Instance-driven discovery of ontological relation labels

  • Authors:
  • Marieke van Erp;Antal van den Bosch;Sander Wubben;Steve Hunt

  • Affiliations:
  • Tilburg University, The Netherlands;Tilburg University, The Netherlands;Tilburg University, The Netherlands;Tilburg University, The Netherlands

  • Venue:
  • LaTeCH-SHELT&R '09 Proceedings of the EACL 2009 Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education
  • Year:
  • 2009

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Abstract

An approach is presented to the automatic discovery of labels of relations between pairs of ontological classes. Using a hyperlinked encyclopaedic resource, we gather evidence for likely predicative labels by searching for sentences that describe relations between terms. The terms are instances of the pair of ontological classes under consideration, drawn from a populated knowledge base. Verbs or verb phrases are automatically extracted, yielding a ranked list of candidate relations. Human judges rate the extracted relations. The extracted relations provide a basis for automatic ontology discovery from a non-relational database. The approach is demonstrated on a database from the natural history domain.