Identifying relevant concept attributes to support mapping maintenance under ontology evolution |
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| Affiliation: | 1. Public Research Centre Henri Tudor, 6 avenue des Hauts-fourneaux, L-4362 Esch-sur-Alzette, Luxembourg;2. LRI, University of Paris-Sud XI, Bât 650, 91405 Orsay Cedex, France;1. Swiss Institute of Bioinformatics, CALIPHO group, CMU - Rue Michel-Servet 1, 1211 Geneva 4, Switzerland;2. Biomarker Technologies, Discovery Bioinformatics, Merck Serono, Frankfurter Str. 250, 64271 Darmstadt, Germany;3. VU University Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands;4. Department of Human Protein Science, Faculty of Medicine, University of Geneva, CMU - Rue Michel-Servet 1, 1211 Geneva 4, Switzerland;5. Netherlands Bioinformatics Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands |
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| Abstract: | The success of distributed and semantic-enabled systems relies on the use of up-to-date ontologies and mappings between them. However, the size, quantity and dynamics of existing ontologies demand a huge maintenance effort pushing towards the development of automatic tools supporting this laborious task. This article proposes a novel method, investigating different types of similarity measures, to identify concepts’ attributes that served to define existing mappings. The obtained experimental results reveal that our proposed method allows to identify the relevant attributes for supporting mapping maintenance, since we found correlations between ontology changes affecting the identified attributes and mapping changes. |
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| Keywords: | Ontology mappings Mapping adaptation Ontology evolution Semantic similarity Biomedical ontologies |
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