Semantic optimization of query transformation in a large-scale peer-to-peer network

Authors:
Jason J. Jung
Affiliations:
Department of Computer Engineering, Yeungnam University, Dae-Dong, Gyeongsan, 712-749, South Korea
Venue:
Neurocomputing
Year:
2012

Citing 16
Cited 1

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Abstract

Ontologies have an important role in supporting efficient interoperability among information systems in distributed environment. In this paper, I propose a query transformation method to efficiently collect as many relevant resources from the distributed information systems (e.g., peer-to-peer network) as possible. More importantly, I consider a composite query which contains multiple semantics. The composite query from the source peer can be decomposed and propagated as maintaining the original contexts. Through the experiments, I have shown that query-activated concept (QAC)-based schemes have fulfilled an efficient query decomposition process on semantic peer-to-peer networks.