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2009 | OriginalPaper | Buchkapitel

Ontologies for Knowledge Management

verfasst von : Andreas Abecker, Ludger van Elst

Erschienen in: Handbook on Ontologies

Verlag: Springer Berlin Heidelberg

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Summary

Within Computer Science and Artificial Intelligence, the term ontologies was coined in the Knowledge Sharing and Reuse Effort, for efficient engineering of (distributed, cooperating) knowledge-based systems. It is not surprising that it soon entered the Knowledge Management (KM) area: Sharing and reuse of personal, group, and organizational knowledge are among the central goals aimed at in most KM projects. In this chapter we introduce the main ideas of KM, as well as the role of and requirements for information technology (IT) in KM. We discuss the potential of ontologies as elements in IT support for KM. We characterize their current role in research and practice, derive a working focus for the near future, and conclude with an outlook on trends in KM software and their implications on ontologies.

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Vorheriges Kapitel Browsing and Navigation in Semantically Rich Spaces

Nächstes Kapitel Application of Ontologies in Bioinformatics

The same dichotomy was also called personalization vs. codification strategy, organic vs. mechanistic approach, or community model vs. cognitive model view, see [1, 44].

For concrete software products it is sometimes difficult to clearly distinguish Type 1 and Type 2. But, for the purpose of this book, it is sufficient to clarify whether an application is based on explicit, formal ontologies, or not.

Like, for instance, the NeOn toolkit (http://www.neon-toolkit.org/), KAON (http://kaon.semanticweb.org),orProtégé(http://protege.stanford.edu),cp. [29].

Cp. Tadzebao, WebODE, or DILIGENT [29, 75].

See http://www.aic.nrl.navy.mil/~aha/lessons/, cp. [76].

Log entries of maintenance experience comprise fault events, maintenance measures, repair actions, etc.

One enabling factor for commercially successful visualization suites for knowledge organization and access, may have been the IEEE Topic Map standard, see http://www.topicmaps.org/. Topic maps are often seen a competitor to ontologies because they serve partially similar purposes, but have different roots, some incompatible basic design decisions, a different research community. However, they have partially similar goals and application areas and complementary strengths to the mainstream ontology approaches – in particular, the design for human understanding and manipulation – such that the authors see them allies in the long term, rather than competitors.

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Titel: Ontologies for Knowledge Management
verfasst von: Andreas Abecker
Ludger van Elst
Verlag: Springer Berlin Heidelberg
Buch: Handbook on Ontologies
Print ISBN: 978-3-540-70999-2

Electronic ISBN: 978-3-540-92673-3

Copyright-Jahr: 2009
DOI: https://doi.org/10.1007/978-3-540-92673-3_32

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