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A New Approach Based on the Bee Optimization Algorithm for Ontology Alignment: ABCMap+

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  • Fatima Ardjani

    (Ctr Univ El Bayadh, Elbayadh, Algeria)

  • Djelloul Bouchiha

    (EEDIS Lab., Ctr Univ Naama, Elbayadh, Algeria)

Abstract

The ontology alignment process aims at generating a set of correspondences between entities of two ontologies. It is an important task, notably in the semantic web research, because it allows the joint consideration of resources defined in different ontologies. In this article, the authors developed an ontology alignment system called ABCMap+. It uses an optimization method based on artificial bee colonies (ABC) to solve the problem of optimizing the aggregation of three similarity measures of different matchers (syntactic, linguistic and structural) to obtain a single similarity measure. To evaluate the ABCMap+ ontology alignment system, authors considered the OAEI 2012 alignment system evaluation campaign. Experiments have been carried out to get the best ABCMap+'s alignment. Then, a comparative study showed that the ABCMap+ system is better than participants in the OAEI 2012 in terms of Recall and Precision.

Suggested Citation

  • Fatima Ardjani & Djelloul Bouchiha, 2019. "A New Approach Based on the Bee Optimization Algorithm for Ontology Alignment: ABCMap+," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 9(4), pages 13-22, October.
    • Handle: RePEc:igg:jirr00:v:9:y:2019:i:4:p:13-22
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