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Communication Dans Un Congrès Année : 2018

Boosting Holistic Ontology Matching : an Extended Linear Approach and its Evaluation on Graph Clique-based Relaxed Reference Alignments

Résumé

Ontology matching is the process of finding correspondences between entities from different ontologies. Whereas the field has fully developed in the last decades, most existing approaches are still limited to pairwise matching. However, in complex domains where several ontologies describing different but related aspects of the domain have to be linked together, matching multiple ontologies simultaneously, known as holistic matching, is required. In the absence of benchmarks dedicated to holistic matching evaluation, this paper presents a methodology for constructing pseudo-holistic reference alignments from available pairwise ones. We discuss the problem of relaxing graph cliques representing these alignments involving a different number of ontologies. We argue that fostering the development of holistic matching approaches depends on the availability of such data sets. We run our experiments on the OAEI Conference data set.

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Dates et versions

hal-02181969 , version 1 (12-07-2019)

Identifiants

  • HAL Id : hal-02181969 , version 1
  • OATAO : 22529

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Philippe Roussille, Imen Megdiche, Olivier Teste, Cassia Trojahn dos Santos. Boosting Holistic Ontology Matching : an Extended Linear Approach and its Evaluation on Graph Clique-based Relaxed Reference Alignments. 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), Nov 2018, Nancy, France. pp.355-369. ⟨hal-02181969⟩
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