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doi:10.22028/D291-25007
Titel: | Task acquisition with a description logic reasoner |
VerfasserIn: | Buchheit, Martin Bürckert, Hans-Jürgen Hollunder, Bernhard Laux, Armin Nutt, Werner Wójcik, Marek |
Sprache: | Englisch |
Erscheinungsjahr: | 1995 |
Quelle: | Kaiserslautern ; Saarbrücken : DFKI, 1995 |
Kontrollierte Schlagwörter: | Künstliche Intelligenz |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Forschungsbericht (Report zu Forschungsprojekten) |
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 zu diesem Datensatz: | urn:nbn:de:bsz:291-scidok-38178 hdl:20.500.11880/25063 http://dx.doi.org/10.22028/D291-25007 |
Schriftenreihe: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Band: | 95-04 |
Datum des Eintrags: | 5-Jul-2011 |
Fakultät: | SE - Sonstige Einrichtungen |
Fachrichtung: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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RR_95_04.pdf | 321,9 kB | Adobe PDF | Öffnen/Anzeigen |
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