An Area Concept Extraction Algorithm Based on Association Rule
Ontology learning is from a given area document sets automatic or semi-automatic extraction terms to construct a domain ontology. Area concept extraction is one of the most important aspects in building ontology. In this paper, we proposed an improved area concept extraction algorithm. In the algorithm, we firstly employed association rule algorithm to obtain the similarity between the sememes, and then used the similarity between the sememes to find the similarity between area concepts. Finally our paper achieves the whole area concepts extraction process. By analyzing the experimental results shows the effectiveness and correctness of the algorithm.
area concept extraction association rule sememe
Qing Yang Kai-min Cai Yan LI Rui-qing Liu
Department of Computer Science, Hua Zhong Normal University, Wuhan, China Overseas Chinese College, Capital University of Economics and Business, Beijing, China
国际会议
西安
英文
230-232
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）