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

Title
Semantic optimization of query transformation in a large-scale peer-to-peer network
Author(s)
정재은
Keywords
SOCIAL NETWORKS; CENTRALITY; EXPANSION
Issue Date
201207
Publisher
ELSEVIER SCIENCE BV
Citation
NEUROCOMPUTING, v.88, pp.36 - 41
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. (C) 2012 Elsevier B.V. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/27617http://dx.doi.org/10.1016/j.neucom.2011.08.028
ISSN
0925-2312
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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