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L2R: A Logical Method for Reference Reconciliation

By Fatiha Saïs, Nathalie Pernelle and Marie-Christine Rousset

Abstract

International audienceThe reference reconciliation problem consists in decid- ing whether different identifiers refer to the same data, i.e., correspond to the same world entity. The L2R sys- tem exploits the semantics of a rich data model, which extends RDFS by a fragment of OWL-DL and SWRL rules. In L2R, the semantics of the schema is translated into a set of logical rules of reconciliation, which are then used to infer correct decisions both of reconcilia- tion and no reconciliation. In contrast with other ap- proaches, the L2R method has a precision of 100% by construction. First experiments show promising results for recall, and most importantly significant increases when rules are added

Topics: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases, ACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.1: Mathematical Logic/F.4.1.7: Proof theory, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Publisher: HAL CCSD
Year: 2007
OAI identifier: oai:HAL:inria-00433004v1
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