Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación

<br><b>Introduction.</b> In recent years the volume of electronic information has grown exponentially. This phenomenon improves data exchange and communication but introduces new troubles in relation to information access and searching. Aim. This paper proposes an exhaustive revie...

Full description

Saved in:
Bibliographic Details
Main Authors: Víctor Herrero-Solana, Yusef Hassan
Format: Article
Language:English
Published: University of Borås 2006-01-01
Series:Information Research: An International Electronic Journal
Subjects:
Online Access:http://informationr.net/ir/11-3/paper258.html
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832573321396355072
author Víctor Herrero-Solana
Yusef Hassan
author_facet Víctor Herrero-Solana
Yusef Hassan
author_sort Víctor Herrero-Solana
collection DOAJ
description <br><b>Introduction.</b> In recent years the volume of electronic information has grown exponentially. This phenomenon improves data exchange and communication but introduces new troubles in relation to information access and searching. Aim. This paper proposes an exhaustive review of the different models, methods and algorithms that can be used to develop Visual Interfaces for Information Retrieval. The methods are classified on the basis of the stage of the process in which they take part: data analysis and transformation, application of classification and visual distribution algorithms, and application of visual transformation techniques. <br><b>Method.</b> logy. Based on the analysis, we compare the different methods that can be used in each stage of the production process. We also determine which combinations of methods and algorithms are most suitable at different stages. <br><b>Results.</b> In the first section, data analysis and transformation, we analyse content mining, structure mining and use mining. In the second section, visual classification algorithm, we shown the hierarchical, network, scattering and map representations. In the last section, visual transformation techniques, we present the distortion (Focus+Context) and non-distortion techniques. <br><b>Conclusion.</b> The results aim to become useful tools for other researchers when choosing a methodological combination for the development of specific proposals for visual interfaces for information retrieval, as well as suggest implications to be considered on the research of new visual transformation techniques.
format Article
id doaj-art-e6ca5ae665cd4804afba97831a40fccd
institution Kabale University
issn 1368-1613
language English
publishDate 2006-01-01
publisher University of Borås
record_format Article
series Information Research: An International Electronic Journal
spelling doaj-art-e6ca5ae665cd4804afba97831a40fccd2025-02-02T05:01:11ZengUniversity of BoråsInformation Research: An International Electronic Journal1368-16132006-01-01113258Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparaciónVíctor Herrero-SolanaYusef Hassan<br><b>Introduction.</b> In recent years the volume of electronic information has grown exponentially. This phenomenon improves data exchange and communication but introduces new troubles in relation to information access and searching. Aim. This paper proposes an exhaustive review of the different models, methods and algorithms that can be used to develop Visual Interfaces for Information Retrieval. The methods are classified on the basis of the stage of the process in which they take part: data analysis and transformation, application of classification and visual distribution algorithms, and application of visual transformation techniques. <br><b>Method.</b> logy. Based on the analysis, we compare the different methods that can be used in each stage of the production process. We also determine which combinations of methods and algorithms are most suitable at different stages. <br><b>Results.</b> In the first section, data analysis and transformation, we analyse content mining, structure mining and use mining. In the second section, visual classification algorithm, we shown the hierarchical, network, scattering and map representations. In the last section, visual transformation techniques, we present the distortion (Focus+Context) and non-distortion techniques. <br><b>Conclusion.</b> The results aim to become useful tools for other researchers when choosing a methodological combination for the development of specific proposals for visual interfaces for information retrieval, as well as suggest implications to be considered on the research of new visual transformation techniques.http://informationr.net/ir/11-3/paper258.htmlInformation visualization for information retrieval
spellingShingle Víctor Herrero-Solana
Yusef Hassan
Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
Information Research: An International Electronic Journal
Information visualization for information retrieval
title Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
title_full Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
title_fullStr Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
title_full_unstemmed Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
title_short Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación
title_sort metodologias para el desarrollo de interfaces visuales de recuperacion de informacion analisis y comparacion
topic Information visualization for information retrieval
url http://informationr.net/ir/11-3/paper258.html
work_keys_str_mv AT victorherrerosolana metodologiasparaeldesarrollodeinterfacesvisualesderecuperaciondeinformacionanalisisycomparacion
AT yusefhassan metodologiasparaeldesarrollodeinterfacesvisualesderecuperaciondeinformacionanalisisycomparacion