Intelligent algorithms for reducing query propagation in thematic P2P search
- Autores
- Lorenzetti, Carlos M.; Maguitman, Ana Gabriela; Chesñevar, Carlos Iván; Nicolini, Ana Lucía
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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.
XIV Workshop agentes y sistemas inteligentes.
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Informática
information retrieval
Electronic data interchange (EDI)
Information Systems
semantic communities
peer to peer (P2P)
Information Search and Retrieval
Intelligent agents
Algorithms - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/31436
Ver los metadatos del registro completo
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Intelligent algorithms for reducing query propagation in thematic P2P searchLorenzetti, Carlos M.Maguitman, Ana GabrielaChesñevar, Carlos IvánNicolini, Ana LucíaCiencias InformáticasInformáticainformation retrievalElectronic data interchange (EDI)Information Systemssemantic communitiespeer to peer (P2P)Information Search and RetrievalIntelligent agentsAlgorithmsInformation 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.XIV Workshop agentes y sistemas inteligentes.Red de Universidades con Carreras en Informática (RedUNCI)2013-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/31436enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:57:56Zoai:sedici.unlp.edu.ar:10915/31436Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:57:57.168SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Intelligent algorithms for reducing query propagation in thematic P2P search |
title |
Intelligent algorithms for reducing query propagation in thematic P2P search |
spellingShingle |
Intelligent algorithms for reducing query propagation in thematic P2P search Lorenzetti, Carlos M. Ciencias Informáticas Informática information retrieval Electronic data interchange (EDI) Information Systems semantic communities peer to peer (P2P) Information Search and Retrieval Intelligent agents Algorithms |
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 |
dc.creator.none.fl_str_mv |
Lorenzetti, Carlos M. Maguitman, Ana Gabriela Chesñevar, Carlos Iván Nicolini, Ana Lucía |
author |
Lorenzetti, Carlos M. |
author_facet |
Lorenzetti, Carlos M. Maguitman, Ana Gabriela Chesñevar, Carlos Iván Nicolini, Ana Lucía |
author_role |
author |
author2 |
Maguitman, Ana Gabriela Chesñevar, Carlos Iván Nicolini, Ana Lucía |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Informática information retrieval Electronic data interchange (EDI) Information Systems semantic communities peer to peer (P2P) Information Search and Retrieval Intelligent agents Algorithms |
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 |
dc.description.none.fl_txt_mv |
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. XIV Workshop agentes y sistemas inteligentes. Red de Universidades con Carreras en Informática (RedUNCI) |
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. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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