Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching

  • Amina Annane
  • Zohra Bellahsene
  • Faiçal Azouaou
  • Clement Jonquet
Conference paper

DOI: 10.1007/978-3-319-49004-5_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10024)
Cite this paper as:
Annane A., Bellahsene Z., Azouaou F., Jonquet C. (2016) Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching. In: Blomqvist E., Ciancarini P., Poggi F., Vitali F. (eds) Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science, vol 10024. Springer, Cham

Abstract

This paper presents a novel background knowledge approach which selects and combines existing mappings from a given biomedical ontology repository to improve ontology alignment. Current background knowledge approaches usually select either manually or automatically a limited number of different ontologies and use them as a whole for background knowledge. Whereas in our approach, we propose to pick up only relevant concepts and relevant existing mappings linking these concepts all together in a specific and customized background knowledge graph. Paths within this graph will help to discover new mappings. We have implemented and evaluated our approach using the content of the NCBO BioPortal repository and the Anatomy benchmark from the Ontology Alignment Evaluation Initiative. We used the mapping gain measure to assess how much our final background knowledge graph improves results of state-of-the-art alignment systems. Furthermore, the evaluation shows that our approach produces a high quality alignment and discovers mappings that have not been found by state-of-the-art systems.

Keywords

Ontology matching Background knowledge Repository of ontologies Biomedical ontologies BioPortal 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Amina Annane
    • 1
    • 2
  • Zohra Bellahsene
    • 1
  • Faiçal Azouaou
    • 2
  • Clement Jonquet
    • 1
    • 3
  1. 1.Université de Montpellier, Laboratoire d’Informatiquede Robotique et de Microélectronique (LIRMM)MontpellierFrance
  2. 2.Ecole Nationale Supérieure en Informatique (ESI)AlgiersAlgeria
  3. 3.Center for Biomedical Informatics ResearchStanford UniversityStanfordUSA

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