Ontology Population from Unstructured and Semi-structured Texts

  • Authors:
  • Hee-Geun Yoon;Yong Jin Han;Seong-Bae Park;Se-Young Park

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ALPIT '07 Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007)
  • Year:
  • 2007

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Abstract

Legacy information search systems have limitation that it does not consider semantic information but just lexical information such as keywords. A semantic web is expected to solve such limitation of present systems. In constructing semantic web, an ontology is believed to be a must. However, the ontology construction is very difficult. It requires great human efforts,since the creation of individuals is a time consuming task. Thus, there is a potential need for automatic or semiautomatic ontology population system, which greatly alleviates the human efforts. This paper proposes a method for an ontology population,in which the population is processed by computing the overlap between instances and concepts. This method is very simple but shows high performance.