STUDY ON FOOD SAFETY SEMANTIC RETRIEVAL SYSTEM BASED ON DOMAIN ONTOLOGY

被引：0
|
作者：
Yang, Yuehua [1 ]
Du, Junping [1 ]
Liang, Meiyu [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Sch Comp Sci, Beijing, Peoples R China
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
semantic retrieval; domain ontology; query expansion; concept similarity; food safety;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
From aspects of domain ontology construction, concept similarity computation based on ontology and semantic query expansion study the related technologies of information retrieval system based on ontology; establish food safety domain ontology and ontology-based concept similarity computation model, put forward a new semantic query expansion method based on concept similarity computation; design and implement food safety semantic retrieval system. The experiments show that this food. safety semantic retrieval system is superior to the retrieval system based on keywords both in the recall ratio and the precision, and realize certain intelligent retrieval.
引用
收藏
页码：40 / 44
页数：5
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