From web directories to ontologies: natural language processing challenges

  • Authors:

  • Ilya Zaihrayeu;Lei Sun;Fausto Giunchiglia;Wei Pan;Qi Ju;Mingmin Chi;Xuanjing Huang

  • Affiliations:

  • University of Trento, Italy;Fudan University, China;University of Trento, Italy;Fudan University, China;Jilin University, China and University of Trento, Italy;Fudan University, China;Fudan University, China

  • Venue:
  • ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
  • Year:
  • 2007

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Abstract

Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language labels, used to describe their contents, are easily understood by human users. However, at the same time, this is also one of their main disadvantages as these same labels are ambiguous and very hard to be reasoned about by software agents. This fact creates an insuperable hindrance for classifications to being embedded in the Semantic Web infrastructure. This paper presents an approach to converting classifications into lightweight ontologies, and it makes the following contributions: (i) it identifies the main NLP problems related to the conversion process and shows how they are different from the classical problems of NLP; (ii) it proposes heuristic solutions to these problems, which are especially effective in this domain; and (iii) it evaluates the proposed solutions by testing them on DMoz data.