Semantic Similarity Based on Compact Concept Ontology
This paper presents a new method of calculating the sematic similarity between articles based on WordNet. To further improve the performance of the proposed method, we build a new Compact Concept Ontology (CCO) from WordNet by combining the words with similar sematic meanings. The experimental results show that our approach significantly outperforms a recent proposal of computing semantic similarity, and demonstrate the superiority of the proposed CCO method.
Concept Ontology Similarity
Ce Zhang Yu-Jing Wang Bin Cui Gao Cong
Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education,C Microsoft Research Asia
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21(万方平台首次上网日期,不代表论文的发表时间)