An Integer Linear Programming-Based Method for the Extraction of Ontology Alignment

Naima El Ghandour, Moussa Benaissa and Yahia Lebbah
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Naima El Ghandour: LITIO Laboratory, Department of Computer Science, Université Oran1, Algeria
Moussa Benaissa: LITIO Laboratory, Department of Computer Science, Université Oran1, Algeria
Yahia Lebbah: LITIO Laboratory, Department of Computer Science, Université Oran1, Algeria

International Journal of Information Technology and Web Engineering (IJITWE), 2021, vol. 16, issue 2, 25-44

Abstract: The Semantic Web uses ontologies to cope with the data heterogeneity problem. However, ontologies become themselves heterogeneous; this heterogeneity may occur at the syntactic, terminological, conceptual, and semantic levels. To solve this problem, alignments between entities of ontologies must be identified. This process is called ontology matching. In this paper, the authors propose a new method to extract alignment with multiple cardinalities using integer linear programming techniques. The authors conducted a series of experiments and compared them with currently used methods. The obtained results show the efficiency of the proposed method.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jitwe0:v:16:y:2021:i:2:p:25-44

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