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Medical Ontology Validation through Question Answering

  • Asma Ben Abacha
  • Marcos Da Silveira
  • Cédric Pruski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7885)

Abstract

Medical ontology construction is an interactive process that requires the collaboration of both ICT and medical experts. The complexity of the medical domain and the formal description languages makes this collaboration a time consuming and error-prone task. In this paper, we define an ontology validation method that hides the complexity of the formal description languages behind a question-answering game. The proposed approach differs from ”classic” logical-consistency validation approaches and tackles the validation of the domain conceptualization. Reasoning techniques and verbalization methods are used to transform statements inferred from ontologies into natural language questions. The answers of the domain experts to these questions are used to validate and improve the ontology by identifying where it needs to be modified. The validation system then performs automatically the ontology updates needed to correct the detected errors.

Keywords

Ontology Validation Natural Language Processing Question Generation Medical Domain RDFS OWL 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Asma Ben Abacha
    • 1
  • Marcos Da Silveira
    • 1
  • Cédric Pruski
    • 1
  1. 1.Ressource Centre for Health Care Technologies (CR SANTEC)Public Research Centre Henri TudorEsch-sur-AlzetteLuxembourg

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