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
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;
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
DOI :
10.1109/GSIS.2009.5408118