Intelligent algorithms for reducing query propagation in thematic P2P search

Information retrieval is a relevant topic in our days, espe-cially in distributed systems where thousands of participants store and share large amounts of information with other users. The analysis, development and testing of adaptive search algorithms is a key avenue to exploit the capacity of P2P...

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Detalles Bibliográficos
Autores principales: Lorenzetti, Carlos M., Maguitman, Ana Gabriela, Chesñevar, Carlos Iván, Nicolini, Ana Lucía
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Informática
information retrieval
Electronic data interchange (EDI)
Information Systems
semantic communities
peer to peer (P2P)
Information Search and Retrieval
Intelligent agents
Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/31436
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-31436
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Informática
information retrieval
Electronic data interchange (EDI)
Information Systems
semantic communities
peer to peer (P2P)
Information Search and Retrieval
Intelligent agents
Algorithms
spellingShingle Ciencias Informáticas
Informática
information retrieval
Electronic data interchange (EDI)
Information Systems
semantic communities
peer to peer (P2P)
Information Search and Retrieval
Intelligent agents
Algorithms
Lorenzetti, Carlos M.
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Nicolini, Ana Lucía
Intelligent algorithms for reducing query propagation in thematic P2P search
topic_facet Ciencias Informáticas
Informática
information retrieval
Electronic data interchange (EDI)
Information Systems
semantic communities
peer to peer (P2P)
Information Search and Retrieval
Intelligent agents
Algorithms
description Information retrieval is a relevant topic in our days, espe-cially in distributed systems where thousands of participants store and share large amounts of information with other users. The analysis, development and testing of adaptive search algorithms is a key avenue to exploit the capacity of P2P systems to lead to the emergence of semantic communities that are the result of the interaction between participants. In particular, intelligent algorithms for neighbor selection should lead to the emergence of efficient communication patterns. This paper presents new algorithms which are specifically aimed at reducing query propagation overload through learning peers’ interests. Promising results were obtained through different experiments designed to test the reduction of query propagation when performing thematic search in a distributed environment.
format Objeto de conferencia
Objeto de conferencia
author Lorenzetti, Carlos M.
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Nicolini, Ana Lucía
author_facet Lorenzetti, Carlos M.
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Nicolini, Ana Lucía
author_sort Lorenzetti, Carlos M.
title Intelligent algorithms for reducing query propagation in thematic P2P search
title_short Intelligent algorithms for reducing query propagation in thematic P2P search
title_full Intelligent algorithms for reducing query propagation in thematic P2P search
title_fullStr Intelligent algorithms for reducing query propagation in thematic P2P search
title_full_unstemmed Intelligent algorithms for reducing query propagation in thematic P2P search
title_sort intelligent algorithms for reducing query propagation in thematic p2p search
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/31436
work_keys_str_mv AT lorenzetticarlosm intelligentalgorithmsforreducingquerypropagationinthematicp2psearch
AT maguitmananagabriela intelligentalgorithmsforreducingquerypropagationinthematicp2psearch
AT chesnevarcarlosivan intelligentalgorithmsforreducingquerypropagationinthematicp2psearch
AT nicolinianalucia intelligentalgorithmsforreducingquerypropagationinthematicp2psearch
bdutipo_str Repositorios
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