-based knowledge, integration of local and global knowledge, and networking capabilities. Design/methodology/approach – Qualitative case studies of nine firms...... in three clusters strongly affected by increasing global division of labour. Findings – The paper suggests that globalization has affected how firms use local resources and combine local and global knowledge. Unexpectedly, clustered firms with explicit procedures and established global fora for exchanging...

  7. Knowledge capabilities for sustainable development in global classrooms - local challenges

    Elise Anderberg

    2011-01-01

    Full Text Available The Young Masters Programme provides young people around the worldwith a net–based global–local learning environment for sustainable development. The present study investigates certain aspects of the implementation of this programme in the secondary schools of a Swedish municipality, in the context of the Lund Calling project. The research focuses on critical abilities to act globally, referred to as “knowledge capabilities”, and how they relate to the implementation process of initiating global learning for sustainabledevelopment (GLSD. A phenomenographic approach and semi–structuredinterviews were used in the investigation of the experiences of secondary school pupils, teachers and headmasters who participated in the project. Participants’ experiences of the changes carried out are described in relation to examples of knowledge capabilities needed for GLSD. Critical knowledge capabilities found to have been developed through the implementation were: to take command, and to collaborate. Critical knowledge capabilities perceived asnecessary, but not developed through the programme were: to be prepared, to act in a transdisciplinary manner, and to lead for a holistic understanding.

  8. Exchanging Description Logic Knowledge Bases

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

    2012-01-01

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

  9. globalization, technology transfer and the knowledge gap

    USER

    2011-06-10

    Jun 10, 2011 ... manufacturing technology to the less developed countries of the South (Nigeria) in ... the primary sources of progress (Mill 1846 cited .... globalization process as in Asia and Latin. America. The Nigerian technology dream is.

  10. Knowledge-based metals & materials

    Sasson, Amir

    2011-01-01

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

  11. Knowledge management based organizations

    Manev Gjorgji

    2015-01-01

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

  12. Fuzzy knowledge bases integration based on ontology

    Ternovoy, Maksym; Shtogrina, Olena

    2012-01-01

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

  13. Emergency Contraception: A Global Overview of Knowledge ...

    Context: Recent concerns over teenage pregnancy, abortion and sexuality have pushed emergency contraceptive methods to the fore once again. The studies on knowledge and attitudes of providers are of particular importance, as they will have direct effects on potential users of emergency contraception. Aim/Method: ...

  14. Knowledge, politics and power in global health

    Brown, Garrett Wallace

    2015-01-01

    This article agrees with recent arguments suggesting that normative and epistemic power is rife within global health policy and provides further examples of such. However, in doing so, it is argued that it is equally important to recognize that global health is, and always will be, deeply political and that some form of power is not only necessary for the system to advance, but also to try and control the ways in which power within that system operates. In this regard, a better focus on health politics can both expose illegitimate sources of power, but also provide better recommendations to facilitate deliberations that can, although imperfectly, help legitimate sources of influence and power. PMID:25674575

  15. Shadow Libraries: Access to Knowledge in Global Higher Education ...

    2018-05-04

    May 4, 2018 ... Shadow Libraries: Access to Knowledge in Global Higher Education ... that are emerging in middle- and low-income countries as opportunities for higher education expand but funding for materials shrinks. ... Innovation.

  16. Querying Natural Logic Knowledge Bases

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

    2017-01-01

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

  17. Sustaining “Lilliputs” in the Global Knowledge-Based Economy: Prospects for Micro, Small, and Medium-Scale Enterprises in the Developing World

    Maria Divina Gracia Z. Roldan

    2015-01-01

    Micro, small, and medium-scale enterprises (MSMEs) comprise bulk of business entities in the developing world. Their contribution is seen in terms of employment generation and capital formation. Seen as the engine of growth in present knowledge-based economies, MSMEs play a crucial role in the economic sustainability of Asian developing countries. This paper discusses the role of MSMEs in Asia, with the Philippines as a case in point. It examines issues and challenges these enterprises face, ...

  18. Establishing Shared Knowledge about Globalization in Asia and the Arctic

    Bertelsen, Rasmus Gjedssø; Graczyk, Piotr

    2016-01-01

    We discuss the role of knowledge in relations between Arctic communities and Asia (the Arctic Council observer states: China, India, Japan, Singapore, South Korea). We argue that mutual and shared knowledge between Arctic communities and Asia is necessary for local benefits and comprehensively su...... sustainable development for Arctic communities under globalization....

  19. Knowledge in Development: Epistemic Machineries in a Global Context

    Evers, Hans-Dieter; Kaiser, Markus; Muller, Christine

    2009-01-01

    Knowledge has become a decisive and competitive resource for local and global development, especially since the paradigm "knowledge for development" was initiated and promoted by the World Bank in 1998-1999. Through the use of novel management structures and technologically supported social networks, development organisations and…

  20. Global knowledge economy in the post-colony: public universities ...

    Annals of Modern Education ... like widening digital divide and increasing exclusion from the global knowledge economy, devaluation of indigenous knowledge systems, increased 'white slavery' and perpetuation of the culture of dependency, as well as lack of self-confidence in local intellectual values and practice.

  1. Ontologies, Knowledge Bases and Knowledge Management

    Chalupsky, Hans

    2002-01-01

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

  2. Orchestration of Globally Distributed Knowledge for Innovation in Multinational Companies

    Sajadirad, Solmaz; Lassen, Astrid Heidemann

    Conducting a multiple-case study in five companies from Danish industry, this paper explores how multinational companies orchestrate knowledge from their globally distributed subsidiaries for innovation. Comparisons of knowledge orchestration within headquarter and subsidiaries for improvement...... and innovation show that a combination of the dynamic use of inter-firm objects and a well-established knowledge orchestration process underlies knowledge orchestration for innovation in multinational companies, as it advances headquarters’ abilities to effectively acquire, evaluate, disseminate, and utilize...... globally distributed knowledge. This study contributes to the understanding of knowledge orchestration between headquarter and distributed subsidiaries in multinational companies and how it is related to innovation. Specifically, this paper has important implications regarding the use of inter-firm objects...

  3. Discourses of knowledge across global networks: What can be learnt about knowledge leadership from the ATLAS collaboration?

    Mabey, Christopher

    2014-01-01

    Writing on knowledge management (KM) and leadership studies tends to take place in parallel; both fields are prolific yet they rarely inform each other. A KM view tends to take a positional view of leaders and a functionalist view of firms: so it regards those with the ascription or status of leaders as pivotal, and knowledge as a commodity to be leveraged with the help of leaders to improve firm performance. But as the global reach of organizations in the knowledge-based economy become more stretched, as their operations become more networked and as their workforces become more mobile, the task of deploying and deriving value from knowledge becomes ever more challenging and calls for a qualitatively different approach which is termed knowledge leadership. In contrast to the instrumentalist approach of KM we offer some alternative discourses of knowledge and explore the implications of these for knowledge leadership. We then use interpretive discourse to examine the way knowledge activists enact and experienc...

  4. KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

    Dragos CRISTEA

    2011-03-01

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

  5. A knowledge based system for plant diagnosis

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

    1984-01-01

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

  6. The Globalization of Value chain activities, Knowledge dynamics, and Innovation

    Park, Eunkyung

    Firms are increasingly relocating diverse activities in the value chain abroad to reap the locational advantage available in other countries. One of the issues raised in this context is that, as global operations can function as channels for knowledge flows, the involved firms and locations may...... of the involved regions and countries. The purpose of this thesis is to study these issues with a broad research question, “What implications does the globalization of value chain activities have on innovation in firms and locations?” Four articles and a case study included in the thesis present empirical results...... gain or lose knowledge associated with the activities that are being globalized. Since knowledge is a critical input for innovation, this has some implications for the capability of firms to create new products and services. At the macro level, it may have an influence on the competitiveness...

  7. It Ain't the Heat, It's the Humanity: Evidence and Implications of a Knowledge-Based Consensus on Man-Made Global Warming

    Jacobs, P.; Cook, J.; Nuccitelli, D. A.

    2013-12-01

    One of the most worrisome misconceptions among the general public about climate change is a belief that scientists disagree not only about the cause of the present climate change, but also whether or not the planet is currently warming. Recent surveys have demonstrated that an overwhelming consensus exists, both within the scientific literature and among scientists with climate expertise, that the planet is warming and humans are driving this climatic change. This disconnect, or 'consensus gap', between scientific agreement and public belief has significant consequences for public understanding of the reality and cause of climate change, as well as support for potential solutions. Ensuring that the consensus message is not simply broadcast but is also accepted as legitimate by the public appears to be a primary education and communications opportunity. While the existence of a consensus is not itself evidence of a position's truth, according to Miller (2013) scientific consensus can be taken as evidence that a position is true if it is 'knowledge-based', satisfying the conditions of social calibration, apparent consilience of evidence, and social diversity. We demonstrate that the scientific consensus on anthropogenic climate change is knowledge-based, satisfying Miller's criteria. In so doing, we hope to increase confidence in its use as an education and communications tool, and assure the public of its validity. We show the consensus is socially calibrated, based on common evidential standards, ontological schemes, and shared formalism. We establish that consilience of evidence points overwhelmingly to the reality of anthropogenic climate change by examining the evidence from several perspectives. We identify unique fingerprints expected as a result of increased greenhouse forcing, eliminate potential natural drivers of climate change as the cause of the present change, and demonstrate the consistency of the observed climate response with known changes in natural

  8. Sustainability in China: Bridging Global Knowledge with Local Action

    Bing Xue

    2015-03-01

    Full Text Available As the biggest emerging and developing country, and the second largest economy on the planet, China’s road to sustainability has attracted global attention; therefore, we need to have a deeper understanding to address this issue at very different levels. This editorial mainly reviews the contributions of the published papers in the Special Issue of “Sustainability in China: Bridging Global Knowledge with Local Action”, the main findings in this special edition suggest that the concept of sustainability is more comprehensive and complex, and the transformation process from scientific knowledge to local action still has a long way to go, not only in China, but also in many developing countries. More research on the fundamental and innovative processes of sustainable transformations should be conducted. China needs to make more efforts to strengthen its road to sustainability, by merging all relevant types of knowledge, both within and outside science, as well as locally and globally.As the biggest emerging and developing country, and the second largest economy on the planet, China's road to sustainability has attracted global attention; therefore, we need to have a deeper understanding to address this issue at very different levels. This editorial mainly reviews the contributions of the published papers in the Special Issue of "Sustainability in China: Bridging Global Knowledge with Local Action", the main findings in this special edition suggest that the concept of sustainability is more comprehensive and complex, and the transformation process from scientific knowledge to local action still has a long way to go, not only in China, but also in many developing countries. More research on the fundamental and innovative processes of sustainable transformations should be conducted. China needs to make more efforts to strengthen its road to sustainability, by merging all relevant types of knowledge, both within and outside science, as well as

  9. Developing and Deploying Knowledge on a Global Scale

    Borron, James; Morales, David; Klahr, Philip

    1996-01-01

    Reuters is a worldwide company focused on supplying financial and news information to its more than 40,000 subscribers around the world. To enhance the quality and consistency of its customer- support organization, Reuters embarked on a global knowledge development and reuse project. The resulting system is in operational use in North America, Europe, and Asia. The system supports 38 Reuter products worldwide. This article presents a case study of Reuter experience in putting a global knowled...

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

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

    2013-01-01

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

  11. Knowledge Acquisition Using Linguistic-Based Knowledge Analysis

    Daniel L. Schmoldt

    1998-01-01

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

  12. Assessing the Future Directions of Global Knowledge Partnership ...

    129124.pdf. Studies. ICT4D and K4D trends : report summary; Global Knowledge Partnership ExCo Meeting, May 26th, Paris. 41221. Papers. GKP Task-Force inputs study : the outlook for using Information and Communications Technologies (ICT) in international development assistance - issues, trends and opportunities.

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

    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 ...

  14. Globalization and loss of plant knowledge: challenging the paradigm.

    Vandebroek, Ina; Balick, Michael J

    2012-01-01

    The erosion of cultural knowledge and traditions as a result of globalization and migration is a commonly reported phenomenon. We compared one type of cultural knowledge about medicinal plants (number of plants reported to treat thirty common health conditions) among Dominican laypersons who self-medicate with plants and live in rural or urban areas of the Dominican Republic (DR), and those who have moved to New York City (NYC). Many plants used as medicines were popular Dominican food plants. These plants were reported significantly more often by Dominicans living in NYC as compared to the DR, and this knowledge was not age-dependent. These results contradict the popular paradigm about loss of cultural plant knowledge and is the first study to report a statistically measurable increase in this type of knowledge associated with migration.

  15. Globalization and Loss of Plant Knowledge: Challenging the Paradigm

    Vandebroek, Ina; Balick, Michael J.

    2012-01-01

    The erosion of cultural knowledge and traditions as a result of globalization and migration is a commonly reported phenomenon. We compared one type of cultural knowledge about medicinal plants (number of plants reported to treat thirty common health conditions) among Dominican laypersons who self-medicate with plants and live in rural or urban areas of the Dominican Republic (DR), and those who have moved to New York City (NYC). Many plants used as medicines were popular Dominican food plants. These plants were reported significantly more often by Dominicans living in NYC as compared to the DR, and this knowledge was not age-dependent. These results contradict the popular paradigm about loss of cultural plant knowledge and is the first study to report a statistically measurable increase in this type of knowledge associated with migration. PMID:22662184

  16. Virtual Competencies and Knowledge Transfer in Global NPD: A Case Study

    Päivi Lohikoski

    2013-12-01

    Full Text Available Virtual new product development teams are geographically dispersed and cross-functional, yet they work on highly interdependent tasks by communicating electronically in work groups. This virtual interdependence, among other issues, presents new challenges for the management of knowledge transfer in global New Product Development (NPD. In this project, virtual competencies were studied with the use of qualitative methods to assess the most significant issues affecting knowledge transfer in virtual settings in global NPD. As a result, the existing theory regarding virtual competencies and virtual organizations was refined and potential barriers for knowledge transfer were discovered. The success of knowledge workers is crucial for the performance of knowledge-based organizations, which form the basis of our global economy; therefore, this study’s findings are significant.

  17. Automated knowledge-base refinement

    Mooney, Raymond J.

    1994-01-01

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

  18. Global property rights. The Kyoto protocol and the knowledge revolution

    Chichilnisky, G.

    2006-01-01

    This paper is about the origin of today's global environmental problems, and how to resolve them. At stake are catastrophic risks from global warming and damage to the world's biodiversity that ranks as the planet' sixth great extinction. The origin of today's global environmental problems is a historic difference in property rights regimes between industrial and developing countries, the North and the South. The solutions we suggest involve redefining property rights in the use of the global environment as well as in knowledge. We discuss the Kyoto Protocol's new systems of property rights on the use of the planet's atmosphere, and propose a parallel system of property rights on knowledge. Resources such as forests and oil and other mineral deposits are owned as private property in industrial countries but they are treated as common or government property in developing countries. Ill-defined protected property rights lead to the over-extraction of resources in the South, such as timber and oil. They are exported at low prices to the North that over-consumes them. The international market amplifies the tragedy of the commons, leading to inferior solutions for the world economy as a whole (Chichilnisky 1994). Updating property rights on resources in developing countries would face formidable opposition. The lack of property rights in inputs to production, such as timber and oil, could be compensated by assigning property rights on by-products of outputs. The 1997 Kyoto Protocol provides an example as it limits the countries' rights to emit carbon, a by-product of burning fossil fuels. Our suggestions for trading emissions rights (Chichilnisky 1995, 96) was adopted in the Kyoto Protocol, yet the atmosphere's carbon concentration is a global public good, which makes trading tricky. Trading rights to forests' carbon sequestration services or to genetic blueprints would also be trading global public goods. Markets that trade public goods have been shown to require a

  19. Role of Knowledge Based Communities in Knowledge Process

    Sebastian Ion CEPTUREANU

    2015-12-01

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

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

    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

  1. What is excellence for Project Management knowledge in the context of globalization?

    Kampf, Constance; Longo, Bernadette

    2009-01-01

    How can technical writers understand not only excellence in Project Management knowledge, but also the effects of globalization on how project management knowledge is used in project conception and project planning when major stakeholders live in third world countries? This study focuses in parti......How can technical writers understand not only excellence in Project Management knowledge, but also the effects of globalization on how project management knowledge is used in project conception and project planning when major stakeholders live in third world countries? This study focuses...... in particular on project conception for the use of cell phone and web 2.0 technologies with an NGO based in the Democratic Republic of Congo. We found that students were able to use knowledge management and knowledge communication concepts to shape their project titles, goals and objectives, as well...

  2. Global warming: knowledge and views of Iranian students.

    Yazdanparast, Taraneh; Salehpour, Sousan; Masjedi, Mohammad Reza; Seyedmehdi, Seyed Mohammad; Boyes, Eddie; Stanisstreet, Martin; Attarchi, Mirsaeed

    2013-04-06

    Study of students' knowledge about global warming can help authorities to have better imagination of this critical environmental problem. This research examines high school students' ideas about greenhouse effect and the results may be useful for the respective authorities to improve cultural and educational aspects of next generation. In this cross-sectional study, a 42 question questionnaire with mix of open and closed questions was used to evaluate high school students' view about the mechanism, consequences, causes and cures of global warming. To assess students' knowledge, cognitive score was also calculated. 1035 students were randomly selected from 19 educational districts of Tehran. Sampling method was multi stage. Only 5.1% of the students could explain greenhouse effect correctly and completely. 88.8% and 71.2% respectively believed "if the greenhouse effect gets bigger the Earth will get hotter" and "incidence of more skin cancers is a consequence of global warming". 69.6% and 68.8% respectively thought "the greenhouse effect is made worse by too much carbon dioxide" and "presence of ozone holes is a cause of greenhouse effect". 68.4% believed "not using cars so much is a cure for global warming". While a student's 'cognitive score' could range from -36 to +36, Students' mean cognitive score was equal to +1.64. Mean cognitive score of male students and grade 2 & 3 students was respectively higher than female ones (P<0.01) and grade 1 students (P<0.001) but there was no statistically significant difference between students of different regions (P>0.05). In general, students' knowledge about global warming was not acceptable and there were some misconceptions in the students' mind, such as supposing ozone holes as a cause and more skin cancer as a consequence of global warming. The Findings of this survey indicate that, this important stratum of society have been received no sufficient and efficient education and sensitization on this matter.

  3. Global Warming: Knowledge and Views of Iranian Students

    Taraneh Yazdanparast, Sousan Salehpour, Mohammad Reza Masjedi, Seyed Mohammad Seyedmehdi, Eddie Boyes, Martin Stanisstreet, Mirsaeed Attarchi

    2013-03-01

    Full Text Available Study of students’ knowledge about global warming can help authorities to have better imagination of this critical environmental problem. This research examines high school students' ideas about greenhouse effect and the results may be useful for the respective authorities to improve cultural and educational aspects of next generation. In this cross-sectional study, a 42 question questionnaire with mix of open and closed questions was used to evaluate high school students' view about the mechanism, consequences, causes and cures of global warming. To assess students’ knowledge, cognitive score was also calculated. 1035 students were randomly selected from 19 educational districts of Tehran. Sampling method was multi stage. Only 5.1% of the students could explain greenhouse effect correctly and completely. 88.8% and 71.2% respectively believed “if the greenhouse effect gets bigger the Earth will get hotter” and “incidence of more skin cancers is a consequence of global warming”. 69.6% and 68.8% respectively thought “the greenhouse effect is made worse by too much carbon dioxide” and “presence of ozone holes is a cause of greenhouse effect”. 68.4% believed “not using cars so much is a cure for global warming”. While a student’s ‘cognitive score’ could range from -36 to +36, Students' mean cognitive score was equal to +1.64. Mean cognitive score of male students and grade 2 & 3 students was respectively higher than female ones (P0.05. In general, students' knowledge about global warming was not acceptable and there were some misconceptions in the students’ mind, such as supposing ozone holes as a cause and more skin cancer as a consequence of global warming. The Findings of this survey indicate that, this important stratum of society have been received no sufficient and efficient education and sensitization on this matter.

  4. Global Mental Health: sharing and synthesizing knowledge for sustainable development.

    O'Donnell, K; O'Donnell, M Lewis

    2016-01-01

    Global mental health (GMH) is a growing domain with an increasing capacity to positively impact the world community's efforts for sustainable development and wellbeing. Sharing and synthesizing GMH and multi-sectoral knowledge, the focus of this paper, is an important way to support these global efforts. This paper consolidates some of the most recent and relevant 'context resources' [global multi-sector (GMS) materials, emphasizing world reports on major issues] and 'core resources' (GMH materials, including newsletters, texts, conferences, training, etc.). In addition to offering a guided index of materials, it presents an orientation framework (global integration) to help make important information as accessible and useful as possible. Mental health colleagues are encouraged to stay current in GMH and global issues, to engage in the emerging agendas for sustainable development and wellbeing, and to intentionally connect and contribute across sectors. Colleagues in all sectors are encouraged to do likewise, and to take advantage of the wealth of shared and synthesized knowledge in the GMH domain, such as the materials featured in this paper.

  5. Assessing the Cost of Global Biodiversity and Conservation Knowledge.

    Juffe-Bignoli, Diego; Brooks, Thomas M; Butchart, Stuart H M; Jenkins, Richard B; Boe, Kaia; Hoffmann, Michael; Angulo, Ariadne; Bachman, Steve; Böhm, Monika; Brummitt, Neil; Carpenter, Kent E; Comer, Pat J; Cox, Neil; Cuttelod, Annabelle; Darwall, William R T; Di Marco, Moreno; Fishpool, Lincoln D C; Goettsch, Bárbara; Heath, Melanie; Hilton-Taylor, Craig; Hutton, Jon; Johnson, Tim; Joolia, Ackbar; Keith, David A; Langhammer, Penny F; Luedtke, Jennifer; Nic Lughadha, Eimear; Lutz, Maiko; May, Ian; Miller, Rebecca M; Oliveira-Miranda, María A; Parr, Mike; Pollock, Caroline M; Ralph, Gina; Rodríguez, Jon Paul; Rondinini, Carlo; Smart, Jane; Stuart, Simon; Symes, Andy; Tordoff, Andrew W; Woodley, Stephen; Young, Bruce; Kingston, Naomi

    2016-01-01

    Knowledge products comprise assessments of authoritative information supported by standards, governance, quality control, data, tools, and capacity building mechanisms. Considerable resources are dedicated to developing and maintaining knowledge products for biodiversity conservation, and they are widely used to inform policy and advise decision makers and practitioners. However, the financial cost of delivering this information is largely undocumented. We evaluated the costs and funding sources for developing and maintaining four global biodiversity and conservation knowledge products: The IUCN Red List of Threatened Species, the IUCN Red List of Ecosystems, Protected Planet, and the World Database of Key Biodiversity Areas. These are secondary data sets, built on primary data collected by extensive networks of expert contributors worldwide. We estimate that US$160 million (range: US$116-204 million), plus 293 person-years of volunteer time (range: 278-308 person-years) valued at US$ 14 million (range US$12-16 million), were invested in these four knowledge products between 1979 and 2013. More than half of this financing was provided through philanthropy, and nearly three-quarters was spent on personnel costs. The estimated annual cost of maintaining data and platforms for three of these knowledge products (excluding the IUCN Red List of Ecosystems for which annual costs were not possible to estimate for 2013) is US$6.5 million in total (range: US$6.2-6.7 million). We estimated that an additional US$114 million will be needed to reach pre-defined baselines of data coverage for all the four knowledge products, and that once achieved, annual maintenance costs will be approximately US$12 million. These costs are much lower than those to maintain many other, similarly important, global knowledge products. Ensuring that biodiversity and conservation knowledge products are sufficiently up to date, comprehensive and accurate is fundamental to inform decision-making for

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

    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

  7. The global land-potential knowledge system (LandPKS): Supporting evidence-based, site-specific land use and management through cloud computing, mobile applications and crowdsourcing

    Agricultural production must increase significantly to meet the needs of a growing global population with increasing per capita consumption of food, fiber, building materials, and fuel. Consumption already exceeds net primary production in many parts of the world. In addition to reducing consumptio...

  8. Orchestration of Globally Distributed Knowledge within MNC Network

    Sajadirad, Solmaz; Lassen, Astrid Heidemann; Søberg, Peder Veng

    2017-01-01

    distributed knowledge in multinational companies. The findings also indicate that adoption of different knowledge orchestration approaches by companies can be influenced by headquarter-subsidiaries relationship, type of products, knowledge relevance between headquarter and subsidiaries, and level...... on knowledge orchestration in multinational companies. By introducing a dynamic view of the use of inter-firm objects, facilitating collaboration between headquarters and subsidiaries, our findings would help multinational companies improve headquarter-subsidiaries relationship in favor of the efficiency......This paper explores how the use of inter-firm objects within different knowledge orchestration processes affects collaboration between headquarter and distributed subsidiaries. The discussion focuses on different approaches to knowledge orchestration based on combinations of the use of inter...

  9. Closing global knowledge gaps : Producing generalized knowledge from case studies of social-ecological systems

    Magliocca, Nicholas R.; Ellis, Erle C.; Allington, Ginger R.H.; de Bremond, Ariane; Dell'Angelo, Jampel; Mertz, Ole; Messerli, Peter; Meyfroidt, Patrick; Seppelt, Ralf; Verburg, Peter H.

    2018-01-01

    Concerns over rapid widespread changes in social-ecological systems and their consequences for biodiversity, ecosystem functioning, food security, and human livelihoods are driving demands for globally comprehensive knowledge to support decision-making and policy development. Claims of regional or

  10. Assessing the Cost of Global Biodiversity and Conservation Knowledge.

    Diego Juffe-Bignoli

    Full Text Available Knowledge products comprise assessments of authoritative information supported by standards, governance, quality control, data, tools, and capacity building mechanisms. Considerable resources are dedicated to developing and maintaining knowledge products for biodiversity conservation, and they are widely used to inform policy and advise decision makers and practitioners. However, the financial cost of delivering this information is largely undocumented. We evaluated the costs and funding sources for developing and maintaining four global biodiversity and conservation knowledge products: The IUCN Red List of Threatened Species, the IUCN Red List of Ecosystems, Protected Planet, and the World Database of Key Biodiversity Areas. These are secondary data sets, built on primary data collected by extensive networks of expert contributors worldwide. We estimate that US$160 million (range: US$116-204 million, plus 293 person-years of volunteer time (range: 278-308 person-years valued at US$ 14 million (range US$12-16 million, were invested in these four knowledge products between 1979 and 2013. More than half of this financing was provided through philanthropy, and nearly three-quarters was spent on personnel costs. The estimated annual cost of maintaining data and platforms for three of these knowledge products (excluding the IUCN Red List of Ecosystems for which annual costs were not possible to estimate for 2013 is US$6.5 million in total (range: US$6.2-6.7 million. We estimated that an additional US$114 million will be needed to reach pre-defined baselines of data coverage for all the four knowledge products, and that once achieved, annual maintenance costs will be approximately US$12 million. These costs are much lower than those to maintain many other, similarly important, global knowledge products. Ensuring that biodiversity and conservation knowledge products are sufficiently up to date, comprehensive and accurate is fundamental to inform

  11. A knowledge base architecture for distributed knowledge agents

    Riedesel, Joel; Walls, Bryan

    1990-01-01

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

  12. Knowledge Base Editor (SharpKBE)

    Tikidjian, Raffi; James, Mark; Mackey, Ryan

    2007-01-01

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

  13. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

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

    2017-01-01

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

  14. Global Knowledge Futures: Articulating the Emergence of a New Meta-level Field

    Jennifer M. Gidley

    2013-06-01

    Full Text Available In this paper I articulate a new meta-level field of studies that I call global knowledge futures—a field through which other emerging transdisciplinary fields can be integrated to cohere knowledge at a higher level. I contrast this with the current dominant knowledge paradigm of the global knowledge economy with its fragmentation, commodification and instrumentalism based on neoliberal knowledge capitalism. I take a big-picture, macrohistorical lens to the new thinking and new knowledge patterns that are emerging within the evolution of consciousness discourse. I explore three discourses: postformal studies, integral studies and planetary studies—using a fourth discourse, futures studies, to provide a macro-temporal framing. By extending the meta-fields of postformal, integral and planetary studies into a prospective future dimension, I locate areas of development where these leading-edge discourses can be brought into closer dialogue with each other. In this meeting point of four boundary-spanning discourses I identify the new meta-level field of global knowledge futures, grounded in human thinking capacities, such as creativity, imagination, dialogue and collaboration.

  15. Understanding images using knowledge based approach

    Tascini, G.

    1985-01-01

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

  16. Knowledge and networks - key sources of power in global health: Comment on "Knowledge, moral claims and the exercise of power in global health".

    Hanefeld, Johanna; Walt, Gill

    2015-02-01

    Shiffman rightly raises questions about who exercises power in global health, suggesting power is a complex concept, and the way it is exercised is often opaque. Power that is not based on financial strength but on knowledge or experience, is difficult to estimate, and yet it may provide the legitimacy to make moral claims on what is, or ought to be, on global health agendas. Twenty years ago power was exercised in a much less complex health environment. The World Health Organization (WHO) was able to exert its authority as world health leader. The landscape today is very different. Financial resources for global health are being competed for by diverse organisations, and power is diffused and somewhat hidden in such a climate, where each organization has to establish and make its own moral claims loudly and publicly. We observe two ways which allow actors to capture moral authority in global health. One, through power based on scientific knowledge and two, through procedures in the policy process, most commonly associated with the notion of broad consultation and participation. We discuss these drawing on one particular framework provided by Bourdieu, who analyses the source of actor power by focusing on different sorts of capital. Different approaches or theories to understanding power will go some way to answering the challenge Shiffman throws to health policy analysts. We need to explore much more fully where power lies in global health, and how it is exercised in order to understand underlying health agendas and claims to legitimacy made by global health actors today.

  17. Global contrast based salient region detection

    Cheng, Ming-Ming

    2011-08-25

    Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in many computer vision tasks including image segmentation, object recognition, and adaptive compression. We propose a regional contrast based saliency extraction algorithm, which simultaneously evaluates global contrast differences and spatial coherence. The proposed algorithm is simple, efficient, and yields full resolution saliency maps. Our algorithm consistently outperformed existing saliency detection methods, yielding higher precision and better recall rates, when evaluated using one of the largest publicly available data sets. We also demonstrate how the extracted saliency map can be used to create high quality segmentation masks for subsequent image processing.

  18. Global contrast based salient region detection

    Cheng, Ming-Ming; Zhang, Guo-Xin; Mitra, Niloy J.; Huang, Xiaolei; Hu, Shi-Min

    2011-01-01

    Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in many computer vision tasks including image segmentation, object recognition, and adaptive compression. We propose a regional contrast based saliency extraction algorithm, which simultaneously evaluates global contrast differences and spatial coherence. The proposed algorithm is simple, efficient, and yields full resolution saliency maps. Our algorithm consistently outperformed existing saliency detection methods, yielding higher precision and better recall rates, when evaluated using one of the largest publicly available data sets. We also demonstrate how the extracted saliency map can be used to create high quality segmentation masks for subsequent image processing.

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

    Nielsen, Bo Bernhard; Michailova, Snejina

    2004-01-01

    According to Heinrich v. Pierer, CEO at Siemens, `an e-business year is only three months long. Ifyou want to be a leader in this fast-paced world, you must be faster than the others. Just being onboard is by far not enough'. The ability to be faster than others, however, is only relevant...... if it islinked to management of key assets in the pursuit of continuous competitive advantage. The keyasset of the present is knowledge and in the future it is likely to be continuous and timelyinnovation based on effective management of knowledge assets. Most firms today, however, lack aneffective Knowledge......-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...

  20. Global Journalism Ethics: Widening the Conceptual Base

    Stephen J. A. Ward

    2008-01-01

    Full Text Available For most of its history, journalism ethics has been highly practical in aim, in theorizing, and in application. Inquiry analyzed what was occurring inside newsrooms and its scope was parochial. Starting from the premise that a parochial approach no longer serves journalism, the study of journalism, or the public of journalism, in this paper it is argued that a major task of journalism ethics is to construct a more non-parochial ethics—a global journalism ethics informed by critical work from various disciplines and cultures. The discussion presented charts the trajectory of journalism ethics over several centuries to explain the role of parochialism and the limits of theorizing in journalism ethics. This historical perspective also serves as a foundation for outlining what a future journalism ethics might look like, if we widen the conceptual base by incorporating new knowledge of media from outside journalism ethics, and by redefining journalism ethics as a global enterprise.

  1. 3cixty: Building comprehensive knowledge bases for city exploration

    Troncy, Raphaël; Rizzo, Giuseppe; Jameson, Anthony; Corcho, Oscar; Plu, Julien; Palumbo, Enrico; Ballesteros Hermida, Juan Carlos; Spirescu, Adrian; Kuhn, Kai Dominik; Barbu, Catalin; Rossi, Matteo; Celino, Irene; Agarwal, Rachit; Scanu, Christian; Valla, Massimo

    2017-01-01

    International audience; Planning a visit to Expo Milano 2015 or simply touring in Milan are activities that require a certain amount of a priori knowledge of the city. In this paper, we present the process of building such comprehensive knowledge bases that contain descriptions of events and activities, places and sights, transportation facilities as well as social activities, collected from numerous static, near-and real-time local and global data providers, including hyper local sources suc...

  2. Knowledge discovery based on experiential learning corporate culture management

    Tu, Kai-Jan

    2014-10-01

    A good corporate culture based on humanistic theory can make the enterprise's management very effective, all enterprise's members have strong cohesion and centripetal force. With experiential learning model, the enterprise can establish an enthusiastic learning spirit corporate culture, have innovation ability to gain the positive knowledge growth effect, and to meet the fierce global marketing competition. A case study on Trend's corporate culture can offer the proof of industry knowledge growth rate equation as the contribution to experiential learning corporate culture management.

  3. Tools for the Knowledge-Based Organization

    Ravn, Ib

    2002-01-01

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

  4. Validation Of Critical Knowledge-Based Systems

    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.

  5. Knowledge Based Oil and Gas Industry

    Sasson, Amir; Blomgren, Atle

    2011-07-01

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

  6. Knowledge Based Oil and Gas Industry

    Sasson, Amir; Blomgren, Atle

    2011-01-01

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

  7. A Knowledge-based Recommendation Framework using SVN Numbers

    Roddy Cabezas Padilla

    2017-06-01

    Full Text Available Current knowledge based recommender systems, despite proven useful and having a high impact, persist with some shortcomings. Among its limitations are the lack of more flexible models and the inclusion of indeterminacy of the factors involved for computing a global similarity.

  8. Making sense of global warming: Norwegians appropriating knowledge of anthropogenic climate change.

    Ryghaug, Marianne; Sørensen, Knut Holtan; Naess, Robert

    2011-11-01

    This paper studies how people reason about and make sense of human-made global warming, based on ten focus group interviews with Norwegian citizens. It shows that the domestication of climate science knowledge was shaped through five sense-making devices: news media coverage of changes in nature, particularly the weather, the coverage of presumed experts' disagreement about global warming, critical attitudes towards media, observations of political inaction, and considerations with respect to everyday life. These sense-making devices allowed for ambiguous outcomes, and the paper argues four main outcomes with respect to the domestication processes: the acceptors, the tempered acceptors, the uncertain and the sceptics.

  9. Associations for Citizen Science: Regional Knowledge, Global Collaboration

    Martin Storksdieck

    2016-11-01

    Full Text Available Since 2012, three organizations advancing the work of citizen science practitioners have arisen in different regions: The primarily US-based but globally open Citizen Science Association (CSA, the European Citizen Science Association (ECSA, and the Australian Citizen Science Association (ACSA. These associations are moving rapidly to establish themselves and to develop inter-association collaborations. We consider the factors driving this emergence and the significance of this trend for citizen science as a field of practice, as an area of scholarship, and for the culture of scientific research itself.

  10. Automatic Knowledge Base Evolution by Learning Instances

    Kim, Sundong

    2016-01-01

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

  11. A knowledge base browser using hypermedia

    Pocklington, Tony; Wang, Lui

    1990-01-01

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

  12. Knowledge based economy: The role of expert diaspora

    Filipović Jovan

    2012-01-01

    Full Text Available Diasporas stand out as an economic or cultural avant-garde of transformation. This is especially true for academic and other intellectual Diaspora communities, because science and knowledge creation are global enterprises. Proclivity of knowledge workers to move in order to improve and absorb transnational knowledge through Diaspora networks might be an essential quality of an emerging national economy of a developing country. The article treats the role of expert Diaspora in knowledge based economy, innovation and talent management. Besides presenting the essentials of knowledge based economy and innovation, it discusses the role of expert Diaspora in science, technology and innovation (STI capacity building. Also, the article emphasizes the importance of leadership for talent and its implications for Diaspora. Using WEF statistics, it illustrates negative consequences of the sad policy of “Chaseaway the brightest and the best” for innovative capacity, competitiveness, and prosperity of nations.

  13. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

    Chunhua Li

    2017-01-01

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

  14. Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

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

    2017-01-01

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

  15. Current trends on knowledge-based systems

    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...

  16. EVALUATING HUMAN CAPITAL IN A KNOWLEDGEBASED APPROACH

    Emanoil MUSCALU

    2014-04-01

    Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.

  17. Community-based knowledge translation: unexplored opportunities

    Armstrong Rebecca

    2011-06-01

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

  18. Socially Relevant Knowledge Based Telemedicine

    2010-10-01

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

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

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

  20. Local-global knowledge sourcing in the context of an open innovation knowledge platform : the case of Amsterdam Denim City

    DiVito, Lori; Ingen-Housz, Zita

    2016-01-01

    Our paper investigates the inherent tensions between the local embeddedness of highly tacit knowledge and the global sourcing of ‘open’ knowledge or innovation. A single case study design enabled us to perform a thorough and detailed analysis of inter-firm collaboration and open innovation within

  1. Knowledge and networks – key sources of power in global health

    Hanefeld, Johanna; Walt, Gill

    2015-01-01

    Shiffman rightly raises questions about who exercises power in global health, suggesting power is a complex concept, and the way it is exercised is often opaque. Power that is not based on financial strength but on knowledge or experience, is difficult to estimate, and yet it may provide the legitimacy to make moral claims on what is, or ought to be, on global health agendas. Twenty years ago power was exercised in a much less complex health environment. The World Health Organization (WHO) was able to exert its authority as world health leader. The landscape today is very different. Financial resources for global health are being competed for by diverse organisations, and power is diffused and somewhat hidden in such a climate, where each organization has to establish and make its own moral claims loudly and publicly. We observe two ways which allow actors to capture moral authority in global health. One, through power based on scientific knowledge and two, through procedures in the policy process, most commonly associated with the notion of broad consultation and participation. We discuss these drawing on one particular framework provided by Bourdieu, who analyses the source of actor power by focusing on different sorts of capital. Different approaches or theories to understanding power will go some way to answering the challenge Shiffman throws to health policy analysts. We need to explore much more fully where power lies in global health, and how it is exercised in order to understand underlying health agendas and claims to legitimacy made by global health actors today. PMID:25674577

  2. An Insulating Glass Knowledge Base

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

    2005-08-01

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

  3. The Coming of Knowledge-Based Business.

    Davis, Stan; Botkin, Jim

    1994-01-01

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

  4. Methodology for testing and validating knowledge bases

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

    1987-01-01

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

  5. Distributed, cooperating knowledge-based systems

    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. What does policy-relevant global environmental knowledge do? The cases of climate and biodiversity

    Turnhout, E.; Dewulf, A.R.P.J.; Hulme, M.

    2016-01-01

    There is a surge in global knowledge-making efforts to inform environmental governance. This article synthesises the current state of the art of social science scholarship about the generation and use of global environmental knowledge. We focus specifically on the issues of scale — providing

  7. Fostering Local Knowledge and Human Development in Globalization of Education

    Cheng, Yin Cheong

    2004-01-01

    Since there are increasing international concerns with both the positive and negative impacts of globalization on indigenous and national development, how to manage the realities and practices of globalization and localization in education for maximizing the benefits and minimizing the disadvantages for the development of individuals and their…

  8. KNOWLEDGE AND XML BASED CAPP SYSTEM

    ZHANG Shijie; SONG Laigang

    2006-01-01

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

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

    Rus Mircea-Iosif

    2013-07-01

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

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

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

    2018-02-15

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

  11. Management of technical knowledge in strengthening the global nuclear safety regime

    Kang, C.-S.

    2006-01-01

    The management of technical knowledge is becoming one of the key issues and challenges in strengthening global nuclear safety. The success of the industry depends on how to optimize knowledge acquisition, transfer and deployment. In this presentation, joint conduct of large-scale R and D work, assurance of free flow of safety-related knowledge from developed to developing nations, and potential imposition of a trade agreement between nuclear exporting and importing nations are discussed. The introduction of a 'Global Nuclear Safety Treaty' could be an excellent mechanism for achieving effective knowledge management and eventually enforcing a global safety regime. (author)

  12. Weather, knowledge base and life-style

    Bohle, Martin

    2015-04-01

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

  13. Bridging the gap: simulations meet knowledge bases

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

    2003-09-01

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

  14. The Ontology of Knowledge Based Optimization

    Nasution, Mahyuddin K. M.

    2012-01-01

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

  15. Knowledge base verification based on enhanced colored petri net

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

    1997-12-31

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

  16. Knowledge base verification based on enhanced colored petri net

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

    1998-12-31

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

  17. A Knowledge Based Approach to VLSI CAD

    1983-09-01

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

  18. Model-based explanation of plant knowledge

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

    1997-12-31

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

  19. Model-based explanation of plant knowledge

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

    1998-12-31

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

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

    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

  1. Knowledge-based scheduling of arrival aircraft

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

    1995-01-01

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

  2. Knowledge-based diagnosis for aerospace systems

    Atkinson, David J.

    1988-01-01

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

  3. Knowledge based economy in European Union

    Ecaterina Stănculescu

    2012-04-01

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

  4. Globalization: an open door for the knowledge economy

    Andreea MARIN-PANTELESCU

    2009-12-01

    Full Text Available Globalization refers to an emphasized process of global integration and spreading a set of ideas related to the economical activity and goods’ production, the premises being the liberalization of international commerce and the capital flows, the speeding up of the technological progress and informational society. The cognitive society is more and more obvious and unanimously accepted, which actually proves its efficiency. If traditional, conservative communities, which are not open to change and reject from the start anything new on the horizon, still exist today, they are isolated cases that will eventually be "converted" by this wave of information that has become indispensable to any development because in its absence resources could not be used efficiently. Taking into consideration these elements, this paper wishes to give arguments to the fact that globalization can be seen as being an open door for the cognitive society.

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

    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.

  6. KNOWLEDGE MANAGEMENT TOOLS FOR THE EUROPEAN KNOWLEDGE BASED SOCIETY

    Ramona – Diana Leon

    2011-12-01

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

  7. From Data to Knowledge: GEOSS experience and the GEOSS Knowledge Base contribution to the GCI

    Santoro, M.; Nativi, S.; Mazzetti, P., Sr.; Plag, H. P.

    2016-12-01

    According to systems theory, data is raw, it simply exists and has no significance beyond its existence; while, information is data that has been given meaning by way of relational connection. The appropriate collection of information, such that it contributes to understanding, is a process of knowledge creation.The Global Earth Observation System of Systems (GEOSS) developed by the Group on Earth Observations (GEO) is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors. GEOSS links these systems to strengthen the monitoring of the state of the Earth. In the past ten years, the development of GEOSS has taught several lessons dealing with the need to move from (open) data to information and knowledge sharing. Advanced user-focused services require to move from a data-driven framework to a knowledge sharing platform. Such a platform needs to manage information and knowledge, in addition to datasets linked to them. For this scope, GEO has launched a specific task called "GEOSS Knowledge Base", which deals with resources, like user requirements, Sustainable Development Goals (SDGs), observation and processing ontologies, publications, guidelines, best practices, business processes/algorithms, definition of advanced concepts like Essential Variables (EVs), indicators, strategic goals, etc. In turn, information and knowledge (e.g. guidelines, best practices, user requirements, business processes, algorithms, etc.) can be used to generate additional information and knowledge from shared datasets. To fully utilize and leverage the GEOSS Knowledge Base, the current GEOSS Common Infrastructure (GCI) model will be extended and advanced to consider important concepts and implementation artifacts, such as data processing services and environmental/economic models as well as EVs, Primary Indicators, and SDGs. The new GCI model

  8. Knowledge bases for modelisation of industrial plants

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

    1992-01-01

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

  9. Knowledge based management of technical specifications

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

    1992-01-01

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

  10. Information modelling and knowledge bases XXV

    Tokuda, T; Jaakkola, H; Yoshida, N

    2014-01-01

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

  11. Knowledge-inducing Global Path Planning for Robots in Environment with Hybrid Terrain

    Yi-nan Guo

    2010-09-01

    Full Text Available In complex environment with hybrid terrain, different regions may have different terrain. Path planning for robots in such environment is an open NP-complete problem, which lacks effective methods. The paper develops a novel global path planning method based on common sense and evolution knowledge by adopting dual evolution structure in culture algorithms. Common sense describes terrain information and feasibility of environment, which is used to evaluate and select the paths. Evolution knowledge describes the angle relationship between the path and the obstacles, or the common segments of paths, which is used to judge and repair infeasible individuals. Taken two types of environments with different obstacles and terrain as examples, simulation results indicate that the algorithm can effectively solve path planning problem in complex environment and decrease the computation complexity for judgment and repair of infeasible individuals. It also can improve the convergence speed and have better computation stability.

  12. Watch: Current knowledge of the terrestrial Global Water Cycle"

    Harding, R.; Best, M.; Hagemann, S.; Kabat, P.; Tallaksen, L.M.; Warnaars, T.; Wiberg, D.; Weedon, G.P.; Lanen, van H.A.J.; Ludwig, F.; Haddeland, I.

    2011-01-01

    Water-related impacts are among the most important consequences of increasing greenhouse gas concentrations. Changes in the global water cycle will also impact the carbon and nutrient cycles and vegetation patterns. There is already some evidence of increasing severity of floods and droughts and

  13. The Global Physical Inactivity Pandemic: An Analysis of Knowledge Production

    Piggin, Joe; Bairner, Alan

    2016-01-01

    In July 2012, "The Lancet" announced a pandemic of physical inactivity and a global call to action to effect change. The worldwide pandemic is said to be claiming millions of lives every year. Asserting that physical inactivity is pandemic is an important moment. Given the purported scale and significance of physical inactivity around…

  14. Understanding fear of opportunism in global prize-based science contests : Evidence for gender and age differences

    O.A. Acar (Oguz); J.C.M. van den Ende (Jan)

    2015-01-01

    textabstractGlobal prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure,

  15. Local Knowledge and Community–Based Assessment of ...

    Although much scientific knowledge exists about global environmental ... to an understanding of local knowledge on environmental change through Community Risk ... Rural Appraisal (PRA) methods were employed for data collection and ...

  16. What’s Next: The Status of ISO Global KM Standards and the Importance of Managing Knowledge Assets

    Young, R.

    2016-01-01

    Full text: Ron Young, CEO of Knowledge Associates International, based in Cambridge UK, is Chair of the BSI KM Standards Committee KMS/1, member of the BSI Asset Management Committee AMS/1 working with ISO 55000, and member of the ISO 30401 workgroup developing a global KM Standard. He will present the benefits, challenges and implications of a global KM standard, from his perspective, and give an update on the ISO/BSI standard development. He will also provide insights into the latest developments with knowledge asset management. (author

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

    Koenig, E C

    1982-01-01

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

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

    Genuardi, Michael T.

    1993-01-01

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

  19. Knowledge formations in Problem Based Learning

    Larsen, Verner

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

  20. VICKEY: Mining Conditional Keys on Knowledge Bases

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

    2017-01-01

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

  1. Improving the Knowledge Base in Teacher Education.

    Rockler, Michael J.

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

  2. Tiger: knowledge based gas turbine condition monitoring

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

    1995-12-31

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

  3. Tiger: knowledge based gas turbine condition monitoring

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

    1996-12-31

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

  4. International knowledge mobility and urban development in rapidly globalizing areas: building global hubs for talent in Dubai and Abu Dhabi

    Ewers, Michael

    2016-01-01

    This paper examines the processes through which the United Arab Emirates’ (UAE) cities of Abu Dhabi and Dubai attract and integrate knowledge workers into their labor markets. It focuses on how the UAE has acquired the human capital to create post-oil economies, deploying its oil windfalls into massive urban development strategies in order to create global hubs for talent. More significantly, it analyzes how the UAE’s strategies and frameworks for attracting global knowle...

  5. Knowledge-based systems programming for knowledge intensive teaching

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

    1995-01-01

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

  6. Knowledge-based systems programming for knowledge intensive teaching

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

    1994-01-01

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

  7. Looking Through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners.

    Limaye, Rupali J; Sullivan, Tara M; Dalessandro, Scott; Jenkins, Ann Hendrix

    2017-04-13

    Knowledge management plays a critical role in global health. Global health practitioners require knowledge in every aspect of their jobs, and in resource-scarce contexts, practitioners must be able to rely on a knowledge management system to access the latest research and practice to ensure the highest quality of care. However, we suggest that there is a gap in the way knowledge management is primarily utilized in global health, namely, the systematic incorporation of human and social factors. In this paper, we briefly outline the evolution of knowledge management and then propose a conceptualization of knowledge management that incorporates human and social factors for use within a global health context. Our conceptualization of social knowledge management recognizes the importance of social capital, social learning, social software and platforms, and social networks , all within the context of a larger social system and driven by social benefit . We then outline the limitations and discuss future directions of our conceptualization, and suggest how this new conceptualization is essential for any global health practitioner in the business of managing knowledge.

  8. Global knowledge, local implications: a community college's response

    Valentin, Marjorie R.; Stroup, Margaret H.; Donnelly, Judith F.

    2005-10-01

    Three Rivers Community College (TRCC), with federal funding, provided a customized laser program for Joining Technologies in Connecticut, which offers world-class resources for welding and joining applications. This program addresses the shortage of skilled labor in the laser arena, lack of knowledge of fundamental science of applied light, and an increase in nonperforming product. Hiring and retraining a skilled workforce are important and costly issues facing today's small manufacturing companies.

  9. Social Justice and Lower Attainers in a Global Knowledge Economy

    Sally Tomlinson

    2013-01-01

    National governments believe that higher levels of educational attainments and training are necessary for successful competition in knowledge-driven economies and all young people are urged to invest in their own human capital and learn new skills. Moves towards inclusive education have brought into mainstream schools and colleges many who would formerly have been segregated in special schooling or otherwise given minimum education, joining those simply regarded as lower attainers. More resea...

  10. Knowledge based diagnostics in nuclear power plants

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

    1987-01-01

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

  11. Knowledge Based Understanding of Radiology Text

    Ranum, David L.

    1988-01-01

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

  12. Agricultural biotechnology and its contribution to the global knowledge economy.

    Aerni, Philipp

    2007-01-01

    The theory of neoclassical welfare economics largely shaped international and national agricultural policies during the Cold War period. It treated technology as an exogenous factor that could boost agricultural productivity but not necessarily sustainable agriculture. New growth theory, the economic theory of the new knowledge economy, treats technological change as endogenous and argues that intangible assets such as human capital and knowledge are the drivers of sustainable economic development. In this context, the combined use of agricultural biotechnology and information technology has a great potential, not just to boost economic growth but also to empower people in developing countries and improve the sustainable management of natural resources. This article outlines the major ideas behind new growth theory and explains why agricultural economists and agricultural policy-makers still tend to stick to old welfare economics. Finally, the article uses the case of the Cassava Biotechnology Network (CBN) to illustrate an example of how new growth theory can be applied in the fight against poverty. CBN is a successful interdisciplinary crop research network that makes use of the new knowledge economy to produce new goods that empower the poor and improve the productivity and nutritional quality of cassava. It shows that the potential benefits of agricultural biotechnology go far beyond the already known productivity increases and pesticide use reductions of existing GM crops.

  13. The Role of a Human Factor and Psychological Contract in Managing the Knowledge in Conditions of Globalization

    Joanna Rębisz

    2008-07-01

    Full Text Available The modern business world is characterized by dynamic, changing markets and continuous technological advance. This article focuses on an issue related to a definition of the meaning of a man and his location in an organization that works in conditions of globalization. Certainly, the meaning of human as the source of knowledge in the development of organization is not a new subject. Knowledge is intrinsically linked to people and enables them to act. Modern organizations base their theory on the knowledge they can exploit to improve the competence of the employee, his loyalty and commitment to the company which aims at the competitive predominance. The identification of knowledge is necessary for the effective implementation of knowledge management system. Above all, presented theoretical analysis pinpoints mainly on discussing a mans role and psychological contract in managing the knowledge.

  14. The Knowledge Wall for the Global 2000 War Game: Design Solutions to Match JOC User Requirements

    Smallman, H

    2001-01-01

    ...) for the Global 2000 War Game. What features and content should this new display possess? This report presents a Knowledge Wall design capable of meeting these requirements and elaborates its design features from the 'ground...

  15. THE ROLE OF INTELLECTUAL CAPITAL IN KNOWLEDGE - BASED SOCIETY

    Denisa-Elena Parpandel

    2013-01-01

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

  16. Negotiating Knowledges Abroad: Non-Western Students and the Global Mobility of Knowledge

    van Oorschot, Irene

    2014-01-01

    Taking the Institute for Housing Studies in Rotterdam as a case study, this paper aims to theorise the ways non-Western, international students construct and negotiate knowledges in Western institutions of higher education. It describes the types of knowledges these students identify as characteristic of their learning abroad, distinguishing…

  17. Knowledge-based information systems in practice

    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...

  18. An Ebola virus-centered knowledge base

    Kamdar, Maulik R.; Dumontier, Michel

    2015-01-01

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

  19. An Ebola virus-centered knowledge base.

    Kamdar, Maulik R; Dumontier, Michel

    2015-01-01

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

  20. To Capture Dynamic Shop Floor Knowledge in Global Production Networks

    Madsen, Erik Skov; Riis, Jens Ove; Sørensen, Brian Vejrum

    2007-01-01

    ­ing of the jobs to be transferred and has led to a changed focus for training new workers. Secondly, the paper will address how to capture the knowl­edge associated with carrying out these jobs. And third, planning the trans­fer process will be discussed to form a basis for future continuous improve...... industrial companies with plans to transfer production units to an­other location, this paper addresses  the initial steps of pursuing this issue by presenting and testing a model for identification of the activities, task and  knowledge on the shop floor jobs. This has provided a broader understand...

  1. Can Knowledge Management Become Global? - Consulting Engineering Companies in the Knowledge Economy

    Koch, Christian

    2004-01-01

    The paper presents different strategies for consulting engineering companies in the emergent global economy. It is a common assumption that players can obtain market gain through cross border mergers, acquisitions, or strategic alliances in synchronisation with internal organisation. Many big...

  2. XML-Based SHINE Knowledge Base Interchange Language

    James, Mark; Mackey, Ryan; Tikidjian, Raffi

    2008-01-01

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

  3. Power and Networks in Worldwide Knowledge Coordination: The Case of Global Science

    King, Roger

    2011-01-01

    The article considers the global governance of knowledge systems, exploring concepts of power, networks, standards (defined as normative practices), and structuration. The focus is on science as a form of predominantly private global governance, particularly the self-regulatory and collaborative processes stretching across time and space. These…

  4. The Determination of Children's Knowledge of Global Lunar Patterns from Online Essays Using Text Mining Analysis

    Cheon, Jongpil; Lee, Sangno; Smith, Walter; Song, Jaeki; Kim, Yongjin

    2013-01-01

    The purpose of this study was to use text mining analysis of early adolescents' online essays to determine their knowledge of global lunar patterns. Australian and American students in grades five to seven wrote about global lunar patterns they had discovered by sharing observations with each other via the Internet. These essays were analyzed for…

  5. New science for global sustainability? The institutionalisation of knowledge co-production in Future Earth

    van der Hel, S.C.

    2016-01-01

    In the context of complex and unprecedented issues of global change, calls for new modes of knowledge production that are better equipped to address urgent challenges of global sustainability are increasingly frequent. This paper presents a case study of the new major research programme “Future

  6. Teachers and Students Knowledge about Global Warming: A Study in Smoke Disaster Area of Indonesia

    Rosidin, Undang; Suyatna, Agus

    2017-01-01

    The average temperature on the Earth's surface has globally increased. This issue was generally caused by the increasing of greenhouse gases concentrations due to human activities. Therefore, the knowledge about global warming becomes major topics for students and educators. This research aimed to investigate how the teachers and students…

  7. Satellite Contamination and Materials Outgassing Knowledge base

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

    2001-01-01

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

  8. Presentation planning using an integrated knowledge base

    Arens, Yigal; Miller, Lawrence; Sondheimer, Norman

    1988-01-01

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

  9. Knowledge based systems for intelligent robotics

    Rajaram, N. S.

    1982-01-01

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

  10. Semantic computing and language knowledge bases

    Wang, Lei; Wang, Houfeng; Yu, Shiwen

    2017-09-01

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

  11. Knowledge-based computer security advisor

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

    1991-01-01

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

  12. Knowledge Governance in Project-Based Organizations

    Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf

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

  13. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    G. Waeyenbergh; L. Pintelon; L. Gelders

    2012-01-01

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

  14. Collaboration in Global Software Engineering Based on Process Description Integration

    Klein, Harald; Rausch, Andreas; Fischer, Edward

    Globalization is one of the big trends in software development. Development projects need a variety of different resources with appropriate expert knowledge to be successful. More and more of these resources are nowadays obtained from specialized organizations and countries all over the world, varying in development approaches, processes, and culture. As seen with early outsourcing attempts, collaboration may fail due to these differences. Hence, the major challenge in global software engineering is to streamline collaborating organizations towards a successful conjoint development. Based on typical collaboration scenarios, this paper presents a structured approach to integrate processes in a comprehensible way.

  15. The HEP Software and Computing Knowledge Base

    Wenaus, T.

    2017-10-01

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

  16. Knowledge base technology: a developer view

    G. Ginkul

    1996-09-01

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

  17. Social Justice and Lower Attainers in a Global Knowledge Economy

    Sally Tomlinson

    2013-11-01

    Full Text Available National governments believe that higher levels of educational attainments and training are necessary for successful competition in knowledge-driven economies and all young people are urged to invest in their own human capital and learn new skills. Moves towards inclusive education have brought into mainstream schools and colleges many who would formerly have been segregated in special schooling or otherwise given minimum education, joining those simply regarded as lower attainers. More research is needed on what is happening to all these young people who do not do well in competitive education systems and uncertain job markets. This article is taken from a study which set out to discuss with school and college principals, local administrators, teachers and others, who they regard as lower attainers, what sort of education and training programmes are offered to the students, and what policies they think are in place to help young people into work or independent living. Discussions were held with respondents in England, Germany, the USA, Finland and Malta. The article takes Rawls' view that social injustice is mainly due to the inequitable distribution of economic and social resources and the State has a responsibility to ensure that all young people can participate in the economy and the society.

  18. Modeling Guru: Knowledge Base for NASA Modelers

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

    2009-05-01

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

  19. Knowledge-based geometric modeling in construction

    Bonev, Martin; Hvam, Lars

    2012-01-01

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

  20. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  1. Knowledge-based Fragment Binding Prediction

    Tang, Grace W.; Altman, Russ B.

    2014-01-01

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

  2. The Role of Information Professionals in Reducing the Effects of Global Warming through Knowledge Management

    Lect. Ph. D. Priti Jain

    2009-05-01

    Full Text Available As a result of global environmental change, global warming is the greatest environmental challenge in the 21st century. It could lead to the ultimate end of existence of earth and man. Potential catastrophic effects on the environment and for human life are one of the biggest concerns and most widely discussed issues in the world. This paper will explore how Information Professionals can build knowledge management related to global warming and thus make their contribution towards a sustainable environment. With a brief discussion of causes, effects, solutions and challenges related to global warming, the conclusion suggests a way forward for librarians and information professionals.

  3. An Algebraic Approach to Knowledge Bases Informational Equivalence

    Plotkin, B.; Plotkin, T.

    2003-01-01

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

  4. Measuring globalization-based acculturation in Ladakh

    Ozer, Simon; Schwartz, Seth

    2016-01-01

    Theories and methodologies within acculturation psychology have been advanced in orderto capture the complex process of intercultural contact in various contexts. Differentiatingglobalization-based acculturation from immigrant-based acculturation has broadened thefield of acculturation psychology...... to include groups who are exposed to global culturalstreams without international migration. The globalization-based acculturation process inthe North Indian region of Ladakh appears to be a tricultural encounter, suggesting anaddendum to the bidimensional acculturation model for this group (and perhaps...... for othersas well). This study explores the development, usability, and validity of a tridimensionalacculturation measure aiming to capture the multicultural orientations initiated by theprocess of globalization in Ladakh. The tridimensional acculturation scale was found to fitthe data significantly better...

  5. A Multilevel Congestion-Based Global Router

    Logan Rakai

    2009-01-01

    Full Text Available Routing in nanometer nodes creates an elevated level of importance for low-congestion routing. At the same time, advances in mathematical programming have increased the power to solve complex problems, such as the routing problem. Hence, new routing methods need to be developed that can combine advanced mathematical programming and modeling techniques to provide low-congestion solutions. In this paper, a hierarchical mathematical programming-based global routing technique that considers congestion is proposed. The main contributions presented in this paper include (i implementation of congestion estimation based on actual routing solutions versus purely probabilistic techniques, (ii development of a congestion-based hierarchy for solving the global routing problem, and (iii generation of a robust framework for solving the routing problem using mathematical programming techniques. Experimental results illustrate that the proposed global router is capable of reducing congestion and overflow by as much as 36% compared to the state-of-the-art mathematical programming models.

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

    Tian Luo

    2017-09-01

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

  7. From Kisiizi to Baltimore: cultivating knowledge brokers to support global innovation for community engagement in healthcare.

    Ibe, Chidinma A; Basu, Lopa; Gooden, Rachel; Syed, Shamsuzzoha B; Dadwal, Viva; Bone, Lee R; Ephraim, Patti L; Weston, Christine M; Wu, Albert W

    2018-02-09

    Reverse Innovation has been endorsed as a vehicle for promoting bidirectional learning and information flow between low- and middle-income countries and high-income countries, with the aim of tackling common unmet needs. One such need, which traverses international boundaries, is the development of strategies to initiate and sustain community engagement in health care delivery systems. In this commentary, we discuss the Baltimore "Community-based Organizations Neighborhood Network: Enhancing Capacity Together" Study. This randomized controlled trial evaluated whether or not a community engagement strategy, developed to address patient safety in low- and middle-income countries throughout sub-Saharan Africa, could be successfully applied to create and implement strategies that would link community-based organizations to a local health care system in Baltimore, a city in the United States. Specifically, we explore the trial's activation of community knowledge brokers as the conduit through which community engagement, and innovation production, was achieved. Cultivating community knowledge brokers holds promise as a vehicle for advancing global innovation in the context of health care delivery systems. As such, further efforts to discern the ways in which they may promote the development and dissemination of innovations in health care systems is warranted. Trial Registration Number: NCT02222909 . Trial Register Name: Reverse Innovation and Patient Engagement to Improve Quality of Care and Patient Outcomes (CONNECT). Date of Trial's Registration: August 22, 2014.

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

    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.

  9. Irrelevance Reasoning in Knowledge Based Systems

    Levy, A. Y.

    1993-01-01

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

  10. Gestalteconomy: The economic bases of knowledge management

    Maisseu, A.

    2006-01-01

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

  11. VICKEY: Mining Conditional Keys on Knowledge Bases

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

    2017-01-01

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

  12. A STEPPING STONE TOWARDS KNOWLEDGE BASED MAINTENANCE

    G. Waeyenbergh

    2012-01-01

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

  13. Knowledge-based public health situation awareness

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

    2004-09-01

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

  14. The role of innovative global institutions in linking knowledge and action.

    van Kerkhoff, Lorrae; Szlezák, Nicole A

    2016-04-26

    It is becoming increasingly recognized that our collective ability to tackle complex problems will require the development of new, adaptive, and innovative institutional arrangements that can deal with rapidly changing knowledge and have effective learning capabilities. In this paper, we applied a knowledge-systems perspective to examine how institutional innovations can affect the generation, sharing, and application of scientific and technical knowledge. We report on a case study that examined the effects that one large innovative organization, The Global Fund to Fight AIDS, Tuberculosis, and Malaria, is having on the knowledge dimensions of decision-making in global health. The case study shows that the organization created demand for new knowledge from a range of actors, but it did not incorporate strategies for meeting this demand into their own rules, incentives, or procedures. This made it difficult for some applicants to meet the organization's dual aims of scientific soundness and national ownership of projects. It also highlighted that scientific knowledge needed to be integrated with managerial and situational knowledge for success. More generally, the study illustrates that institutional change targeting implementation can also significantly affect the dynamics of knowledge creation (learning), access, distribution, and use. Recognizing how action-oriented institutions can affect these dynamics across their knowledge system can help institutional designers build more efficient and effective institutions for sustainable development.

  15. The Development of the IMIA Knowledge Base

    Graham Wright

    2011-03-01

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

  16. Adaptive Knowledge Management of Project-Based Learning

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

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

  17. A display to support knowledge based behavior

    Lindsay, R.W.

    1990-01-01

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

  18. A display to support knowledge based behavior

    Lindsay, R.W.

    1990-01-01

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

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

    Hossain, M. D.; Sultana, T.

    2016-01-01

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

  20. Governing Global Health : Knowledge and power in the global tobacco epidemic

    Kenny, Katherine Elizabeth

    2015-01-01

    This dissertation examines the coproduction of epistemic and regulatory authority in the field of global health using the case of international tobacco control. In 2005, the world's first public health treaty -- the Framework Convention on Tobacco Control (FCTC) -- was brought into force by the World Health Organization (WHO). Unanimously adopted by the World Health Assembly in 2003, the FCTC has since become one of the most widely and rapidly adopted treaties in the history of the United Nat...

  1. Exploratory study of the role of knowledge brokers in translating knowledge to action following global maternal and newborn health technical meetings.

    Norton, T C; Howell, C; Reynolds, C

    2016-11-01

    There have been increasing calls for more research on interventions to successfully translate evidence-based knowledge into improved health policy and practices. This paper reports on an exploratory study of knowledge translation interventions conducted with participants of global health meetings held in Bangladesh in 2012 and in South Africa in 2013. We measured stakeholders' uptake of evidence-based knowledge in terms of their translation of this knowledge into actions around public health policy and practice. The research sought to determine whether participants shared and used knowledge from the meetings to improve health policy and practices in their settings and the factors influencing sharing and use. An exploratory study employed quantitative and qualitative methods of online surveys and in-depth interviews to collect data from all meeting participants. All participants in the Bangladesh and South Africa meetings were invited to complete an online survey during the meetings and over the following six weeks. Of 411 participants in the 2012 Bangladesh meeting, 148 participants from 22 countries completed the survey. Eleven of these respondents (from eight countries) were interviewed. Of the 436 participants in the 2013 South Africa meeting, 126 respondents from 33 countries completed an online survey; none of these respondents were interviewed. The analysis revealed that most respondents used new knowledge to advocate for policy change (2012: 65.5%; 2013: 67.5%) or improve service quality (2012: 60.1%; 2013: 70.6%). The type of knowledge that respondents most commonly shared was clinical or scientific information (2012: 79.1%; 2013: 66.7%) and country-specific information (2012: 73.0%; 2013: 71.4%). Most 2012 respondents shared knowledge because they thought it would be useful to a co-worker or colleague (79.7%). Findings on knowledge use and sharing suggest that most respondents saw themselves as knowledge brokers or intermediaries in a position to influence

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

    Rotarius, Timothy

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

  3. The Development of the IMIA Knowledge Base

    Graham Wright

    2011-10-01

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

  4. New global ICT-based business models

    The New Global Business model (NEWGIBM) book describes the background, theory references, case studies, results and learning imparted by the NEWGIBM project, which is supported by ICT, to a research group during the period from 2005-2011. The book is a result of the efforts and the collaborative ...... The NEWGIBM Cases Show? The Strategy Concept in Light of the Increased Importance of Innovative Business Models Successful Implementation of Global BM Innovation Globalisation Of ICT Based Business Models: Today And In 2020......The New Global Business model (NEWGIBM) book describes the background, theory references, case studies, results and learning imparted by the NEWGIBM project, which is supported by ICT, to a research group during the period from 2005-2011. The book is a result of the efforts and the collaborative....... The NEWGIBM book serves as a part of the final evaluation and documentation of the NEWGIBM project and is supported by results from the following projects: M-commerce, Global Innovation, Global Ebusiness & M-commerce, The Blue Ocean project, International Center for Innovation and Women in Business, NEFFICS...

  5. DeepDive: Declarative Knowledge Base Construction.

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

    2016-03-01

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

  6. NASDA knowledge-based network planning system

    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.

  7. Knowledge-Based Environmental Context Modeling

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

    2017-12-01

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

  8. Knowledge base rule partitioning design for CLIPS

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

    1990-01-01

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

  9. Higher Education and International Student Mobility in the Global Knowledge Economy: Revised and Updated Second Edition

    Guruz, Kemal

    2011-01-01

    Students and scholars leaving their homes in search of education and knowledge is not a new phenomenon. An indispensable resource for understanding the international mobility of students, this book reveals how the global mobility of such students, scholars, programs, and institutions of higher education have evolved over time. Kemal Guruz explores…

  10. Internationalization Strategies for the Global Knowledge Society. CBIE PhD Research Series

    Szyszlo, Peter

    2016-01-01

    The purpose of this article is to improve understanding of internationalization as a strategic response to the catalysts of globalization and the knowledge society. The paper will attempt to critically identify and interpret how the aforementioned elements are being recontextualized and translated into responsive internationalization policies and…

  11. A systematic review of knowledge sharing challenges and practices in global software development

    Zahedi, Mansooreh; Shahin, Mojtaba; Babar, Muhammad Ali

    2016-01-01

    the data extracted from the reviewed primary studies. Results: Our findings revealed that knowledge sharing challenges and practices in GSD could be classi- fied in 6 main themes: management, team structure, work processes/practices, team cognition, social attributes and technology. In regard to contextual......Context: Global Software Development (GSD) presents significant challenges to share and understand knowledge required for developing software. Organizations are expected to implement appropriate practices to address knowledge-sharing challenges in GSD. With the growing literature on GSD and its...... and practices fall under the theme of “work practices”. (c) The technology related knowledge-sharing challenges are the least reported; we discussed the available technologies for sup- porting knowledge sharing needs in GSD. (d) The organizational contextual information is missing from a large number of studies...

  12. Global Seismic Imaging Based on Adjoint Tomography

    Bozdag, E.; Lefebvre, M.; Lei, W.; Peter, D. B.; Smith, J. A.; Zhu, H.; Komatitsch, D.; Tromp, J.

    2013-12-01

    Our aim is to perform adjoint tomography at the scale of globe to image the entire planet. We have started elastic inversions with a global data set of 253 CMT earthquakes with moment magnitudes in the range 5.8 ≤ Mw ≤ 7 and used GSN stations as well as some local networks such as USArray, European stations, etc. Using an iterative pre-conditioned conjugate gradient scheme, we initially set the aim to obtain a global crustal and mantle model with confined transverse isotropy in the upper mantle. Global adjoint tomography has so far remained a challenge mainly due to computational limitations. Recent improvements in our 3D solvers (e.g., a GPU version) and access to high-performance computational centers (e.g., ORNL's Cray XK7 "Titan" system) now enable us to perform iterations with higher-resolution (T > 9 s) and longer-duration (200 min) simulations to accommodate high-frequency body waves and major-arc surface waves, respectively, which help improve data coverage. The remaining challenge is the heavy I/O traffic caused by the numerous files generated during the forward/adjoint simulations and the pre- and post-processing stages of our workflow. We improve the global adjoint tomography workflow by adopting the ADIOS file format for our seismic data as well as models, kernels, etc., to improve efficiency on high-performance clusters. Our ultimate aim is to use data from all available networks and earthquakes within the magnitude range of our interest (5.5 ≤ Mw ≤ 7) which requires a solid framework to manage big data in our global adjoint tomography workflow. We discuss the current status and future of global adjoint tomography based on our initial results as well as practical issues such as handling big data in inversions and on high-performance computing systems.

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

    1989-08-01

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

  14. Knowledge-based development in Singapore and Malaysia

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

    2009-01-01

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

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

    Izygon, Michel E.

    1992-01-01

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

  16. Automated knowledge base development from CAD/CAE databases

    Wright, R. Glenn; Blanchard, Mary

    1988-01-01

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

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

    Kai Zhang

    2016-06-01

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

  18. From conventional software based systems to knowledge based systems

    Bologna, S.

    1995-01-01

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

  19. Enhancing SAT Based Planning with Landmark Knowledge

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

    2013-01-01

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

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

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

    2014-01-01

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

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

    Rice, Amber H.; Kitchel, Tracy

    2015-01-01

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

  2. Cognitive diagnostic assessment based on knowledge structure

    Huang Sue-Fen

    2018-01-01

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

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

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

    2016-12-01

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

  4. IGENPRO knowledge-based operator support system

    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

  5. The use of engineering design scenarios to assess student knowledge of global, societal, economic, and environmental contexts

    McKenna, Ann F.; Hynes, Morgan M.; Johnson, Amy M.; Carberry, Adam R.

    2016-07-01

    Product archaeology as an educational approach asks engineering students to consider and explore the broader societal and global impacts of a product's manufacturing, distribution, use, and disposal on people, economics, and the environment. This study examined the impact of product archaeology in a project-based engineering design course on student attitudes and perceptions about engineering and abilities to extend and refine knowledge about broader contexts. Two design scenarios were created: one related to dental hygiene and one related to vaccination delivery. Design scenarios were used to (1) assess knowledge of broader contexts, and (2) test variability of student responses across different contextual situations. Results from pre- to post-surveying revealed improved student perceptions of knowledge of broader contexts. Significant differences were observed between the two design scenarios. The findings support the assumption that different design scenarios elicit consideration of different contexts and design scenarios can be constructed to target specific contextual considerations.

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

    Pulaski, Kirt; Casadaban, Cyprian

    1988-01-01

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

  7. Image-based querying of urban knowledge databases

    Cho, Peter; Bae, Soonmin; Durand, Fredo

    2009-05-01

    We extend recent automated computer vision algorithms to reconstruct the global three-dimensional structures for photos and videos shot at fixed points in outdoor city environments. Mosaics of digital stills and embedded videos are georegistered by matching a few of their 2D features with 3D counterparts in aerial ladar imagery. Once image planes are aligned with world maps, abstract urban knowledge can propagate from the latter into the former. We project geotagged annotations from a 3D map into a 2D video stream and demonstrate their tracking buildings and streets in a clip with significant panning motion. We also present an interactive tool which enables users to select city features of interest in video frames and retrieve their geocoordinates and ranges. Implications of this work for future augmented reality systems based upon mobile smart phones are discussed.

  8. Local Knowledge and Adult Learning in Environmental Adult Education: Community-Based Ecotourism in Southern Thailand

    Walter, Pierre

    2009-01-01

    This paper examines how local knowledge is employed in environmental adult education in a community-based ecotourism project in an island community in southern Thailand. The study is based on field research and analysis of project websites, media reports and documents. Situated at the intersection of global tourism and a local Thai-Malay Muslim…

  9. An approach to enrich online medical Problem-Based Learning with tacit healthcare knowledge.

    Cheah, Yu-N; Rashid, Faridah Abdul; Abidi, Syed Sibte Raza

    2003-01-01

    Existing Problem-Based Learning (PBL) problems, though suitable in their own right for teaching purposes, are limited in their potential to evolve by themselves and to create new knowledge. Presently, they are based on textbook examples of past cases and/or cases that have been transcribed by a clinician. In this paper, we present (a) a tacit healthcare knowledge representation formalism called Healthcare Scenarios, (b) the relevance of healthcare scenarios in PBL in healthcare and medicine, (c) a novel PBL-Scenario-based tacit knowledge explication strategy and (d) an online PBL Problem Composer and Presenter (PBL-Online) to facilitate the acquisition and utilisation of expert-quality tacit healthcare knowledge to enrich online PBL. We employ a confluence of healthcare knowledge management tools and Internet technologies to bring tacit healthcare knowledge-enriched PBL to a global and yet more accessible level.

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

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

  11. Semantics-enabled knowledge management for global Earth observation system of systems

    King, Roger L.; Durbha, Surya S.; Younan, Nicolas H.

    2007-10-01

    The Global Earth Observation System of Systems (GEOSS) is a distributed system of systems built on current international cooperation efforts among existing Earth observing and processing systems. The goal is to formulate an end-to-end process that enables the collection and distribution of accurate, reliable Earth Observation data, information, products, and services to both suppliers and consumers worldwide. One of the critical components in the development of such systems is the ability to obtain seamless access of data across geopolitical boundaries. In order to gain support and willingness to participate by countries around the world in such an endeavor, it is necessary to devise mechanisms whereby the data and the intellectual capital is protected through procedures that implement the policies specific to a country. Earth Observations (EO) are obtained from a multitude of sources and requires coordination among different agencies and user groups to come to a shared understanding on a set of concepts involved in a domain. It is envisaged that the data and information in a GEOSS context will be unprecedented and the current data archiving and delivery methods need to be transformed into one that allows realization of seamless interoperability. Thus, EO data integration is dependent on the resolution of conflicts arising from a variety of areas. Modularization is inevitable in distributed environments to facilitate flexible and efficient reuse of existing ontologies. Therefore, we propose a framework for modular ontologies based knowledge management approach for GEOSS and present methods to enable efficient reasoning in such systems.

  12. Base-of-the-pyramid global strategy

    Boşcor, D.

    2010-12-01

    Full Text Available Global strategies for MNCs should focus on customers in emerging and developing markets instead of customers in developed economies. The “base-of-the-pyramid segment” comprises 4 billion people in the world. In order to be successful, companies will be required to form unconventional partnerships- with entities ranging from local governments to non-profit organizations - to gain the community’s trust and understand the environmental, infrastructure and political issues that may affect business. Being able to provide affordable, high-quality products and services in this market segment often means new approaches to marketing- new packaging and pricing structures, and using unfamiliar distribution structures.

  13. Breaking Boundaries: Quality E-Learning for the Global Knowledge Society

    Lalilta Rajasingham

    2009-03-01

    Full Text Available The ideas and issues raised in this paper reflect a global challenge to understand the nature of E-learning in a knowledge society so that appropriate quality frameworks can be developed for new educational environments. E-learning and virtual classes evolved from distance education and struggle to gain recognition in mainstream education as legitimate quality higher education providers. The increasing use of information technology advances, particularly the internet present new educational paradigms and models that challenge conventional assumptions and indicators of quality assurance. What is needed is the development of global standards and quality assurance frameworks that can improve pedagogy in diverse cultural, knowledge and delivery paradigms. This paper seeks to explore how quality is defined, who sets whose standards, who will teach what to whom with what effect in a world of competing paradigms and parallel worlds of reality and virtual reality.

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

    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

  15. Force, fraud, and coercion : Bridging from knowledge of intercountry adoption to global surrogacy

    Smith Rotabi, K.

    2014-01-01

    This report discusses concerns raised by participants of Thematic Area 4 (Force, Fraud and Coercion) of the International Forum on Intercountry Adoption and Global Surrogacy held in August 2014. There has been a significant body of research on intercountry adoption practices over the past 30 years; force, fraud, and coercion have been identified in a small but important component of the literature. However, this knowledge in intercountry adoption has not yet truly bridged into research in glo...

  16. Force, fraud, and coercion : Bridging from knowledge of intercountry adoption to global surrogacy

    Smith Rotabi, Karen; Cheney, Kristen

    2014-01-01

    textabstractThis report discusses concerns raised by participants of Thematic Area 4 (Force, Fraud and Coercion) of the International Forum on Intercountry Adoption and Global Surrogacy held in August 2014. There has been a significant body of research on intercountry adoption practices over the past 30 years; force, fraud, and coercion have been identified in a small but important component of the literature. However, this knowledge in intercountry adoption has not yet truly bridged into res...

  17. The changing global knowledge landscape - The need for a transatlantic vision and a new pragmatism

    Lundvall, Bengt-Åke

    2011-01-01

    It is shown that Bric- countries and especially China has increased their contribution to the global knowledge production dramatically over the last decades while the R&D-effort in Europe and the US has stagnated. On this background different strategies are discussed and it is argued that the bot...... Europe and the US can learn from the pragmatism and willingness to engage in policy learning in China....

  18. The implementation of a global fund grant in Lesotho: applying a framework on knowledge absorptive capacity.

    Biesma, Regien; Makoa, Elsie; Mpemi, Regina; Tsekoa, Lineo; Odonkor, Philip; Brugha, Ruairi

    2012-02-01

    One of the biggest challenges in scaling up health interventions in sub-Saharan Africa for government recipients is to effectively manage the rapid influx of aid from different donors, each with its own requirements and conditions. However, there is little empirical evidence on how governments absorb knowledge from new donors in order to satisfy their requirements. This case study applies Cuellar and Gallivan's (2006) framework on knowledge absorptive capacity (AC) to illustrate how recipient government organisations in Lesotho identified, assimilated and utilised knowledge on how to meet the disbursement and reporting requirements of Lesotho's Round 5 grant from the Global Fund to Fight AIDS, TB and Malaria (Global Fund). In-depth topic guided interviews with 22 respondents and document reviews were conducted between July 2008 and February 2009. Analysis focused on six organisational determinants that affect an organisation's absorptive capacity: prior-related knowledge, combinative capabilities, motivation, organisational structure, cultural match, and communication channels. Absorptive capacity was mostly evident at the level of the Principal Recipient, the Ministry of Finance, who established a new organisational unit to meet the requirements of Global Fund Grants, while the level of AC was less advanced among the Ministry of Health (Sub-Recipient) and district level implementers. Recipient organisations can increase their absorptive capacity, not only through prior knowledge of donor requirements, but also by deliberately changing their organisational form and through combinative capabilities. The study also revealed how vulnerable African governments are to loss of staff capacity. The application of organisational theory to analyse the interactions of donor agencies with public and non-public country stakeholders illustrates the complexity of the environment that aid recipient governments have to manage. Copyright © 2011 Elsevier Ltd. All rights reserved.

  19. APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE

    Yao Jianchu; Zhou Ji; Yu Jun

    2003-01-01

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

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

    S. Barai

    2004-08-01

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

  1. D and D knowledge management information tool - a web based system developed to share D and D knowledge worldwide

    Lagos, L.; Upadhyay, H.; Shoffner, P. [Applied Research Center, Florida International University, 10555 W. Flagler Street,EC2100, Miami, FL (United States)

    2013-07-01

    to their problem areas by using the vast resources and knowledge base available throughout the global D and D community. The D and D KM-IT offers a mechanism to the global D and D community for searching relevant D and D information and is focused on providing a single point of access into the collective knowledge base of the D and D community within and outside of the DOE. Collecting information from subject matter specialists, it builds a knowledge repository for future reference archiving Lessons Learned, Best Practices, ALARA reports, and other relevant documents and maintains a secured collaboration platform for the global D and D community to share knowledge. With the dynamic nature and evolution of the D and D knowledge base due to multiple factors such as changes in the workforce, new technologies and methodologies, economics, and regulations, the D and D KM-IT is being developed in a phased and modular fashion. (authors)

  2. D and D knowledge management information tool - a web based system developed to share D and D knowledge worldwide

    Lagos, L.; Upadhyay, H.; Shoffner, P.

    2013-01-01

    to their problem areas by using the vast resources and knowledge base available throughout the global D and D community. The D and D KM-IT offers a mechanism to the global D and D community for searching relevant D and D information and is focused on providing a single point of access into the collective knowledge base of the D and D community within and outside of the DOE. Collecting information from subject matter specialists, it builds a knowledge repository for future reference archiving Lessons Learned, Best Practices, ALARA reports, and other relevant documents and maintains a secured collaboration platform for the global D and D community to share knowledge. With the dynamic nature and evolution of the D and D knowledge base due to multiple factors such as changes in the workforce, new technologies and methodologies, economics, and regulations, the D and D KM-IT is being developed in a phased and modular fashion. (authors)

  3. The task of the HIV translator: transforming global AIDS knowledge in an awareness workshop.

    Wardlow, Holly

    2012-01-01

    The globalization of standardized knowledge about HIV and AIDS depends in part on local AIDS awareness educators who receive training from national and international organizations and then, ideally, disseminate what they have learned. In this article I analyze textual and observational data from a five-day introductory AIDS awareness workshop in rural Papua New Guinea. Although the instructor adhered to the handbook provided by the National AIDS Council for much of the information, she departed from it significantly when informing participants about the "root causes" of HIV's spread and in giving them advice about prevention. I explicate where her extratextual knowledge came from as well as its overall message to target audiences. I suggest that textual silences in AIDS awareness handbooks can motivate local HIV translators to embark on a kind of semiosis-the ongoing production of new, hybrid knowledge about HIV.

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

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

  5. Towards Knowledge-Based Digital Libraries

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

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

  6. Knowledge Governance Strategies in Project-based Organizations

    Pemsel, Sofia; Müller, Ralf; Söderlund, Jonas

    2016-01-01

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

  7. Knowledge Banking in Global Education Policy: A Bibliometric Analysis of World Bank Publications on Public-Private Partnerships

    Menashy, Francine; Read, Robyn

    2016-01-01

    As a leading mobilizer of international development and educational knowledge, the World Bank has been critiqued in two key areas: (1) the dominance of economic thinking in its policies, and (2) its Northern-generated knowledge which informs its work in the Global South. In this paper, we investigate the disciplinary foundation of Bank knowledge,…

  8. Representability in DL-Lite_R knowledge base exchange

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

    2012-01-01

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

  9. On developing a knowledge base in infancy.

    Mandler, J M; McDonough, L

    1998-11-01

    The development of conceptual categories from 7 to 11 months of age was explored in 5 experiments using an object-examination task. Infants in this age range categorized the global domains of animals, vehicles, and furniture. Plants and kitchen utensils were tested at 11 months, and these domains were also categorized. When 9-month-olds were tested on kitchen utensils, they did not categorize them. Subdivisions within the animal and furniture domains were also examined. Infants did not show any subcategorization of furniture. In the animal domain both 9- and 11-month-olds responded to the life-form distinction between dogs and birds, but they did not differentiate the mammal categories of dogs and cats until 11 months. This early organization of the conceptual system into global domains that become increasingly differentiated is discussed in relation to the adult conceptual system and its breakdown in semantic dementia.

  10. In defense of types in knowledge-based CAAD

    Galle, Per

    1997-01-01

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

  11. Building and Using Large Common Sense Knowledge Bases

    Forbus, Kenneth D

    2001-01-01

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

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

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

    2013-01-01

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

  13. Managing Knowledge-Based Resource Capabilities Under Uncertainty

    Janice E. Carrillo; Cheryl Gaimon

    2004-01-01

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

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

    Ameneh Khadivar

    2017-03-01

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

  15. The many secure knowledge bases of psychotherapy.

    Bergner, Raymond M

    2006-01-01

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

  16. Knowledge-based methods for control systems

    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)

  17. A satellite-based global landslide model

    A. Farahmand

    2013-05-01

    Full Text Available Landslides are devastating phenomena that cause huge damage around the world. This paper presents a quasi-global landslide model derived using satellite precipitation data, land-use land cover maps, and 250 m topography information. This suggested landslide model is based on the Support Vector Machines (SVM, a machine learning algorithm. The National Aeronautics and Space Administration (NASA Goddard Space Flight Center (GSFC landslide inventory data is used as observations and reference data. In all, 70% of the data are used for model development and training, whereas 30% are used for validation and verification. The results of 100 random subsamples of available landslide observations revealed that the suggested landslide model can predict historical landslides reliably. The average error of 100 iterations of landslide prediction is estimated to be approximately 7%, while approximately 2% false landslide events are observed.

  18. Born Global from the Resource-Based Theory: A Case Study in Colombia

    Alexander Tabares

    2015-07-01

    Full Text Available This paper describes how a born global firm goes into international market from inception at its early years. The objective of this paper is to analyze from the resource-based theory how a born global firm engages in international market. This empirical investigation has been carried out as an explorative single-case study, a high-tech firm, Digital Partner, based in Medellin, Antioquia. The main findings of the research show that organizational capabilities based on intellectual capital are crucial for the development of a born global. Thus, capabilities such as entrepreneurship, global vision, internationally market knowledge, learning management, IT capabilities, technological innovation, collaborative work, networks and customer orientation are recurrent and they correspond to other similar research results. Contributions of the study are both academic (for the advance of the research in born global field and practical (for the design of governmental policies to foster born global firms.

  19. Power in global health agenda-setting: the role of private funding Comment on "Knowledge, moral claims and the exercise of power in global health".

    Levine, Ruth E

    2015-03-04

    The editorial by Jeremy Shiffman, "Knowledge, moral claims and the exercise of power in global health", highlights the influence on global health priority-setting of individuals and organizations that do not have a formal political mandate. This sheds light on the way key functions in global health depend on private funding, particularly from the Bill & Melinda Gates Foundation. © 2015 by Kerman University of Medical Sciences.

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

    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.

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

    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.

  2. Bioethics of Universal Knowledge: How Space Science is Transforming Global Culture

    Perkins, Kala

    A new universal culture is championing the human race; never before has immersion in the cosmological environment been so clearly presented nor invited as revolutionary a sense of participatory identity to the human race. We are delving into the awareness of a complex relatedness with the expanse of spatial architectures and life that astrophysics and cosmology are revealing. History is marked by waves of interest and inquiry into the possibilities of the existence of other worlds. Since the Renaissance, building of telescopes has been pursued in their quest; now Kepler and other space missions are leading us into direct apprehension of these worlds, scattered across the cosmological landscape. This affords a unique repertoire of dimensionalities in which to re-construe our global cultural evolution and identity. Spatial education, with related social science and humanities, are facilitating the actualization of a universal culture, redefining the collective global heritage, with infinity as our home. The potential significance of space sciences to the human cognitive environment is yet to be fully ascertained. We now understand that the entire history of the universe informs each and every particle and spin of the fabric of existence. The implications of this knowledge have the power to facilitate our overcoming many social diseases such as racism, nationalism and the ideological delusions that tolerate such activities as warfare. Space sciences may help to purge the human cognitive atmosphere of those ills and ignorance that sap global resources, challenging global sustainability, from the economic to the psychosocial. Were the full implications of our united origins and destiny as a cosmic organism to be applied to how we live as a species on the Earth, there would be adequate funds for all manner of science and education such as to transform the global human and ecological landscape in ways as yet only dreamt or fictionalized. The bioethics of universal

  3. Powerful Concepts in Global Health Comment on “Knowledge, Moral Claims and the Exercise of Power in Global Health”

    Eivind Engebretsen

    2015-02-01

    Full Text Available In this paper we emphasize the importance of questioning the global validity of significant concepts underpinning global health policy. This implies questioning the concept of global health as such and accepting that there is no global definition of the global. Further, we draw attention to ‘quality’ and ‘empowerment’ as examples of world-forming concepts. These concepts are exemplary for the gentle and quiet forms of power that underpin our reasoning within global health.

  4. Knowledge-Basing Teaching Professions and Professional Practice

    Thingstrup, Signe Hvid

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

  5. Knowledge-Based Approaches: Two cases of applicability

    Andersen, Tom

    1997-01-01

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

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

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

    2018-01-03

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

  7. Transition to knowledge-based economy in Saudi Arabia

    Nour, S.

    2014-01-01

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

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

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

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

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

  10. Nuclear reactions video (knowledge base on low energy nuclear physics)

    Zagrebaev, V.; Kozhin, A.

    1999-01-01

    The NRV (nuclear reactions video) is an open and permanently extended global system of management and graphical representation of nuclear data and video-graphic computer simulation of low energy nuclear dynamics. It consists of a complete and renewed nuclear database and well known theoretical models of low energy nuclear reactions altogether forming the 'low energy nuclear knowledge base'. The NRV solves two main problems: 1) fast and visualized obtaining and processing experimental data on nuclear structure and nuclear reactions; 2) possibility for any inexperienced user to analyze experimental data within reliable commonly used models of nuclear dynamics. The system is based on the realization of the following principal things: the net and code compatibility with the main existing nuclear databases; maximal simplicity in handling: extended menu, friendly graphical interface, hypertext description of the models, and so on; maximal visualization of input data, dynamics of studied processes and final results by means of real three-dimensional images, plots, tables and formulas and a three-dimensional animation. All the codes are composed as the real Windows applications and work under Windows 95/NT

  11. Globalization

    F. Gerard Adams

    2008-01-01

    The rapid globalization of the world economy is causing fundamental changes in patterns of trade and finance. Some economists have argued that globalization has arrived and that the world is “flat†. While the geographic scope of markets has increased, the author argues that new patterns of trade and finance are a result of the discrepancies between “old†countries and “new†. As the differences are gradually wiped out, particularly if knowledge and technology spread worldwide, the t...

  12. The global coastal hazards data base

    Gornitz, V.; White, T.W.

    1989-01-01

    A rise of sea level between 0.5 and 1.5 m, caused by predicted climate warming in the next century, could jeopardize low-lying radioactive waste disposal sites near the coast, due to permanent and episodic inundation, increased shoreline retreat, and changes in the water table. The effects of global sea level rise on the shoreline will not be spatially uniform. Therefore, site selection will depend on assessment of these differential vulnerabilities, in order to avoid high-risk coasts. The coastal hazards data base described here could provide an appropriate framework. The coastal hazards data base integrates relevant topographic, geologic, geomorphologic, erosional and subsidence information in a Geographic Information System (GIS), to identify high-risk shorelines characterized by low coastal relief, an erodible substrate, present and past evidence of subsidence, extensive shoreline retreat, and high wave/tide energies. Data for seven variables relating to inundation and erosion hazards are incorporated into the ORNL ARC/INFO Geographic Information System (GIS). Data compilation has been completed for the US and is being extended to North America, and ultimately the world. A coastal vulnerability index (CVI) has been designed to flag high risk coastal segments. 17 refs., 2 figs., 2 tabs

  13. Human Capital and Knowledge Emergence. Induced Effects of the Global Crisis on Human capital and Innovation

    Simona Buta

    2014-12-01

    Full Text Available In the global crisis context crossed by organizations and countries in the past six years we assist also at conflicting measures in which regards knowledge, innovation and human capital; for example, countries such as England and France have reduced their costs for education, while Germany and other countries (Australia, Austria, Canada and Norway maintained the same allocations for education. What will be the effects of such measures on human capital in the near future? What are the best human resources policies in companies in the crisis context? Given that the subject of the research is "knowledge and human capital", in this paper we refer to the induced effects of the crisis on human capital and innovation. We will also identify the key steps that can be taken during crisis, and not only, to stimulate human capital.

  14. Knowledge Management in Role Based Agents

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

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

  15. A global change data base using Thematic Mapper data - Earth Monitoring Educational System (EMES)

    D'Antoni, Hector L.; Peterson, David L.

    1992-01-01

    Some of the main directions in creating an education program in earth system science aimed at combining top science and technology with high academic performance are presented. The creation of an Earth Monitoring Educational System (EMES) integrated with the research interests of the NASA Ames Research Center and one or more universities is proposed. Based on the integration of a global network of cooperators to build a global data base for assessments of global change, EMES would promote degrees at all levels in global ecology at associated universities and colleges, and extracurricular courses for multilevel audiences. EMES objectives are to: train specialists; establish a tradition of solving regional problems concerning global change in a systemic manner, using remote sensing technology as the monitoring tool; and transfer knowledge on global change to the national and world communities. South America is proposed as the pilot continent for the project.

  16. Emerging Trends in the Globalization of Knowledge: The Role of the Technical Report in Aerospace Research and Development

    Pinelli, Thomas

    1997-01-01

    ...) and its use and importance to aerospace engineers and scientists. The emergence of knowledge as an intellectual asset, its relationship to innovation, and its importance in a global economy provides the context for the paper...

  17. Knowledge management method for knowledge based BWR Core Operation Management System

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-03-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author).

  18. Knowledge management method for knowledge based BWR Core Operation Management System

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-01-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author)

  19. Towards Modeling False Memory With Computational Knowledge Bases.

    Li, Justin; Kohanyi, Emma

    2017-01-01

    One challenge to creating realistic cognitive models of memory is the inability to account for the vast common-sense knowledge of human participants. Large computational knowledge bases such as WordNet and DBpedia may offer a solution to this problem but may pose other challenges. This paper explores some of these difficulties through a semantic network spreading activation model of the Deese-Roediger-McDermott false memory task. In three experiments, we show that these knowledge bases only capture a subset of human associations, while irrelevant information introduces noise and makes efficient modeling difficult. We conclude that the contents of these knowledge bases must be augmented and, more important, that the algorithms must be refined and optimized, before large knowledge bases can be widely used for cognitive modeling. Copyright © 2016 Cognitive Science Society, Inc.

  20. The Encyclopedia of Life v2: Providing Global Access to Knowledge About Life on Earth

    Cynthia S. Parr

    2014-04-01

    We have shown that it is possible to successfully integrate large amounts of descriptive biodiversity data from diverse sources into a robust, standards-based, dynamic, and scalable infrastructure. Increasing global participation and the emergence of EOL-powered applications demonstrate that EOL is becoming a significant resource for anyone interested in biological diversity.

  1. Students' Communication, Argumentation and Knowledge in a Citizens' Conference on Global Warming

    Albe, Virginie; Gombert, Marie-Jose

    2012-01-01

    An empirical study on 12th-grade students' engagement on a global warming debate as a citizens' conference is reported. Within the design-based research methodology, an interdisciplinary teaching sequence integrating an initiation to non-violent communication was developed. Students' debates were analyzed according to three dimensions:…

  2. Creative economy and knowledge-based society. Perspectives for Romania

    Istudor Laura Gabriela

    2017-07-01

    Full Text Available Creative economy is a rather new concept that started developing during the last decade, being currently applied to a variety of activities and professions. It has become an important sector of the global economy, being sustained and promoted by the European Union, especially in the context of an innovative and knowledge-based society. Within this new type of economy, creativity, innovation and knowledge management are essential factors that lead to a smart, sustainable and inclusive development in regard to the creation of new jobs and to the social inclusion requirements. According to John Howkins (2001, the creative industries / sectors include art, research, advertising, movies, theatre, software, with the possibility of the concept of creative economy to be extended to other non-artistic and IT related fields, where improvements are expected to arise through innovation and creativity. The Global Creativity Index (GCI and the European Innovation Scoreboard (EIS, are two benchmarking tools that measure the creativity and innovation degree of the countries in the European Union, placing Romania within the last positions, especially with respect to intellectual property rights and entrepreneurship. The research methodology consists of both qualitative and quantitative methods, while the research questions to be answered are What is the degree of innovation in Romania compared to other states? What can be done in order to increase the level of innovation in Romania? In this viewpoint, the paper analyzes the development of the creative industries / sectors in Romania, in the context of creative economy and innovation. The objective of the paper is to analyze the extent to which the concept of creative economy can be promoted and implemented in Romania, given its increasing importance at the international level, with countries such as the United Kingdom that already adopted strategies to sustain this kind of economy in the past years. In order to

  3. A PROCESS-BASED APPROACH TO KNOWLEDGE MANAGEMENT

    Kovačić, Andrej; Bosilj Vukšić, Vesna; Lončar, Anita

    2006-01-01

    This paper analyses the relationship between business process modelling, knowledge management and information systems development projects. The paper’s main objective is to present business rules as the encoded knowledge of corporate business practices. Further, it introduces a rule-based business activity meta-model as a repository in which business knowledge can be captured and traced from their origin in the business environment through to their implementation in information systems. The c...

  4. A Representation System User Interface for Knowledge Base Designers

    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...

  5. Knowledge based assessment of intestinal parasitic Infections ...

    There is an apparent lack of information on the risk and clinical symptoms of Intestinal Parasitic Infections (IPIs) among students attending boarding secondary schools in Ebonyi State, Nigeria. This questionnaire-based survey attempts to assess some behavioural habits, possible risk factor(s) as well as clinical symptoms ...

  6. Experiences in Preserving Design Bases & Knowledge Management

    Koshy, Thomas

    2013-01-01

    Purpose: • To build repository of information on design and development in a retrievable manner to: • Establish licensing/design bases of the plant; • Identify the known vulnerabilities and how they are to be addressed; • Prevent undoing the lessons learned; • Facilitate advancement without repeating the undesirable incidents of the past

  7. Risk based knowledge assessments: towards a toolbox for managing key knowledge assets

    Bright, Clive

    2008-01-01

    Full text: It is now well acknowledged that considerable Knowledge Management (KM) issues are faced by national and international nuclear communities. Much of these problems relate to issues of an ageing workforce and the significantly reduced influx of new generation of nuclear engineers and scientists. The management discipline of KM contains a broad spectrum of methods and techniques. However, the effective implementation of a KM strategy requires the selection and deployment of appropriate and targeted approaches that are pertinent to the particular issues of the technical or business area within an organisation. A clear strategy is contingent upon an assessment of what are the knowledge areas and what are the key (knowledge) risk areas. In particular the following issues have to be addressed: 'what knowledge exists?', 'what is the nature and format of that knowledge?' and 'what knowledge is key to our continued, safe, and effective operation?'. Answers to such questions will enable an organisation to prioritise KM effort and employ subsequent KM approaches that are appropriate. Subsequent approaches ranging from the utilisation of information technologies, such as databases; knowledge retention methods; and the setting up of Community of Practices to share knowledge and experience. This paper considers a risk assessment based approach to KM. In so doing the paper extends work previously reported on an approach to conducting knowledge audits by considering the integration of that approach with approaches to (knowledge) risk assessment. The paper also provides a brief review of the various KM approaches that can act to reduce the level of risk faced by an organisation. The paper concludes by reflecting upon the role, value of deploying such a risk based approach. (author)

  8. Beyond "the West as Method": Repositioning the Japanese Education Research Communities in/against the Global Structure of Academic Knowledge

    Takayama, Keita

    2016-01-01

    Drawing on the recent critiques of the global knowledge economy of social science research, this article explores possible ways in which the Japanese education research communities can reposition themselves in the wider international education research community. The premises of this discussion are that there exists a global structure of academic…

  9. The Effects of Instruction with Visual Materials on the Development of Preservice Elementary Teachers' Knowledge and Attitude towards Global Warming

    Bozdogan, Aykut Emre

    2011-01-01

    This study aimed to identify the erroneous knowledge and misconceptions of preservice elementary teachers about global warming and examine the effects of instruction with visual materials on rectifying these misconceptions and fostering a positive attitude towards the issue of global warming. Having a quasi-experimental design, the study made use…

  10. How Global Academic Stratification Affects Local Academies: The Inflated Role of Knowledge Reception in the Philosophy Discipline in Modern Japan

    Chew, Matthew M.

    2008-01-01

    Sociologists of knowledge find that academic stratification is present among individual scholars, genders, networks, fields, and all kinds of scientific organizations, while communications scholars have been studying global cultural asymmetry for a long time. Yet few researchers have explored the global dimension of academic stratification. In…

  11. Confidence Testing for Knowledge-Based Global Communities

    Jack, Brady Michael; Liu, Chia-Ju; Chiu, Houn-Lin; Shymansky, James A.

    2009-01-01

    This proposal advocates the position that the use of confidence wagering (CW) during testing can predict the accuracy of a student's test answer selection during between-subject assessments. Data revealed female students were more favorable to taking risks when making CW and less inclined toward risk aversion than their male counterparts. Student…

  12. (ETHNO-)MEDICAL ETHICS IN GLOBALIZING CHINA: TRACING LOCAL KNOWLEDGE AND ADAPTATION OF BIOMEDICINE.

    Micollier, Evelyne

    2015-12-01

    Encounters between several bodies of therapeutic knowledge have led to a restructuring of the entire health system, including a transformation in medical ethics. Defining "new ethics" with both Chinese and international characteristics, is part of the ongoing knowledge production process: plural health ideas, practices and medical sciences develop within the broader framework of social and economic transition. Such transition simultaneously reveals and encourages China's influence and position in an era of globalization including in the technical and knowledge production domains. Re-alignments in medical ethics in Reform China (post-1979) highlight a rather under-explored aspect of medical plurality enabling these ethics to be used as an analytical lens to provide information about social and political issues. In this article, two sets of ethical principles, one from Late Imperial China (Late Ming Era), the other from post-Mao China (1980s), are detailed and analysed. They were selected as case-studies mainly because they reflected at the time of their emergence an on-going radical change in society in the realm of health and medicine. Therefore both sets unveil the process of legitimizing a "Chinese medicine" in a context of epistemological shift: such a process takes various conceptual and practicalforms framed along the lines of the current dominant ideological system and constrained by socio-economic and political factors. Finally, issues relative to research ethics, bioethics and the New Health Reform guidelines raised in the 2000s, which represents also a significant historical turn for China, are discussed. Drawn from the overall discussion throughout the text, several concluding remarks contribute to advocate for "win-win" encounters--from the East to the West and from the South to the South, and for more implementable transnational/global ethics designing.

  13. The Underdetermined Knowledge-Based Theory of the MNC

    Fransson, Anders; Håkanson, Lars; W. Liesch, Peter

    2011-01-01

    In this note we revisit two core propositions of the knowledge-based view of the firm found in the seminal work of Kogut and Zander: (1) that multinational corporations (MNCs) exist because transfers and re-combinations of knowledge occur more efficiently inside MNCs than between MNCs and third...... parties; and (2) that the threat of opportunism is not necessary, although it may be sufficient, to explain the existence of the MNC. Their knowledge-based view shifted the conceptualization of the firm from an institution arising from market failure and transaction costs economizing to a progeny......-combination of knowledge among their members. Important insights may be gained by applying the concept of epistemic communities implicit in the knowledge-based perspective beyond firm-level hierarchies....

  14. Knowledge-based automated radiopharmaceutical manufacturing for Positron Emission Tomography

    Alexoff, D.L.

    1991-01-01

    This article describes the application of basic knowledge engineering principles to the design of automated synthesis equipment for radiopharmaceuticals used in Positron Emission Tomography (PET). Before discussing knowledge programming, an overview of the development of automated radiopharmaceutical synthesis systems for PET will be presented. Since knowledge systems will rely on information obtained from machine transducers, a discussion of the uses of sensory feedback in today's automated systems follows. Next, the operation of these automated systems is contrasted to radiotracer production carried out by chemists, and the rationale for and basic concepts of knowledge-based programming are explained. Finally, a prototype knowledge-based system supporting automated radiopharmaceutical manufacturing of 18FDG at Brookhaven National Laboratory (BNL) is described using 1stClass, a commercially available PC-based expert system shell

  15. KNOWLEDGE BASE AND EFL TEACHER EDUCATION PROGRAMS: A COLOMBIAN PERSPECTIVE

    Yamith Fandiño

    2013-04-01

    Full Text Available In the 21st century, Colombian pre-service EFL Teacher Education Programs (TEPs should study what constitutes the core knowledge base for language teachers to be effective in their profession. These programs must refrain from simply conceptualizing knowledge base as the acquisition of the basic skills required for teaching, the competency of educators in their subject matter area, and the use of pedagogical skills. Instead, they should strive to reflect on what Colombian language teachers need to know about teaching and learning, and study how their knowledge, beliefs, and attitudes inform their practices. A starting point to do so is to interpret the variety of proposals that have been generated through the years in the field. This paperoffers a review of what teacher knowledge base is, presents an overview of how Colombian EFL TEPs are working on teacher knowledge,and suggests some strategies to envision a more complete framework of reference for teacher formation in Colombia.

  16. How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability

    Gaillard , Emmanuelle; Lieber , Jean; Nauer , Emmanuel; Cordier , Amélie

    2014-01-01

    International audience; This paper shows that performing case-based reasoning (CBR) on knowledge coming from an e-community is improved by taking into account knowledge reliability. MKM (meta-knowledge model) is a model for managing reliability of the knowledge units that are used in the reasoning process. For this, MKM uses meta-knowledge such as belief, trust and reputation, about knowledge units and users. MKM is used both to select relevant knowledge to conduct the reasoning process, and ...

  17. Knowledge-based operator guidance system for Japanese PWRs

    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

  18. FROM TRADITIONAL ACCOUNTING TO KNOWLEDGE BASED ACCOUNTING ORGANIZATIONS

    NICOLETA RADNEANTU

    2010-01-01

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

  19. Formal Support for Development of Knowledge-Based Systems

    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

  20. Knowledge-Based Hierarchies: Using Organizations to Understand the Economy

    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,…

  1. Knowledge base combinations and innovation performance in Swedish regions

    Grillitsch, M.; Martin, R.; Srholec, Martin

    2017-01-01

    Roč. 93, č. 5 (2017), s. 458-479 ISSN 0013-0095 Institutional support: Progres-Q24 Keywords : knowledge base * knowledge combination * region Subject RIV: AH - Economics OBOR OECD: Applied Economics, Econometrics Impact factor: 5.344, year: 2016

  2. Knowledge base combinations and innovation performance in Swedish regions

    Grillitsch, M.; Martin, R.; Srholec, Martin

    2017-01-01

    Roč. 93, č. 5 (2017), s. 458-479 ISSN 0013-0095 Institutional support: RVO:67985998 Keywords : knowledge base * knowledge combination * region Subject RIV: AH - Economics OBOR OECD: Applied Economics, Econometrics Impact factor: 5.344, year: 2016

  3. Project-based knowledge in organizing open innovation

    Comacchio, Anna; Pizzi, Claudio

    2014-01-01

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

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

    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.

  5. Knowledge-based interpretation of cranial MR images

    Kuhn, M.H.; Menhardt, W.; Schmidt, K.H.

    1987-01-01

    A computerized system is described that can be used to evaluate an MR tomogram automatically to support clinical identification of anatomic and pathologic structures and to aid in planning MR measurements. Knowledge from three domains is used for the interpretation of an MR image: nosologic knowledge, knowledge of MR imaging parameters, and anatomic and morphologic knowledge. Nosologic information is used to generate hypotheses about possible pathologies and their locations, based on the signs and symptoms of the patient. With this information, a sequence of interpretation modules, each able to detect substructures in already detected structures with the aid of techniques from image processing, pattern recognition, and artificial intelligence, is generated and executed

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

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

    2017-01-01

    Background Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians? experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mech...

  7. [Narrative-based medicine and clinical knowledge].

    Saito, Seiji

    2006-01-01

    Narrative Based Medicine (NBM) can be defined as follows; a) It views the patient's illness as an unfolding story within the wider story of the patient's life and life-world; b) It acknowledges the patient as the narrator of the story and the subject of the tale; c) It recognizes that all medical theories, hypothesis and pathophysiologies as socially constructed narratives and accepts the coexistence of multiple different narratives; d) It regards the emergence of new stories from dialogue and discourse between patients and healthcare professionals as part of the treatment. Because psychiatry is the only area of specialist medicine where talking and listening are explicitly understood to be therapeutic, NBM can be adopted an effective perspective and method in psychiatry.

  8. Knowledge Based Help desk System in Nuclear Malaysia

    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)

  9. Development of knowledge base system linked to material database

    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)

  10. Ambulatory orthopaedic surgery patients' knowledge with internet-based education.

    Heikkinen, Katja; Leino-Kilpi, H; Salanterä, S

    2012-01-01

    There is a growing need for patient education and an evaluation of its outcomes. The aim of this study was to compare ambulatory orthopaedic surgery patients' knowledge with Internet-based education and face-to-face education with a nurse. The following hypothesis was proposed: Internet-based patient education (experiment) is as effective as face-to-face education with a nurse (control) in increasing patients' level of knowledge and sufficiency of knowledge. In addition, the correlations of demographic variables were tested. The patients were randomized to either an experiment group (n = 72) or a control group (n = 75). Empirical data were collected with two instruments. Patients in both groups showed improvement in their knowledge during their care. Patients in the experiment group improved their knowledge level significantly more in total than those patients in the control group. There were no differences in patients' sufficiency of knowledge between the groups. Knowledge was correlated especially with patients' age, gender and earlier ambulatory surgeries. As a conclusion, positive results concerning patients' knowledge could be achieved with the Internet-based education. The Internet is a viable method in ambulatory care.

  11. Integrating ICT in Agriculture for Knowledge-Based Economy

    agriculture –based livelihoods, demands the integration of ICT knowledge with agriculture. .... (CGIAR) shows the vital role of Agricultural development in Rwanda's ... Network, Rwanda National Backbone Project, Regional Communication.

  12. Knowledge-Base Application to Ground Moving Target Detection

    Adve, R

    2001-01-01

    This report summarizes a multi-year in-house effort to apply knowledge-base control techniques and advanced Space-Time Adaptive Processing algorithms to improve detection performance and false alarm...

  13. Enhancing acronym/abbreviation knowledge bases with semantic information.

    Torii, Manabu; Liu, Hongfang

    2007-10-11

    In the biomedical domain, a terminology knowledge base that associates acronyms/abbreviations (denoted as SFs) with the definitions (denoted as LFs) is highly needed. For the construction such terminology knowledge base, we investigate the feasibility to build a system automatically assigning semantic categories to LFs extracted from text. Given a collection of pairs (SF,LF) derived from text, we i) assess the coverage of LFs and pairs (SF,LF) in the UMLS and justify the need of a semantic category assignment system; and ii) automatically derive name phrases annotated with semantic category and construct a system using machine learning. Utilizing ADAM, an existing collection of (SF,LF) pairs extracted from MEDLINE, our system achieved an f-measure of 87% when assigning eight UMLS-based semantic groups to LFs. The system has been incorporated into a web interface which integrates SF knowledge from multiple SF knowledge bases. Web site: http://gauss.dbb.georgetown.edu/liblab/SFThesurus.

  14. Knowledge Management for Large Scale Condition Based Maintenance

    National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...

  15. Community Based Health Insurance Knowledge and Willingness to ...

    Community Based Health Insurance Knowledge and Willingness to Pay; A Survey of a Rural Community in ... Journal Home > Vol 6, No 1 (2012) > ... and is the most appropriate insurance model for rural areas where incomes are unstable.

  16. Process fault diagnosis using knowledge-based systems

    Sudduth, A.L.

    1991-01-01

    Advancing technology in process plants has led to increased need for computer based process diagnostic systems to assist the operator. One approach to this problem is to use an embedded knowledge based system to interpret measurement signals. Knowledge based systems using only symptom based rules are inadequate for real time diagnosis of dynamic systems; therefore a model based approach is necessary. Though several forms of model based reasoning have been proposed, the use of qualitative causal models incorporating first principles knowledge of process behavior structure, and function appear to have the most promise as a robust modeling methodology. In this paper the structure of a diagnostic system is described which uses model based reasoning and conventional numerical methods to perform process diagnosis. This system is being applied to emergency diesel generator system in nuclear stations

  17. Understanding Fear of Opportunism in Global Prize-Based Science Contests: Evidence for Gender and Age Differences.

    Acar, Oguz Ali; van den Ende, Jan

    2015-01-01

    Global prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure, however, is paradoxical in nature: in order for the value of knowledge to be assessed, inventors must disclose their knowledge, but then the person who receives that knowledge does so at no cost and may use it opportunistically. This risk of potential opportunistic behavior in turn makes the inventor fearful of disclosing knowledge, and this is a major psychological barrier to knowledge disclosure. In this project, we investigated this fear of opportunism in global prize-based science contests by surveying 630 contest participants in the InnoCentive online platform for science contests. We found that participants in these science contests experience fear of opportunism to varying degrees, and that women and older participants have significantly less fear of disclosing their scientific knowledge. Our findings highlight the importance of taking differences in such fears into account when designing global prize-based contests so that the potential of the contests for reaching solutions to important and challenging problems can be used more effectively.

  18. Understanding Fear of Opportunism in Global Prize-Based Science Contests: Evidence for Gender and Age Differences.

    Oguz Ali Acar

    Full Text Available Global prize-based science contests have great potential for tapping into diverse knowledge on a global scale and overcoming important scientific challenges. A necessary step for knowledge to be utilized in these contests is for that knowledge to be disclosed. Knowledge disclosure, however, is paradoxical in nature: in order for the value of knowledge to be assessed, inventors must disclose their knowledge, but then the person who receives that knowledge does so at no cost and may use it opportunistically. This risk of potential opportunistic behavior in turn makes the inventor fearful of disclosing knowledge, and this is a major psychological barrier to knowledge disclosure. In this project, we investigated this fear of opportunism in global prize-based science contests by surveying 630 contest participants in the InnoCentive online platform for science contests. We found that participants in these science contests experience fear of opportunism to varying degrees, and that women and older participants have significantly less fear of disclosing their scientific knowledge. Our findings highlight the importance of taking differences in such fears into account when designing global prize-based contests so that the potential of the contests for reaching solutions to important and challenging problems can be used more effectively.

  19. A knowledge management-based intranet: asset or EBM liability?

    Mimnagh, Christopher

    2005-01-01

    This paper summarises the presentation given at the British Computer Society Primary Health Care Specialist Group annual conference 2004. It outlines the four years of experience gained in implementing a knowledge management-based intranet across a local health community. Consideration is given to definitions of knowledge management and evidence-based medicine. The paper outlines the potential impacts and actual results over the four-year period, with reference to the wider issues involved.

  20. Mapping the global research landscape and knowledge gaps on multimorbidity: a bibliometric study.

    Xu, Xiaolin; Mishra, Gita D; Jones, Mark

    2017-06-01

    To summarize global research trends and activities on multimorbidity; then to assess the knowledge gaps and to identify implications for knowledge exchange between high income countries (HICs) and low- and middle- income countries (LMICs). A comprehensive search was conducted to identify research publications on multimorbidity in the Web of Science TM , as well as diabetes, depression, hypertension, and Chronic Obstructive Pulmonary Disease (COPD). The time frame for the search was from 1900 to June, 2016. Information (such as publication date, subject category, author, country of origin, title, abstract, and keywords) were extracted and the full texts were obtained for the co-citation analysis. Data were linked with the life expectancy at birth (years) and Gross National Income (GNI). Co-citation and hierarchal clustering analysis was used to map the trends and research networks with CiteSpace II (JAVA freeware, copyright Chaomei Chen, http://cluster.cis.drexel.edu/~cchen/citespace/). We identified 2864 relevant publications as at June 2016, with the first paper on this topic indexed in 1974 from Germany, but 80% were published after 2010. Further analysis yielded two knowledge gaps: (1) compared with single conditions (diabetes, hypertension, depression, and COPD), there is a mismatch between the high prevalence of multimorbidity and its research outputs (ratio of articles on multimorbidity vs other four single conditions is 1:13-150); (2) although a total of 76 countries have contributed to this research area, only 5% of research originated from LMICs where 73% of non-communicable disease (NCD) related deaths had occurred. Additional analysis showed the median year of first publication occurred 15 years later in the LMICs compared with HICs (2010 vs 1995); and longer life expectancy was associated with exponentially higher publication outputs (Pearson correlation coefficient r  = 0.95) at the global level. The life expectancy at the median year (1994) of

  1. The Impact of Knowledge Management Practices on NPP Organizational Performance - Results of a Global Survey

    2013-06-01

    The IAEA has been asked by Member States in the 2012 General Conference Resolutions to ''further increase the level of awareness of efforts in managing nuclear knowledge'' and to continue ''to further develop and disseminate guidance and methodologies for planning, designing, and implementing nuclear knowledge management programs''. The present report summarizes the results of empirical research on the relationship between KM practices in nuclear power plants, their impact on the quality of organizational knowledge processes and the resulting effects on the organizational effectiveness of nuclear power plants. It presents the basic findings of the ''IAEA Global Nuclear Power Plant Survey: Investigating the Link Between Knowledge Management Practices and Organizational Performance'', which was conducted in 2010. This benchmark survey of KM practices in nuclear power plants was developed using a standard research methodology. The survey was made available on a global basis to all nuclear power plant sites. Senior operations managers were asked to complete the survey with input, as required, from their plant management team. Data from individual survey responses were treated as confidential, and only aggregate findings were reported. A total of 124 station ''site organizations'' participated in the survey, representing a response rate of approximately 60%. The findings provide empirical evidence of the importance of KM practices in improving the organizational effectiveness of nuclear power plants. They provide information about the current state of the industry with respect to KM practices, illustrating the direct and tangible benefits of implementing such practices and justifying continued or further efforts to ensure that KM programmes and systems are strategically planned and implemented in operating nuclear power plants. The research provides insights into the mechanisms by which KM practices have an impact on organizational effectiveness and provides a basis for

  2. A relational data-knowledge base system and its potential in developing a distributed data-knowledge system

    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. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 66: Emerging Trends in the Globalization of Knowledge: The Role of the Technical Report in Aerospace Research and Development

    Pinelli,Thomas E.; Golich, Vicki L.

    1997-01-01

    Economists, management theorists, business strategists, and governments alike recognize knowledge as the single most important resource in today's global economy. Because of its relationship to technological progress and economic growth, many governments have taken a keen interest in knowledge; specifically its production, transfer, and use. This paper focuses on the technical report as a product for disseminating the results of aerospace research and development (R&D) and its use and importance to aerospace engineers and scientists. The emergence of knowledge as an intellectual asset, its relationship to innovation, and its importance in a global economy provides the context for the paper. The relationships between government and knowledge and government and innovation are used to place knowledge within the context of publicly-funded R&D. Data, including the reader preferences of NASA technical reports, are derived from the NASA/DoD Aerospace Knowledge Diffusion Research Project, a ten-year study of knowledge diffusion in the U.S. aerospace industry.

  4. Nonlinear Knowledge in Kernel-Based Multiple Criteria Programming Classifier

    Zhang, Dongling; Tian, Yingjie; Shi, Yong

    Kernel-based Multiple Criteria Linear Programming (KMCLP) model is used as classification methods, which can learn from training examples. Whereas, in traditional machine learning area, data sets are classified only by prior knowledge. Some works combine the above two classification principle to overcome the defaults of each approach. In this paper, we propose a model to incorporate the nonlinear knowledge into KMCLP in order to solve the problem when input consists of not only training example, but also nonlinear prior knowledge. In dealing with real world case breast cancer diagnosis, the model shows its better performance than the model solely based on training data.

  5. An assessment of global meteorological droughts based on HAPPI experiments

    Liu, Wenbin; Sun, Fubao; Lim, Wee Ho; Zhang, Jie

    2017-04-01

    Droughts caused water shortages could lead to serious consequences on the socioeconomic and environmental well-being. In the context of changing climate, droughts monitoring, attributions and impact assessments have been performed using observations (e.g., Sun et al., 2012; Zhang et al., 2016) and climate model projections (e.g., Liu et al., 2016, 2017); with expectation that such scientific knowledge would feed into long-term adaptation and mitigation plans to tackle potentially unfavorable future drought impacts in a warming world. Inspired by the 2015 Paris Agreement, the HAPPI (Half a degree Additional warming, Projections, Prognosis and Impacts) experiments were set up to better inform international policymakers about the socioeconomic and environmental impacts under less severe global warming conditions. This study aims to understand the potential shift in meteorological droughts from the past into the future on a global scale. Based on the HAPPI data, we evaluate the change in drought related indices (i.e., PET/P, PDSI) from the past to the future scenarios (1.5 and 2 degrees Celsius warming). Here we present some early results (MIROC5 as demonstration) on identified hotspots and discuss the differences in severity of droughts between these warming worlds and associated consequences. References: Liu W, and Sun F, 2017. Projecting and attributing future changes of evaporative demand over China in CMIP5 climate models, Journal of Hydrometeorology, doi: 10.1175/JHM-D-16-0204.1 Liu W, and Sun F, 2016. Assessing estimates of evaporative demand in climate models using observed pan evaporation over China. Journal of Geophysical Research-Atmosphere 121, 8329-8349 Zhang J, Sun F, Xu J, Chen Y, Sang Y, -F, and Liu C, 2016. Dependence of trends in and sensitivity of drought over China (1961-2013) on potential evaporation model. Geophysical Research Letters 43, 206-213 Sun F, Roderick M, Farquhar G, 2012. Changes in the variability of global land precipitation

  6. Legal Frontiers in the Global Dissemination of Technology and Knowledge: Three Case Studies

    Tang, Yi Shin

    2008-01-01

    This article explores a few alternatives to the traditional legal and economic theories regarding the problem of global dissemination of knowledge and technology to developing countries. In particular, it examines three cases in which the classical notion of intellectual property rights seems...... to have been exploited in favor of developing countries, both through its conventional application and through more flexible views of such legal institution. The first case deals with the phenomenon of peer production through electronic networks; the second discusses the regulation of trademarks...... in the context of collective rights; and finally, the third case tackles the recent problem of the so-called "abandonwares" and its implications of economic and legal nature....

  7. THE IMPACT OF MOVING TO KNOWLEDGE BASED ECONOMY IN THE PUBLIC SECTOR

    Mihaela PACESILA

    2006-01-01

    Full Text Available Global economy underwent profound changes in the last fifteen years, whichdetermined the appearance of a new economy – the knowledge economy.This economy is the result of the knowledge revolution, which gets a greaterand greater importance. Knowledge development is also very important inpublic sector. The knowledge society and its impact in public sectordevelopment is a critical area of study. The knowledge economy in publicsector requires the utilization of the knowledge in order to improve thetransparence, the services delivering to the citizens, for a bettercommunication with the citizens/users/clients and in order to improve theknowing degree of their needs. The transition to the knowledge economy inpublic sector has to take place in a decentralized, non-bureaucratic, cataliticand permissive environment, orientated to the results. In the same time, thepublic organizations must become knowledge based organizations, that havethe responsability and the flexibility to achieve the objectives publicly defined.In order to promote efficiently the development in the knowledge economy,the government must facilitate, instead of breaking, the process of economicchanges and modernizations, according as this modifications create newopportuneness and raised revenues. This must become as fast, selectiveand flexible as the economy and the society with which is mostly in contactand it must adopt the political decisions that serve the best the publicinterest.

  8. The Latent Structure of Secure Base Script Knowledge

    Waters, Theodore E. A.; Fraley, R. Chris; Groh, Ashley M.; Steele, Ryan D.; Vaughn, Brian E.; Bost, Kelly K.; Veríssimo, Manuela; Coppola, Gabrielle; Roisman, Glenn I.

    2015-01-01

    There is increasing evidence that attachment representations abstracted from childhood experiences with primary caregivers are organized as a cognitive script describing secure base use and support (i.e., the "secure base script"). To date, however, the latent structure of secure base script knowledge has gone unexamined--this despite…

  9. Knowledge based support for multiagent control and automation

    Saleem, Arshad; Lind, Morten

    2011-01-01

    This paper presents a mechanism for developing knowledge based support in multiagent based control and diagnosis. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism have been used...

  10. E-resource knowledge bases and link resolvers: an assessment of the current products and emerging trends

    Marshall Breeding

    2012-07-01

    Full Text Available This article summarizes the findings of a study on e-resource knowledge bases and OpenURL-based link resolvers sponsored by the National Library of Sweden. The project involved soliciting detailed information from each of the providers of the major products in this genre, reviewing product information available on the web and in published articles, and conducting a survey addressed to libraries using these products. The report identified and presented comparative information on a top tier of products that includes KnowledgeWorks and 360 Link from Serials Solutions; SFX Global KnowledgeBase and the SFX link resolver from Ex Libris; LinkSource and the EBSCO Integrated Knowledge Base from EBSCO and the WorldCat knowledge base from OCLC. A second tier included TOUResolver from TDNet, Gold Rush from the Colorado Alliance of Research Libraries and GODOT from Simon Fraser University. Innovative Interfaces, Inc offers the WebBridge link resolver but does not produce a knowledge base. The library survey revealed relatively narrow differences in the statistical results. Serial Solutions emerged as more favorable in most categories except for end-user functionality where Ex Libris received higher ratings. The Global Open Knowledgebase project (GOKb is noteworthy as a nascent community-based effort to produce a knowledge base. Key trends noted include less emphasis on knowledge bases and link resolvers as stand-alone products as they become integral components of comprehensive discovery and automation products.

  11. Hydrogen based global renewable energy network

    Akai, Makoto [Mechanical Engineering Laboratory, AIST, MITI, Namiki, Tsukuba (Japan)

    1993-12-31

    In the last quarter of this century, global environmental problem has emerged as a major scientific, political and social issue. Specific Problems include: depletion of ozone layer by chlorofluorocarbons (CFCs), acid rain, destruction of tropical forests and desertification, pollution of the sea and global wanning due to the greenhouse effect by carbon dioxide and others. Among these problems, particular attention of the world has been focused on the global warming because it has direct linkage to energy consumption which our economic development depends on so far. On the other hand, the future program of The Sunshine Project for alternative energy technology R&D, The Moonlight Project for energy conservation technology R&D, and The Global Environmental Technology Program for environmental problem mitigating technology R&D which are Japan`s national projects being promoted by their Agency of Industrial Science and Technology (AIST) in the Ministry of International Trade and Industry have been reexamined in view of recent changes in the situations surrounding new energy technology. In this regard, The New Sunshine Program will be established by integrating these three activities to accelerate R&D in the field of energy and environmental technologies. In the reexamination, additional stress has been laid on the contribution to solving global environmental problem through development of clean renewable energies which constitute a major part of the {open_quotes}New Earth 21{close_quotes}, a comprehensive, long-term and international cooperative program proposed by MITI. The present paper discusses the results of feasibility study on hydrogen energy system leading to the concept of WE-NET following a brief summary on R&D status on solar and wind energy in Japan.

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

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

    2014-01-01

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

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

    Guang Lan Zhang

    2014-01-01

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

  14. Knowledge Base Applications to Adaptive Space-Time Processing, Volume 5: Knowledge-Based Tracker Rule Book

    Morgan, Charles

    2001-01-01

    ... processing algorithm can be applied. The proactive knowledge-based tracker uses information from other sources such as digital terrain maps, radar clutter and interference maps, and target priority assessments to determine the nature...

  15. Implementation of knowledge-based engineering methodology in hydraulic generator design

    Wei Guo

    2015-05-01

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

  16. User-based and Cognitive Approaches to Knowledge Organization

    Hjørland, Birger

    2013-01-01

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

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

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

    2017-12-19

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

  18. Conserving agrobiodiversity amid global change, migration, and nontraditional livelihood networks: the dynamic uses of cultural landscape knowledge

    Karl S. Zimmerer

    2014-06-01

    Full Text Available I examined agrobiodiversity in smallholder cultural landscapes with the goal of offering new insights into management and policy options for the resilience-based in situ conservation and social-ecological sustainability of local, food-producing crop types, i.e., landraces. I built a general, integrative approach to focus on both land use and livelihood functions of crop landraces in the context of nontraditional, migration-related livelihoods amid global change. The research involved a multimethod, case-study design focused on a cultural landscape of maize, i.e., corn, growing in the Andes of central Bolivia, which is a global hot spot for this crop's agrobiodiversity. Central questions included the following: (1 What are major agroecological functions and food-related services of the agrobiodiversity of Andean maize landraces, and how are they related to cultural landscapes and associated knowledge systems? (2 What are new migration-related livelihood groups, and how are their dynamic livelihoods propelled through global change, in particular international and national migration, linked to the use and cultural landscapes of agrobiodiversity? (3 What are management and policy options derived from the previous questions? Combined social-ecological services as both cultivation and food resources are found to function in relation to the cultural landscape. Results demonstrated major variations of maturation-based, phenologic traits and food-use properties that are cornerstones of the landrace-level agrobiodiversity of Andean maize. Knowledge of these parameters is widespread. Linkage of these production and consumption functions yields a major insight into dynamics of Andean maize agrobiodiversity. Concurrently, this smallholder cultural landscape has become increasingly dependent on new rural conditions, especially increased livelihood diversification and migration amid growing peri-urban influences. Viability of landrace-level maize

  19. Automated extraction of knowledge for model-based diagnostics

    Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.

    1990-01-01

    The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.

  20. Knowledge based system for fouling assessment of power plant boiler

    Afgan, N.H.; He, X.; Carvalho, M.G.; Azevedo, J.L.T.

    1999-01-01

    The paper presents the design of an expert system for fouling assessment in power plant boilers. It is an on-line expert system based on selected criteria for the fouling assessment. Using criteria for fouling assessment based on 'clean' and 'not-clean' radiation heat flux measurements, the diagnostic variable are defined for the boiler heat transfer surface. The development of the prototype knowledge-based system for fouling assessment in power plants boiler comprise the integrations of the elements including knowledge base, inference procedure and prototype configuration. Demonstration of the prototype knowledge-based system for fouling assessment was performed on the Sines power plant. It is a 300 MW coal fired power plant. 12 fields are used with 3 on each side of boiler

  1. Awareness of disease state without explicit knowledge of memory failure in transient global amnesia.

    Hainselin, Mathieu; Quinette, Peggy; Desgranges, Béatrice; Martinaud, Olivier; de La Sayette, Vincent; Hannequin, Didier; Viader, Fausto; Eustache, Francis

    2012-09-01

    Transient global amnesia (TGA) is a syndrome characterised by the rapid onset of antero- and retrograde amnesia, accompanied by temporal disorientation and iterative questioning. It is now established that the acute phase is associated with a raised level of anxiety and a depressed mood. We conducted a thorough investigation of patients' perceptions of their disease state, focusing on the links between their lack of explicit knowledge of amnesia during the acute phase and their emotional experience. Explicit knowledge of memory deficits was assessed during TGA by means of an original scale inspired by Bisiach et al. (1986) and self-reported scales measuring patients' perceptions of their current memory and their cognitive and behavioural functioning. At the same time, we probed the patients' emotional experience (sources of worry, and levels of worry, anxiety and depression) via questionnaires. Data were collected from 20 patients in the acute phase, 16 in the peri-acute phase, 16 who were assessed the day after the episode and 14 healthy controls. Each patient underwent a follow-up examination 2 months later. Patients in the acute phase displayed a lack of explicit knowledge of their amnesia and overestimated their memory performances. They also expressed higher levels of worry and anxiety than controls, and a more depressed mood. Although they were aware of their disease state, the TGA patients were unable to identify the nature of their memory deficits and overestimated their memory performances. These memory misperceptions and the inability to acknowledge memory failure occurred concomitantly with changes in the patients' emotional state. This particular pattern of awareness could be regarded as a reaction to the suddenness and massiveness of the amnesia. Copyright © 2012 Elsevier Srl. All rights reserved.

  2. Full waveform inversion using envelope-based global correlation norm

    Oh, Ju-Won; Alkhalifah, Tariq

    2018-05-01

    To increase the feasibility of full waveform inversion on real data, we suggest a new objective function, which is defined as the global correlation of the envelopes of modelled and observed data. The envelope-based global correlation norm has the advantage of the envelope inversion that generates artificial low-frequency information, which provides the possibility to recover long-wavelength structure in an early stage. In addition, the envelope-based global correlation norm maintains the advantage of the global correlation norm, which reduces the sensitivity of the misfit to amplitude errors so that the performance of inversion on real data can be enhanced when the exact source wavelet is not available and more complex physics are ignored. Through the synthetic example for 2-D SEG/EAGE overthrust model with inaccurate source wavelet, we compare the performance of four different approaches, which are the least-squares waveform inversion, least-squares envelope inversion, global correlation norm and envelope-based global correlation norm. Finally, we apply the envelope-based global correlation norm on the 3-D Ocean Bottom Cable (OBC) data from the North Sea. The envelope-based global correlation norm captures the strong reflections from the high-velocity caprock and generates artificial low-frequency reflection energy that helps us recover long-wavelength structure of the model domain in the early stages. From this long-wavelength model, the conventional global correlation norm is sequentially applied to invert for higher-resolution features of the model.

  3. Knowledge based system for control rod programming of BWRs

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

    1988-01-01

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

  4. In Search of Museum Professional Knowledge Base: Mapping the Professional Knowledge Debate onto Museum Work

    Tlili, Anwar

    2016-01-01

    Museum professionalism remains an unexplored area in museum studies, particularly with regard to what is arguably the core generic question of a "sui generis" professional knowledge base, and its necessary and sufficient conditions. The need to examine this question becomes all the more important with the increasing expansion of the…

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

    Benneworth, Paul Stephen; Ratinho, Tiago

    2014-01-01

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

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

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

    2015-01-01

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

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

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

    2015-05-15

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

  8. A Conceptualization of Knowledge Governance in Project-based Organizations

    Pemsel, Sofia; Wiewiorac, Anna; Müller, Ralf

    2014-01-01

    This paper conceptualizes and defines knowledge governance (KG) in project-based organizations (PBOs). Two key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced, as distinguished from knowledge management and organizational learning concepts. The con......This paper conceptualizes and defines knowledge governance (KG) in project-based organizations (PBOs). Two key contributions towards a multi-faceted view of KG and an understanding of KG in PBOs are advanced, as distinguished from knowledge management and organizational learning concepts....... The conceptual framework addresses macro- and micro-level elements of KG and their interaction. Our definition of KG in PBOs highlights the contingent nature of KG processes in relation to their organizational context. These contributions provide a novel platform for understanding KG in PBOs....

  9. Knowledge based analysis of radiology reports using conceptual graphs

    Schroeder, M.

    1992-07-01

    The telegraphic language found in radiological reports can be well understood by a natrual language system using the underlying domain knowledge. We present the METEXA system, which emphasizes the use of radiological domain knowledge to determine the semantics of utterances. Syntactic and semantic analysis, lexical sematics and the structure of the domain model are described in some detail. A resolution-based inference engine answers relevant questions concerning the contents of the reports. As knowledge representation formalism the Conceptual Graph Theory by John Sowa has been chosen. (orig.)

  10. Knowledge Based Product Configuration - a documentatio tool for configuration projects

    Hvam, Lars; Malis, Martin

    2003-01-01

    . A lot of knowledge isput into these systems and many domain experts are involved. This calls for an effective documentation system in order to structure this knowledge in a way that fits to the systems. Standard configuration systems do not support this kind of documentation. The chapter deals...... with the development of a Lotus Notes application that serves as a knowledge based documentation tool for configuration projects. A prototype has been developed and tested empirically in an industrial case-company. It has proved to be a succes....

  11. Building the knowledge base for environmental action and sustainability

    2015-01-01

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

  12. Knowledge based systems advanced concepts, techniques and applications

    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

  13. LPS: a rule-based, schema-oriented knowledge representation system

    Anzai, Y; Mitsuya, Y; Nakajima, S; Ura, S

    1981-01-01

    A new knowledge representation system called LPS is presented. The global control structure of LPS is rule-based, but the local representational structure is schema-oriented. The present version of LPS was designed to increase the understandability of representation while keeping time efficiency reasonable. Pattern matching through slot-networks and meta-actions from among the implemented facilities of LPS, are especially described in detail. 7 references.

  14. THE ROLE OF INTELLECTUAL CAPITAL IN KNOWLEDGE - BASED SOCIETY

    Denisa-Elena Parpandel

    2013-01-01

    In a knowledge - based society, organizations undergo permanent changes and transformations, and the key factor of such changes is intellectual capital regarded as one of the most critical, yet most strategic values an organization might own. Analyzing intelectual capital and knowledge society over the last decades has primarily emerged in private companies, whereas at present there is an increasing concern in all the fields of activity. The goal of this paper is to emphasize the im...

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

    Diana-Maria CISMARU; Cristina LEOVARIDIS

    2014-01-01

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

  16. Preventing Medication Error Based on Knowledge Management Against Adverse Event

    Hastuti, Apriyani Puji; Nursalam, Nursalam; Triharini, Mira

    2017-01-01

    Introductions: Medication error is one of many types of errors that could decrease the quality and safety of healthcare. Increasing number of adverse events (AE) reflects the number of medication errors. This study aimed to develop a model of medication error prevention based on knowledge management. This model is expected to improve knowledge and skill of nurses to prevent medication error which is characterized by the decrease of adverse events (AE). Methods: This study consisted of two sta...

  17. GrandBase: generating actionable knowledge from Big Data

    Xiu Susie Fang

    2017-08-01

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

  18. Arranging ISO 13606 archetypes into a knowledge base.

    Kopanitsa, Georgy

    2014-01-01

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

  19. Knowledge and knowledge bases in the learning process og polish companies

    Lorentzen, Anne

    2003-01-01

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

  20. A matter of prior knowledge: Canadian young children’s conceptions about the future in the global community

    Ottilia Chareka

    2010-03-01

    Full Text Available Young Canadian boys and girls aged nine to eleven were asked to consider their personal futures, the future of their community and the future of the world. Mixed methods were employed for data collection and analysis. Responses were compared with those given by children in eight countries and the discussion focused on the importance prior knowledge, in this case, prior knowledge of global issues, holds for effective teaching and learning about global issues. Canadian children were optimistic about the future for themselves and their community but less so for the globe. More so than other children, Canadian children were concerned with issues of social justice, issues such as discrimination and racism, and with improving the environment, which might be attributed to the emphasis that is placed on these issues in their school curriculum. Assessing prior knowledge should be a priority for those considering development and implementation of global education curricula.

  1. A matter of prior knowledge: Canadian young children’s conceptions about the future in the global community

    Ottilia CHAREKA

    2010-03-01

    Full Text Available Young Canadian boys and girls aged nine to eleven were asked to consider their personal futures, the future of their community and the future of the world. Mixed methods were employed for data collection and analysis. Responses were compared with those given bychildren in eight countries and the discussion focused on the importance prior knowledge, in this case, prior knowledge of global issues, holds for effective teaching and learning about global issues. Canadian children were optimistic about the future for themselves and their community but less so for the globe. More so than other children, Canadian children were concerned with issues of social justice, issues such as discrimination and racism, and withimproving the environment, which might be attributed to the emphasis that is placed on these issues in their school curriculum. Assessing prior knowledge should be a priority for those considering development and implementation of global education curricula.

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

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

    2012-07-01

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

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

    Shah, Mamta; Foster, Aroutis

    2015-01-01

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

  4. Malaysia Transitions toward a Knowledge-Based Economy

    Mustapha, Ramlee; Abdullah, Abu

    2004-01-01

    The emergence of a knowledge-based economy (k-economy) has spawned a "new" notion of workplace literacy, changing the relationship between employers and employees. The traditional covenant where employees expect a stable or lifelong employment will no longer apply. The retention of employees will most probably be based on their skills…

  5. Intelligent Tools for Planning Knowledge base Development and Verification

    Chien, Steve A.

    1996-01-01

    A key obstacle hampering fielding of AI planning applications is the considerable expense of developing, verifying, updating, and maintaining the planning knowledge base (KB). Planning systems must be able to compare favorably in terms of software lifecycle costs to other means of automation such as scripts or rule-based expert systems.

  6. Generic knowledge-based analysis of social media for recommendations

    de Graaff, V.; van de Venis, Anne; van Keulen, Maurice; de By, R.A.; Bogers, Toine; Koolen, Marijn

    2015-01-01

    Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge-based recommender systems are used to match users based on information that links the two, but they often focus on a single, specific application, such as movies to watch

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

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

    2010-01-01

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

  8. MATHEMATICAL APPARATUS FOR KNOWLEDGE BASE PROJECT MANAGEMENT OF OCCUPATIONAL SAFETY

    Валентина Николаевна ПУРИЧ

    2015-05-01

    Full Text Available The occupational safety project (OSP management is aimed onto a rational choice implementation. With respect to the subjectivity of management goals the project selection is considered as a minimum formalization level information process, The proposed project selection model relies upon the enterprise’s occupational and industrial safety assessment using fuzzy logic and linguistic variables based on occupational safety knowledge base.

  9. Signature-based global searches at CDF

    Hocker, James Andrew

    2008-01-01

    Data collected in Run II of the Fermilab Tevatron are searched for indications of new electroweak scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with respect to the Standard Model prediction. Gross features of the data, mass bumps, and significant excesses of events with large summed transverse momentum are examined in a model-independent and quasi-model-independent approach. This global search for new physics in over three hundred exclusive final states in 2 fb -1 of p(bar p) collisions at √s = 1.96 TeV reveals no significant indication of physics beyond the Standard Model

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

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

    1993-03-01

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

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

    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.

  12. KBGIS-2: A knowledge-based geographic information system

    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.

  13. Knowledge representation to support reasoning based on multiple models

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

    1990-01-01

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

  14. A knowledge based method for nuclear plant loading pattern determination

    Dauboin, P.

    1990-01-01

    This paper deals with the design of a knowledge based system for solving an industrial problem which occurs in nuclear fuel management. The problem lies in determining satisfactory loading patterns for nuclear plants. Its primary feature consists in the huge search space involved. Conventional resolution processes are formally defined and analyzed: there is no general algorithm which guarantees to always provide a reasonable solution in each situation. We propose a new approach to solve this constrained search problem using domain-specific knowledge and general constraint-based heuristics. During a preprocessing step, a problem dependent search algorithm is designed. This procedure is then automatically implemented in FORTRAN. The generated routines have proved to be very efficient finding solutions which could not have been provided using logic programming. A prototype expert system has already been applied to actual reload pattern searches. While combining efficiency and flexibility, this knowledge based system enables human experts to rapidly match new constraints and requirements

  15. Management of Globally Distributed Component-Based Software Development Projects

    J. Kotlarsky (Julia)

    2005-01-01

    textabstractGlobally Distributed Component-Based Development (GD CBD) is expected to become a promising area, as increasing numbers of companies are setting up software development in a globally distributed environment and at the same time are adopting CBD methodologies. Being an emerging area, the

  16. A knowledge-based system for prototypical reasoning

    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.

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

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

    2017-01-01

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

  18. A Case for Embedded Natural Logic for Ontological Knowledge Bases

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

    We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences......, where the large and evolving knowledge specifications should be directly accessible to domain experts. Moreover, natural logic comes with intuitive inference rules. The considered version of natural logic leans toward the closed world assumption (CWA) unlike the open world assumption with classical...

  19. A real time knowledge-based alarm system EXTRA

    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

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

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

    2017-07-01

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

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

    Park, Joo Hyun; Seong, Poong Hyun

    1998-01-01

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

  2. A global change data base using thematic mapper data: Earth monitoring educational system (EMES)

    D'Antoni, H.L.; Peterson, D.L.

    1992-01-01

    The creation of an Earth Monitoring Educational System integrated with the research interests of NASA Ames Research Center and one or more university schools is proposed. This would be a first step in a new educational system at an international scale. Based on the integration of a global network of cooperators to build a global data base for assessments of global change, the EMES will promote AS, BS, MS and PhDs in global ecology at associated universities and colleges, and extra-curricular courses for multilevel audiences. These would range as appropriate from ministers to resource managers to students. Both programs will be conducted under a systemic approach, through active learning, coordination and correlation practices. They will be aimed to: (1) train specialists, (2) establish a tradition of solving regional problems concerning global change in a systemic manner, using remote sensing technology as the monitoring tool, and (3) transfer knowledge on global change to the national and world communities. The main goal of the extra-curricular courses would be to provide readily usable knowledge to the decision-making levels of all the participant countries and institutions. South America is proposed as the pilot continent for the project. This work is consistent with the educational goals of the International Space year in 1992

  3. Global forces and local currents in Argentina's science policy crossroads: restricted access or open knowledge

    Horacio Javier Etchichury

    2014-11-01

    Full Text Available The article describes the tensions between two competing approaches to scientific policy in Argentina. The traditional vision favors autonomous research. The neoliberal conception fosters the link between science and markets. In the past few years, a neodevelopmentalist current also tries to stress relevance of scientific research. Finally, the article describes how the Open Access movement has entered the debate. The World Bank intervention and the human rights dimension of the question are discussed in depth. The article introduces the notion of open knowledge as a guiding criterion to design a human-rights based scientific policy.

  4. Effect of age on variability in the production of text-based global inferences.

    Williams, Lynne J; Dunlop, Joseph P; Abdi, Hervé

    2012-01-01

    As we age, our differences in cognitive skills become more visible, an effect especially true for memory and problem solving skills (i.e., fluid intelligence). However, by contrast with fluid intelligence, few studies have examined variability in measures that rely on one's world knowledge (i.e., crystallized intelligence). The current study investigated whether age increased the variability in text based global inference generation--a measure of crystallized intelligence. Global inference generation requires the integration of textual information and world knowledge and can be expressed as a gist or lesson. Variability in generating two global inferences for a single text was examined in young-old (62 to 69 years), middle-old (70 to 76 years) and old-old (77 to 94 years) adults. The older two groups showed greater variability, with the middle elderly group being most variable. These findings suggest that variability may be a characteristic of both fluid and crystallized intelligence in aging.

  5. Effect of age on variability in the production of text-based global inferences.

    Lynne J Williams

    Full Text Available As we age, our differences in cognitive skills become more visible, an effect especially true for memory and problem solving skills (i.e., fluid intelligence. However, by contrast with fluid intelligence, few studies have examined variability in measures that rely on one's world knowledge (i.e., crystallized intelligence. The current study investigated whether age increased the variability in text based global inference generation--a measure of crystallized intelligence. Global inference generation requires the integration of textual information and world knowledge and can be expressed as a gist or lesson. Variability in generating two global inferences for a single text was examined in young-old (62 to 69 years, middle-old (70 to 76 years and old-old (77 to 94 years adults. The older two groups showed greater variability, with the middle elderly group being most variable. These findings suggest that variability may be a characteristic of both fluid and crystallized intelligence in aging.

  6. The Encyclopedia of Life v2: Providing Global Access to Knowledge About Life on Earth

    2014-01-01

    Abstract The Encyclopedia of Life (EOL, http://eol.org) aims to provide unprecedented global access to a broad range of information about life on Earth. It currently contains 3.5 million distinct pages for taxa and provides content for 1.3 million of those pages. The content is primarily contributed by EOL content partners (providers) that have a more limited geographic, taxonomic or topical scope. EOL aggregates these data and automatically integrates them based on associated scientific names and other classification information. EOL also provides interfaces for curation and direct content addition. All materials in EOL are either in the public domain or licensed under a Creative Commons license. In addition to the web interface, EOL is also accessible through an Application Programming Interface. In this paper, we review recent developments added for Version 2 of the web site and subsequent releases through Version 2.2, which have made EOL more engaging, personal, accessible and internationalizable. We outline the core features and technical architecture of the system. We summarize milestones achieved so far by EOL to present results of the current system implementation and establish benchmarks upon which to judge future improvements. We have shown that it is possible to successfully integrate large amounts of descriptive biodiversity data from diverse sources into a robust, standards-based, dynamic, and scalable infrastructure. Increasing global participation and the emergence of EOL-powered applications demonstrate that EOL is becoming a significant resource for anyone interested in biological diversity. PMID:24891832

  7. Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems.

    Leonelli, Sabina

    2016-12-28

    The distributed and global nature of data science creates challenges for evaluating the quality, import and potential impact of the data and knowledge claims being produced. This has significant consequences for the management and oversight of responsibilities and accountabilities in data science. In particular, it makes it difficult to determine who is responsible for what output, and how such responsibilities relate to each other; what 'participation' means and which accountabilities it involves, with regard to data ownership, donation and sharing as well as data analysis, re-use and authorship; and whether the trust placed on automated tools for data mining and interpretation is warranted (especially as data processing strategies and tools are often developed separately from the situations of data use where ethical concerns typically emerge). To address these challenges, this paper advocates a participative, reflexive management of data practices. Regulatory structures should encourage data scientists to examine the historical lineages and ethical implications of their work at regular intervals. They should also foster awareness of the multitude of skills and perspectives involved in data science, highlighting how each perspective is partial and in need of confrontation with others. This approach has the potential to improve not only the ethical oversight for data science initiatives, but also the quality and reliability of research outputs.This article is part of the themed issue 'The ethical impact of data science'. © 2015 The Authors.

  8. Identification of Managerial Competencies in Knowledge-based Organizations

    Königová Martina

    2012-03-01

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

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

    Dejneko, A.O.

    2011-01-01

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

  10. A knowledge-based system for fluidization studies

    1990-04-01

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

  11. Developing a knowledge base for the management of severe accidents

    Nelson, W.R.; Jenkins, J.P.

    1986-01-01

    Prior to the accident at Three Mile Island, little attention was given to the development of procedures for the management of severe accidents, that is, accidents in which the reactor core is damaged. Since TMI, however, significant effort has been devoted to developing strategies for severe accident management. At the same time, the potential application of artificial intelligence techniques, particularly expert systems, to complex decision-making tasks such as accident diagnosis and response has received considerable attention. The need to develop strategies for accident management suggests that a computerized knowledge base such as used by an expert system could be developed to collect and organize knowledge for severe accident management. This paper suggests a general method which could be used to develop such a knowledge base, and how it could be used to enhance accident management capabilities

  12. SPRINT RA 230: Methodology for knowledge based developments

    Wallsgrove, R.; Munro, F.

    1991-01-01

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

  13. Generating inferences from knowledge structures based on general automata

    Koenig, E C

    1983-01-01

    The author shows that the model for knowledge structures for computers based on general automata accommodates procedures for establishing inferences. Algorithms are presented which generate inferences as output of a computer when its sentence input names appropriate knowledge elements contained in an associated knowledge structure already stored in the memory of the computer. The inferences are found to have either a single graph tuple or more than one graph tuple of associated knowledge. Six algorithms pertain to a single graph tuple and a seventh pertains to more than one graph tuple of associated knowledge. A named term is either the automaton, environment, auxiliary receptor, principal receptor, auxiliary effector, or principal effector. The algorithm pertaining to more than one graph tuple requires that the input sentence names the automaton, transformation response, and environment of one of the tuples of associated knowledge in a sequence of tuples. Interaction with the computer may be either in a conversation or examination mode. The algorithms are illustrated by an example. 13 references.

  14. Space nuclear reactor system diagnosis: Knowledge-based approach

    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

  15. Emerging Trends in the Globalization of Knowledge: The Role of the Technical Report in Aerospace Research and Development

    Pinelli, Thomas E.; Golich, Vicki L.

    1997-01-01

    Economists, management theorists, business strategists, and governments alike recognize knowledge as the single most important resource in today's global economy. Because of its relationship to technological progress and economic growth, many governments have taken a keen interest in knowledge, specifically its production, transfer, and use. This paper focuses on the technical report as a product for disseminating the results of aerospace research and development (R&D) and its use and importance to aerospace engineers and scientists. The emergence of knowledge as an intellectual asset, its relationship to innovation, and its importance in a global economy provides the context for the paper. The relationships between government and knowledge and between government and innovation are used to placed knowledge within the context of publicly-funded R&D. Data, including the reader preferences of NASA technical reports, are derived from the NASA/DOD Aerospace Knowledge Diffusion Research Project, a ten-year study of knowledge diffusion in the U.S. aerospace industry.

  16. The development of an internet-based knowledge exchange platform for pediatric critical care clinicians worldwide*.

    Wolbrink, Traci A; Kissoon, Niranjan; Burns, Jeffrey P

    2014-03-01

    Advances in Internet technology now enable unprecedented global collaboration and collective knowledge exchange. Up to this time, there have been limited efforts to use these technologies to actively promote knowledge exchange across the global pediatric critical care community. To develop an open-access, peer-reviewed, not-for-profit Internet-based learning application, OPENPediatrics, a collaborative effort with the World Federation of Pediatric Intensive and Critical Care Societies, was designed to promote postgraduate educational knowledge exchange for physicians, nurses, and others caring for critically ill children worldwide. Description of program development. International multicenter tertiary pediatric critical care units across six continents. Multidisciplinary pediatric critical care providers. A software application, providing information on demand, curricular pathways, and videoconferencing, downloaded to a local computer. In 2010, a survey assessing postgraduate educational needs was distributed through World Federation of Pediatric Intensive and Critical Care Societies to constituent societies. Four hundred and twenty-nine critical care providers from 49 countries responded to the single e-mail survey request. Respondents included 68% physicians and 28% nurses who care for critically ill children. Fifty-two percent of respondents reported accessing the Internet at least weekly to obtain professional educational information. The five highest requests were for educational content on respiratory care [mechanical ventilation] (48% [38%]), sepsis (28%), neurology (25%), cardiology (14%), extracorporeal membrane oxygenation (10%), and ethics (8%). Based on these findings, and in collaboration with researchers in adult learning and online courseware, an application was developed and is currently being used by 770 registered users in 60 countries. We describe here the development and implementation of an Internet-based application which is among the first

  17. Formalizing knowledge on international environmental regimes: A first step towards integrating political science in integrated assessments of global environmental change

    de Vos, M.G.; Janssen, P.H.M.; Kok, M.T.J.; Frantzi, S.; Dellas, E.D.; Pattberg, P.H.; Petersen, A.C.; Biermann, F.

    2013-01-01

    International environmental regimes are considered key factors in dealing with global environmental change problems. It is important to understand if and how regimes are effective in tackling these problems, which requires knowledge on their potential impact on these problems as well as on their

  18. Global Discourses and Power/Knowledge: Theoretical Reflections on Futures of Higher Education during the Rise of Asia

    Geerlings, L. R. C.; Lundberg, A.

    2018-01-01

    This paper re-reads a selection of critical interdisciplinary theories in an attempt to open a space in higher education for cross-cultural dialogue during the rise of Asia. Theories of globalization, deterritorialization, power/knowledge and postcolonialism indicate that students and academics have the ability to re-imagine and influence…

  19. The Global Teaching Profession: How Treating Teachers as Knowledge Workers Improves the Esteem of the Teaching Profession

    Price, Heather E.; Weatherby, Kristen

    2018-01-01

    To better understand the status of the teaching profession, we present a conceptual framework outlining the 4 domains of knowledge-worker professionals: professional benchmarks, professional discretion, room for promotion, and workplace conditions and use the TALIS 2013 survey data to show that these domains exist globally and vary within…

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

    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

  1. Structural design systems using knowledge-based techniques

    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

  2. Knowledge-based simulation using object-oriented programming

    Sidoran, Karen M.

    1993-01-01

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

  3. Ada as an implementation language for knowledge based systems

    Rochowiak, Daniel

    1990-01-01

    Debates about the selection of programming languages often produce cultural collisions that are not easily resolved. This is especially true in the case of Ada and knowledge based programming. The construction of programming tools provides a desirable alternative for resolving the conflict.

  4. Evidence and/or Experience-Based Knowledge in Lifestyle ...

    More precisely, it is argued that what will be “effective” therapy for a person diagnosed as obese cannot be reduced ..... they had come to rely on their experience-based know- ledge. ..... knowledge – “tracking down the best evidence to answer.

  5. Towards an Intelligent Planning Knowledge Base Development Environment

    Chien, S.

    1994-01-01

    ract describes work in developing knowledge base editing and debugging tools for the Multimission VICAR Planner (MVP) system. MVP uses artificial intelligence planning techniques to automatically construct executable complex image processing procedures (using models of the smaller constituent image processing requests made to the JPL Multimission Image Processing Laboratory.

  6. Development of a Knowledge Base for Incorporating Technology into Courses

    Rath, Logan

    2013-01-01

    This article discusses a project resulting from the request of a group of faculty at The College at Brockport to create a website for best practices in teaching and technology. The project evolved into a knowledge base powered by WordPress. Installation and configuration of WordPress resulted in the creation of custom taxonomies and post types,…

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

    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

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

    Pertti Hurme

    2005-01-01

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

  9. Value Creation in the Knowledge-Based Economy

    Liu, Fang-Chun

    2013-01-01

    Effective investment strategies help companies form dynamic core organizational capabilities allowing them to adapt and survive in today's rapidly changing knowledge-based economy. This dissertation investigates three valuation issues that challenge managers with respect to developing business-critical investment strategies that can have…

  10. The Ignorance of the Knowledge-Based Economy. The Iconoclast.

    McMurtry, John

    1996-01-01

    Castigates the supposed "knowledge-based economy" as simply a public relations smokescreen covering up the free market exploitation of people and resources serving corporate interests. Discusses the many ways that private industry, often with government collusion, has controlled or denied dissemination of information to serve its own interests.…

  11. Integrating knowledge based functionality in commercial hospital information systems.

    Müller, M L; Ganslandt, T; Eich, H P; Lang, K; Ohmann, C; Prokosch, H U

    2000-01-01

    Successful integration of knowledge-based functions in the electronic patient record depends on direct and context-sensitive accessibility and availability to clinicians and must suit their workflow. In this paper we describe an exemplary integration of an existing standalone scoring system for acute abdominal pain into two different commercial hospital information systems using Java/Corba technolgy.

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

    Mauldin, Michael; And Others

    1987-01-01

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

  13. Knowledge-based analysis of functional impacts of mutations in ...

    Knowledge-based analysis of functional impacts of mutations in microRNA seed regions. Supplementary figure 1. Summary of predicted miRNA targets from ... All naturally occurred SNPs in seed regions of human miRNAs. The information of the columns is given in the second sheet. Hihly expressed miRNAs are ...

  14. Intelligent assembly time analysis, using a digital knowledge based approach

    Jin, Y.; Curran, R.; Butterfield, J.; Burke, R.; Welch, B.

    2009-01-01

    The implementation of effective time analysis methods fast and accurately in the era of digital manufacturing has become a significant challenge for aerospace manufacturers hoping to build and maintain a competitive advantage. This paper proposes a structure oriented, knowledge-based approach for

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

    Knowledge-based economy not only affects well developed countries but also the performance and possibilities of small economic actors positioned on less developed countries. Micro, small and medium enterprises - characterized by low financial and human capital - are also exposed to the opportunities and risks ...

  16. Knowledge-based society, peer production and the common good

    Orsi, Cosma

    2009-01-01

    This article investigates the societal conditions that might help the establishment of peer-to-peer modes of production. First, the context within which such a new model is emerging - the neoliberal knowledge-based-societies - is described, and its shortcomings unveiled; and second, a robust argu...

  17. Knowledge Based Engineering for Spatial Database Management and Use

    Peuquet, D. (Principal Investigator)

    1984-01-01

    The use of artificial intelligence techniques that are applicable to Geographic Information Systems (GIS) are examined. Questions involving the performance and modification to the database structure, the definition of spectra in quadtree structures and their use in search heuristics, extension of the knowledge base, and learning algorithm concepts are investigated.

  18. Knowledge base, information search and intention to adopt innovation

    Rijnsoever, van F.J.; Castaldi, C.

    2008-01-01

    Innovation is a process that involves searching for new information. This paper builds upon theoretical insights on individual and organizational learning and proposes a knowledge based model of how actors search for information when confronted with innovation. The model takes into account different

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

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

  20. Finding Environmental Knowledge in SCUBA-Based Textual Materials

    Gündogdu, Cemal; Aygün, Yalin; Ilkim, Mehmet

    2018-01-01

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

  1. Employee knowledge of value-based insurance design benefits.

    Henrikson, Nora B; Anderson, Melissa L; Hubbard, Rebecca A; Fishman, Paul; Grossman, David C

    2014-08-01

    Value-based insurance designs (VBD) incorporate evidence-based medicine into health benefit design. Consumer knowledge of new VBD benefits is important to assessing their impact on health care use. To assess knowledge of features of a VBD. The eligible study population was employees receiving healthcare benefits in an integrated care system in the U.S. Pacific Northwest. In 2010, participants completed a web-based survey 2 months after rollout of the plan, including three true/false questions about benefit design features including copays for preventive care visits and chronic disease medications and premium costs. Analysis was completed in 2012. Knowledgeable was defined as correct response to all three questions; self-reported knowledge was also assessed. A total of 3,463 people completed the survey (response rate=71.7%). The majority of respondents were female (80.1%) Caucasians (79.6%) aged 35-64 years (79.0%), reflecting the overall employee population. A total of 45.7% had at least a 4-year college education, and 69.1% were married. About three quarters of respondents correctly answered each individual question; half (52.1%) of respondents answered all three questions correctly. On multivariate analysis, knowledge was independently associated with female gender (OR=1.80, 95% CI=1.40, 2.31); Caucasian race (OR=1.72, 95% CI=1.28, 2.32); increasing household income (OR for ≥$100,000=1.86, 95% CI=1.29, 2.68); nonunion job status (OR compared to union status=1.63, 95% CI=1.17, 2.26); and high satisfaction with the health plan (OR compared to low satisfaction=1.26; 95% CI=1.00, 1.57). Incomplete knowledge of benefits is prevalent in an employee population soon after VBD rollout. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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

    F. Boochs

    2012-07-01

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

  3. Explicit Knowledge-based Reasoning for Visual Question Answering

    Wang, Peng; Wu, Qi; Shen, Chunhua; Hengel, Anton van den; Dick, Anthony

    2015-01-01

    We describe a method for visual question answering which is capable of reasoning about contents of an image on the basis of information extracted from a large-scale knowledge base. The method not only answers natural language questions using concepts not contained in the image, but can provide an explanation of the reasoning by which it developed its answer. The method is capable of answering far more complex questions than the predominant long short-term memory-based approach, and outperform...

  4. A Knowledge-Based Consultant for Financial Marketing

    Kastner, John; Apte, Chidanand; Griesmer, James

    1986-01-01

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

  5. A Case for Embedded Natural Logic for Ontological Knowledge Bases

    Andreasen, Troels; Nilsson, Jørgen Fischer

    2014-01-01

    We argue in favour of adopting a form of natural logic for ontology-structured knowledge bases as an alternative to description logic and rule based languages. Natural logic is a form of logic resembling natural language assertions, unlike description logic. This is essential e.g. in life sciences...... negation in description logic. We embed the natural logic in DATALOG clauses which is to take care of the computational inference in connection with querying...

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

    Badie, Farshad

    2017-01-01

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

  7. Application of knowledge based software to industrial automation in Japan

    Matsumoto, Yoshihiro

    1985-01-01

    In Japan, large industrial undertakings such as electric utilities or steel works are making first steps towards knowledge engineering, testing the applicability of knowledge based software to industrial automation. The goal is to achieve more intelligent, computer-aided assistance for the personnel and thus to enhance safety, reliability, and maintenance efficiency in large industrial plants. The article presents various examples showing advantages and draw-backs of such systems, and potential applications among others in nuclear or fossil fueled power plants or in electricity supply control systems. (orig./HP) [de

  8. Spatial clustering of knowledge-based industries in the Helsinki Metropolitan Area

    Juan Eduardo Chica

    2016-01-01

    Full Text Available The central locations of metropolitan areas have some specific attributes, leading to an accumulation of large knowledge exchanges and extensive knowledge externalities, which encourage the concentration of various economic activities, especially knowledge-based industries (KBI. Other agglomeration economies found in metropolitan areas – such as telecommunications and transport infrastructures connected to global productive circuits and complementary labour markets – are key factors for KBI employment growth. This paper explores the Helsinki Metropolitan Area’s (HMA spatial clustering of KBI at the sub-district level, and the role played by agglomeration economies (both specialization and diversity economies in fostering this process. The results reveal that KBI employment shows patterns of concentration in the core and adjacent areas. The specialization and diversity economies found in the metropolitan core and the specialization economies found in others areas lead to KBI spatial clustering in the HMA. Public policies regarding the promotion of science parks have also played a decisive role.

  9. Challenges to implementing ‘Knowledge based economies’ in the Gulf region

    Hvidt, Martin

    2016-01-01

    The article points out that the Gulf States, due to their ample economic resources, have never been forced to invent or to innovate, but have been able to base their development on learning, imitation or, most prominently, on importing technologies, know-how and manpower already available globall...... populations. The article argues that due to the current state of affairs in relation to innovation and the educational system, the transformation to a Knowledge Economy will be difficult and long........ This has created a type of economy which is strongly dependent on import and thus on incomes from oil and gas. The recent emphasis among the gulf leaders to transform into “Knowledge economies” is an effort to diversify the economies and to create jobs with a high knowledge content for the local...

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

    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.

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

    Diana-Maria CISMARU

    2014-02-01

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

  12. Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases.

    Asheim, B.T.; Boschma, R.A.; Cooke, P.

    2011-01-01

    Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases, Regional Studies. This paper presents a regional innovation policy model based on the idea of constructing regional advantage. This policy model brings together concepts like related

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

    Sinohara, Yasusi; Terano, Takao; Nishiyama, Takuya

    1988-01-01

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

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

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

    2018-04-21

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

  15. THE NECESSITY TO PROMOVION THE MANAGEMENT BASED ON KNOWLEDGE

    Sirbu Mirela

    2008-05-01

    Full Text Available Taking into consideration the current conditions, in which “information is often assimilated with power” the major interest for most organizations stands in collecting the necessary knowledge at a high qualitative level and using it with maximum efficiency, through its materialization into adequate managerial conducts, actions and decisions. Together with the assurance of the material, human resources, both international and financial, the performing organizations are more and more preoccupied by the production, transmitting, usage, depositing and protection of knowledge, especially of the strategic ones, essential for the companies’ development. The information became more and more a resource, a major asset, a main product and at the same time a strategic advantage for organizations, fact that has a significant influence over the content and the way of manifestation of the management, imposing with acuteness the promotion of the management based on knowledge.

  16. Dirt: Integrating Scientific and Local Knowledge to Support Global Land Management

    Okin, G.; Herrick, J.; Bestelmeyer, B.; Hanan, N. P.; Neff, J. C.; Peters, D. P. C.; Sala, O.; Salley, S. W.; Vivoni, E. R.; Wills, S. A.

    2017-12-01

    "Dirt." "It's that elm shade, red rust clay you grew up on - That plowed up ground that your dad damned his luck on." We will draw on the first lines of the chorus from a song by Florida Georgia Line to explain how our collective research can provide insights to help prevent the next Dust Bowl, increase returns on investments in land restoration, and limit nutrient runoff to the Gulf of Mexico. Our presentation will show how we are supporting management decisions in New Mexico, Namibia and Mongolia by integrating NRCS soil survey information with an understanding of soil variability, and landscape patterns and dynamics developed at the Jornada LTER and USDA-ARS research unit, working with and drawing on related research from around the world. We will highlight work identifying wind erosion thresholds based on easily measured changes in vegetation structure. We will also demonstrate how landscape stratification by soils can be used to increase the probability of success of restoration treatments. We will end with a demonstration of a suite of mobile phone apps that are being developed to increase access to scientific knowledge by farmers, policymakers and natural resource managers around the world, and to allow them to contextualize and share their own soil-specific local knowledge. A co-benefit is the use as a crowd-sourcing tool.

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

    Orlando López-Cruz

    2015-12-01

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

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

    Kampf, Constance; Kommers, Piet

    2008-01-01

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

  19. Global Health Education: a cross-sectional study among German medical students to identify needs, deficits and potential benefits (Part 2 of 2: Knowledge gaps and potential benefits).

    Bozorgmehr, Kayvan; Menzel-Severing, Johannes; Schubert, Kirsten; Tinnemann, Peter

    2010-10-08

    In Germany, educational deficits or potential benefits involved in global health education have not been analysed till now. We assess the importance medical students place on learning about social determinants of health (SDH) and assess their knowledge of global health topics in relation to (i) mobility patterns, their education in (ii) tropical medicine or (iii) global health. Cross-sectional study among medical students from all 36 medical schools in Germany using a web-based, semi-structured questionnaire. Participants were recruited via mailing-lists of students' unions, all medical students registered in 2007 were eligible to participate in the study. We captured international mobility patterns, exposure to global health learning opportunities and attitudes to learning about SDH. Both an objective and subjective knowledge assessment were performed. 1126 online-replies were received and analysed. International health electives in developing countries correlated significantly with a higher importance placed on all provided SDH (p ≤ 0.006). Participation in tropical medicine (p educational system' (p = 0.007) and the 'health system structure' (p = 0.007), while the item 'politics' was marginally significant (p = 0.053).In the knowledge assessment students achieved an average score of 3.6 (SD 1.5; Mdn 4.0), 75% achieved a score of 4.0 or less (Q25 = 3.0; Q75 = 4.0) from a maximum achievable score of 8.0. A better performance was associated with international health electives (p = 0.032), participation in tropical medicine (p = 0.038) and global health (p = 0.258) courses. The importance medical students in our sample placed on learning about SDH strongly interacts with students' mobility, and participation in tropical medicine and global health courses. The knowledge assessment revealed deficits and outlined needs to further analyse education gaps in global health. Developing concerted educational interventions aimed at fostering students' engagement with SDH

  20. Leveraging the Power of Knowledge Management to Transform Global Health and Development.

    Sullivan, Tara M; Limaye, Rupali J; Mitchell, Vanessa; D'Adamo, Margaret; Baquet, Zachary

    2015-04-27

    Good knowledge is essential to prevent disease and improve health. Knowledge management (KM) provides a systematic process and tools to promote access to and use of knowledge among health and development practitioners to improve health and development outcomes. KM tools range from publications and resources (briefs, articles, job aids) and products and services (websites, eLearning courses, mobile applications), to training and events (workshops, webinars, meetings) and approaches and techniques (peer assists, coaching, after-action reviews, knowledge cafés).

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

    Crespo, Joan; Vicente, Jérôme

    2016-01-01

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

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

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

    2013-07-01

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

  3. Research on the construction of knowledge base for institutes

    Yang Ru

    2014-01-01

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

  4. Aging management: Control of the knowledge data base

    Schoeckle, F., E-mail: fs@amtec.de [Amtec Services, Hoher Steg 13, 74348 Laufen (Germany); Rothenhoefer, H. [Amtec Services, Hoher Steg 13, 74348 Laufen (Germany); Koenig, G. [EnBW Kernkraft, Kernkraftwerk Neckarwestheim, 74380 Neckarwestheim (Germany)

    2014-04-01

    Aging management is part of the safety management system in NPP Neckarwestheim, Germany. The central goal of aging management is to increase knowledge about aging mechanisms acting on systems, structures and components (SSC), steadily. Comprehensive knowledge is a pre-requisite to guard against aging related systematic failures. To increase knowledge it is necessary to gather and evaluate data of different departments, systematically. While a nuclear power plant is in service numerous events may occur which are related to aging and may have an influence on the quality of SSC. Relevant events may be malfunction, maintenance results, operational experience, results of surveillance or events in other utilities. It is important to evaluate these events concerning the aspect of aging, regularly, and to decide which measures are required to prevent similar unexpected events in the future. In some cases the new experience has to be assigned to comparable SSC. These evaluations and the necessary measures as well as the tracking of their effectiveness are performed by an aging management team that meets every 3 months. The resulting knowledge data base (aging management data base) supports the application of the PDCA cycle and provides an overview and fast access to all quality documents related to each SSC including surveillance measures and results. It simplifies the generation of annual status reports which demonstrate the efficiency of aging management. Finally, the procedure can be extended to SSC which are important for the availability of the plant and thus take a step forward from aging management to plant life management.

  5. Leveraging the Customer Base: Creating Competitive Advantage Through Knowledge Management

    Elie Ofek; Miklos Sarvary

    2001-01-01

    Professional services firms (e.g., consultants, accounting firms, or advertising agencies) generate and sell business solutions to their customers. In doing so, they can leverage the cumulative experience gained from serving their customer base to either reduce their variable costs or increase the quality of their products/services. In other words, their "production technology" exhibits some form of increasing returns to scale. Growth and globalization, coupled with recent advances in informa...

  6. Gender-based abuse: the global epidemic

    Heise Lori

    1994-01-01

    Full Text Available Gender Based violence-including rape, domestic violence, murder and sexual abuse-is a profund health problem for women across the globe. Although a significant cause of female morbidity and mortality, violence against women has only recently begun to be recognized as an issue for public health. This paper draws together existing data on the dimensions of violence against women worldwide and reviews available literature on the health consequences of abuse. It argues that the health sector has an important role to play in combatting violence against women through increased research, screening and referral of victims, and behavioral interventions. Any strategy to confrnt violence must address the root causes of abuse in addition to meeting the immediate needs of victims. This means challenging the social attitudes and beliefs that undergird men's violence and renegotiating the balance of power between women and men at all levels of society.

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

    Christian Reyes

    2007-07-01

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

  8. Global trends in satellite-based emergency mapping

    Voigt, Stefan; Giulio-Tonolo, Fabio; Lyons, Josh; Kučera, Jan; Jones, Brenda; Schneiderhan, Tobias; Platzeck, Gabriel; Kaku, Kazuya; Hazarika, Manzul Kumar; Czaran, Lorant; Li, Suju; Pedersen, Wendi; James, Godstime Kadiri; Proy, Catherine; Muthike, Denis Macharia; Bequignon, Jerome; Guha-Sapir, Debarati

    2016-01-01

    Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia and Europe and follows well the geographic, physical, and temporal distributions of global natural disasters. We present an outlook on the future use of Earth observation technology for disaster response and mitigation by putting past and current developments into context and perspective.

  9. Global Regulatory Differences for Gene- and Cell-Based Therapies

    Coppens, Delphi G M; De Bruin, Marie L; Leufkens, Hubert G M

    2017-01-01

    Gene- and cell-based therapies (GCTs) offer potential new treatment options for unmet medical needs. However, the use of conventional regulatory requirements for medicinal products to approve GCTs may impede patient access and therapeutic innovation. Furthermore, requirements differ between...... jurisdictions, complicating the global regulatory landscape. We provide a comparative overview of regulatory requirements for GCT approval in five jurisdictions and hypothesize on the consequences of the observed global differences on patient access and therapeutic innovation....

  10. Multiprocessor Global Scheduling on Frame-Based DVFS Systems

    Berten, Vandy; Goossens, Joël

    2008-01-01

    International audience; In this work, we are interested in multiprocessor energy efficient systems where task durations are not known in advance but are known stochastically. More precisely we consider global scheduling algorithms for frame-based multiprocessor stochastic DVFS (Dynamic Voltage and Frequency Scaling) systems. Moreover we consider processors with a discrete set of available frequencies. We provide a global scheduling algorithm, and formally show that no deadline will ever be mi...

  11. Attribution d'un financement de base au Global Development ...

    Attribution d'un financement de base au Global Development Network (GDN) - phase II. La Banque mondiale a lancé le Global Development Network (GDN) en 1999 en s'appuyant sur le principe que des recherches bien menées sur les politiques et appliquées comme il se doit peuvent accélérer le processus de ...

  12. New Temperature-based Models for Predicting Global Solar Radiation

    Hassan, Gasser E.; Youssef, M. Elsayed; Mohamed, Zahraa E.; Ali, Mohamed A.; Hanafy, Ahmed A.

    2016-01-01

    Highlights: • New temperature-based models for estimating solar radiation are investigated. • The models are validated against 20-years measured data of global solar radiation. • The new temperature-based model shows the best performance for coastal sites. • The new temperature-based model is more accurate than the sunshine-based models. • The new model is highly applicable with weather temperature forecast techniques. - Abstract: This study presents new ambient-temperature-based models for estimating global solar radiation as alternatives to the widely used sunshine-based models owing to the unavailability of sunshine data at all locations around the world. Seventeen new temperature-based models are established, validated and compared with other three models proposed in the literature (the Annandale, Allen and Goodin models) to estimate the monthly average daily global solar radiation on a horizontal surface. These models are developed using a 20-year measured dataset of global solar radiation for the case study location (Lat. 30°51′N and long. 29°34′E), and then, the general formulae of the newly suggested models are examined for ten different locations around Egypt. Moreover, the local formulae for the models are established and validated for two coastal locations where the general formulae give inaccurate predictions. Mostly common statistical errors are utilized to evaluate the performance of these models and identify the most accurate model. The obtained results show that the local formula for the most accurate new model provides good predictions for global solar radiation at different locations, especially at coastal sites. Moreover, the local and general formulas of the most accurate temperature-based model also perform better than the two most accurate sunshine-based models from the literature. The quick and accurate estimations of the global solar radiation using this approach can be employed in the design and evaluation of performance for

  13. Early childhood development in Africa: interrogating constraints of prevailing knowledge bases.

    Pence, Alan R; Marfo, Kofi

    2008-04-01

    The past two decades have been characterized by renewed attention to the importance of early childhood development (ECD) policies and services in the world's richest and most industrialized countries. During the same period, we have witnessed unprecedented efforts to place ECD policies on the national development planning agenda of the economically less advantaged countries of the Majority World. This paper is premised on the concern that the purposes that have led bilateral and multilateral international agencies to promote and support ECD services in Africa may also be paving the way for uncritical adoption of program and service delivery models grounded in value systems and knowledge bases that may not be appropriate for the continent. We present two critiques to highlight the dangers of ignoring the sociocultural contexts of the knowledge bases that inform ECD policies and practices. We describe one capacity-building effort, under the auspices of the Early Childhood Development Virtual University (ECDVU), to promote culturally relevant knowledge and prepare leadership personnel for Africa's emerging ECD movement. Finally, based on an exercise designed for an ECDVU cohort to engage and reflect on critiques of mainstream research and theorizing on child development, we share insights that are suggestive of the ways in which African perspectives can contribute to and enrich a global knowledge base on child development.

  14. Knowledge and method base for shape memory alloys

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

    2004-05-01

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

  15. NetWeaver for EMDS user guide (version 1.1): a knowledge base development system.

    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...

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

    Kim, Jong Hyun

    1998-02-01

    Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

  17. Radiation protection optimization using a knowledge based methodology

    Reyes-Jimenez, J.; Tsoukalas, L.H.

    1991-01-01

    This paper presents a knowledge based methodology for radiological planning and radiation protection optimization. The cost-benefit methodology described on International Commission of Radiation Protection Report No. 37 is employed within a knowledge based framework for the purpose of optimizing radiation protection and plan maintenance activities while optimizing radiation protection. 1, 2 The methodology is demonstrated through an application to a heating ventilation and air conditioning (HVAC) system. HVAC is used to reduce radioactivity concentration levels in selected contaminated multi-compartment models at nuclear power plants when higher than normal radiation levels are detected. The overall objective is to reduce personnel exposure resulting from airborne radioactivity, when routine or maintenance access is required in contaminated areas. 2 figs, 15 refs

  18. Authoritative knowledge, evidence-based medicine, and behavioral pediatrics.

    Kennell, J H

    1999-12-01

    Evidence-based medicine is the conscientious and judicious use of current best knowledge in making decisions about the care of individual patients, often from well-designed, randomized, controlled trials. Authoritative medicine is the traditional approach to learning and practicing medicine, but no one authority has comprehensive scientific knowledge. Archie Cochrane proposed that every medical specialty should compile a list of all of the randomized, controlled trials within its field to be available for those who wish to know what treatments are effective. This was done first for obstetrics by a group collecting and critically analyzing all of the randomized trials and then indicating procedures every mother should have and those that no mother should have. Support during labor was used as an example. Similar groups are now active in almost all specialties, with information available on the Internet in the Cochrane Database of Systematic Reviews. Developmental-behavioral pediatrics should be part of this movement to evidence-based medicine.

  19. Distance learning, problem based learning and dynamic knowledge networks.

    Giani, U; Martone, P

    1998-06-01

    This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive process aimed at connecting different concepts in a network of mutually supporting concepts. Moreover, this process is supposed to be the result of a social interaction that has to be facilitated by the web. The model was tested by creating a virtual classroom of medical and nursing students and activating a learning session on the concept of knowledge representation in health sciences.

  20. Integrated Knowledge Based Expert System for Disease Diagnosis System

    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.

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

    Guangdong Wu

    2013-09-01

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

  2. Institutional Learning and Knowledge Transfer Across Epistemic Communities New Tools of Global Governance

    Carayannis, Elias G; Popescu, Denisa

    2012-01-01

    Over the past several decades, as the pace of globalization has accelerated, operational issues of international coordination have often been overlooked.  For example, the global financial crisis that began in 2007 is attributed, in part, to a lack of regulatory oversight.  As a result, supranational organizations, such as the G-20, the World Bank, and the International Monetary Fund, have prioritized strengthening of the international financial architecture and providing opportunities for dialogue on national policies, international co-operation, and international financial institutions. Prevailing characteristics of the global economic systems, such as the increasing power of financial institutions, changes in the structure of global production, decline in the authority of nation-states over their national economy, and  creation of global institutional setting, e.g., global governance have created the conditions for a naturally evolving process towards enabling national epistemic communities to create in...

  3. A Comparative Analysis of New Governance Instruments in the Transnational Educational Space: A Shift to Knowledge-Based Instruments?

    Ioannidou, Alexandra

    2007-01-01

    In recent years, the ongoing development towards a knowledge-based society--associated with globalization, an aging population, new technologies and organizational changes--has led to a more intensive analysis of education and learning throughout life with regard to quantitative, qualitative and financial aspects. In this framework, education…

  4. Transformative Pedagogy, Leadership and School Organisation for the Twenty-First-Century Knowledge-Based Economy: The Case of Singapore

    Dimmock, Clive; Goh, Jonathan W. P.

    2011-01-01

    Singapore has a high performing school system; its students top international tests in maths and science. Yet while the Singapore government cherishes its world class "brand", it realises that in a globally competitive world, its schools need to prepare students for the twenty-first-century knowledge-based economy (KBE). Accordingly,…

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

    Tecuci, Gheorghe

    2000-01-01

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

  6. Knowledge based operation assist system for JAERI AVF cyclotron

    Agematsu, T.; Okumura, S.; Yokota, W.; Arakawa, K.; Murakami, T.; Okamura, T.

    1992-01-01

    We have developed two operation assist systems for easy and rapid operation of the JAERI AVF cyclotron. One is a knowledge based expert system guiding the sequence of parameter adjustment to inexperienced cyclotron operators. The other is a real-time simulation of the beam trajectories which are calculated from actual operating parameters. It graphically indicates feasible setting range of parameters that satisfies the acceptance of the cyclotron. These systems provide a human interface to adjust the parameters of the cyclotron. (author)

  7. Knowledge Based Components of Expertise in Medical Diagnosis.

    1981-09-01

    the ability to ac- cess and use knowledge that one "has" is situationally dependent (e.g., Melton, 1963)1 Tulving and Pearlstone , 1966). For example...Londons Wiley, 1976. Tulving , E., & Pearlstone , E. Availability versus accessibility of information in memory for words. Journal of Verbal Learning...encounter (c.f.Flexser’and Tulving , 19781 Tulving ., 1976). Expert-based instructional devices (computer assisted instruction or decision support sys

  8. Wikipedia Infobox Temporal RDF Knowledge Base and Indices

    Song, Aige

    2015-01-01

    As real world evolves, Infoboxes for Wikipedia subjects are updated to reflect the information changes in the real world, and there is a growing interest in the evolution history of subjects in the Wikipedia. Thus, the management of historical information and the efficiencies of queries for these temporal information have become the major concern. In this paper, we introduce the Wikipedia Infobox temporal RDF knowledge base that constructed from the Wikipedia Infobox history dump, and evaluat...

  9. Knowledge-based View in the Franchising Research Literature

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

    2017-01-01

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

  10. Of tacit knowledge, texts and thing-based learning (TBL).

    Rangachari, P K

    2008-09-01

    Practical knowledge has two dimensions- a visible, codified component that resembles the tip of an iceberg. The larger but crucial tacit component which lies submerged consists of values, procedures and tricks of the trade and cannot be easily documented or codified. Undergraduate science students were given an opportunity to explore this component through an inquiry-based course. Copyright © 2008 International Union of Biochemistry and Molecular Biology, Inc.

  11. Quality Management in the Knowledge Based Economy – Kaizen Method

    Popa Liliana Viorica

    2010-01-01

    In the knowledge based economy, organisations are influenced by the quality movement, Kaizen, which plays a strategic role for optimization of organizational capabilities of managers as well as of all the employees. Kaizen represents the philosophy of continuous improvement, until the economic activities inside the organisation reach zero deficiencies. In order to implement in a proper manner Kaizen into the organization, managers must decide what to improve, why to improve, who shall improve...

  12. USE OF ONTOLOGIES FOR KNOWLEDGE BASES CREATION TUTORING COMPUTER SYSTEMS

    Cheremisina Lyubov

    2014-01-01

    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 s...

  13. Ontology-Based Knowledge Organization for the Radiograph Images Segmentation

    MATEI, O.

    2008-04-01

    Full Text Available The quantity of thoracic radiographies in the medical field is ever growing. An automated system for segmenting the images would help doctors enormously. Some approaches are knowledge-based; therefore we propose here an ontology for this purpose. Thus it is machine oriented, rather than human-oriented. That is all the structures visible on a thoracic image are described from a technical point of view.

  14. KNOWLEDGE AND INFORMATION – NEW FACTORS OF PRODUCTION IN THE CONTEXT OF GLOBALIZATION

    Mirela Alina COCALIA (CRĂCIUN

    2015-02-01

    Full Text Available The present article has as a starting point the phenomenon of globalization, so debated worldwide today. Along this work, we have tried offer a departure point, motivated of what the phenomenon of globalization means in economical context. Thus, we debate problems of major interest like: acceptances of the word “globalization”, multiple influences exerted by globalization over the proper nations and the way in which the specific economical and geographic area is marked by the phenomenon of globalization in the same time.

  15. Knowledge-based computer systems for radiotherapy planning.

    Kalet, I J; Paluszynski, W

    1990-08-01

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

  16. Knowledge-based processing for aircraft flight control

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

    1994-01-01

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

  17. Knowledge-based system for automatic MBR control.

    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

  18. Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases

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

    2013-01-01

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

  19. A Knowledge-based Environment for Software Process Performance Analysis

    Natália Chaves Lessa Schots

    2015-08-01

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

  20. Broadcasting environmental knowledge: Open University & BBC collaborations serving massive global audiences

    Brandon, M. A.; Smith, J.; Garrow, K. H.; Law, A.

    2013-12-01

    The UK Open University has a long history of working with broadcast media - indeed before it first formed over 40 years ago it was proposed to be a "University of the Air ". Originally the University made its own television programmes that were directly connected with teaching. They were usually recordings of academics giving lectures that were broadcast late at night. Over recent times we have moved into developing co-productions with mainstream broadcast media specifically designed to be of general educational interest to UK and worldwide audiences. These include both high impact one-off programmes such as Are we changing planet Earth?, multiple international award winning series such as Frozen Planet, and World Service radio such as Earth Reporters. These programmes have had global audiences; in some cases of tens of millions. Whilst we have only worked using clear scientific evidence and expertise, we have co-produced media which small sections of the general public could consider controversial. For example, in Are we changing planet Earth? the case was presented pre IPCC AR4 for anthropogenic climate change. The final episode of Frozen Planet "On thin ice" presented evidence of how the polar climate is changing and likely future global impacts. It created a large and occasionally hostile international media impact long before broadcast. This continued after broadcast in some media but we believe it stopped because the science presented was robust within the current literature. Based around broadcasting, we used a communication strategy based on our personal experience over the last decade along with our institutional experience going back 40 years. For example our outreach include social media, newspapers, radio and podcasts to speak about underpinning science. We use Twitter during actual broadcasts to circulate links to journal articles and provide context around the science presented on screen. Backed up by a large public outreach campaign at science fairs