Community Research and Development Information Service - CORDIS

Duplicate detection methods & implementation

In Peer-to-Peer systems, the shared data is typically distributed redundantly with possibly inconsistent representations.

Consequently, one has to cope with query results that contain multiple instances that actually represent identical entities. To make query results useful, duplicates need to be detected. We developed an ontology-based model for duplicate detection using semantic similarity functions. We exemplarily instantiated the model for Bibster, a bibliographic Peer-to-Peer system, in which researchers share bibliographic metadata about publications.

More information on the SWAP -project can be found at:

Reported by

University of Karlsruhe
Institute AIFB
76128 Karlsruhe
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