An intelligent query processing for distributed ontologies

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In this paper, we propose an intelligent distributed query processing method considering the characteristics of a distributed ontology environment. We suggest more general models of the distributed ontology query and the semantic mapping among distributed ontologies compared with the previous works. Our approach rewrites a distributed ontology query into multiple distributed ontology queries using the semantic mapping, and we can obtain the integrated answer through the execution of these queries. Furthermore, we propose a distributed ontology query processing algorithm with several query optimization techniques: pruning rules to remove unnecessary queries, a cost model considering site load balancing and caching, and a heuristic strategy for scheduling plans to be executed at a local site. Finally, experimental results show that our optimization techniques are effective to reduce the response time. (C) 2009 Elsevier Inc. All rights reserved.
Publisher
ELSEVIER SCIENCE INC
Issue Date
2010-01
Language
English
Article Type
Article
Citation

JOURNAL OF SYSTEMS AND SOFTWARE, v.83, pp.85 - 95

ISSN
0164-1212
DOI
10.1016/j.jss.2009.06.008
URI
http://hdl.handle.net/10203/100686
Appears in Collection
CS-Journal Papers(저널논문)
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