OM-2010 : Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010) Shanghai, China, November 7, 2010
The problem of linking entities in heterogeneous and decentralized
data repositories is the driving force behind the data and knowledge integration
effort. In this paper, we describe our probabilistic-logical alignment system CODI
(Combinatorial Optimization for Data Integration). The system provides a declarative
framework for the alignment of individuals, concepts, and properties of two
heterogeneous ontologies. CODI leverages both logical schema information and
lexical similarity measures with a well-defined semantics for A-Box and T-Box
matching. The alignments are computed by solving corresponding combinatorial
optimization problems.
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