DocumentCode
1972117
Title
Research on Information Retrieval System Based on Semantic Web and Multi-Agent
Author
Luo Junwei ; Xue Xiao
Author_Institution
Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
fYear
2010
fDate
22-23 June 2010
Firstpage
207
Lastpage
209
Abstract
The Semantic Web and Multi-Agent are effective means for constructing information retrieval systems. Despite a great deal of research, a number of challenges still exist before making Semantic Web and agent-based computing a widely accepted in information retrieval practice. In order to solve the problem of "difficult to feedback useful information to users", the paper developed a new information retrieval system which integrating Semantic Web with Multi-Agent to retrieval relevant documents or information by analyzing semantics contained in the queries and documents.
Keywords
document handling; information retrieval; multi-agent systems; semantic Web; agent based computing; documents; information retrieval system; multiagent; semantic Web; Data mining; Databases; Feature extraction; Resource description framework; Search engines; Semantics; Data Mining; Information Retrieval; Intelligent System; Multi-Agent; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-6640-5
Electronic_ISBN
978-1-4244-6641-2
Type
conf
DOI
10.1109/ICICCI.2010.35
Filename
5565999
Link To Document