DocumentCode
1811394
Title
Study on food safety semantic retrieval system based on domain ontology
Author
Yang, Yuehua ; Du, Junping ; Liang, Meiyu
Author_Institution
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
15-17 Sept. 2011
Firstpage
40
Lastpage
44
Abstract
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.
Keywords
food safety; ontologies (artificial intelligence); query processing; domain ontology; food safety semantic retrieval system; information retrieval system; intelligent retrieval; semantic query expansion; similarity computation; Certification; Computational modeling; Information retrieval; Knowledge based systems; Ontologies; Safety; Semantics; concept similarity; domain ontology; food safety; query expansion; semantic retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-61284-203-5
Type
conf
DOI
10.1109/CCIS.2011.6045028
Filename
6045028
Link To Document