Communication Dans Un Congrès Année : 2016

An Extensible Linear Approach For Holistic Ontology Matching

Résumé

Resolving the semantic heterogeneity in the semantic web requires finding correspondences between ontologies describing resources. In particular, with the explosive growth of data sets in the Linked Open Data, linking multiple vocabularies and ontologies simultaneously, known as holistic matching problem, becomes necessary. Currently, most state-of-the-art matching approaches are limited to pairwise matching. In this paper, we propose a holistic ontology matching approach that is modeled through a linear program extending the maximum-weighted graph matching problem with linear constraints (cardinality, structural, and coherence constraints). Our approach guarantees the optimal solution with mostly coherent alignments. To evaluate our proposal, we discuss the results of experiments performed on the Conference track of the OAEI 2015, under both holistic and pairwise matching settings.

Fichier principal
Vignette du fichier
megdichebousarsar_17170.pdf (232.4 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-01485007 , version 1 (08-03-2017)

Licence

Identifiants

  • HAL Id : hal-01485007 , version 1

Citer

Imen Megdiche, Olivier Teste, Cassia Trojahn dos Santos. An Extensible Linear Approach For Holistic Ontology Matching. 15th International Semantic Web Conference (ISWC 2016), Oct 2016, Kobe, Japan. pp. 393-410. ⟨hal-01485007⟩
279 Consultations
440 Téléchargements

Partager

  • More