Please use this identifier to cite or link to this item: doi:10.22028/D291-24957
Title: Issues in concurrent knowledge engineering : knowledge sharing and knowledge base evolution
Author(s): Meyer, Manfred
Language: English
Year of Publication: 1994
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1994
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: The development of knowledge-based (KB) systems for solving real-world problems has become a very time-consuming and expensive task. Over the last years, more and more people started to investigate how to share and reuse knowledge once it has been formally represented. Moreover, as the world around is changing continuously, the KB system and its knowledge base have to change, too. Thus, recently the issue of knowledge base evolution came up that deals with the continuous improvement of a KB system during its entire life-time starting with the first formalizations and still continuing along its practical use. We discuss the current efforts in knowledge sharing and reuse and then study the knowledge evolution approach, that can be seen more technically as an interleaved combination of knowledge validation and exploration techniques.
Link to this record: urn:nbn:de:bsz:291-scidok-37359
Series name: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Series volume: 94-36
Date of registration: 30-Jun-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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