INTELLIGENT INFORMATION RETRIEVAL APPLYING AUTOMATIC CONSTRUCTED FUZZY ONTOLOGY

摘要：

Ontology is a conceptualization of a knowledge domain being shared by a group of users.Embedding ontology into information retrieval is a natural way to improve searching results of relevant imformation users needed.In this paper, we propose a model to combine Information retrieval systems with the ontology which is constructed automatically from the searched information data.The ontology used in the system includes general semantic ontology, domain knowledge and automatic generated fuzzy concept hierarchy.We estimated the system following the evaluation method of imageCLEF.According to the experimental results, the embedded ontology can Improve the performance of Information retrieval.

关键词： Information retrieval fuzzy ontology concept hierarchy

作者: BEEN-CHIAN CHIEN CHIH-HUNG HU MING-YI JU

作者单位: Department of Computer Science and Information Engineering, National University of Tainan, Taiwan, R.O.C.

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2239-2244

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）