Ontology based Text Annotation --OnTeA

  • Authors:
  • Michal Laclavik;Martin Seleng;Emil Gatial;Zoltan Balogh;Ladislav Hluchy

  • Affiliations:
  • Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava, 845 07, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava, 845 07, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava, 845 07, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava, 845 07, Slovakia;Institute of Informatics, Slovak Academy of Sciences, Dubravska cesta 9, Bratislava, 845 07, Slovakia

  • Venue:
  • Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
  • Year:
  • 2007

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Abstract

In this paper we describe a solution for the semi-automatic ontology based text annotation (OnTeA) tool. The tool analyzes a document or text using regular expression patterns and detects equivalent semantics elements according to the defined domain ontology.