Research on information retrieval model based on ontology

被引:22
作者
Yu, Binbin [1 ,2 ]
机构
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun, Jilin, Peoples R China
[2] Beihua Univ, Coll Informat Technol & Media, Jilin, Jilin, Peoples R China
关键词
Ontology; Information retrieval; Genetic algorithm; Sensor networks;
D O I
10.1186/s13638-019-1354-z
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An information retrieval system not only occupies an important position in the network information platform, but also plays an important role in information acquisition, query processing, and wireless sensor networks. It is a procedure to help researchers extract documents from data sets as document retrieval tools. The classic keyword-based information retrieval models neglect the semantic information which is not able to represent the user's needs. Therefore, how to efficiently acquire personalized information that users need is of concern. The ontology-based systems lack an expert list to obtain accurate index term frequency. In this paper, a domain ontology model with document processing and document retrieval is proposed, and the feasibility and superiority of the domain ontology model are proved by the method of experiment.
引用
收藏
页数:8
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