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.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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