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description |
15 pages
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The proliferation of mobile devices and the fact that high-bandwidth
and continuous connectivity is not available everywhere, has led to
the creation of hoarding algorithms that attempt to mitigate the
problems related with disconnected operation and with the operation
in areas where bandwidth is either scarce or expensive. In this
report, we introduce our hoarding algorithm which relies on
clustering of semantically related data items. Our scheme can be
applied to both, semi-structured and structured information spaces.
Furthermore, we present relations that can be exploited for
structured data and how these relations can be encoded in the
information graph.
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publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
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| Stuttgart, Germany, Universität Stuttgart
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type |
Text
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| SFB 627 Report
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contributor |
Institut für Parallele und Verteilte Systeme, Verteilte
Systeme
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subject |
Information Storage and Retrieval (CR H.3)
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relation |
SFB 627 Report No. 2006/05
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