DocumentCode
2307539
Title
Scalable distributed information retrieval model based on topic map and mobil agent
Author
Xia, Li-xin ; Wang, Zhong-yi ; Chen, Chen
Author_Institution
Dept. of Inf. Manage., Central China Normal Univ. Wuhan, Wuhan
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
454
Lastpage
459
Abstract
In view of the problems of centralized search engine and based on analyzing the technology of topic map, OAI, mobile agent and P2P, we design and implement a scalable distributed retrieval model based on topic map and mobile agent. The model can effectively improve the utilization rate of resources, increase search depth, overcome server failure and heterogeneity of network, and has a strong capacity for expansion, fault-tolerant and parallel processing.
Keywords
fault tolerant computing; information retrieval; mobile agents; parallel processing; peer-to-peer computing; search engines; P2P network; centralized search engine; fault-tolerant; mobile agent; open archive initiative; parallel processing; scalable distributed information retrieval model; topic map; Bandwidth; Databases; Frequency; Information analysis; Information retrieval; Mobile agents; Network servers; Peer to peer computing; Scalability; Search engines;
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-3616-3
Electronic_ISBN
978-1-4244-2511-2
Type
conf
DOI
10.1109/ITME.2008.4743906
Filename
4743906
Link To Document