Hierarchical Taxonomy Integration Using Semantic Feature Expansion on Category-Specific Terms

نویسندگان

  • Cheng-Zen Yang
  • Ing-Xiang Chen
  • Cheng-Tse Hung
  • Ping-Jung Wu
چکیده

In recent years, the hierarchical taxonomy integration problem has obtained considerable attention in many research studies. Many types of implicit information embedded in the source taxonomy are explored to improve the integration performance. The semantic information embedded in the source taxonomy, however, has not been discussed in previous research. In this paper, an enhanced integration approach called SFE (Semantic Feature Expansion) is proposed to exploit the semantic information of the category-specific terms. From our experiments on two hierarchical Web taxonomies, the results show that the integration performance can be further improved with the SFE scheme.

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عنوان ژورنال:
  • IJCLCLP

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2008