基于自建模糊本体的智能信息检索研究

Investigation of intelligent information retrieval based on automatically constructed fuzzy ontology

提出一种基于本体的信息检索模型,该模型将信息检索系统与从搜索的数据信息自动构建的本体相结合.使用在本模型中的本体有一般语义本体、领域知识和自动生成、构建的模糊概念层.主要研究基于本体的信息检索模型.描述处理过程及检索机制,并采用TREC的评价方法评估该模型,讨论应用不同类型本体的检索效果和影响.实验结果表明,提出的信息检索模型具有较好的检索效果.

An ontology-based information retrieval model was proposed, in which the information retrieval system was combined with the ontology constructed automatically from the searched data information. The ontology used in this model included general semantic ontology, domain knowledge, and automatically generated fuzzy concept hierarchy. The main work of this paper was to study the ontology-based information retrieval model and describe the processing procedure and retrieval mechanism. This model was estimated by means of evaluation method of TREC and the influence of applying different types of ontology on the information retrieval was discussed, also. It was shown by the experimental result that the information retrieval model proposed had a better retrieval result.