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|Abstract=Bibster is a semantics-based Peer-to-Peer system for exchanging bibliographic data among researchers. Bibster exploits ontologies in data storage, query formulation, query routing and answer presentation. While the original Bibster system assumed a globally shared domain ontology, we here describe extensions to the Bibster system, that allow to learn personalized ontologies from the local bibliographic metadata. These personal ontologies can not only be used for subsequently classifying the bibliographic metadata, but also for supporting an improved query refinement process. | |Abstract=Bibster is a semantics-based Peer-to-Peer system for exchanging bibliographic data among researchers. Bibster exploits ontologies in data storage, query formulation, query routing and answer presentation. While the original Bibster system assumed a globally shared domain ontology, we here describe extensions to the Bibster system, that allow to learn personalized ontologies from the local bibliographic metadata. These personal ontologies can not only be used for subsequently classifying the bibliographic metadata, but also for supporting an improved query refinement process. | ||
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Version vom 15. August 2009, 20:03 Uhr
On Personalized Information Retrieval in Semantics-Based Peer-to-Peer Systems
On Personalized Information Retrieval in Semantics-Based Peer-to-Peer Systems
Published: 2005
Herausgeber: W. Mueller and R. Schenkel
Buchtitel: Proceedings of the BTW-Workshop "WebDB Meets IR"
Referierte Veröffentlichung
BibTeX
Kurzfassung
Bibster is a semantics-based Peer-to-Peer system for exchanging bibliographic data among researchers. Bibster exploits ontologies in data storage, query formulation, query routing and answer presentation. While the original Bibster system assumed a globally shared domain ontology, we here describe extensions to the Bibster system, that allow to learn personalized ontologies from the local bibliographic metadata. These personal ontologies can not only be used for subsequently classifying the bibliographic metadata, but also for supporting an improved query refinement process.
Download: Media:2005_865_Haase_On_Personalized_1.pdf
Weitere Informationen unter: Link
Wissensmanagementsysteme, Peer-to-Peer, Ontology Engineering, Informationsextraktion, Ontology Learning, Semantic Web, Web Science, Ontologiebasierte Wissensmanagementsysteme