DocumentCode :
3513415
Title :
The Research on Ontology-Driven Semantic Retrieval of Enterprise Data
Author :
Shao, Yuanzheng ; Li, Lelin ; Du, Zhenhong ; QI, Qiang
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying Mapping & Remote Sensing, Wuhan Univ., Wuhan
fYear :
2008
fDate :
1-3 Nov. 2008
Firstpage :
729
Lastpage :
732
Abstract :
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval model are analyzed and studied. By using field ontology, semantic research procedure for different types of enterprise data is proposed and implemented. Different types of enterprise data for the semantic reunification process can be presented and achieved in the system based on field ontology. It is believed that the problems about enterprise knowledge integration and retrieval could be solved in some manner according to the experimental results.
Keywords :
information retrieval; ontologies (artificial intelligence); enterprise data; ontology-driven semantic retrieval; search engine; semantic reunification process; Application software; Content based retrieval; Content management; Data engineering; Information retrieval; Intelligent networks; Intelligent systems; Ontologies; Relational databases; Remote sensing; ontology; retrieval; semantic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
Type :
conf
DOI :
10.1109/ICINIS.2008.134
Filename :
4683328
Link To Document :
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