Facilitating Lightweight Consensuses in P2P Environments
Facilitating Lightweight Consensuses in P2P Environments
Traditional ontology mapping techniques are not strictly applicable in a dynamic and distributed environment (e.g. P2P and pervasive computing) in which on-the-fly alignments are sought after. We propose a theoretical framework that collaborates the logic formalisms with collaboratively created web repositories. A graph clustering algorithm is to discover, from concept definitions, the “feature” vectors that uniquely identify concepts; web repositories are used to understand the implications of these features. Such a combination solidifies an on-demand and approximate mechanism that emerges a context-dependent and task specific consensus among heterogeneous participants of an information exchange task.
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Hu, Bo
(2009)
Facilitating Lightweight Consensuses in P2P Environments.
3rd International Conference on Pervasive Computing and Applications, Alexandria, Egypt.
(In Press)
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Conference or Workshop Item
(Paper)
Abstract
Traditional ontology mapping techniques are not strictly applicable in a dynamic and distributed environment (e.g. P2P and pervasive computing) in which on-the-fly alignments are sought after. We propose a theoretical framework that collaborates the logic formalisms with collaboratively created web repositories. A graph clustering algorithm is to discover, from concept definitions, the “feature” vectors that uniquely identify concepts; web repositories are used to understand the implications of these features. Such a combination solidifies an on-demand and approximate mechanism that emerges a context-dependent and task specific consensus among heterogeneous participants of an information exchange task.
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Accepted/In Press date: 2009
Additional Information:
Event Dates: 10.2008
Venue - Dates:
3rd International Conference on Pervasive Computing and Applications, Alexandria, Egypt, 2008-10-01
Organisations:
Electronics & Computer Science
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Local EPrints ID: 266685
URI: http://eprints.soton.ac.uk/id/eprint/266685
PURE UUID: 19e3cf8e-8b1d-4753-bf56-d1267ff93a84
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Date deposited: 19 Sep 2008 13:50
Last modified: 14 Mar 2024 08:33
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Author:
Bo Hu
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