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Journal Article: BibTeX citation key:  Vogele2003a
T. Vögele, S. Hübner and G. Schuster, "BUSTER - An Information Broker for the Semantic Web", KI - Künstliche Intelligenz, iss. 3, pp. 31–34, July 2003.
Last edited by: Jan D. Gehrke 2008-07-19 14:31:59
 B 
Categories: AG-KI, IS, [ old ---- Adaptive Kommunikation --- old ]
Creators: Hübner, Schuster, Vögele
Collection: KI - Künstliche Intelligenz

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Abstract
The Bremen University Semantic Translator for Enhanced Retrieval (BUSTER) is an information broker middleware that was built to tackle the challenges of the Semantic Web. BUSTER is able to access heterogeneous and distributed information sources and to assess their conceptual, spatial, and temporal relevance with respect to a specific information request. BUSTER can also be used to integrate heterogeneous information through the resolution of structural, syntactical, and semantic heterogeneities. In this article, we focus on the application of BUSTER as a tool for intelligent search and information retrieval in the Semantic Web.
Last edited by: Jan D. Gehrke

 
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