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