Terminological cleansing for improved information retrieval based on ontological terms

  • Authors:
  • Antonio Jimeno-Yepes;Rafael Berlanga-Llavori;Dietrich Rebholz-Schuhmann

  • Affiliations:
  • European Bioinformatics Institute, Hinxton, Cambridge, UK;Universitat Jaume I, Spain;European Bioinformatics Institute, Hinxton, Cambridge, UK

  • Venue:
  • Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
  • Year:
  • 2009

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Abstract

Ontologies are frequently used in information retrieval being their main applications the expansion of queries, semantic indexing of documents and the organization of search results. However, the optimization of an ontology to perform information retrieval tasks is still unclear. In this paper, we propose an ontology query model to analyze the usefulness of ontologies in effectively performing document searches. Moreover, we propose a series of heuristic techniques that optimize ontologies for information retrieval tasks. Preliminary results demonstrate that current domain ontologies provide enough information to support user requests and that ontologies might be improved with simple methods.