Document (#36334)

Author
Hüsken, P.
Title
Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation
Imprint
VDM Verlag : Saarbrücken
Year
2006
Pages
VI, 107 S
Isbn
978-3-86550-886-7
Abstract
Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.
Footnote
Zugl.: Dortmund, Univ., Dipl.-Arb., 2006 u.d.T.: Hüsken, Peter: Information-Retrieval im Semantic-Web.
Theme
Semantic Web
Wissensrepräsentation
RSWK
Information Retrieval / Semantic Web
BK
06.74 / Informationssysteme
54.72 / Künstliche Intelligenz
DDC
025.0402856332 / DDC22ger
GHBS
AZE (SI)
TWPN (SI)
RVK
ST 205
ST 270
ST 302
AN 95000

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