From OWL class and property labels to human understandable natural language

  • Authors:
  • Günther Fliedl;Christian Kop;Jürgen Vöhringer

  • Affiliations:
  • Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt;Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt;Institute of Applied Informatics, Alpen-Adria-Universität Klagenfurt

  • Venue:
  • NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
  • Year:
  • 2007

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Abstract

The ontology language OWL has become increasingly important during the previous years. However due to the uncontrolled growth, OWL ontologies in many cases are very heterogeneous with respect to the class and property labels that often lack a common and systematic view. For this reason we linguistically analyzed OWL class and property labels focusing on their implicit structure. Based on the results of this analysis we generated a first proposal for linguistically determined label generation which can be seen as a prerequisite for mapping OWL concepts to natural language patterns.