A Linear Program For Holistic Matching : Assessment on Schema Matching BenchmarkReport as inadecuate




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1 IRIT - Institut de recherche en informatique de Toulouse

Abstract : Schema matching is a key task in several applications such as data integration and ontology engineering. All application fields require the matching of several schemes also known as -holistic matching-, but the difficulty of the problem spawned much more attention to pairwise schema matching rather than the latter. In this paper, we propose a new approach for holistic matching. We suggest modelling the problem with some techniques borrowed from the combinatorial optimization field. We propose a linear program, named LP4HM, which extends the maximum-weighted graph matching problem with different linear constraints. The latter encompass matching setup constraints, especially cardinality and threshold constraints; and schema structural constraints, especially superclass-subclass and coherence constraints. The matching quality of LP4HM is evaluated on a recent benchmark dedicated to assessing schema matching tools. Experimentations show competitive results compared to other tools, in particular for recall and HSR quality measures

Keywords : Schema Matching Linear Programming Holistic Matching Matching Quality





Author: Alain Berro - Imen Megdiche-Bousarsar - Olivier Teste -

Source: https://hal.archives-ouvertes.fr/



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