DocumentCode :
3406914
Title :
Ontology-based enterprise information retrieval model
Author :
Gao, Huiying ; Zhao, Jinghua ; Yin, Qiuju ; Wang, Jingxia
Author_Institution :
Sch. of the Manage. & Econ., Beijing Inst. of Technol., Beijing, China
fYear :
2009
fDate :
10-12 Nov. 2009
Firstpage :
1326
Lastpage :
1330
Abstract :
As the traditional way of information retrieval is based on keywords that the computer cannot understand users´ potential semantic and personalized query requirements, the paper proposes an ontology-based method of the product information retrieval. Using the product information retrieval as an example, the framework of the product information query system is studied and an ontology based algorithm is designed, which provides a reference for future information retrieval.
Keywords :
ontologies (artificial intelligence); query processing; ontology-based enterprise information retrieval model; personalized query requirements; product information query system; product information retrieval; Information retrieval; Intelligent systems; Knowledge based systems; Laboratories; Microstrip; OWL; Ontologies; Petroleum; Resource description framework; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
Type :
conf
DOI :
10.1109/GSIS.2009.5408118
Filename :
5408118
Link To Document :
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