ADSS: an approach to determining semantic similarity

Authors:
Lixin Han;Linping Sun;Guihai Chen;Li Xie
Affiliations:
Dept. of Math., Nanjing Univ., Nanjing, PRC and State Key Lab. of Novel Softw. Technol., Nanjing Univ., Nanjing, PRC and Dept. of Comp. Sci. and Eng., Hohai Univ., Nanjing, PRC;Department of Mathematics, Nanjing University, Nanjing, People's Republic of China;State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China;State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, People's Republic of China
Venue:
Advances in Engineering Software
Year:
2006

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Abstract

Determining the semantic similarity is an important issue in the development of semantic search technology. In this paper, we propose an approach to determining the semantic similarity. This approach takes into consideration the similarity between two entities and their similarity reflected in context. Furthermore, the approach provides an efficient Tabu Search algorithm combined with multi-objective programming algorithm to improve the precision.