Please use this identifier to cite or link to this item: doi:10.22028/D291-25007
Title: Task acquisition with a description logic reasoner
Author(s): Buchheit, Martin
Bürckert, Hans-Jürgen
Hollunder, Bernhard
Laux, Armin
Nutt, Werner
Wójcik, Marek
Language: English
Year of Publication: 1995
OPUS Source: Kaiserslautern ; Saarbrücken : DFKI, 1995
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: In many knowledge based systems the application domain is modeled in an object-centered formalism. Research in knowledge acquisition has given evidence that this approach allows one to adequately model the conceptual structures of human experts. However, when a novice user wants to describe a particular task to be solved by such a system he has to be well acquainted with the underlying domain model, and therefore is charged with the burden of making himself familiar with it. We aim at giving automated support to a user in this process, which we call task acquisition. This paper describes the TACOS system, which guides a user through an object-centered domain model and gives support to him in specifying his task. A characteristic of TACOS is that the user can enter only information that is meaningful and consistent with the domain model. In order to identify such information, TACOS exploits the ability of a description logic based knowledge representation system to reason about such models.
Link to this record: urn:nbn:de:bsz:291-scidok-38178
Series name: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Series volume: 95-04
Date of registration: 5-Jul-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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