A Hybrid Approach for Extending Ontology from Text
Ontology is applied to various fields of computer as a conceptual modefing tool, and is used to organize information and manage knowledge.On tology extension is used to add the new concepts and relationship into the exist ing ontology, which is a more complex task.In this paper, we propose a hybrid approach for ontology extension from text using semantic relatedness between words, which exploit co-occurrence analysis, word filter and semantic related ness between words to find the potential concepts from text, denoted as the ex tended concepts.And we take advantage of extension rules and subsumption analysis to find the relationship between concepts, which is used to add the ex tended concepts into the existing ontology.The improved recall, precision and F1-Measure have been presented and used to evaluate our method proposed in this paper.Experimental results show that the proposed method is more reason able and promising.It has a stronger competitiveness and application ability.
Ontology Ontology extension Co-occurrence analysis Semantic relatedness
Wei He Shuang Li Xiaoping Yang
Department of Applied Mathematic, Huaihua College, Huaihua, Hunan, China School of Information, Renmin University of China, Haidian, Beijing, China
国际会议
Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)
重庆
英文
255-265
2013-11-15（万方平台首次上网日期，不代表论文的发表时间）