Domain ontology concept and relation extraction using log-likelihood ratio
Zhongyang Xiong · Computer Engineering and Applications Journal · 2013
Ontology learning has become a hot research in the field of computer.Ontology learning currently focuses on concept extraction and conceptual relation extraction.Concerning the poor accuracy of existing learning methods,a new learning method based on Log-Likelihood Ratio(LLR)is proposed.In this way,the concepts and concept pairs can be extracted from Chinese text for estimating the significance of concepts and conceptual relations.The experimental results show that the method can effectively improve the performance of concept extraction and relation extraction.