Class-based approach in semantic P2P information retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00197531" target="_blank" >RIV/68407700:21230/12:00197531 - isvavai.cz</a>
Result on the web
<a href="http://proceedings.fedcsis.org/2012/pliks/257.pdf" target="_blank" >http://proceedings.fedcsis.org/2012/pliks/257.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Class-based approach in semantic P2P information retrieval
Original language description
Peer-to-Peer (P2P) approach in information retrieval systems has drawn significant attention recently. P2P networks provide obvious advantages like scalability, reliability and, therefore, recent researchers are looking for a way to adapt these techniques to Information Retrieval fashion of nodes with heterogeneous documents. The greatest attention is paid to different semantic-based searching such as Gnutella Efficient Search (GES) proposed by Zhu Y et al., which derives from Vector Space Model. This paper proposes conceptual design of P2P unstructured information retrieval (IR) with heterogeneous documents on independent nodes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Federated Conference on Computer Science and Information Systems (FedCSIS 2012)
ISBN
978-83-60810-48-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
257-261
Publisher name
IEEE
Place of publication
New York
Event location
Wroclaw
Event date
Sep 9, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312714400037