Improving hierarchical taxonomy integration with semantic feature expansion on category-specific terms

Authors:
Cheng-Zen Yang;Ing-Xiang Chen;Cheng-Tse Hung;Ping-Jung Wu
Affiliations:
Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C
Venue:
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Year:
2008

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Abstract

In recent years, the taxonomy integration problem has obtained much attention in many research studies. Many sorts of implicit information embedded in the source taxonomy are explored to improve the integration performance. However, the semantic information embedded in the source taxonomy has not been discussed in the past 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 are positive to show that the integration performance can be further improved with the SFE scheme.