Using ontological chain to resolve the translation ambiguity of cross-language information retrieval

Authors:
Pei-Cheng Cheng;Been-Chian Chien;Hao-Ren Ke;Wei-Pang Yang
Affiliations:
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C. and Department of Information Management, Ching Yun University, Jung-Li. Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.;Library and Institute of Information Management, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.;Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C. and Department of Information Management, National Dong Hwa University, Hualien, Taiwan, R.O.C.
Venue:
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Year:
2006

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Abstract

In this paper we proposed an ontology-based approach for reducing the ambiguity of bilingual translation. A metric based on the ontological chain for co-occurrence concept evaluation has also been proposed. Based on the ontology chain we can calculate the best translation of all possible translated terms. The experimental results show that the proposed approach can effectively remove the irrelevant results and improve the precision.