Query expansion and noise treatment for information retrieval

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...

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Detalles Bibliográficos
Autores principales: Santos, Emerson L. dos, Avila, Braulio C., Hasegawa, Fabiano M., Kaestner, Celso A. A.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2003
Materias:
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Query Expansion
Noise Treatment
Information Retrieval
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22803
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22803
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
ARTIFICIAL INTELLIGENCE
Intelligent agents
Query Expansion
Noise Treatment
Information Retrieval
spellingShingle Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Query Expansion
Noise Treatment
Information Retrieval
Santos, Emerson L. dos
Avila, Braulio C.
Hasegawa, Fabiano M.
Kaestner, Celso A. A.
Query expansion and noise treatment for information retrieval
topic_facet Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Intelligent agents
Query Expansion
Noise Treatment
Information Retrieval
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.
format Objeto de conferencia
Objeto de conferencia
author Santos, Emerson L. dos
Avila, Braulio C.
Hasegawa, Fabiano M.
Kaestner, Celso A. A.
author_facet Santos, Emerson L. dos
Avila, Braulio C.
Hasegawa, Fabiano M.
Kaestner, Celso A. A.
author_sort Santos, Emerson L. dos
title Query expansion and noise treatment for 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
publishDate 2003
url http://sedici.unlp.edu.ar/handle/10915/22803
work_keys_str_mv AT santosemersonldos queryexpansionandnoisetreatmentforinformationretrieval
AT avilabraulioc queryexpansionandnoisetreatmentforinformationretrieval
AT hasegawafabianom queryexpansionandnoisetreatmentforinformationretrieval
AT kaestnercelsoaa queryexpansionandnoisetreatmentforinformationretrieval
bdutipo_str Repositorios
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