一种基于领域本体的资源反馈检索模型研究

针对现有资源平台无法互通共享资源，资源库检索系统仅依靠用户输入的单词关键字描述检索资源而无法挖 掘用户需求中的语义信息的问题，提出了一种基于本体的资源反馈检索模型。该模型通过构建本体、概念相似度计算、查询关 键字扩展等关键技术，利用了用户多次反馈中的包含语义知识，满足了用户的查询需求。实验表明，该模型能够有效提高检索 的性能。

Research on Resource Feedback Retrieval Model Based on Ontology

Focused on the problems of poor efficiency of the traditional retrieval systems which can not detect semantic information from user’s keywords, a resource feedback retrieval model is proposed in this paper. The main idea of the model is to use the technology of ontology construction and semantic annotation and expansion keywords which can use semantic knowledge form user’s feedback to meet user’s needs. The experimental results show that the retrieval performance can be improved effectively.