An approach for the emerging ontology alignment based on the bees colonies

Carlos Rangel, José Aguilar, Mariela Cerrada, Junior Altamiranda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work is a research in the field of Ontologies Integration from the point of view of Ontology Mining based on Services. Specifically, the work focuses on an automatic suggestion of ontological alignments for users. The Ontology Mining area (OM) is very recent, due to the current trend of using ontologies as a mechanism for representing knowledge, which has created a wide field to explore and extract knowledge. The problem lies in the comparison of existing ontologies, in order to use them together, that is, finding their semantic equivalences. There are different techniques for ontologies alignment as a form of ontological comparison based on the matching of the concepts, which is a fundamental process in the ontologies integration. Each alignment technique uses different strategies; based on specific principles, which make it more adequate for a particular context. This paper proposes an automatic approach for comparison and selection of alignment techniques, given a group of ontologies, based on the ABC algorithm, which is inspire by bee colonies. The approach uses as comparison and selection criteria the execution time, the number of aligned concepts, and the number of times the colony chooses each technique (this is due to the stochastic approach of the ABC algorithm).

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015
EditorsDavid de la Fuente, Roger Dziegiel, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Jose A. Olivas, Todd Waskiewicz, George Jandieri, Hamid R. Arabnia
PublisherCSREA Press
Pages536-541
Number of pages6
ISBN (Electronic)1601324073, 9781601324078
ISBN (Print)1601324073
StatePublished - 1 Jan 2019
Event2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015 - Las Vegas, United States
Duration: 27 Jul 201530 Jul 2015

Publication series

NameProceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015

Conference

Conference2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015
CountryUnited States
CityLas Vegas
Period27/07/1530/07/15

Keywords

  • Alignment Techniques
  • Artificial Bee Colonies
  • Ontologies Alignment
  • Ontologies Integration
  • Ontology Mining
  • Search
  • Real-Time Strategy Games
  • Planning
  • Resources
  • Goals

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  • Cite this

    Rangel, C., Aguilar, J., Cerrada, M., & Altamiranda, J. (2019). An approach for the emerging ontology alignment based on the bees colonies. In D. de la Fuente, R. Dziegiel, E. B. Kozerenko, P. M. LaMonica, R. A. Liuzzi, J. A. Olivas, T. Waskiewicz, G. Jandieri, & H. R. Arabnia (Eds.), Proceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015 (pp. 536-541). (Proceedings of the 2015 International Conference on Artificial Intelligence, ICAI 2015 - WORLDCOMP 2015). CSREA Press.