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Probabilistic Information Integration and Retrieval in the Semantic Web.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Aberer, Karl
Choi, Key-Sun
Noy, Natasha
Allemang, Dean
Lee, Kyung-Il
Source :
The Semantic Web; 2008, p936-940, 5p
Publication Year :
2008

Abstract

The Semantic Web (SW) has been envisioned to enable software tools or Web Services, respectively, to process information provided on the Web automatically. For this purpose, languages for representing the semantics of data by means of ontologies have been proposed such as RDF(S) and OWL. While the semantics of RDF(S) requires a non-standard model-theory that goes beyond first order logics, OWL is intended to model subsets of first order logics. OWL consists of three variants that are layered on each other. The less expressive variants OWL-Light and OWL-DL correspond to the Description Logics $\mathcal{SHIF}$(D) and $\mathcal{SHOIN}$(D) [1], respectively, and thus to subsets of First Order Logics [2]. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540762973
Database :
Complementary Index
Journal :
The Semantic Web
Publication Type :
Book
Accession number :
33275343
Full Text :
https://doi.org/10.1007/978-3-540-76298-0_73