Document (#36334)

Author
Hüsken, P.
Title
Information Retrieval im Semantic Web
Source
http://www.is.informatik.uni-duisburg.de/bib/pdf/ir/Huesken:06.pdf
Imprint
Dortmund : Universität / Fachbereich Informati
Year
2006
Pages
VI, 107 S
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.
Content
Diplomarbeit am Fachbereich Informatik der Universität Dortmund
Theme
Semantic Web
Wissensrepräsentation

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