DocumentCode :
3087283
Title :
Resource Selection from Distributed Semantic Web Stores
Author :
Iqbal, Ahmad Ali ; Ott, Maximilian ; Seneviratne, Aruna
Author_Institution :
Sch. of EE&T, Univ. of New South Wales (UNSW), Sydney, NSW, Australia
fYear :
2010
fDate :
1-3 Sept. 2010
Firstpage :
470
Lastpage :
476
Abstract :
Semantic web is gaining popularity as the candidate for next generation World Wide Web. Distribution of the data across number of physical information stores and proliferation of semantic web data brings variety of non-trivial challenges. One of such challenge is to identify information stores for a given query. This paper presents a framework to address this problem probabilistically and by exchanging the summaries of actual contents. Experimental evaluation shows promising results with high recall for probabilistic approach and lower response time for pre-processed summary exchanges.
Keywords :
data warehouses; probability; query processing; semantic Web; World Wide Web; distributed semantic Web stores; information stores; probabilistic approach; resource selection; Delay; Distributed databases; Peer to peer computing; Probabilistic logic; Receivers; Resource description framework; Distributed; Information Systems; RDF; Resource Selection; Semantic Web; Summary Exchange;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and System Security (NSS), 2010 4th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-8484-3
Electronic_ISBN :
978-0-7695-4159-4
Type :
conf
DOI :
10.1109/NSS.2010.71
Filename :
5635838
Link To Document :
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