Using ontology to improve precision of terminology extraction from documents

Authors:
Wen Zhang;Taketoshi Yoshida;Xijin Tang
Affiliations:
School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai Tatsunokuchi, Ishikawa 923-1292, Japan and Information Systems Department, School of Economics and Man ...;School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai Tatsunokuchi, Ishikawa 923-1292, Japan;Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

In this paper, we proposed a new approach using ontology to improve precision of terminology extraction from documents. Firstly, a linguistic method was used to extract the terminological patterns from documents. Then, similarity measures within the framework of ontology were employed to rank the semantic dependency of the noun words in a pattern. Finally, the patterns at a predefined proportion according to their semantic dependencies were retained and regarded as terminologies. Experiments on Retuers-21578 corpus has shown that WordNet ontology, that we adopted for the task of extracting terminologies from English documents, can improve the precision of classical linguistic method on terminology extraction significantly.