Ontoloy Relationship Extraction Research Based on HowNet and Term Relevancy Degree
Fu Jibin1 Liu Jie2 Jia Keliang3 Mao Jintao1
1(School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China) 2 (School of Information Engineering, Capital Normal University, Beijing 100037, China) 3 (School of Information Management, Shandong Economic University, Jinan 250014, China)
The paper proposes a relationship extraction method based on HowNet and term relevancy degree. Firstly syntax parsing tools are used to extract context feature of terms, and natural language feature and statistical mutual information measure are integrated to compute relevancy degree of terms,then dynamic role and sememe are used as key to seek the relationship in HowNet semantic relationship framework, and explicit semantic lable is designated to the relationship. Experimental results show that the approach is effective.
傅继彬,刘杰,贾可亮,毛金涛. 基于知网和术语相关度的本体关系抽取研究*[J]. 现代图书情报技术, 2008, 24(9): 36-40.
Fu Jibin,Liu Jie,Jia Keliang,Mao Jintao. Ontoloy Relationship Extraction Research Based on HowNet and Term Relevancy Degree. New Technology of Library and Information Service, 2008, 24(9): 36-40.
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