Agent-Mediated Knowledge Management
International Symposium AMKM 2003, Stanford, CA, USA, March 24-26, 2003, Revised and Invited Papers (Lecture Notes in Computer Science)
1 edition
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Author
Contributions
- Ludger van Elst (Editor) - Contributor
- Andreas Abecker (Editor) - Contributor
- Virginia Dignum (Editor) - Contributor
Publication
2004-03-19 - Springer
Language
English
Word Count
107,000 words, Guess
Page Count
428 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL9054513M
- ISBN-139783540208686
- ISBN-103540208682
- OCLC Control Number54034668
- OCLC Control Numberagentmediatedkno0000amkm
and 3 more
- Library of Congress Control Number2004041332
- Goodreads4088165
- LibraryThing6363905
Classifications
- LCCQ334-342QA75.5-76.95
Description
In this book, we present a collection of papers around the topic of Agent- Mediated Knowledge Management. Most of the papers are extended and - provedversions of work presented at the symposium on Agent-Mediated Kno- edge Management held during the AAAI Spring Symposia Series in March 2003 at Stanford University. The aim of the Agent-Mediated Knowledge Management symposium was to bring together researchers and practitioners of the ?elds of KM and agent te- nologiestodiscussthebene?ts,possibilitiesandadded-valueofcross-fertilization. Knowledge Management (KM) has been a predominant trend in bu- ness in recent years. Not only is Knowledge Management an important ?eld of applicationfor AIandrelatedtechniques,suchasCBRtechnologyforintelligent lessons-learned systems, it also provides new challenges to the AI community, like, for example, context-aware knowledge delivery. Scaling up research pro- typestoreal-worldsolutionsusuallyrequiresanapplication-drivenintegrationof several basic technologies, e.g., ontologies for knowledge sharing and reuse, c- laboration support like CSCW systems, and personalized information services. Typical characteristics to be dealt with in such an integration are: – manifold, logically and physically dispersed actors and knowledge sources, – di?erent degrees of formalization of knowledge, – di?erent kinds of (Web-based) services and (legacy) systems, – con?icts between local (individual) and global (group or organizational) goals.
First Sentence
Knowledge Management (KM) is defined as a systematic, holistic approach for sustain-ably improving the handling of knowledge on all levels of an organization (individual, group, organizational, and inter-organizational level) in order to support the organization's business goals, such as innovation, quality, cost effectiveness etc. (cp. [33]).
Subjects
Topics
Other Editions
- Agent-Mediated Knowledge Management: International Symposium AMKM 2003, Stanford, CA, USA, March 24-26, 2003, Revised and Invited Papers (Lecture Notes in Computer Science)
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