Abstract
Ontologies evolve continuously during their life cycle to adapt to new requirements and necessities. Ontology-based information retrieval systems use semantic annotations that are also regularly updated to reflect new points of view. In order to provide a general solution and to minimize the users’ effort in the ontology enriching process, a methodology for extracting terms and evolve the domain ontology from Wikipedia is proposed in this work. The framework presented here combines an ontology-based information retrieval system with an ontology evolution approach in such a way that it simplifies the tasks of updating concepts and relations in domain ontologies. This framework has been validated in a scenario where ICT-related cloud services matching the user needs are to be found.
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Rodríguez-García, M.Á., Valencia-García, R., García-Sánchez, F. (2012). An Ontology Evolution-Based Framework for Semantic Information Retrieval. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_25
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DOI: https://doi.org/10.1007/978-3-642-33618-8_25
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