Domain Concept Extraction Algorithm Based on Semantic Web Ontology Learning
The Semantic Web Ontology learning technology introduced is to reduce the overall time of ontology construction. Ontology construction process includes several aspects, and extraction domain concept is one of the most important aspects. In this paper, we proposed a domain concept extraction algorithm. The algorithm aims at improving the extraction efficiency and accuracy of domain concepts, thereby enhancing the efficiency of building the entire ontology. We have achieved integrating personalized recommendation technology and concept extraction technology into a coherent whole, and more accurately and efficiently finished extracting domain concepts. Through the analysis of the results gained from the experiment proved the feasibility of the algorithm.
ontology learning personalization recommendation domain concept extraction
Li Xueyong Zhu yanli Wang Quanrui Shan Yongqiang
School of Information Engineer Henan Institute of Science and Technology Henan Xinxiang, China,45300 Institute of computer and Information Engineering Xinxiang University Henan Xinxiang, China, 453003
国际会议
2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)
秦皇岛
英文
86-89
2010-06-25(万方平台首次上网日期,不代表论文的发表时间)