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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

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.

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

DEFF Research Database (Denmark)

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...

Globalization and Self-Organization in the Knowledge-Based Society

Directory of Open Access Journals (Sweden)

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

Knowledge capabilities for sustainable development in global classrooms - local challenges

Directory of Open Access Journals (Sweden)

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.

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

DEFF Research Database (Denmark)

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...

Knowledge Based Health

OpenAIRE

Sasson, Amir

2011-01-01

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

Global Education Greenhouse: Constructing and Organizing Online Global Knowledge

NARCIS (Netherlands)

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

Sustainability in China: Bridging Global Knowledge with Local Action

Directory of Open Access Journals (Sweden)

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

Knowledge and networks – key sources of power in global health

Science.gov (United States)

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

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

CERN Document Server

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...

Management of technical knowledge in strengthening the global nuclear safety regime

International Nuclear Information System (INIS)

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)

Orchestration of Globally Distributed Knowledge for Innovation in Multinational Companies

DEFF Research Database (Denmark)

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...

Scientific publications in XML - towards a global knowledge base

Directory of Open Access Journals (Sweden)

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.

Globalization And Knowledge Management In Projects

Directory of Open Access Journals (Sweden)

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.

Global Warming: Knowledge and Views of Iranian Students

Directory of Open Access Journals (Sweden)

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.

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

African Journals Online (AJOL)

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.

Knowledge in Development: Epistemic Machineries in a Global Context

Science.gov (United States)

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…

Global warming: knowledge and views of Iranian students.

Science.gov (United States)

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.

Global property rights. The Kyoto protocol and the knowledge revolution

International Nuclear Information System (INIS)

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

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

DEFF Research Database (Denmark)

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...

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

NARCIS (Netherlands)

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,

Knowledge based economy: The role of expert diaspora

Directory of Open Access Journals (Sweden)

Filipović Jovan

2012-01-01

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

Implementation of knowledge-based engineering methodology in hydraulic generator design

Directory of Open Access Journals (Sweden)

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.

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

DEFF Research Database (Denmark)

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...

A Knowledge-based Recommendation Framework using SVN Numbers

Directory of Open Access Journals (Sweden)

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.

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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

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.

Developing and Deploying Knowledge on a Global Scale

OpenAIRE

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...

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

Science.gov (United States)

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.

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

Science.gov (United States)

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.

EVALUATING HUMAN CAPITAL IN A KNOWLEDGE – BASED APPROACH

Directory of Open Access Journals (Sweden)

Emanoil MUSCALU

2014-04-01

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

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

International Nuclear Information System (INIS)

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

Global and local knowledge networks in innovation

DEFF Research Database (Denmark)

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....

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

Science.gov (United States)

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.

Knowledge base mechanisms

Energy Technology Data Exchange (ETDEWEB)

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

1982-01-01

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

Establishing Shared Knowledge about Globalization in Asia and the Arctic

DEFF Research Database (Denmark)

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....

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

NARCIS (Netherlands)

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

Assessing the Future Directions of Global Knowledge Partnership ...

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

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.

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

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

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.

3cixty: Building comprehensive knowledge bases for city exploration

OpenAIRE

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...

Anthropology, knowledge-flows and global health.

Science.gov (United States)

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.

Globalization and loss of plant knowledge: challenging the paradigm.

Science.gov (United States)

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.

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

Science.gov (United States)

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.

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

NARCIS (Netherlands)

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

Knowledge discovery based on experiential learning corporate culture management

Science.gov (United States)

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.

Globalization and Loss of Plant Knowledge: Challenging the Paradigm

Science.gov (United States)

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

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

International Nuclear Information System (INIS)

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)

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

Energy Technology Data Exchange (ETDEWEB)

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)

Assessing the Cost of Global Biodiversity and Conservation Knowledge.

Directory of Open Access Journals (Sweden)

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

Assessing the Cost of Global Biodiversity and Conservation Knowledge.

Science.gov (United States)

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

A knowledge based system for plant diagnosis

International Nuclear Information System (INIS)

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

1984-01-01

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

Knowledge Management – the Key Resource in the Knowledge Economy

Directory of Open Access Journals (Sweden)

Domingo NEVADO PEÑA

2010-06-01

Full Text Available The influence of global information and communication technology changes and globalization have transformed our society by favoring the economy and innovation as key driver of global competition. Creation and exploitation of knowledge has become key resource in the new economy. All advanced economies are technologically knowledgebased economy. Many of today's managers and their employees, still guided by the definition given by Francis Bacon (1597 “Knowledge is power” instead of “sharing and managing knowledge is power”. Knowing taken alone may not bring value if not shared before and then managed in an efficient manner. This article seeks to demonstrate what knowledge, what the knowledge management is and what are its main implications in the new economy, a knowledge-based economy.

Local Knowledge and Community–Based Assessment of ...

African Journals Online (AJOL)

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 ...

Role of Knowledge Based Communities in Knowledge Process

Directory of Open Access Journals (Sweden)

Sebastian Ion CEPTUREANU

2015-12-01

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

Examining Collaborative Knowledge Construction in Microblogging-Based Learning Environments

Directory of Open Access Journals (Sweden)

Tian Luo

2017-09-01

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

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

Directory of Open Access Journals (Sweden)

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.

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

African Journals Online (AJOL)

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

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

Science.gov (United States)

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…

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

NARCIS (Netherlands)

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

THE ROLE OF INTELLECTUAL CAPITAL IN KNOWLEDGE - BASED SOCIETY

Directory of Open Access Journals (Sweden)

Denisa-Elena Parpandel

2013-01-01

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

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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

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.

KNOWLEDGE SOCIETY, GENERAL FRAMEWORK FOR KNOWLEDGE BASED ECONOMY

Directory of Open Access Journals (Sweden)

Dragos CRISTEA

2011-03-01

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

Knowledge-based utility

International Nuclear Information System (INIS)

Chwalowski, M.

1997-01-01

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

A collaborative filtering-based approach to biomedical knowledge discovery.

Science.gov (United States)

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

2018-02-15

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

Knowledge-based metals & materials

OpenAIRE

Sasson, Amir

2011-01-01

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

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

Science.gov (United States)

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

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

Directory of Open Access Journals (Sweden)

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.

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

Energy Technology Data Exchange (ETDEWEB)

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.

The knowledge base of journalism

DEFF Research Database (Denmark)

Svith, Flemming

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

Knowledge Acquisition Using Linguistic-Based Knowledge Analysis

Science.gov (United States)

Daniel L. Schmoldt

1998-01-01

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

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

Directory of Open Access Journals (Sweden)

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.

Foundation: Transforming data bases into knowledge bases

Science.gov (United States)

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

1987-01-01

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

Knowledge representation and knowledge base design for operator advisor system

International Nuclear Information System (INIS)

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

1990-01-01

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

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

Science.gov (United States)

Genuardi, Michael T.

1993-01-01

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

Knowledge Sharing Across Global-Local Boundaries

DEFF Research Database (Denmark)

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....

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

Science.gov (United States)

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

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

Directory of Open Access Journals (Sweden)

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.

Fuzzy knowledge bases integration based on ontology

OpenAIRE

Ternovoy, Maksym; Shtogrina, Olena

2012-01-01

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

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

International Nuclear Information System (INIS)

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

A knowledge base architecture for distributed knowledge agents

Science.gov (United States)

Riedesel, Joel; Walls, Bryan

1990-01-01

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

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

NARCIS (Netherlands)

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

Collaboration in Global Software Engineering Based on Process Description Integration

Science.gov (United States)

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.

Logically automorphically equivalent knowledge bases

OpenAIRE

Aladova, Elena; Plotkin, Tatjana

2017-01-01

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

Orchestration of Globally Distributed Knowledge within MNC Network

DEFF Research Database (Denmark)

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...

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

Science.gov (United States)

Chordnork, Boonliang; Yuenyong, Chokchai

2018-01-01

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

Knowledge based maintenance

Energy Technology Data Exchange (ETDEWEB)

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

1998-12-31

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

Knowledge based maintenance

Energy Technology Data Exchange (ETDEWEB)

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

1997-12-31

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

Global contrast based salient region detection

KAUST Repository

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.

Global contrast based salient region detection

KAUST Repository

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.

Knowledge base verification based on enhanced colored petri net

Energy Technology Data Exchange (ETDEWEB)

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

1998-12-31

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

Knowledge base verification based on enhanced colored petri net

Energy Technology Data Exchange (ETDEWEB)

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

1997-12-31

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

Distributed, cooperating knowledge-based systems

Science.gov (United States)

Truszkowski, Walt

1991-01-01

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

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

Science.gov (United States)

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.

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

Science.gov (United States)

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

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

Science.gov (United States)

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

2016-12-01

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

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

OpenAIRE

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...

Global Journalism Ethics: Widening the Conceptual Base

Directory of Open Access Journals (Sweden)

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.

Community-based knowledge translation: unexplored opportunities

Directory of Open Access Journals (Sweden)

Armstrong Rebecca

2011-06-01

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

Machine intelligence and knowledge bases

Energy Technology Data Exchange (ETDEWEB)

Furukawa, K

1981-09-01

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

Early childhood development in Africa: interrogating constraints of prevailing knowledge bases.

Science.gov (United States)

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.

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

DEFF Research Database (Denmark)

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...

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

Science.gov (United States)

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…

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

Science.gov (United States)

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…

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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

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.

Model-based synthesis of locally contingent responses to global market signals

Science.gov (United States)

Magliocca, N. R.

2015-12-01

Rural livelihoods and the land systems on which they depend are increasingly influenced by distant markets through economic globalization. Place-based analyses of land and livelihood system sustainability must then consider both proximate and distant influences on local decision-making. Thus, advancing land change theory in the context of economic globalization calls for a systematic understanding of the general processes as well as local contingencies shaping local responses to global signals. Synthesis of insights from place-based case studies of land and livelihood change is a path forward for developing such systematic knowledge. This paper introduces a model-based synthesis approach to investigating the influence of local socio-environmental and agent-level factors in mediating land-use and livelihood responses to changing global market signals. A generalized agent-based modeling framework is applied to six case-study sites that differ in environmental conditions, market access and influence, and livelihood settings. The largest modeled land conversions and livelihood transitions to market-oriented production occurred in sties with relatively productive agricultural land and/or with limited livelihood options. Experimental shifts in the distributions of agents' risk tolerances generally acted to attenuate or amplify responses to changes in global market signals. Importantly, however, responses of agents at different points in the risk tolerance distribution varied widely, with the wealth gap growing wider between agents with higher or lower risk tolerance. These results demonstrate model-based synthesis is a promising approach to overcome many of the challenges of current synthesis methods in land change science, and to identify generalized as well as locally contingent responses to global market signals.

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

DEFF Research Database (Denmark)

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...

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

Directory of Open Access Journals (Sweden)

Karlheinz Kautz

2003-01-01

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

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

Science.gov (United States)

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…

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

Science.gov (United States)

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.

Structure of the knowledge base for an expert labeling system

Science.gov (United States)

Rajaram, N. S.

1981-01-01

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

Knowledge Based Oil and Gas Industry

OpenAIRE

Sasson, Amir; Blomgren, Atle

2011-01-01

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

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

Science.gov (United States)

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.

Knowledge Based Economy Assessment

OpenAIRE

Madalina Cristina Tocan

2012-01-01

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

Knowledge Base Editor (SharpKBE)

Science.gov (United States)

Tikidjian, Raffi; James, Mark; Mackey, Ryan

2007-01-01

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

Understanding images using knowledge based approach

International Nuclear Information System (INIS)

Tascini, G.

1985-01-01

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

Knowledge Based Oil and Gas Industry

Energy Technology Data Exchange (ETDEWEB)

Sasson, Amir; Blomgren, Atle

2011-07-01

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

When Globalization Hits Home

DEFF Research Database (Denmark)

Borrás, Susana; Haakonsson, Stine Jessen

Lead firms are increasingly reorganizing their innovation activities into global innovation networks. Such reorganization has potentially major impact on their existing home-based innovation networks. Based on 31 interviews in four case studies of lead firms in the Danish food industry, the paper...... analyzes the dynamics of five key features of home-based innovation networks: 1) size of the national networks, 2) type of organization, 3) content of collaboration within the network, 4) concurrent globalization of organizations in the network, and 5) degree of formalization of network interactions....... The dynamics are generally differentiated according to the type of lead firm strategy, i.e. knowledge augmenting or knowledge exploiting. The qualitative and exploratory findings point towards some effects on national innovation networks. Hence, the paper concludes by hypothesizing that the globalization...

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

Directory of Open Access Journals (Sweden)

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.

Re-making the global economy of knowledge: do new fields of research change the structure of North-South relations?

Science.gov (United States)

Connell, Raewyn; Pearse, Rebecca; Collyer, Fran; Maia, João; Morrell, Robert

2017-08-17

How is global-North predominance in the making of organized knowledge affected by the rise of new domains of research? This question is examined empirically in three interdisciplinary areas - climate change, HIV-AIDS, and gender studies - through interviews with 70 researchers in Southern-tier countries Brazil, South Africa and Australia. The study found that the centrality of the North was reinstituted as these domains came into existence, through resource inequalities, workforce mechanisms, and intellectual framing. Yet there are tensions in the global economy of knowledge, around workforce formation, hierarchies of disciplines, neoliberal management strategies, and mismatches with social need. Intellectual workers in the Southern tier have built significant research centres, workforces and some distinctive knowledge projects. These create wider possibilities of change in the global structure of organized knowledge production. © London School of Economics and Political Science 2017.

Reusing Design Knowledge Based on Design Cases and Knowledge Map

Science.gov (United States)

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

2013-01-01

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

Automated knowledge-base refinement

Science.gov (United States)

Mooney, Raymond J.

1994-01-01

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

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

Science.gov (United States)

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

2017-01-01

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

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Directory of Open Access Journals (Sweden)

Chunhua Li

2017-01-01

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

Self-perception and knowledge of evidence based medicine by physicians.

Science.gov (United States)

Aguirre-Raya, Karen A; Castilla-Peón, María F; Barajas-Nava, Leticia A; Torres-Rodríguez, Violeta; Muñoz-Hernández, Onofre; Garduño-Espinosa, Juan

2016-06-29

The influence, legitimacy and application of Evidence Based Medicine (EBM) in the world is growing as a tool that integrates, the best available evidence to decision making in patient care. Our goal was to identify the relationship between self-perception about the relevance of Evidence Based Medicine (EBM) and the degree of basic knowledge of this discipline in a group of physicians. A survey was carried out in a third level public hospital in Mexico City. Self-perception was measured by means of a structured scale, and the degree of knowledge through parameter or "rubrics" methodology. A total of 320 questionnaires were given to 55 medical students (17 %); 45 pre-graduate medical interns (14 %); 118 medical residents (37 %) and 102 appointed physicians of different specialties (32 %). Self-perception of EBM: The majority of those surveyed (n = 274, 86 %) declared that they were very or moderately familiar with EBM. The great majority (n = 270, 84 %) believe that EBM is very important in clinical practice and 197 physicians (61 %) said that they implement it always or usually. The global index of self-perception was 75 %. Knowledge of EBM: Definition of EBM; Seven of those surveyed (2 %) included 3 of the 4 characteristics of the definition, 82 (26 %) mentioned only two characteristics of the definition, 152 (48 %) mentioned only one characteristic and 79 (25 %) did not include any characteristic of EBM. Phases of the EBM process: The majority of those surveyed (n = 218, 68 %) did not include the steps that characterize the practice of EBM, of which 79 participants (25 %) mentioned elements not related to it. The global index of knowledge was 19 %. The majority of the surveyed physicians have a high self-perception of the relevance of EBM. In spite of this, the majority of them did not know the characteristics that define the EBM and phases of the process for its practice. A major discrepancy was found between self-perception and the

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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

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.

XML-Based SHINE Knowledge Base Interchange Language

Science.gov (United States)

James, Mark; Mackey, Ryan; Tikidjian, Raffi

2008-01-01

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

Current trends on knowledge-based systems

CERN Document Server

Valencia-García, Rafael

2017-01-01

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

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

Science.gov (United States)

Pulaski, Kirt; Casadaban, Cyprian

1988-01-01

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

Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks

International Nuclear Information System (INIS)

Kharrazi, Ali; Sato, Masahiro; Yarime, Masaru; Nakayama, Hirofumi; Yu, Yadong; Kraines, Steven

2015-01-01

Energy is a critical component of achieving sustainable development. In addition to the three aspects of promoting access, renewables, and efficiency, the dimension of resilience in energy systems should also considered. The implementation of resilient energy systems requires a quantitative understanding of the socio-economic practices underlying such systems. Specifically, in line with the increasing globalization of trade, there remains a critical knowledge gap on the link between embodied energy in the production and consumption of traded goods. To bridge this knowledge gap, we investigate the resilience of global energy systems through an examination of a diversity measure of global embodied electricity trade based on multi-regional input-output (MRIO) networks. The significance of this research lies in its ability to utilize high resolution MRIO data sets in assessing the resilience of national energy systems. This research indicates that secure and responsible consumption requires the diversification of not only energy generation but also energy imports. This research will lay the ground for further research in the governance of resilience in global energy networks. - Highlights: • We examine the resilience of global embodied energy based on (MRIO) trade networks. • We propose a secure and responsible mode of thinking for national energy consumption. • Secure & responsible consumption requires diversity in energy generation and imports.

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

Directory of Open Access Journals (Sweden)

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.

Asset-Based Community Development as a Strategy for Developing Local Global Health Curricula.

Science.gov (United States)

Webber, Sarah; Butteris, Sabrina M; Houser, Laura; Coller, Karen; Coller, Ryan J

2018-02-07

A significant and growing proportion of US children have immigrant parents, an issue of increasing importance to pediatricians. Training globally minded pediatric residents to address health inequities related to globalization is an important reason to expand educational strategies around local global health (LGH). We developed a curriculum in the pediatric global health residency track at the University of Wisconsin in an effort to address gaps in LGH education and to increase resident knowledge about local health disparities for global community members. This curriculum was founded in asset-based community development (ABCD), a strategy used in advocacy training but not reported in global health education. The initial curriculum outputs have provided the foundation for a longitudinal LGH curriculum and a community-academic partnership. Supported by a community partnership grant, this partnership is focused on establishing a community-based postpartum support group for local Latinos, with an emphasis on building capacity in the Latino community. Aspects of this curriculum can serve other programs looking to develop LGH curricula rooted in building local partnerships and capacity using an ABCD model. Copyright © 2018 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Validation Of Critical Knowledge-Based Systems

Science.gov (United States)

Duke, Eugene L.

1992-01-01

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

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

Science.gov (United States)

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,…

Exchanging Description Logic Knowledge Bases

NARCIS (Netherlands)

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

2012-01-01

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

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

Science.gov (United States)

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.

Querying Natural Logic Knowledge Bases

DEFF Research Database (Denmark)

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

2017-01-01

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

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

Directory of Open Access Journals (Sweden)

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.

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

Directory of Open Access Journals (Sweden)

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.

Object-based classification of global undersea topography and geomorphological features from the SRTM30_PLUS data

Science.gov (United States)

Dekavalla, Maria; Argialas, Demetre

2017-07-01

The analysis of undersea topography and geomorphological features provides necessary information to related disciplines and many applications. The development of an automated knowledge-based classification approach of undersea topography and geomorphological features is challenging due to their multi-scale nature. The aim of the study is to develop and evaluate an automated knowledge-based OBIA approach to: i) decompose the global undersea topography to multi-scale regions of distinct morphometric properties, and ii) assign the derived regions to characteristic geomorphological features. First, the global undersea topography was decomposed through the SRTM30_PLUS bathymetry data to the so-called morphometric objects of discrete morphometric properties and spatial scales defined by data-driven methods (local variance graphs and nested means) and multi-scale analysis. The derived morphometric objects were combined with additional relative topographic position information computed with a self-adaptive pattern recognition method (geomorphons), and auxiliary data and were assigned to characteristic undersea geomorphological feature classes through a knowledge base, developed from standard definitions. The decomposition of the SRTM30_PLUS data to morphometric objects was considered successful for the requirements of maximizing intra-object and inter-object heterogeneity, based on the near zero values of the Moran's I and the low values of the weighted variance index. The knowledge-based classification approach was tested for its transferability in six case studies of various tectonic settings and achieved the efficient extraction of 11 undersea geomorphological feature classes. The classification results for the six case studies were compared with the digital global seafloor geomorphic features map (GSFM). The 11 undersea feature classes and their producer's accuracies in respect to the GSFM relevant areas were Basin (95%), Continental Shelf (94.9%), Trough (88

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

OpenAIRE

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

2017-01-01

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

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

International Nuclear Information System (INIS)

Hossain, M. D.; Sultana, T.

2016-01-01

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

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

Science.gov (United States)

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…

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

Directory of Open Access Journals (Sweden)

GUSTAVO B.F. OLIVEIRA

2015-08-01

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

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

International Nuclear Information System (INIS)

Sinohara, Yasusi; Terano, Takao; Nishiyama, Takuya

1988-01-01

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

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

Directory of Open Access Journals (Sweden)

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.

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

Science.gov (United States)

1989-08-01

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

Health Care Leadership: Managing Knowledge Bases as Stakeholders.

Science.gov (United States)

Rotarius, Timothy

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

Image-based querying of urban knowledge databases

Science.gov (United States)

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.

Knowledge based Entrepreneurship

DEFF Research Database (Denmark)

Heebøll, John

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

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

Science.gov (United States)

Lambright, Jonathan Paul

1996-01-01

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

Cultural and Rhetorical Bases for communicating knowledge in web based communities

DEFF Research Database (Denmark)

Kampf, Constance; Kommers, Piet

2008-01-01

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

Knowledge management method for knowledge based BWR Core Operation Management System

Energy Technology Data Exchange (ETDEWEB)

Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

1989-03-01

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

Knowledge management method for knowledge based BWR Core Operation Management System

International Nuclear Information System (INIS)

Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

1989-01-01

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

Automated knowledge base development from CAD/CAE databases

Science.gov (United States)

Wright, R. Glenn; Blanchard, Mary

1988-01-01

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

Experiencing Global Culture in Vatel

DEFF Research Database (Denmark)

Kampf, Constance Elizabeth; Broillet, Alexandra; John, Claudette

2015-01-01

To explore the meaning of “global culture” in a professional communication context, this paper explores the “unsettled” global culture of Vatel, a private business school educating students from nearly 50 different countries for the hospitality industry. This paper explores the role of knowledge...... management in understanding global culture, arguing that the notion of “unsettled” cultures demonstrates how ideologies function in global settings and draw on national “settled” cultural resources. In unpacking different aspects of Vatel's culture this paper questions assumptions built into cultural frames...... of reference by offering a global culture frame, drawing on cultural resources from country based “settled” cultural contexts, and reflects on how global cultural contexts can benefit from a knowledge management approach to this dynamic between “settled” cultural contexts and “unsettled” cultural ideologies...

Factors Impacting Knowledge Sharing

DEFF Research Database (Denmark)

Schulzmann, David; Slepniov, Dmitrij

The purpose of this paper is to examine various factors affecting knowledge sharing at the R&D center of a Western MNE in China. The paper employs qualitative methodology and is based on the action research and case study research techniques. The findings of the paper advance our understanding...... about factors that affect knowledge sharing. The main emphasis is given to the discussion on how to improve knowledge sharing in global R&D organizations....

Knowledge-based development in Singapore and Malaysia

OpenAIRE

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

2009-01-01

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

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

Science.gov (United States)

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.

Heroes of the knowledge economy

DEFF Research Database (Denmark)

Ørberg, Jakob Williams

they themselves envisage their futures. The thesis looks behind the mirror cabinet of policy making and aims to better grasp the work and personal investments of Indian youth in creating the imaginaries we rely on globally, when we envision the global knowledge economy. The thesis is as such an account......The Indian engineering student has both nationally and globally come to symbolize the advent of a global knowledge economy. Indian engineering students are depicted in policy documents and popular media as important protagonists that will take India into the this promising future. This thesis...... is a study of these Indian ‘heroes’. It is based on ethnographic fieldwork in an iconic site for their production, the top Indian engineering university, the Indian Institute of Technology Delhi, and it aims to understand how students engage in the creation of both their own and national – even global...

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

Directory of Open Access Journals (Sweden)

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

An Algebraic Approach to Knowledge Bases Informational Equivalence

OpenAIRE

Plotkin, B.; Plotkin, T.

2003-01-01

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

Knowledge Sharing in Knowledge-Intensive Firms

DEFF Research Database (Denmark)

Gupta, Akshey; Michailova, Snejina

2004-01-01

This paper is a study of the knowledge-sharing difficulties experienced by three departments in a knowledge-intensive firm. The case organization is a global consulting firm that has been on the forefront of knowledge management and has won several knowledge management related international accla...

Tools for the Knowledge-Based Organization

DEFF Research Database (Denmark)

Ravn, Ib

2002-01-01

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

Scientometric trends and knowledge maps of global health systems research.

Science.gov (United States)

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

2014-06-05

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

KNOWLEDGE AND XML BASED CAPP SYSTEM

Institute of Scientific and Technical Information of China (English)

ZHANG Shijie; SONG Laigang

2006-01-01

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

Adaptive Knowledge Management of Project-Based Learning

Science.gov (United States)

Tilchin, Oleg; Kittany, Mohamed

2016-01-01

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

Monitoring Knowledge Base (MKB)

Data.gov (United States)

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

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

Energy Technology Data Exchange (ETDEWEB)

Koenig, E C

1982-01-01

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

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

Science.gov (United States)

Rahimian, Eric N.; Graves, Sara J.

1988-01-01

A new approach used in constructing a rational data knowledge base system is described. The relational database is well suited for distribution due to its property of allowing data fragmentation and fragmentation transparency. An example is formulated of a simple relational data knowledge base which may be generalized for use in developing a relational distributed data knowledge base system. The efficiency and ease of application of such a data knowledge base management system is briefly discussed. Also discussed are the potentials of the developed model for sharing the data knowledge base as well as the possible areas of difficulty in implementing the relational data knowledge base management system.

Tacit Knowledge Transfer through Global Narratives

NARCIS (Netherlands)

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

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

National Research Council Canada - National Science Library

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...

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).

Science.gov (United States)

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

Sharing knowledge

Energy Technology Data Exchange (ETDEWEB)

2009-07-01

The workshop on Climate Change Impacts and Adaptation Strategies for Arctic Indigenous Communities is one stage in developing positions and providing input from the perspectives of Arctic Peoples in preparation for the Indigenous Peoples' Global Summit on Climate Change that will take place in April, 2009, in Anchorage, Alaska. The Summit, organized by the Inuit Circumpolar Council with oversight of an International Steering Committee, will bring together hundreds of indigenous Peoples around the world. This Workshop intended to bring together Arctic Indigenous Peoples to deliver and to share information, academic research, case studies based on traditional knowledge and researchers knowledgeable in traditional knowledge and/or policy issues drawn from traditional knowledge. The following themes were discussed: 1) Traditional knowledge research and education; 2) Laws and lawmaking; 3) Food and health; 4) Organisation; 5) Communications and advocacy. (ln)

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

Science.gov (United States)

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

2017-07-01

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

Knowledge based economy in European Union

Directory of Open Access Journals (Sweden)

Ecaterina Stănculescu

2012-04-01

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

A knowledge base browser using hypermedia

Science.gov (United States)

Pocklington, Tony; Wang, Lui

1990-01-01

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

A Comparative Analysis of New Governance Instruments in the Transnational Educational Space: A Shift to Knowledge-Based Instruments?

Science.gov (United States)

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…

Knowledge Governance for Sustainable Development: A Review

Directory of Open Access Journals (Sweden)

Lorrae van Kerkhoff

2014-03-01

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

Project-based knowledge in organizing open innovation

CERN Document Server

Comacchio, Anna; Pizzi, Claudio

2014-01-01

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

Measuring globalization-based acculturation in Ladakh

DEFF Research Database (Denmark)

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...

Knowledge-based diagnosis for aerospace systems

Science.gov (United States)

Atkinson, David J.

1988-01-01

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

Knowledge Management for Knowledge Society and Intergenerational Education

Directory of Open Access Journals (Sweden)

Jana Goriup

2015-06-01

Full Text Available The impact of globalization on contemporary post-modern society in the light of an aging population requires methods and techniques of education that are appropriate for young people and reflect (or accommodate intergenerational learning. The purpose of this paper is to analyse, through empirical research and study of literature, the context of the elderly who are too often marginalized and to show the impact of the knowledge of society based on the use of modern information and communication technologies, on intergenerational learning. The authors analyse some of the consequences of the demographic changes and highlight the role and importance of intergenerational learning and collaboration for sustainability, especially in the Slovenian ageing society. We identify the role and importance of intergenerational learning for coexistence of generations. In the analysis of the empirical data of the conducted research, we conclude that the effectiveness of the knowledge society is influenced by both: the globalization processes and the intergenerational integration, as well as (and in particular the cultural capital of younger generations and, last, but not least, the willingness of all generations to participate in the transmission and acquisition of knowledge.

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

Directory of Open Access Journals (Sweden)

Kai Zhang

2016-06-01

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

Exploiting Expert Knowledge to Enhance Simulation-based Optimization of Environmental Remediation Systems

Science.gov (United States)

Reslink, C. F.; Matott, L. S.

2012-12-01

Designing cost-effective systems to safeguard national water supplies from contaminated sites is often aided by simulation-based optimization - where a flow or transport model is linked with an "off-the-shelf" global optimization search algorithm. However, achieving good performance from these types of optimizers within a reasonable computational budget has proven to be difficult. Therefore, this research seeks to boost optimization efficiency by augmenting search procedures with non-traditional information, such as site-specific knowledge and practitioner rules-of-thumb. An example application involving pump-and-treat optimization is presented in which a series of extraction wells are to be installed to intercept pollutants at a contaminated site in Billings, Montana. Selected heuristic algorithms (e.g. Genetic Algorithm) are interfaced with a rules engine that makes inline adjustments to the well locations of candidate pump-and-treat designs. If necessary, the rules engine modifies a given pump-and-treat design so that: (1) wells are placed within plume boundaries; and (2) well placement is biased toward areas where, if left untreated, the plume is predicted to spread most rapidly. Results suggest that incorporating this kind of expert knowledge can significantly increase the search efficiency of many popular global optimizers.

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

Science.gov (United States)

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

Sustaining the Knowledge Base of the United States Air Force for Future Operations

Science.gov (United States)

2015-12-10

separates the actual system from the individual. In contrast, Tan , Carrillo, Anumba, Bouchlaghem, Kamara, and Udeaja contended that knowledge management...individual in knowledge management,” 433. 37 Hai Chen Tan et al., “Development of a Methodology for Live Capture and Reuse of Project Knowledge in...Hasan, Maruif and Songkai Nicholas Zhou. “Knowledge Management in Global Organizations,” International Business Research, 8, no. 6 (Spring 2015): 165

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions

KAUST Repository

Abdelaziz, Ibrahim; Fokoue, Achille; Hassanzadeh, Oktie; Zhang, Ping; Sadoghi, Mohammad

2017-01-01

Drug-Drug Interactions (DDIs) are a major cause of preventable Adverse Drug Reactions (ADRs), causing a significant burden on the patients’ health and the healthcare system. It is widely known that clinical studies cannot sufficiently and accurately identify DDIs for new drugs before they are made available on the market. In addition, existing public and proprietary sources of DDI information are known to be incomplete and/or inaccurate and so not reliable. As a result, there is an emerging body of research on in-silico prediction of drug-drug interactions. In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of drug-related data and knowledge as inputs, and provides DDI predictions as outputs. The process starts with semantic integration of the input data that results in a knowledge graph describing drug attributes and relationships with various related entities such as enzymes, chemical structures, and pathways. The knowledge graph is then used to compute several similarity measures between all the drugs in a scalable and distributed framework. In particular, Tiresias utilizes two classes of features in a knowledge graph: local and global features. Local features are derived from the information directly associated to each drug (i.e., one hop away) while global features are learnt by minimizing a global loss function that considers the complete structure of the knowledge graph. The resulting similarity metrics are used to build features for a large-scale logistic regression model to predict potential DDIs. We highlight the novelty of our proposed Tiresias and perform thorough evaluation of the quality of the predictions. The results show the effectiveness of Tiresias in both predicting new interactions among existing drugs as well as newly developed drugs.

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions

KAUST Repository

Abdelaziz, Ibrahim

2017-06-12

Drug-Drug Interactions (DDIs) are a major cause of preventable Adverse Drug Reactions (ADRs), causing a significant burden on the patients’ health and the healthcare system. It is widely known that clinical studies cannot sufficiently and accurately identify DDIs for new drugs before they are made available on the market. In addition, existing public and proprietary sources of DDI information are known to be incomplete and/or inaccurate and so not reliable. As a result, there is an emerging body of research on in-silico prediction of drug-drug interactions. In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of drug-related data and knowledge as inputs, and provides DDI predictions as outputs. The process starts with semantic integration of the input data that results in a knowledge graph describing drug attributes and relationships with various related entities such as enzymes, chemical structures, and pathways. The knowledge graph is then used to compute several similarity measures between all the drugs in a scalable and distributed framework. In particular, Tiresias utilizes two classes of features in a knowledge graph: local and global features. Local features are derived from the information directly associated to each drug (i.e., one hop away) while global features are learnt by minimizing a global loss function that considers the complete structure of the knowledge graph. The resulting similarity metrics are used to build features for a large-scale logistic regression model to predict potential DDIs. We highlight the novelty of our proposed Tiresias and perform thorough evaluation of the quality of the predictions. The results show the effectiveness of Tiresias in both predicting new interactions among existing drugs as well as newly developed drugs.

Process fault diagnosis using knowledge-based systems

International Nuclear Information System (INIS)

Sudduth, A.L.

1991-01-01

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

Knowledge Test

DEFF Research Database (Denmark)

Sørensen, Ole Henning

1998-01-01

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

Big Data Knowledge in Global Health Education.

Science.gov (United States)

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.

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

Science.gov (United States)

Rice, Amber H.; Kitchel, Tracy

2015-01-01

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

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

Science.gov (United States)

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

2017-01-01

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

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

Science.gov (United States)

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.

The future of technical knowledge management

International Nuclear Information System (INIS)

Kang, C.-S.

2005-01-01

The sustainable development of nuclear energy can only be achieved by establishing the global nuclear safety regime. The effective management of technical knowledge will become one of the issues and challenges in establishing the global nuclear safety. We have to develop the measures to identify the nature and scope of associated problems and to explore the cooperative international actions to resolve them. The future of its effective management will depend on how to optimize the transfer and deployment of the knowledge as well as how to maintain the knowledge base. In this presentation, two specific topics are discussed: sharing of the knowledge and preservation of the workforce. In sharing the knowledge, topics are assurance of free flow of safety-related R and D information from developed to developing countries and potential imposition of a strong trade agreement between nuclear exporting and importing countries to ensure the safety. In preserving the workforce, topics are development of the knowledge transfer system from this generation to the next like a forum of IYNC, enforcement of regional and international educational systems like ANENT and WNU for workforce development, and exploration of optimal mechanism in using retired workforce. The publication of the world-wide directory of nuclear professionals, aggressive implementation of the youth internship program and introduction of the international professional certification program are also discussed. The reformation of CNS as a more enforcing and binding agreement in keeping the safety along with the introduction of 'Global Nuclear Safety Treaty' could be an excellent mechanism of achieving an effective knowledge management and eventually enforcing the global safety regime. IAEA has always been the corroborator of maintaining high levels of nuclear safety through close international nuclear cooperation. These important roles of IAEA should continue to be emphasized more than ever in order to secure the

An XML Based Knowledge Management System for e-Collaboration and e-Learning

Directory of Open Access Journals (Sweden)

Varun Gopalakrishna

2004-02-01

Full Text Available This paper presents the development, key features, and the implementation principles of a sustainable and scaleable knowledge management system (KMS prototype for creating, capturing, organizing, and managing digital information in the form of Extensible Markup Language (XML documents and other popular file formats. It is aimed to provide a platform for global, instant, and secure access to and dissemination of information within a knowledge-intensive organization or a cluster of organizations through Internet or intranet. A three-tier system architecture was chosen for the KMS to provide performance and scalability while enabling future development that supports global, secure, real-time, and multi-media communication of information and knowledge among team members separated by great distance. An XML Content Server has been employed in this work to store, index, and retrieve large volumes of XML and binary content.

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

Science.gov (United States)

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…

Transformative Pedagogy, Leadership and School Organisation for the Twenty-First-Century Knowledge-Based Economy: The Case of Singapore

Science.gov (United States)

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,…

Knowledge-Basing Teaching Professions and Professional Practice

DEFF Research Database (Denmark)

Thingstrup, Signe Hvid

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

Towards Modeling False Memory With Computational Knowledge Bases.

Science.gov (United States)

Li, Justin; Kohanyi, Emma

2017-01-01

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

Automatic Knowledge Base Evolution by Learning Instances

OpenAIRE

Kim, Sundong

2016-01-01

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

Synergy optimization and operation management on syndicate complementary knowledge cooperation

Science.gov (United States)

Tu, Kai-Jan

2014-10-01

The number of multi enterprises knowledge cooperation has grown steadily, as a result of global innovation competitions. I have conducted research based on optimization and operation studies in this article, and gained the conclusion that synergy management is effective means to break through various management barriers and solve cooperation's chaotic systems. Enterprises must communicate system vision and access complementary knowledge. These are crucial considerations for enterprises to exert their optimization and operation knowledge cooperation synergy to meet global marketing challenges.

THE EU TAX TREATMENT COMPETITION FOR KNOWLEDGE BASED CAPITAL – THE SPECIAL CASE OF R&D

Directory of Open Access Journals (Sweden)

Cozmei Cătălina

2015-05-01

Full Text Available Globalization spurs the diffusion of knowledge and encourages firms to incorporate investments in innovation in their portfolios because knowledge based capital (research & development, intellectual property, organisational capital, skills etc. is a key d river for competitiveness on all levels. This article aims to emphasize the differences in the R&D tax policy mix as a proxy for the knowledge based capital and analyse some R&D indicators for a number of 20 EU member states in order to sort and classify those countries in terms of R&D tax policy effectiveness. The results show that a higher corporate tax level even if is offset by a high tax subsidy does not lead to a high level business enterprise expenditure on R&D as a percentage of value added in industry. Moreover this paper highlights the need for designing a tax policy that promotesinnovation and gauges the loopholes of the tax system that activate profit shifting strategies.

From Evidence-based Management to Management of Non-knowledge

DEFF Research Database (Denmark)

Knudsen, Morten

2017-01-01

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

Knowledge Based Help desk System in Nuclear Malaysia

International Nuclear Information System (INIS)

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

2012-01-01

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

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

Science.gov (United States)

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…

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

Science.gov (United States)

Stausberg, J; Wormek, A; Kraut, U

1995-01-01

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

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

OpenAIRE

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...

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

OpenAIRE

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...

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

Science.gov (United States)

Bhattacharya, Devarati

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

Experts' views regarding Australian school-leavers' knowledge of nutrition and food systems.

Science.gov (United States)

Sadegholvad, Sanaz; Yeatman, Heather; Parrish, Anne-Maree; Worsley, Anthony

2017-10-01

To explore Australian experts' views regarding strengths and gaps in school-leavers' knowledge of nutrition and food systems ( N&FS) and factors that influence that knowledge. Semi-structured interviews were conducted with 21 highly experienced food-related experts in Australia. Qualitative data were analysed thematically using Attride-Stirling's thematic network framework. Two global themes and several organising themes were identified. The first global theme, 'structural curriculum-based problems', emerged from three organising themes of: inconsistencies in provided food education programs at schools in Australia; insufficient coverage of food-related skills and food systems topics in school curricula; and the lack of trained school teachers. The second global theme, 'insufficient levels of school-leavers knowledge of N&FS ', was generated from four organising themes, which together described Australian school-leavers' poor knowledge of N&FS more broadly and knowledge translation problem for everyday practices. Study findings identified key problems relating to current school-based N&FS education programs in Australia and reported knowledge gaps in relation to N&FS among Australian school-leavers. These findings provide important guidance for N&FS curriculum development, to clearly articulate broadly-based N&FS knowledge acquisition in curriculum policy and education documents for Australian schools. © 2017 The Authors.

The Underdetermined Knowledge-Based Theory of the MNC

DEFF Research Database (Denmark)

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

2011-01-01

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

Web Based Interactive Software in International Business: The Case of the Global Market Potential System Online (GMPSO[C])

Science.gov (United States)

Janavaras, Basil J.; Gomes, Emanuel; Young, Richard

2008-01-01

This paper seeks to confirm whether students using the Global Market Potential System Online (GMPSO) web based software, (http://globalmarketpotential.com), for their class project enhanced their knowledge and understanding of international business. The challenge most business instructors and practitioners face is to determine how to bring the…

Knowledge-Based Economy in Argentina, Costa Rica and Mexico: A Comparative Analysis from the Bio-Economy Perspective

Directory of Open Access Journals (Sweden)

Ana Barbara MUNGARAY-MOCTEZUMA

2015-06-01

Full Text Available The objective of this article is to determine the necessary institutional characteristics of technology and human capital in Argentina, Costa Rica and Mexico in order to evolve towards a knowledge-based economy, addressing the importance of institutions for their development. In particular, the knowledge-based economy is analyzed from the perspective of bioeconomics. Based on the Knowledge Economy Index (KEI which considers 148 indicators, in the following categories: a economic performance and institutional regime; b education and human resources, c innovation, and d information and communication technologies, we selected 13 indicators. We aim to identify the strengths and opportunities for these countries in order to meet the challenges that arise from the paradoxes of technological progress and globalization. In this sense, bioeconomy is approached as part of the economy. This analysis shows, among other things, that Argentina has greater potential to compete in an economy sustained in the creation and dissemination of knowledge, while Costa Rica has an institutional and regulatory environment that is more conducive to the development of business activities, and Mexico faces significant challenges regarding its institutional structure, economic performance and human resources.

Knowledge-based scheduling of arrival aircraft

Science.gov (United States)

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

1995-01-01

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

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

Science.gov (United States)

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.

Conceptual Pathway Querying of Natural Logic Knowledge Bases from Text Bases

DEFF Research Database (Denmark)

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

2013-01-01

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

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

International Nuclear Information System (INIS)

Bright, Clive

2008-01-01

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

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

Directory of Open Access Journals (Sweden)

Adem ÇİÇEK

2007-01-01

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

Managing Knowledge-Based Resource Capabilities Under Uncertainty

OpenAIRE

Janice E. Carrillo; Cheryl Gaimon

2004-01-01

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

APPROACH ON INTELLIGENT OPTIMIZATION DESIGN BASED ON COMPOUND KNOWLEDGE

Institute of Scientific and Technical Information of China (English)

Yao Jianchu; Zhou Ji; Yu Jun

2003-01-01

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

Community-based health insurance knowledge, concern ...

African Journals Online (AJOL)

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

A Global Assessment on Climate Research Engaging Indigenous Knowledge Systems and Recommendations for Quality Standards of Research Practice in Indigenous Communities

Science.gov (United States)

Davíd-Chavez, D. M.; Gavin, M. C.

2017-12-01

Indigenous communities worldwide have maintained their own knowledge systems for millennia informed through careful observation of dynamics of environmental changes. Withstanding centuries of challenges to their rights to maintain and practice these knowledge systems, Indigenous peoples continually speak to a need for quality standards for research in their communities. Although, international and Indigenous peoples' working groups emphasize Indigenous knowledge systems and the communities who hold them as critical resources for understanding and adapting to climate change, there has yet to be a comprehensive, evidence based analysis into how diverse knowledge systems are integrated in scientific studies. Do current research practices challenge or support Indigenous communities in their efforts to maintain and appropriately apply their knowledge systems? This study addresses this question using a systematic literature review and meta-analysis assessing levels of Indigenous community participation and decision-making in all stages of the research process (initiation, design, implementation, analysis, dissemination). Assessment is based on reported quality indicators such as: outputs that serve the community, ethical guidelines in practice (free, prior, and informed consent and intellectual property rights), and community access to findings. These indicators serve to identify patterns between levels of community participation and quality standards in practice. Meta-analysis indicates most climate studies practice an extractive model in which Indigenous knowledge systems are co-opted with minimal participation or decision-making authority from communities who hold them. Few studies report outputs that directly serve Indigenous communities, ethical guidelines in practice, or community access to findings. Studies reporting the most quality indicators were initiated in mutual agreement between Indigenous communities and outside researchers or by communities themselves

Modeling and knowledge acquisition processes using case-based inference

Directory of Open Access Journals (Sweden)

Ameneh Khadivar

2017-03-01

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

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

Science.gov (United States)

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

2013-01-01

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

An Inquiry-Based Approach to Teaching the Spherical Earth Model to Preservice Teachers Using the Global Positioning System

Science.gov (United States)

Song, Youngjin; Schwenz, Richard

2013-01-01

This article describes an inquiry-based lesson to deepen preservice teachers' understanding of the spherical Earth model using the Global Positioning System. The lesson was designed with four learning goals: (1) to increase preservice teachers' conceptual knowledge of the spherical Earth model; (2) to develop preservice teachers'…

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

Science.gov (United States)

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…

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

Science.gov (United States)

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.

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

Energy Technology Data Exchange (ETDEWEB)

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

1993-03-01

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

In defense of types in knowledge-based CAAD

DEFF Research Database (Denmark)

Galle, Per

1997-01-01

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

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

Directory of Open Access Journals (Sweden)

Guangdong Wu

2013-09-01

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

Knowledge Governance Strategies in Project-based Organizations

DEFF Research Database (Denmark)

Pemsel, Sofia; Müller, Ralf; Söderlund, Jonas

2016-01-01

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

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

Energy Technology Data Exchange (ETDEWEB)

Williams, K.E.; Kotnour, T.

1991-01-01

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

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

Energy Technology Data Exchange (ETDEWEB)

Williams, K.E.; Kotnour, T.

1991-12-31

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

Information modelling and knowledge bases XXV

CERN Document Server

Tokuda, T; Jaakkola, H; Yoshida, N

2014-01-01

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

Subsidiary-level determinants of global initiatives in multinational corporations

NARCIS (Netherlands)

Williams, C.

2009-01-01

This article examines subsidiary-level factors that promote global initiatives in MNCs. Global initiatives are a key capability of MNCs that domestic firms do not possess, yet there has been little research on how MNCs promote initiatives on a global basis. I draw principally on the knowledge-based

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

Science.gov (United States)

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…

The interplay between knowledge, perceived efficacy, and concern about global warming and climate change: a one-year longitudinal study.

Science.gov (United States)

Milfont, Taciano L

2012-06-01

If the long-term goal of limiting warming to less than 2°C is to be achieved, rapid and sustained reductions of greenhouse gas emissions are required. These reductions will demand political leadership and widespread public support for action on global warming and climate change. Public knowledge, level of concern, and perceived personal efficacy, in positively affecting these issues are key variables in understanding public support for mitigation action. Previous research has documented some contradictory associations between knowledge, personal efficacy, and concern about global warming and climate change, but these cross-sectional findings limit inferences about temporal stability and direction of influence. This study examines the relationships between these three variables over a one-year period and three waves with national data from New Zealand. Results showed a positive association between the variables, and the pattern of findings was stable and consistent across the three data points. More importantly, results indicate that concern mediates the influence of knowledge on personal efficacy. Knowing more about global warming and climate change increases overall concern about the risks of these issues, and this increased concern leads to greater perceived efficacy and responsibility to help solving them. Implications for risk communication are discussed. © 2012 Society for Risk Analysis.

From conventional software based systems to knowledge based systems

International Nuclear Information System (INIS)

Bologna, S.

1995-01-01

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

Knowledge transfer objects and innovation performance

DEFF Research Database (Denmark)

Sajadirad, Solmaz; Lassen, Astrid Heidemann

2016-01-01

Local knowledge of globally distributed subsidiaries may be a valuable source of innovation for headquarters. However, acquiring local knowledge of subsidiaries and transforming it into innovation performance remains a challenge for many multinational companies. In this paper, based on analysis...... of eleven multinational companies present in Danish industry, we characterize different approaches to the use of knowledge transfer objects (static vs. dynamic), and discuss the respective effect on innovation performance. A conceptual framework is proposed to classify such different approaches on the basis...

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

OpenAIRE

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

2017-01-01

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

Labouring in the Knowledge Fields: Researching Knowledge in Globalising Workspaces

Science.gov (United States)

Farrell, Lesley

2006-01-01

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

Knowledge-Based Approaches: Two cases of applicability

DEFF Research Database (Denmark)

Andersen, Tom

1997-01-01

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

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

National Research Council Canada - National Science Library

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...

Global Software Engineering

DEFF Research Database (Denmark)

Ebert, Christof; Kuhrmann, Marco; Prikladnicki, Rafael

2016-01-01

SOFTWARE, LIKE ALL industry products, is the result of complex multinational supply chains with many partners from concept to development to production and maintenance. Global software engineering (GSE), IT outsourcing, and business process outsourcing during the past decade have showed growth...... rates of 10 to 20 percent per year. This instalment of Practitioner’s Digest summarizes experiences and guidance from industry to facilitate knowledge and technology transfer for GSE. It’s based on industry feedback from the annual IEEE International Conference on Global Software Engineering, which had...

A Multilevel Congestion-Based Global Router

Directory of Open Access Journals (Sweden)

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.

Knowledge-based computer security advisor

International Nuclear Information System (INIS)

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

1991-01-01

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

Automated extraction of knowledge for model-based diagnostics

Science.gov (United States)

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

1990-01-01

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

Knowledge based management of technical specifications

International Nuclear Information System (INIS)

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

1992-01-01

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

Global trends in satellite-based emergency mapping

Science.gov (United States)

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.

Knowledge-based operator guidance system for Japanese PWRs

International Nuclear Information System (INIS)

Fujita, Y.; Ito, K.; Kawanago, S.; Tani, M.; Murata, R.

1986-01-01

A knowledge-based operator support system for nuclear power plant operation is under development. The main theme of the study is the incorporation of operator's cognitive structure as the framework of the knowledge representation and inference control mechanisms. Based upon information collected from interviews, and experiments using a real-time simulator, an operator's model related to diagnostic tasks was developed. A knowledge-based system incorporating the proposed model demonstrated highly efficient problem solving capabilities and the dynamic fitness to operator's perceptual feeling, thereby suggesting the potential importance and practical benefit of such a study

FROM TRADITIONAL ACCOUNTING TO KNOWLEDGE BASED ACCOUNTING ORGANIZATIONS

Directory of Open Access Journals (Sweden)

NICOLETA RADNEANTU

2010-01-01

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

Managing opportunities in the global knowledge society

DEFF Research Database (Denmark)

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...

Modeling Transfer of Knowledge in an Online Platform of a Cluster

OpenAIRE

Schmidt, Danilo Marcello; Böttcher, Lena; Wilberg, Julian; Kammerl, Daniel; Lindemann, Udo

2016-01-01

Dealing with knowledge as a relevant resource and factor for production has become increasingly important in the course of globalization. This work focuses on questions about transferring knowledge when many companies work together in a cluster of enterprises. We developed a model of this transfer based on the theory of clusters from the New Institutional Economics’ point of view and based on existing theories about knowledge and knowledge transfer. This theoretical construct is evaluated and...

Knowledge based expert system approach to instrumentation selection (INSEL

Directory of Open Access Journals (Sweden)

S. Barai

2004-08-01

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

Bridging the gap: simulations meet knowledge bases

Science.gov (United States)

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

2003-09-01

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

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

Science.gov (United States)

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

Media Pembelajaran Global Warming

OpenAIRE

Tham, Fikri Jufri; Liliana, Liliana; Purba, Kristo Radion

2016-01-01

Computer based learning media is one of the media has an important role in learning. Learning media will be attractive when packaged through interactive media , such as interactive media created in paper manufacture " instructional media global warming" . The advantage gained is that it can increase knowledge, generally educate people to be more concerned about the environment , and also can be a means of entertainment. This application is focused to learn about global warming and packaged in...

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

OpenAIRE

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

2014-01-01

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

Inequities in health and healthcare viewed through the ethical lens of critical social justice: contextual knowledge for the global priorities ahead.

Science.gov (United States)

Anderson, Joan M; Rodney, Patricia; Reimer-Kirkham, Sheryl; Browne, Annette J; Khan, Koushambhi Basu; Lynam, M Judith

2009-01-01

The authors use the backdrop of the Healthy People 2010 initiative to contribute to a discussion encompassing social justice from local to national to global contexts. Drawing on findings from their programs of research, they explore the concept of critical social justice as a powerful ethical lens through which to view inequities in health and in healthcare access. They examine the kind of knowledge needed to move toward the ideal of social justice and point to strategies for engaging in dialogue about knowledge and actions to promote more equitable health and healthcare from local to global levels.

Drug knowledge bases and their applications in biomedical informatics research.

Science.gov (United States)

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

2018-01-03

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

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

International Nuclear Information System (INIS)

Kim, Jong Hyun

1998-02-01

Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

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

DEFF Research Database (Denmark)

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....

Full waveform inversion using envelope-based global correlation norm

Science.gov (United States)

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.

GrandBase: generating actionable knowledge from Big Data

Directory of Open Access Journals (Sweden)

Xiu Susie Fang

2017-08-01

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

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

International Nuclear Information System (INIS)

Dejneko, A.O.

2011-01-01

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

Model-based explanation of plant knowledge

Energy Technology Data Exchange (ETDEWEB)

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

1997-12-31

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

Model-based explanation of plant knowledge

Energy Technology Data Exchange (ETDEWEB)

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

1998-12-31

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

Global land cover mapping at 30 m resolution: A POK-based operational approach

Science.gov (United States)

Chen, Jun; Chen, Jin; Liao, Anping; Cao, Xin; Chen, Lijun; Chen, Xuehong; He, Chaoying; Han, Gang; Peng, Shu; Lu, Miao; Zhang, Weiwei; Tong, Xiaohua; Mills, Jon

2015-05-01

Global Land Cover (GLC) information is fundamental for environmental change studies, land resource management, sustainable development, and many other societal benefits. Although GLC data exists at spatial resolutions of 300 m and 1000 m, a 30 m resolution mapping approach is now a feasible option for the next generation of GLC products. Since most significant human impacts on the land system can be captured at this scale, a number of researchers are focusing on such products. This paper reports the operational approach used in such a project, which aims to deliver reliable data products. Over 10,000 Landsat-like satellite images are required to cover the entire Earth at 30 m resolution. To derive a GLC map from such a large volume of data necessitates the development of effective, efficient, economic and operational approaches. Automated approaches usually provide higher efficiency and thus more economic solutions, yet existing automated classification has been deemed ineffective because of the low classification accuracy achievable (typically below 65%) at global scale at 30 m resolution. As a result, an approach based on the integration of pixel- and object-based methods with knowledge (POK-based) has been developed. To handle the classification process of 10 land cover types, a split-and-merge strategy was employed, i.e. firstly each class identified in a prioritized sequence and then results are merged together. For the identification of each class, a robust integration of pixel-and object-based classification was developed. To improve the quality of the classification results, a knowledge-based interactive verification procedure was developed with the support of web service technology. The performance of the POK-based approach was tested using eight selected areas with differing landscapes from five different continents. An overall classification accuracy of over 80% was achieved. This indicates that the developed POK-based approach is effective and feasible

Considering Human Capital Theory in Assessment and Training: Mapping the Gap between Current Skills and the Needs of a Knowledge-Based Economy in Northeast Iowa

Science.gov (United States)

Mihm-Herold, Wendy

2010-01-01

In light of the current economic downturn, thousands of Iowans are unemployed and this is the ideal time to build the skills of the workforce to compete in the knowledge-based economy so businesses and entrepreneurs can compete in a global economy. A tool for assessing the skills and knowledge of dislocated workers and students as well as…

Transition to knowledge-based economy in Saudi Arabia

NARCIS (Netherlands)

Nour, S.

2014-01-01

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

A University-Industry Collaborative Response to the Growing Global Demand for Student Talent: Using Interpretive Phenomenology to Discover Life-World Knowledge

Science.gov (United States)

Vauterin, Johanna Julia; Linnanen, Lassi; Michelsen, Karl-Erik

2013-01-01

The supply of student talent is now taking on an increasingly global dimension and this has extended the breadth of university-industry interaction. Set in the context of a rapidly growing international student market, knowledge transfer between academia and business through global student talent supply is an emerging practice. This paper…

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

National Research Council Canada - National Science Library

Morgan, Charles

2001-01-01

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

The research on construction and application of machining process knowledge base

Science.gov (United States)

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

2018-03-01

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

Enhancing acronym/abbreviation knowledge bases with semantic information.

Science.gov (United States)

Torii, Manabu; Liu, Hongfang

2007-10-11

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

Connecting Coastal Communities with Ocean Science: A Look at Ocean Sense and the Inclusion of Place-based Indigenous Knowledge

Science.gov (United States)

McLean, M. A.; Brown, J.; Hoeberechts, M.

2016-02-01

Ocean Networks Canada (ONC), an initiative of the University of Victoria, develops, operates, and maintains cabled ocean observatory systems. Technologies developed on the world-leading NEPTUNE and VENUS observatories have been adapted for small coastal installations called "community observatories," which enable community members to directly monitor conditions in the local ocean environment. In 2014, ONC pioneered an innovative educational program, Ocean Sense: Local observations, global connections, which introduces students and teachers to the technologies installed on community observatories. The program introduces middle and high school students to research methods in biology, oceanography and ocean engineering through hands-on activities. Ocean Sense includes a variety of resources and opportunities to excite students and spark curiosity about the ocean environment. The program encourages students to connect their local observations to global ocean processes and the observations of students in other geographic regions. The connection to place and local relevance of the program is further enhanced through an emphasis on Indigenous and place-based knowledge. ONC is working with coastal Indigenous communities in a collaborative process to include local knowledge, culture, and language in Ocean Sense materials. For this process to meaningful and culturally appropriate, ONC is relying on the guidance and oversight of Indigenous community educators and knowledge holders. Ocean Sense also includes opportunities for Indigenous youth and teachers in remote communities to connect in person, including an annual Ocean Science Symposium and professional development events for teachers. Building a program which embraces multiple perspectives is effective both in making ocean science more relevant to Indigenous students and in linking Indigenous knowledge and place-based knowledge to ocean science.

Global Awareness in the Classroom: Global Classroom Initiative

Science.gov (United States)

Education Canada, 2004

2004-01-01

As countries around the world move toward global integration, knowledge of how Canada interrelates globally is becoming an increasingly useful asset. It is important that young Canadians learn what it means to become responsible global citizens. Awareness about global issues and appreciation of Canada's efforts in international development offer a…

Associations for Citizen Science: Regional Knowledge, Global Collaboration

Directory of Open Access Journals (Sweden)

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.

Dengue knowledge, attitudes and practices and their impact on community-based vector control in rural Cambodia

Science.gov (United States)

Doum, Dyna; Keo, Vanney; Sokha, Ly; Sam, BunLeng; Chan, Vibol; Alexander, Neal; Bradley, John; Liverani, Marco; Prasetyo, Didot Budi; Rachmat, Agus; Lopes, Sergio; Hii, Jeffrey; Rithea, Leang; Shafique, Muhammad; Hustedt, John

2018-01-01

Background Globally there are an estimated 390 million dengue infections per year, of which 96 million are clinically apparent. In Cambodia, estimates suggest as many as 185,850 cases annually. The World Health Organization global strategy for dengue prevention aims to reduce mortality rates by 50% and morbidity by 25% by 2020. The adoption of integrated vector management approach using community-based methods tailored to the local context is one of the recommended strategies to achieve these objectives. Understanding local knowledge, attitudes and practices is therefore essential to designing suitable strategies to fit each local context. Methods and findings A Knowledge, Attitudes and Practices survey in 600 randomly chosen households was administered in 30 villages in Kampong Cham which is one of the most populated provinces of Cambodia. KAP surveys were administered to a sub-sample of households where an entomology survey was conducted (1200 households), during which Aedes larval/pupae and adult female Aedes mosquito densities were recorded. Participants had high levels of knowledge regarding the transmission of dengue, Aedes breeding, and biting prevention methods; the majority of participants believed they were at risk and that dengue transmission is preventable. However, self-reported vector control practices did not match observed practices recorded in our surveys. No correlation was found between knowledge and observed practices either. Conclusion An education campaign regarding dengue prevention in this setting with high knowledge levels is unlikely to have any significant effect on practices unless it is incorporated in a more comprehensive strategy for behavioural change, such a COMBI method, which includes behavioural models as well as communication and marketing theory and practice. Trial registration ISRCTN85307778. PMID:29451879

Dengue knowledge, attitudes and practices and their impact on community-based vector control in rural Cambodia.

Science.gov (United States)

Kumaran, Emmanuelle; Doum, Dyna; Keo, Vanney; Sokha, Ly; Sam, BunLeng; Chan, Vibol; Alexander, Neal; Bradley, John; Liverani, Marco; Prasetyo, Didot Budi; Rachmat, Agus; Lopes, Sergio; Hii, Jeffrey; Rithea, Leang; Shafique, Muhammad; Hustedt, John

2018-02-01

Globally there are an estimated 390 million dengue infections per year, of which 96 million are clinically apparent. In Cambodia, estimates suggest as many as 185,850 cases annually. The World Health Organization global strategy for dengue prevention aims to reduce mortality rates by 50% and morbidity by 25% by 2020. The adoption of integrated vector management approach using community-based methods tailored to the local context is one of the recommended strategies to achieve these objectives. Understanding local knowledge, attitudes and practices is therefore essential to designing suitable strategies to fit each local context. A Knowledge, Attitudes and Practices survey in 600 randomly chosen households was administered in 30 villages in Kampong Cham which is one of the most populated provinces of Cambodia. KAP surveys were administered to a sub-sample of households where an entomology survey was conducted (1200 households), during which Aedes larval/pupae and adult female Aedes mosquito densities were recorded. Participants had high levels of knowledge regarding the transmission of dengue, Aedes breeding, and biting prevention methods; the majority of participants believed they were at risk and that dengue transmission is preventable. However, self-reported vector control practices did not match observed practices recorded in our surveys. No correlation was found between knowledge and observed practices either. An education campaign regarding dengue prevention in this setting with high knowledge levels is unlikely to have any significant effect on practices unless it is incorporated in a more comprehensive strategy for behavioural change, such a COMBI method, which includes behavioural models as well as communication and marketing theory and practice. ISRCTN85307778.

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

Science.gov (United States)

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…

Structural design systems using knowledge-based techniques

International Nuclear Information System (INIS)

Orsborn, K.

1993-01-01

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

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

Science.gov (United States)

Dong, Qiwen; Zhou, Shuigeng

2011-01-01

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

The Ontology of Knowledge Based Optimization

OpenAIRE

Nasution, Mahyuddin K. M.

2012-01-01

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

ECONOMIC AND SOCIAL IMPLICATIONS OF GLOBALIZATION

Directory of Open Access Journals (Sweden)

Oana CHINDRIS-VASIOIU

2013-12-01

Full Text Available The confrontation between third millennium will not be between civilizations but between forces of globalization and global agents. Already live in a global economy, context in which it is necessary to understand by globalization the modernization process of life world by spreading economic means of production and communication at world level. Globalization produces a capitalism healthy whereas stimulates competition beneficial between an ever-increasing number of companies. Economic and political unification under the global financial corporate banner is accompanied by mixing spiritual values and return unique realm. After internationalism political correctness (multiculturalism, feminism, ecological radically administered Western individualism typical bruising, it seems that the ground is ready for the big toe-in. Globalization can be seen as a crucial stage of expansion and economic interdependence. This stage is completing a process of aggregation of relatively autonomous local economies whose element mainly in the past has been constant widening of the space for the exchange of each economic savings. Economic renewal based on knowledge of known but a contrary geospatial evolution. Advances in knowledge are favored and intimately linked to the possibility of communication. So, they are favored by communication infrastructure and communication technologies.

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

Science.gov (United States)

Izygon, Michel E.

1992-01-01

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

KBGIS-2: A knowledge-based geographic information system

Science.gov (United States)

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

1986-01-01

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

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

Science.gov (United States)

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…

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

Science.gov (United States)

Riedesel, Joel D.

1990-01-01

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

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

OpenAIRE

Gao, Shi

2016-01-01

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

Management Information Systems Students' Perception of Skills and Competencies - Towards Knowledge Based Community

Directory of Open Access Journals (Sweden)

Alev ELÇİ

2016-12-01

Full Text Available The increasing usage of Information and Communication Technologies in official borders of our business lives, starting from e-government and e-commerce applications, spreading towards our daily personal lives has made it difficult to ignore the importance of Management Information Systems (MIS. MIS, initially taught as a course in different disciplines, has now started to develop as a standalone interdisciplinary academic program in higher education. Besides curriculum standards suggestions and necessary skills and competencies for MIS education identified by academic and professional organizations, students' perceptions in these topics are also important. Thus while developing towards knowledge based community, the aim of this research is to identify MIS students' perceptions of essential skills and competencies in their educational, proffesional and personal lives. The sample group of this study are the students that are a member of social media MIS groups. The gathered quantitative data has been analyzed by an online survey. As a result, it has been evident that students find that information technical skills and competencies are crucial. The skills required for transition to knowledge based community; global working, multicultural, social responsibility, civic awareness, equal opportunity, gender and environmental awareness comes later.

Knowledge-based automated radiopharmaceutical manufacturing for Positron Emission Tomography

International Nuclear Information System (INIS)

Alexoff, D.L.

1991-01-01

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

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

Science.gov (United States)

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

2012-01-01

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

A PROCESS-BASED APPROACH TO KNOWLEDGE MANAGEMENT

OpenAIRE

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

2006-01-01

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

Representability in DL-Lite_R knowledge base exchange

NARCIS (Netherlands)

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

2012-01-01

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

Knowledge management in modern organization based on systems III platform ICT

Directory of Open Access Journals (Sweden)

Piotr Adamczewski

2016-12-01

Full Text Available Systems ICT (Information and Communication Technology form the basis of modern economic organizations. In particular, the intelligent organizations for which advanced ICT infrastructure is a sine qua non for effective knowledge management. This article aims to show the role of modern trends of ICT referred to as SMAC (Social, Mobility, Analytics, Cloud, and which are currently canon IT support management processes. These solutions allow you to create new models of organization functioning in global markets with the use of strategic resources, which is the knowledge assisted solutions SMAC.

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

Directory of Open Access Journals (Sweden)

Christian Reyes

2007-07-01

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

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

International Nuclear Information System (INIS)

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

A knowledge-based system for fluidization studies

Energy Technology Data Exchange (ETDEWEB)

1990-04-01

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

Methodology for testing and validating knowledge bases

Science.gov (United States)

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

1987-01-01

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

Knowledge based system for control rod programming of BWRs

International Nuclear Information System (INIS)

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

1988-01-01

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

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

Science.gov (United States)

Vinarti, Retno; Hederman, Lucy

2018-01-01

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

Knowledge-based system for automatic MBR control.

Science.gov (United States)

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

2010-01-01

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

Knowledge-based processing for aircraft flight control

Science.gov (United States)

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

1994-01-01

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

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

Science.gov (United States)

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

2014-01-01

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

Tinkering with Knowledge

DEFF Research Database (Denmark)

Garsten, Christina

Think tanks, or policy institutes, are becoming significant ‘sites of normativity’ on the global political scene. While their primary concern often is to provide knowledge, based on which decision makers can make informed choices, they also play a part in setting organizational agendas...... and priorities, and in mobilizing for political action. Based on ethnographic fieldwork in think tanks in Washington DC, the paper engages with the modes representation used by policy experts as they strive to get traction and establish credibility for their ideas. The work of policy experts can be understood...

Development of knowledge base system linked to material database

International Nuclear Information System (INIS)

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

2002-01-01

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

Cross-cultural Knowledge Management

Directory of Open Access Journals (Sweden)

Dorel Mihai PARASCHIV

2009-01-01

Full Text Available The success of international companies in providing high quality products and outstanding services is subject, on the one hand, to the increasing dynamic of the economic environment and on the other hand to the adoption of worldwide quality standards and procedures. As market place is becoming more and more global, products and services offered worldwide by international companies must face the multi-cultural environment challenges. These challenges manifest themselves not only at customer relationship level but also deep inside companies, at employee level. Important support in facing all these challenges has been provided at cognitive level by management system models and at technological level by information cutting edge technologies Business Intelligence & Knowledge Management Business Intelligence is already delivering its promised outcomes at internal business environment and, with the explosive deployment of public data bases, expand its analytical power at national, regional and international level. Quantitative measures of economic environment, wherever available, may be captured and integrated in companies’ routine analysis. As for qualitative data, some effort is still to be done in order to integrate measures of social, political, legal, natural and technological environment in companies’ strategic analysis. An increased difficulty is found in treating cultural differences, common knowledge making the most hidden part of any foreign environment. Managing cultural knowledge is crucial to success in cultivating and maintaining long-term business relationships in multicultural environments. Knowledge Management provides the long needed technological support for cross-cultural management in the tedious task of improving knowledge sharing in multi-national companies and using knowledge effectively in international joint ventures. The paper is approaching the conceptual frameworks of knowledge management and proposes an unified model

"THE KNOWLEDGE TRIANGLE" IN A KNOWLEDGE-BASED SOCIETY

Directory of Open Access Journals (Sweden)

Rus Mircea-Iosif

2013-07-01

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

The economy of knowledge, collapse and depression

Directory of Open Access Journals (Sweden)

Ugo Pagano

2017-05-01

Full Text Available This paper reviews a recent strand of research emphasizing how the present institutions of the knowledge economy may be jeopardizing the very promise of growth and prosperity that the increased use of knowledge is generally reported to bring about. The excessive privatization of knowledge generates self-reinforcing vicious and virtuous circles of accumulation of intellectual property and investment in human capital, which increase global inequality. The present institutions of the global economy entail also a reduction of global investment opportunities that is one of the causes of the present global depression. Absent spontaneous antidotes to these phenomena, economic and science policies should aim at redressing the balance between public and private knowledge. Because of the distortion of incentives, stemming from uncompensated knowledge externalities at the international level, these policies should necessarily be coordinated at global level.

Media Consumption and Creation in Attitudes Toward and Knowledge of Inflammatory Bowel Disease: Web-Based Survey

Science.gov (United States)

Basil, Miles; Guo, Ling; Parker Ward, Sarah; Farraye, Francis A; Reich, Jason

2017-01-01

Background Inflammatory bowel disease (IBD) is a chronic gastrointestinal condition affecting over 5 million people globally and 1.6 million in the United States but currently lacks a precisely determined cause or cure. The range of symptoms IBD patients experience are often debilitating, and the societal stigmas associated with some such symptoms can further degrade their quality of life. Better understanding the nature of this public reproach then is a critical component for improving awareness campaigns and, ultimately, the experiences of IBD patients. Objective The objective of this study was to explore and assess the public’s awareness and knowledge of IBD, as well as what relationship, if any, exists between the social stigma surrounding IBD, knowledge of the disease, and various media usage, including social media. Methods Utilizing a Web-based opt-in platform, we surveyed a nationally representative sample (n=1200) with demographics mirroring those of the US Census figures across baseline parameters. Using constructed indices based on factor analysis, we were able to build reliable measures of personal characteristics, media behaviors, and perceptions and knowledge of IBD. Results Among the American public, IBD is the most stigmatized of seven diseases, including genital herpes and human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS). Additionally, IBD knowledge is generally low with 11.08% (133/1200) of the sample indicating no familiarity with the disease and 85.50% (1026/1200) of participants inaccurately answering two-thirds of the IBD index questions with which their knowledge was assessed. Increased knowledge of IBD is associated with lower levels of stigma. However, social media use is currently related to lower levels of IBD knowledge (Pcommunication solutions. PMID:29222081

Knowledge-based reasoning in the Paladin tactical decision generation system

Science.gov (United States)

Chappell, Alan R.

1993-01-01

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

Knowledge bases for modelisation of industrial plants

International Nuclear Information System (INIS)

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

1992-01-01

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

Temperature-based estimation of global solar radiation using soft computing methodologies

Science.gov (United States)

Mohammadi, Kasra; Shamshirband, Shahaboddin; Danesh, Amir Seyed; Abdullah, Mohd Shahidan; Zamani, Mazdak

2016-07-01

Precise knowledge of solar radiation is indeed essential in different technological and scientific applications of solar energy. Temperature-based estimation of global solar radiation would be appealing owing to broad availability of measured air temperatures. In this study, the potentials of soft computing techniques are evaluated to estimate daily horizontal global solar radiation (DHGSR) from measured maximum, minimum, and average air temperatures ( T max, T min, and T avg) in an Iranian city. For this purpose, a comparative evaluation between three methodologies of adaptive neuro-fuzzy inference system (ANFIS), radial basis function support vector regression (SVR-rbf), and polynomial basis function support vector regression (SVR-poly) is performed. Five combinations of T max, T min, and T avg are served as inputs to develop ANFIS, SVR-rbf, and SVR-poly models. The attained results show that all ANFIS, SVR-rbf, and SVR-poly models provide favorable accuracy. Based upon all techniques, the higher accuracies are achieved by models (5) using T max- T min and T max as inputs. According to the statistical results, SVR-rbf outperforms SVR-poly and ANFIS. For SVR-rbf (5), the mean absolute bias error, root mean square error, and correlation coefficient are 1.1931 MJ/m2, 2.0716 MJ/m2, and 0.9380, respectively. The survey results approve that SVR-rbf can be used efficiently to estimate DHGSR from air temperatures.

Knowledge and knowledge bases in the learning process og polish companies

DEFF Research Database (Denmark)

Lorentzen, Anne

2003-01-01

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

Contributing Knowledge and Knowledge Workers: The Role of Chinese Universities in the Knowledge Economy

Science.gov (United States)

Chen, Shuang-Ye

2012-01-01

As China has appeared only recently as an important knowledge producer with growing global economic significance, little is known internationally about how these processes develop and are managed within China. The rapidly expanding Chinese higher education system is playing an increasingly important role in China's knowledge economy and therefore…

The Coming of Knowledge-Based Business.

Science.gov (United States)

Davis, Stan; Botkin, Jim

1994-01-01

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

A knowledge-based system for prototypical reasoning

Science.gov (United States)

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

2015-04-01

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

New Temperature-based Models for Predicting Global Solar Radiation

International Nuclear Information System (INIS)

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

New global ICT-based business models

DEFF Research Database (Denmark)

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...

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

International Nuclear Information System (INIS)

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

1998-01-01

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

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

International Nuclear Information System (INIS)

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

1997-01-01

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

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

National Research Council Canada - National Science Library

Tecuci, Gheorghe

2000-01-01

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

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

Science.gov (United States)

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

2016-01-01

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

Knowledge-based interpretation of cranial MR images

International Nuclear Information System (INIS)

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

1987-01-01

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

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

Science.gov (United States)

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

2014-01-01

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

Big Data Analytics in Immunology: A Knowledge-Based Approach

Directory of Open Access Journals (Sweden)

Guang Lan Zhang

2014-01-01

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

User-based and Cognitive Approaches to Knowledge Organization

DEFF Research Database (Denmark)

Hjørland, Birger

2013-01-01

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

The HEP Software and Computing Knowledge Base

Science.gov (United States)

Wenaus, T.

2017-10-01

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

Invisible Light: a global infotainment community based on augmented reality technologies

Science.gov (United States)

Israel, Kai; Wozniak, Peter; Vauderwange, Oliver; Curticapean, Dan

2015-10-01

Theoretical details about optics and photonics are not common knowledge nowadays. Physicists are keen to scientifically explain `light,' which has a huge impact on our lives. It is necessary to examine it from multiple perspectives and to make the knowledge accessible to the public in an interdisciplinary, scientifically well-grounded and appealing medial way. To allow an information exchange on a global scale, our project "Invisible Light" establishes a worldwide accessible platform. Its contents will not be created by a single instance, but user-generated, with the help of the global community. The article describes the infotainment portal "Invisible Light," which stores scientific articles about light and photonics and makes them accessible worldwide. All articles are tagged with geo-coordinates, so they can be clearly identified and localized. A smartphone application is used for visualization, transmitting the information to users in real time by means of an augmented reality application. Scientific information is made accessible for a broad audience and in an attractive manner.

Knowledge-based Fragment Binding Prediction

Science.gov (United States)

Tang, Grace W.; Altman, Russ B.

2014-01-01

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

Knowledge is power and power affects Knowledge: Challenges for ...

African Journals Online (AJOL)

This article engages with the challenges facing genuine research collaboration and knowledge production in a North–South interaction. It maps the asymmetries in global knowledge production in general and revisits African realities in particular. Using the experiences of the Norwegian research programme NORGLOBAL ...

Identification of Managerial Competencies in Knowledge-based Organizations

Directory of Open Access Journals (Sweden)

Königová Martina

2012-03-01

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

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

International Nuclear Information System (INIS)

Bao Shiyi; Zhou Yu; He Shuyan

2003-01-01

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

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

Science.gov (United States)

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…

Knowledge-Based Economy as a Foundation for the Economic Development of Countries

Directory of Open Access Journals (Sweden)

Santos LOPEZ-LEYVA

2017-12-01

Full Text Available This paper highlights the relationship between knowledge and economic development. The study considers nine countries grouped in three different development models: 1 the Asian model includes Japan, the Republic of Korea, and Singapore; 2 the Anglo-Saxon model includes the United Kingdom, the United States, and Canada and 3 the European model includes Germany, France, and the Netherlands. The data was sourced from the Global Competitiveness Report of the World Economic Forum, the PISA reports, the Academic Ranking of World Universities (ARWU and the Global Innovation Index of the World Bank. The Asian group ranked highest for innovation as shown through the application of patents; they also obtained the highest scores in the PISA test. The Anglo-Saxon group stood out by having a good institutionalized knowledge system. From the European group, Germany is recognized by its innovation capabilities and the Netherlands by the quality of its higher education.

Semantic computing and language knowledge bases

Science.gov (United States)

Wang, Lei; Wang, Houfeng; Yu, Shiwen

2017-09-01

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

Knowledge Governance in Project-Based Organizations

DEFF Research Database (Denmark)

Pemsel, Sofia; Wiewiora, Anna; Müller, Ralf

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

Knowledge-based simulation using object-oriented programming

Science.gov (United States)

Sidoran, Karen M.

1993-01-01

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

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

Science.gov (United States)

Callaghan, Chris William

2017-12-01

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

Space nuclear reactor system diagnosis: Knowledge-based approach

International Nuclear Information System (INIS)

Ting, Y.T.D.

1990-01-01

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

Presentation planning using an integrated knowledge base

Science.gov (United States)

Arens, Yigal; Miller, Lawrence; Sondheimer, Norman

1988-01-01

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

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

Indian Academy of Sciences (India)

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

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

African Journals Online (AJOL)

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

Formal Support for Development of Knowledge-Based Systems

NARCIS (Netherlands)

Fensel, Dieter; Van Harmelen, Frank; Reif, Wolfgang; Ten Teije, Annette

1998-01-01

This article provides an approach for developing reliable knowledge-based systems. Its main contributions are: Specification is done at an architectural level that abstracts from a specific implementation formalism. The model of expertise of CommonKADS distinguishs different types of knowledge and

A selective review of knowledge-based approaches to database design

Directory of Open Access Journals (Sweden)

Shahrul Azman Noah

1995-01-01

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

Knowledge-Based Reinforcement Learning for Data Mining

Science.gov (United States)

Kudenko, Daniel; Grzes, Marek

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

An Analysis of Globalization and Higher Education in Malaysia

Science.gov (United States)

Arokiasamy, Anantha Raj A.

2011-01-01

This study aims to examine the impact of globalization on private higher education in Malaysia. The impact of globalization and the development of knowledge-based economy have caused much dramatic change to the character and functions of higher education in Malaysia. The major trend is the reforming and restructuring of private higher education in…

R&D networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme

Directory of Open Access Journals (Sweden)

Manuela Korber

2014-06-01

Full Text Available Publicly funded competence centres have gained high recognition for improving science-industry collaboration. With the requirement for long-term and geographically concentrated R&D, competence centres provide an environment for joint learning and transfer of “sticky” knowledge. The objective of this paper is to investigate how a competence centres programme affects knowledge production in the regional innovation system. In order to address this issue, we draw on a simulation approach and develop an agent-based model of the Vienna Life Sciences innovation system. Companies, research organisations and universities are heterogeneous agents that create scientific publications, patents, as well as high-tech jobs. Simulation runs refer to long-term scenarios regarding the level and duration of public funding. By addressing the complexities of knowledge interaction in the context of the “local buzz” versus “global pipelines” discussion, the results show the potential of empirically calibrated simulation models for ex-ante impact assessment in R&D policy.

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

Science.gov (United States)

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.

Knowledge Sharing for Common Understanding of Technical Specifications Through Artifactual Culture

DEFF Research Database (Denmark)

Zahedi, Mansooreh; Babar, Muhammad Ali

2014-01-01

Context: Software engineering is a knowledge intensive activity that is supported by documenting and sharing the required knowledge through a wide variety of artifacts. Global Software Development (GSD) teams heavily rely on artifacts as a vital means of knowledge sharing. However, there is little...... empirical knowledge about the key reasons and practices of using artifacts in GSD for knowledge sharing to support common understanding of technical specifications. Objective: This study aims at empirically studying the key motivators, practices, and drawbacks of artifact-based knowledge sharing...... specification knowledge. We also present the practices that make up the artifact-based knowledge sharing system in the studied case. Finally, we shed some light on the caveats of knowledge sharing practices adopted by the studied company. The findings can provide useful insights into the artifact...

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

International Nuclear Information System (INIS)

Park, Joo Hyun; Seong, Poong Hyun

1998-01-01

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

Knowledge representation to support reasoning based on multiple models

Science.gov (United States)

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

1990-01-01

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

Global Prioritization of Disease Candidate Metabolites Based on a Multi-omics Composite Network

Science.gov (United States)

Yao, Qianlan; Xu, Yanjun; Yang, Haixiu; Shang, Desi; Zhang, Chunlong; Zhang, Yunpeng; Sun, Zeguo; Shi, Xinrui; Feng, Li; Han, Junwei; Su, Fei; Li, Chunquan; Li, Xia

2015-01-01

The identification of disease-related metabolites is important for a better understanding of metabolite pathological processes in order to improve human medicine. Metabolites, which are the terminal products of cellular regulatory process, can be affected by multi-omic processes. In this work, we propose a powerful method, MetPriCNet, to predict and prioritize disease candidate metabolites based on integrated multi-omics information. MetPriCNet prioritized candidate metabolites based on their global distance similarity with seed nodes in a composite network, which integrated multi-omics information from the genome, phenome, metabolome and interactome. After performing cross-validation on 87 phenotypes with a total of 602 metabolites, MetPriCNet achieved a high AUC value of up to 0.918. We also assessed the performance of MetPriCNet on 18 disease classes and found that 4 disease classes achieved an AUC value over 0.95. Notably, MetPriCNet can also predict disease metabolites without known disease metabolite knowledge. Some new high-risk metabolites of breast cancer were predicted, although there is a lack of known disease metabolite information. A predicted disease metabolic landscape was constructed and analyzed based on the results of MetPriCNet for 87 phenotypes to help us understand the genetic and metabolic mechanism of disease from a global view. PMID:26598063

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

International Nuclear Information System (INIS)

Kwon, Il Won; Seong, Poong Hyun

1995-01-01

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

Creative economy and knowledge-based society. Perspectives for Romania

Directory of Open Access Journals (Sweden)

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

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

NARCIS (Netherlands)

Crespo, Joan; Vicente, Jérôme

2016-01-01

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

Knowledge base technology: a developer view

Directory of Open Access Journals (Sweden)

G. Ginkul

1996-09-01

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

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

DEFF Research Database (Denmark)

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....

Knowledge based systems for intelligent robotics

Science.gov (United States)

Rajaram, N. S.

1982-01-01

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

An Ebola virus-centered knowledge base

Science.gov (United States)

Kamdar, Maulik R.; Dumontier, Michel

2015-01-01

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

An Ebola virus-centered knowledge base.

Science.gov (United States)

Kamdar, Maulik R; Dumontier, Michel

2015-01-01

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

What is the Knowledge Society?

Directory of Open Access Journals (Sweden)

Marin Dinu

2008-02-01

Full Text Available This study sets out to establish conceptual delimitations, more concordant to the theoretical acquisitions with regard to the knowledge society. The author considers it opportune to situate in the center of the definition of the concept of knowledge society the problem of prevalence in the typology of resources. Thus, the knowledge society appears as a form of organization in which scientific knowledge predominates, be that informatics as well. The concordances of essence are discovered through the discerning of the functional relationship knowledge society – global society. In the spectrum of meanings specific to this highway of post-postmodernist configuration of the world, the priorities of the project of the second modernity – the paradigmatic matrix of globalization – are approached. In fact, the study argues in favor of refocusing globalization on the humane, on its distinctive values which substantiate and lend sense to the evolutions of the world. Postreferentiality is the rational expression of humanity coming back to itself.

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

International Nuclear Information System (INIS)

Qin Kai; Zhao Yingjun

2008-01-01

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

Knowledge-based network ties in early rapidly internationalising small firms

DEFF Research Database (Denmark)

Masango, Shingairai Grace; Marinova, Svetla Trifonova

2014-01-01

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

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

Science.gov (United States)

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

1988-01-01

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

Weather, knowledge base and life-style

Science.gov (United States)

Bohle, Martin

2015-04-01

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

A Representation System User Interface for Knowledge Base Designers

OpenAIRE

Fikes, Richard E.

1982-01-01

A major strength of frame-based knowledge representation languages is their ability to provide the knowledge base designer with a concise and intuitively appealing means expression. The claim of intuitive appeal is based on the observation that the object -centered style of description provided by these languages often closely matches a designer's understanding of the domain being modeled and therefore lessens the burden of reformulation involved in developing a formal description. To be effe...

Optimal phase estimation with arbitrary a priori knowledge

International Nuclear Information System (INIS)

Demkowicz-Dobrzanski, Rafal

2011-01-01

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

SPRINT RA 230: Methodology for knowledge based developments

International Nuclear Information System (INIS)

Wallsgrove, R.; Munro, F.

1991-01-01

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

Satellite Contamination and Materials Outgassing Knowledge base

Science.gov (United States)

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

2001-01-01

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

The representation of knowledge within model-based control systems

International Nuclear Information System (INIS)

Weygand, D.P.; Koul, R.

1987-01-01

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

Toward global planning of sustainable use of the earth. Development of global eco-engineering

Energy Technology Data Exchange (ETDEWEB)

Murai, S [ed.; School of Advanced Technologies, Asian Institute of Technology, Bangkok (Thailand)

1995-07-01

Better understanding of global environmental systems and the magnitude of human impacts is the most fundamental research task for developing an ecologically sound basis for the continuous human habitation and sustainable development of the earth`s limited resources. Although many research projects are already underway to begin addressing these issues, using global data mainly obtained from remote sensing technologies, our knowledge is far from sufficient. This volume is intended to promote further research towards the development of global eco-engineering which is seeking continuous human habitation and improvement of human welfare, based on the sustainable utilization of global environmental resources and preservation of global eco-systems. In the 42 papers in this volume a variety of disciplines is covered, including remote sensing, geography, meteorology, biology, biochemistry, ecology, marines science, hydrology, agriculture, environmental engineering, urban planning, social science, economy, ethics and philosophy. 160 figs., 66 tabs., 760 refs.

Knowledge rule base for the beam optics program TRACE 3-D

International Nuclear Information System (INIS)

Gillespie, G.H.; Van Staagen, P.K.; Hill, B.W.

1993-01-01

An expert system type of knowledge rule base has been developed for the input parameters used by the particle beam transport program TRACE 3-D. The goal has been to provide the program's user with adequate on-screen information to allow him to initially set up a problem with minimal open-quotes off-lineclose quotes calculations. The focus of this work has been in developing rules for the parameters which define the beam line transport elements. Ten global parameters, the particle mass and charge, beam energy, etc., are used to provide open-quotes expertclose quotes estimates of lower and upper limits for each of the transport element parameters. For example, the limits for the field strength of the quadrupole element are based on a water-cooled, iron-core electromagnet with dimensions derived from practical engineering constraints, and the upper limit for the effective length is scaled with the particle momenta so that initially parallel trajectories do not cross the axis inside the magnet. Limits for the quadrupole doublet and triplet parameters incorporate these rules and additional rules based on stable FODO lattices and bidirectional focusing requirements. The structure of the rule base is outlined and examples for the quadrupole singlet, doublet and triplet are described. The rule base has been implemented within the Shell for Particle Accelerator Related Codes (SPARC) graphical user interface (GUI)

A diagnostic expert system for NPP based on hybrid knowledge approach

International Nuclear Information System (INIS)

Yang, Joon On; Chang, Soon Heung

1989-01-01

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

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

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

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

Toward an Improved Understanding of the Global Fresh Water Budget

Science.gov (United States)

Hildebrand, Peter H.

2005-01-01

The major components of the global fresh water cycle include the evaporation from the land and ocean surfaces, precipitation onto the Ocean and land surfaces, the net atmospheric transport of water from oceanic areas over land, and the return flow of water from the land back into the ocean. The additional components of oceanic water transport are few, principally, the mixing of fresh water through the oceanic boundary layer, transport by ocean currents, and sea ice processes. On land the situation is considerably more complex, and includes the deposition of rain and snow on land; water flow in runoff; infiltration of water into the soil and groundwater; storage of water in soil, lakes and streams, and groundwater; polar and glacial ice; and use of water in vegetation and human activities. Knowledge of the key terms in the fresh water flux budget is poor. Some components of the budget, e.g. precipitation, runoff, storage, are measured with variable accuracy across the globe. We are just now obtaining precise measurements of the major components of global fresh water storage in global ice and ground water. The easily accessible fresh water sources in rivers, lakes and snow runoff are only adequately measured in the more affluent portions of the world. presents proposals are suggesting methods of making global measurements of these quantities from space. At the same time, knowledge of the global fresh water resources under the effects of climate change is of increasing importance and the human population grows. This paper provides an overview of the state of knowledge of the global fresh water budget, evaluating the accuracy of various global water budget measuring and modeling techniques. We review the measurement capabilities of satellite instruments as compared with field validation studies and modeling approaches. Based on these analyses, and on the goal of improved knowledge of the global fresh water budget under the effects of climate change, we suggest

Arranging ISO 13606 archetypes into a knowledge base.

Science.gov (United States)

Kopanitsa, Georgy

2014-01-01

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

An Ontology-Based Knowledge Modelling for a Sustainability Assessment Domain

Directory of Open Access Journals (Sweden)

Agnieszka Konys

2018-01-01

Full Text Available Sustainability assessment has received more and more attention from researchers and it offers a large number of opportunities to measure and evaluate the level of its accomplishment. However, proper selection of a particular sustainability assessment approach, reflecting problem properties and the evaluator’s preferences, is a complex and important issue. Due to an existing number of different approaches dedicated to assessing, supporting, or measuring the level of sustainability and their structure oriented on the particular domain usage, problems with accurate matching frequently occur. On the other hand, the efficiency of sustainability assessment depends on the available knowledge of the ongoing capabilities. Additionally, actual research trends confirm that knowledge engineering gives a method to handle domain knowledge practically and effectively. Unfortunately, literature studies confirm that there is a lack of knowledge systematization in the sustainability assessment domain, however. The practical application of knowledge-based mechanisms may cover this gap. In this paper, we provide formal, practical and technological guidance to a knowledge management-based approach to sustainability assessment. We propose ontology as a form of knowledge conceptualization and using knowledge engineering, we make gathered knowledge publicly available and reusable, especially in terms of interoperability of collected knowledge.