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
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;
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
DOI :
10.1109/ICICCI.2010.35