Conferences related to Knowledge Management

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2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)

Theory, development, application and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP)

    Theory, development, application, and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2012 International Conference on Information Retrieval & Knowledge Management (CAMP)

    INFORMATION RETRIEVAL IR Theory and Formal Models Cross-language retrieval, Multilingual retrieval, Machine translation for IR Web IR and Social media search Semi-structured information retrieval and Semantic search Interactive IR, Task-based IR User studies and models, User interfaces and visualization Multimedia IR KNOWLEDGE MANAGEMENT Knowledge engineering Digital Libraries, enterprise search, intranet search, and desktop search Social network Knowledge Intelligence Knowledge and privacy Knowledge synthesis and visualization Web and Social Knowledge Management Metadata and structured documents COMPUTATIONAL LINGUISTIC Text representation, text analysis, text summarization Collaborative filtering Text Categorization Text Clustering Question answering, Lexical acquisition Dialog System Machine Translation

  • 2010 International Conference on Information Retrieval & Knowledge Management (CAMP)

    CAMP'10 is an international scientific conference for research in the field of information retrieval and knowledge management. Information retrieval is the art and science of retrieving from a collection of items a subset that serves the user s purpose. While, knowledge management comprises a range of practices used in an organization to identify, create, represent, distribute and enable adoption of insights and experiences. The two areas intertwined as information retrieval provides means of knowledge i


2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)

Agile and Complex systems, AI, Decision support systems & optimisation, Medical Informatics & eHealth, Systems Biology and Bioinformatics, Big data, Business ecosystems modelling & simulation, Business intelligence, Cloud computing, Collaborative systems, Complex system management, Data engineering & mining, Distribution systems & strategies, E-Learning & technology enhanced learning, Enterprise interoperability, E-strategy & e-Business models, e-Tourism, Future Internets, Fuzzy, GA & neural systems, Human factors, Human adaptive mechatronics, Information search & retrieval, Information interfaces & presentation, Information systems & infrastructure, Intelligent control and robotics, Intelligent manufacturing systems, Internet of things, Knowledge based entrepreneurship, Life-cycle engineering and PLM, Mobile technology, Modern production management & mechatronics, Multi-level multi-objective optimisation, Network-based comp

  • 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA)

    The SKIMA conference aims to bring together researchers and experts in Knowledge Management, Software Engineering and Information Systems to share their ideas, experiences and insights. This conference series was started in an international collaboration context between research professionals in Western and Asian countries in Chiang Mai, Thailand 2006. Subsequently, the next SKIMA conferences were organized in Kathmandu, Nepal in 2008; Fez, Morocco in 2009; Paro, Bhutan in 2010; Benevento, Italy in 2011, Chengdu, China in 2012, Chiang Mai, Thailand in 2013, Dhaka, Bangladesh in 2014, Kathmandu, Nepal 2015. We welcome researchers and practitioners from research institutions, R&D enterprise services and governmental organizations to exchange innovative contributions around the conference topics.

  • 2015 9th International Conference on Software, Knowledge, Information Management and Applications(SKIMA)

    • Agile and Complex systems• AI, Decision support systems & optimisation• Medical Informatics & eHealth• Systems Biology and Bioinformatics• Business ecosystems modelling & simulation• Business intelligence• Cloud computing• Collaborative systems• Complex system management• Data engineering & mining• Distribution systems & strategies• E-Learning & technology enhanced learning• Enterprise interoperability• E-strategy & e-Business models• e-Tourism• Future Internets• Fuzzy, GA & neural systems• Human factors• Human adaptive mechatronics• Information search & retrieval• Information interfaces & presentation• Information systems & infrastructure• Intelligent control and robotics• Intelligent manufacturing systems• Internet of things • KM techniques & Multi-agent systems• Knowledge based entrepreneurship• Life-cycle engineering and PLM• Mobile technology• Modern production management & mechatronics• Multi-level multi-objective optimization• Network-based comp

  • 2014 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)

    The conference focuses on the following areas:1. Knowledge Management techniques and approaches2. Information Systems 3. Software Engineering 4. Intelligent Applications5. Computer Networks6. Telemedecine 7. Communication Engineering

  • 2011 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

    The 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA 2011) is an international opportunity for Professors, Researchers, Industrial Experts and doctorals in knowledge management, software engineering, Industrial Engineering and information systems to share their knowledge, ideas and experience and to present their research results, software engineering, industrial engineering, and information systems.


2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

It covers practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. The topics include: Foundations of Intelligent Systems; Knowledge Engineering and Management; Practical Applications and Systems.


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


2017 16th International Conference on Information Technology Based Higher Education and Training (ITHET)

The convergence of current technologies provides the infrastructure for transmitting and storing information faster and cheaper. For information to be used in gaining knowledge, however, environments for collecting, storing, disseminating, sharing and constructing knowledge are needed. Such environments, knowledge media, brings together telecommunication, computer and networking technologies, learning theories and cognitive sciences to form meaningful environments that provides for a variety of learner needs. ITHET 2017 will continue with the traditional themes of previous events. However, our special theme for this year is a fundamental one. We seldom talk about MOOCs any more. They are part of the infrastructure. Even “Blended Learning” is what we all do anyway. What we would like to talk about this year is the fundamental purpose of our educational system. Technology has placed knowledge everywhere. "Just Google it".


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Periodicals related to Knowledge Management

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Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Engineering Management Review, IEEE

Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today's literature without having to subscribe to and read other periodicals.


Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


Internet Computing, IEEE

IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and ...


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Most published Xplore authors for Knowledge Management

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Xplore Articles related to Knowledge Management

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Use Of Systems Analysis Techniques In Ocean Resources Development

M. G. Johnson Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754399.png)


Computer aided tuning and validation of fuzzy systems

A. Boscolo; F. Drius [1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1992

A set of tools to support the design of fuzzy controllers is illustrated. The tools, based upon dedicated optimization algorithms, allow the tuning and the validation of the fuzzy models. A modified Monte Carlo method has been developed to define stochastic algorithms to complement the deterministic approach, because of the peculiar structure of the systems addressed. The authors show that ...


(t, λ)-Uniqueness: Anonymity Management for Data Publication

Qiong Wei; Yansheng Lu; Qiang Lou Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008), 2008

Recent work has shown that the adversary's background knowledge is a very important factor in privacy-preserving data publishing. In this paper, we formalize background knowledge h of form "an individual X's sensitive value belongs to class C or range W. Through analyzing the drawbacks of previous approaches in dealing with this form of background knowledge, we develop a novel privacy ...


Toward a collaborative method for knowledge management of software architectural decisions based on trust

Marzie Samghani Nejad; Shahrouz Moaven; Jafar Habibi; Razie Alidousti 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015

Design and implementation of Architecture is a knowledge-driven process. Evaluation and verification the knowledge, in order to ensure its quality, have important role in improving overall design process. Furthermore, Architectural decision making is a complex and multi-criteria decision making problem in which multiple stakeholders make decisions from their perspectives causing overlaps and conflicts in the adopted decisions. Therefore, the requirement ...


Study of Document Security Management in Cooperative Learning System

Xin Yu; Yu Bai; Hongyu Sheng 2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009

With the rapid development of multimedia network technology, the traditional teaching modes and learning styles have undergone profound changes. Collaborative learning is just a new teaching mode that comes into being under contemporary teaching circumstance. It is important to train students' cooperative spirit and innovative consciousness. But current collaborative learning system faces with some issues such as security of document. ...


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Educational Resources on Knowledge Management

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eLearning

Use Of Systems Analysis Techniques In Ocean Resources Development

M. G. Johnson Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754399.png)


Computer aided tuning and validation of fuzzy systems

A. Boscolo; F. Drius [1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1992

A set of tools to support the design of fuzzy controllers is illustrated. The tools, based upon dedicated optimization algorithms, allow the tuning and the validation of the fuzzy models. A modified Monte Carlo method has been developed to define stochastic algorithms to complement the deterministic approach, because of the peculiar structure of the systems addressed. The authors show that ...


(t, λ)-Uniqueness: Anonymity Management for Data Publication

Qiong Wei; Yansheng Lu; Qiang Lou Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008), 2008

Recent work has shown that the adversary's background knowledge is a very important factor in privacy-preserving data publishing. In this paper, we formalize background knowledge h of form "an individual X's sensitive value belongs to class C or range W. Through analyzing the drawbacks of previous approaches in dealing with this form of background knowledge, we develop a novel privacy ...


Toward a collaborative method for knowledge management of software architectural decisions based on trust

Marzie Samghani Nejad; Shahrouz Moaven; Jafar Habibi; Razie Alidousti 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015

Design and implementation of Architecture is a knowledge-driven process. Evaluation and verification the knowledge, in order to ensure its quality, have important role in improving overall design process. Furthermore, Architectural decision making is a complex and multi-criteria decision making problem in which multiple stakeholders make decisions from their perspectives causing overlaps and conflicts in the adopted decisions. Therefore, the requirement ...


Study of Document Security Management in Cooperative Learning System

Xin Yu; Yu Bai; Hongyu Sheng 2009 Second International Symposium on Knowledge Acquisition and Modeling, 2009

With the rapid development of multimedia network technology, the traditional teaching modes and learning styles have undergone profound changes. Collaborative learning is just a new teaching mode that comes into being under contemporary teaching circumstance. It is important to train students' cooperative spirit and innovative consciousness. But current collaborative learning system faces with some issues such as security of document. ...


More eLearning Resources

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IEEE-USA E-Books

  • Digital Library Technologies:Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security

    Digital libraries (DLs) have introduced new technologies, as well as leveraging, enhancing, and integrating related technologies, since the early 1990s. These efforts have been enriched through a formal approach, e.g., the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework, which is discussed in two earlier volumes in this series. This volume should help advance work not only in DLs, but also in the WWW and other information systems. Drawing upon four (Kozievitch, Murthy, Park, Yang) completed and three (Elsherbiny, Farag, Srinivasan) in-process dissertations, as well as the efforts of collaborating researchers and scores of related publications, presentations, tutorials, and reports, this book should advance the DL field with regard to at least six key technologies. By integrating surveys of the state-of-the-art, new research, connections with formalization, case studies, and exercises/projects, this book can serve as a computing or information science textbook. It can upport studies in cyber-security, document management, hypertext/hypermedia, IR, knowledge management, LIS, multimedia, and machine learning. Chapter 1, with a case study on fingerprint collections, focuses on complex (composite, compound) objects, connecting DL and related work on buckets, DCC, and OAI-ORE. Chapter 2, discussing annotations, as in hypertext/hypermedia, emphasizes parts of documents, including images as well as text, managing superimposed information. The SuperIDR system, and prototype efforts with Flickr, should motivate further development and standardization related to annotation, which would benefit all DL and WWW users. Chapter 3, on ontologies, explains how they help with browsing, query expansion, focused crawling, and classification. This chapter connects DLs with the Semantic Web, and uses CTRnet as an example. Chapter 4, on (hierarchical) classification, leverages LIS theory, as well as machine learning, and is important for DLs as well as the WWW. Chapter 5 on extraction from text, covers document segmentation, as well as how to construct a database from heterogeneous collections of references (from ETDs); i.e., converting strings to canonical forms. Chapter 6 surveys the security approaches used in information systems, and explains how those approaches can apply to digital libraries which are not fully open. Given this rich content, those interested in DLs will be able to find solutions to key problems, using the right technologies and methods. We hope this book will help show how formal approaches can enhance the development of suitable technologies and how they can be better integrated with DLs and other information systems.

  • Knowledge Management Processes in Organizations:Theoretical Foundations and Examples of Practice

    Knowledge Management (KM) is an effort to increase useful knowledge in the organization. It is a natural outgrowth of late twentieth century movements to make organizational management and operations more effective, of higher quality, and more responsive to constituents in a rapidly changing global environment. This document traces the evolution of KM in organizations, summarizing the most influential research and literature in the field. It also presents an overview of selected common and current practices in knowledge management, including the relationship between knowledge management and decision making, with the intention of making a case for KM as a series of processes and not necessarily a manipulation of things. The final section highlights the use of social networking and commonly adopted Web applications to increase the value of social capital and to connect practitioners with clients and colleagues. Table of Contents: Introduction / Background Bibliographic Analysis / Theori ing Knowledge in Organizations / Conceptualizing Knowledge Emergence / Knowledge "Acts" / Knowledge Management in Practice / Knowledge Management Issues / Knowledge Management and Decision Making / Social Network Analysis and KM / Implications for the Future / Conclusion

  • About the Editors

    **Explores both counter-terrorism and enabling policy dimensions of emerging information technologies in national security** After the September 11th attacks, "connecting the dots" has become the watchword for using information and intelligence to protect the United States from future terrorist attacks. Advanced and emerging information technologies offer key assets in confronting a secretive, asymmetric, and networked enemy. Yet, in a free and open society, policies must ensure that these powerful technologies are used responsibly, and that privacy and civil liberties remain protected. Emergent Information Technologies and Enabling Policies for Counter-Terrorism provides a unique, integrated treatment of cutting-edge counter-terrorism technologies and their corresponding policy options. Featuring contributions from nationally recognized authorities and experts, this book brings together a diverse knowledge base for those charged with protecting our nation from terrorist at acks while preserving our civil liberties. **Topics covered include:** * Counter-terrorism modeling * Quantitative and computational social science * Signal processing and information management techniques * Semantic Web and knowledge management technologies * Information and intelligence sharing technologies * Text/data processing and language translation technologies * Social network analysis * Legal standards for data mining * Potential structures for enabling policies * Technical system design to support policy Countering terrorism in today's world requires innovative technologies and corresponding creative policies; the two cannot be practically and realistically addressed separately. Emergent Information Technologies and Enabling Policies for Counter-Terrorism offers a comprehensive examination of both areas, serving as an essential resource for students, practitioners, researchers, developers, and decision-makers.

  • Index

    **This book provides an introduction, discussion, and formal-based modelling of trust theory and its applications in agent-based systems** This book gives an accessible explanation of the importance of trust in human interaction and, in general, in autonomous cognitive agents including autonomous technologies. The authors explain the concepts of trust, and describe a principled, general theory of trust grounded on cognitive, cultural, institutional, technical, and normative solutions. This provides a strong base for the author's discussion of role of trust in agent-based systems supporting human-computer interaction and distributed and virtual organizations or markets (multi-agent systems). _**Key Features:**_ * Provides an accessible introduction to trust, and its importance and applications in agent-based systems * Proposes a principled, general theory of trust grounding on cognitive, cultural, institutional, technical, and normative sol tions * Offers a clear, intuitive approach, and systematic integration of relevant issues * Explains the dynamics of trust, and the relationship between trust and security * Offers operational definitions and models directly applicable both in technical and experimental domains * Includes a critical examination of trust models in economics, philosophy, psychology, sociology, and AI This book will be a valuable reference for researchers and advanced students focused on information and communication technologies (computer science, artificial intelligence, organizational sciences, and knowledge management etc.), as well as Web-site and robotics designers, and for scholars working on human, social, and cultural aspects of technology. Professionals of ecommerce systems and peer-to-peer systems will also find this text of interest.

  • Conclusion: Cultures of Invention and Knowledge Management in the Late Nineteenth and Early Twentieth Centuries

    This chapter contains sections titled: 8.1 Cultures of Contestation: Litigation and the (Un)Making of the Electrical Inventor, 8.2 Tribunals of Contestation in the Public Culture of Invention, 8.3 Economies of Credit vs. Political Economy, 8.4 Patent Regimes and Inventor Identity in Transition, 8.5 Coda: Reassessing the History of "Intellectual Property"

  • Solutions to Exercises

    **This book is an essential reference to cutting-edge issues and future directions in information retrieval** Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users' needs, tasks, and types of information. Today search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information _Retrieval: Searching in the 21st Century_ _Information Retrieval Focuses on:_ •Information Retrieval Models •User-centred Evaluation of Information Retrieval ystems •Multimedia Resource Discovery •Image Users' Needs and Searching Behaviour •Web Information Retrieval •Mobile Search •Context and Information Retrieval •Text Categorisation and Genre in Information Retrieval •Semantic Search •The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure •Cross-language Information Retrieval •Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate stu ents on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.

  • Sharing Expertise: The Next Step for Knowledge Management

    This chapter contains sections titled: Current Technical Possibilities for Knowledge Management, The Social-Technical Gap, Some Systems and Possibilities, Conclusions and Research Challenges, Acknowledgments, References

  • Supporting Knowledge Management in Emergency Crisis Management Domains: Envisioned Designs for Collaborative Work

    This chapter contains sections titled: Introduction Background Methodology Applications This chapter contains sections titled: Summary References

  • Facilitating Information Sharing Across Intelligence Community Boundaries Using Knowledge Management and Semantic Web Technologies

    This chapter contains sections titled: * Introduction * Barriers to Effective Knowledge Management * A Functional Architecture for Knowledge Management * Enabling Technologies and Challenges * Semantic Interoperability Services * Knowledge Generation and Capture Services * Knowledge Transfer Services * Policy Implementation Services This chapter contains sections titled: * Summary * Acknowledgments

  • Social Networks, Social Computing and Knowledge Management

    This chapter contains sections titled: Introduction Do Social Networks Matter? Knowledge Management Applications Future Research and Trends References



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