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 :
بازگشت