Query expansion and noise treatment for information retrieval
- Autores
- Santos, Emerson L. dos; Avila, Braulio C.; Hasegawa, Fabiano M.; Kaestner, Celso A. A.
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Most of the search engines available over the Web are based on mathematical approaches | classical techniques in the Information Retrieval area. Thereby, they are suitable for the retrieval of documents containing some or all the terms of a query, though not to retrieve the documents containing the meaning those terms were intended to express. This paper presents some advantages obtained from query expansion with WordNet and noise treatment with knowledge on top of Paraconsistent Logic. Both methods are semantically driven, allowing the retrieval of documents which do not contain any term of the original query. Noise treatment results from the combination of a smooth term comparison with knowledge about term authentication based on behaviors of features in the collection. Although query expansion recurs for every query, noise treatment is part of the indexing mechanism, causing no overhead in queries. The domain is retrieval of ontologies represented in Resource Description Framework.
Eje: Agentes y Sistemas Inteligentes (ASI)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Query Expansion
Noise Treatment
Information Retrieval - 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:10915/22803
Ver los metadatos del registro completo
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Query expansion and noise treatment for information retrievalSantos, Emerson L. dosAvila, Braulio C.Hasegawa, Fabiano M.Kaestner, Celso A. A.Ciencias InformáticasARTIFICIAL INTELLIGENCEIntelligent agentsQuery ExpansionNoise TreatmentInformation RetrievalMost of the search engines available over the Web are based on mathematical approaches | classical techniques in the Information Retrieval area. Thereby, they are suitable for the retrieval of documents containing some or all the terms of a query, though not to retrieve the documents containing the meaning those terms were intended to express. This paper presents some advantages obtained from query expansion with WordNet and noise treatment with knowledge on top of Paraconsistent Logic. Both methods are semantically driven, allowing the retrieval of documents which do not contain any term of the original query. Noise treatment results from the combination of a smooth term comparison with knowledge about term authentication based on behaviors of features in the collection. Although query expansion recurs for every query, noise treatment is part of the indexing mechanism, causing no overhead in queries. The domain is retrieval of ontologies represented in Resource Description Framework.Eje: Agentes y Sistemas Inteligentes (ASI)Red de Universidades con Carreras en Informática (RedUNCI)2003-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf717-728http://sedici.unlp.edu.ar/handle/10915/22803enginfo: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:UNLP2025-09-29T10:55:11Zoai:sedici.unlp.edu.ar:10915/22803Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:12.232SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Query expansion and noise treatment for information retrieval |
title |
Query expansion and noise treatment for information retrieval |
spellingShingle |
Query expansion and noise treatment for information retrieval Santos, Emerson L. dos Ciencias Informáticas ARTIFICIAL INTELLIGENCE Intelligent agents Query Expansion Noise Treatment Information Retrieval |
title_short |
Query expansion and noise treatment for information retrieval |
title_full |
Query expansion and noise treatment for information retrieval |
title_fullStr |
Query expansion and noise treatment for information retrieval |
title_full_unstemmed |
Query expansion and noise treatment for information retrieval |
title_sort |
Query expansion and noise treatment for information retrieval |
dc.creator.none.fl_str_mv |
Santos, Emerson L. dos Avila, Braulio C. Hasegawa, Fabiano M. Kaestner, Celso A. A. |
author |
Santos, Emerson L. dos |
author_facet |
Santos, Emerson L. dos Avila, Braulio C. Hasegawa, Fabiano M. Kaestner, Celso A. A. |
author_role |
author |
author2 |
Avila, Braulio C. Hasegawa, Fabiano M. Kaestner, Celso A. A. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Intelligent agents Query Expansion Noise Treatment Information Retrieval |
topic |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Intelligent agents Query Expansion Noise Treatment Information Retrieval |
dc.description.none.fl_txt_mv |
Most of the search engines available over the Web are based on mathematical approaches | classical techniques in the Information Retrieval area. Thereby, they are suitable for the retrieval of documents containing some or all the terms of a query, though not to retrieve the documents containing the meaning those terms were intended to express. This paper presents some advantages obtained from query expansion with WordNet and noise treatment with knowledge on top of Paraconsistent Logic. Both methods are semantically driven, allowing the retrieval of documents which do not contain any term of the original query. Noise treatment results from the combination of a smooth term comparison with knowledge about term authentication based on behaviors of features in the collection. Although query expansion recurs for every query, noise treatment is part of the indexing mechanism, causing no overhead in queries. The domain is retrieval of ontologies represented in Resource Description Framework. Eje: Agentes y Sistemas Inteligentes (ASI) Red de Universidades con Carreras en Informática (RedUNCI) |
description |
Most of the search engines available over the Web are based on mathematical approaches | classical techniques in the Information Retrieval area. Thereby, they are suitable for the retrieval of documents containing some or all the terms of a query, though not to retrieve the documents containing the meaning those terms were intended to express. This paper presents some advantages obtained from query expansion with WordNet and noise treatment with knowledge on top of Paraconsistent Logic. Both methods are semantically driven, allowing the retrieval of documents which do not contain any term of the original query. Noise treatment results from the combination of a smooth term comparison with knowledge about term authentication based on behaviors of features in the collection. Although query expansion recurs for every query, noise treatment is part of the indexing mechanism, causing no overhead in queries. The domain is retrieval of ontologies represented in Resource Description Framework. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-10 |
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 |
format |
conferenceObject |
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publishedVersion |
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dc.language.none.fl_str_mv |
eng |
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eng |
dc.rights.none.fl_str_mv |
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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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