User-centered design and evaluation of overview components for semantic data exploration

Purpose: The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users...

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Detalles Bibliográficos
Autores: Brunetti Fernández, Josep Maria, García González, Roberto
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/47938
Acceso en línea:https://doi.org/10.1108/AJIM-12-2013-0153
http://hdl.handle.net/10459.1/47938
Access Level:acceso abierto
Palabra clave:Human computer interaction
Search
Linked data
Exploration
Web semàntic
Semantic web
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spelling User-centered design and evaluation of overview components for semantic data explorationBrunetti Fernández, Josep MariaGarcía González, RobertoHuman computer interactionSearchLinked dataExplorationWeb semànticSemantic webPurpose: The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. Design/methodology/approach: The Visual Information-Seeking Mantra"Overview first, zoom and filter, then details-on-demand" proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. Findings: The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. Originality/value: Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.Emerald2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1108/AJIM-12-2013-0153http://hdl.handle.net/10459.1/47938reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésVersió postprint del document publicat a: https://doi.org/10.1108/AJIM-12-2013-0153Aslib Proceedings, 2014, vol. 66, núm. 5, p. 519-536(c) Emerald, 2014info:eu-repo/semantics/openAccessoai:repositori.udl.cat:10459.1/479382026-06-24T12:42:17Z
dc.title.none.fl_str_mv User-centered design and evaluation of overview components for semantic data exploration
title User-centered design and evaluation of overview components for semantic data exploration
spellingShingle User-centered design and evaluation of overview components for semantic data exploration
Brunetti Fernández, Josep Maria
Human computer interaction
Search
Linked data
Exploration
Web semàntic
Semantic web
title_short User-centered design and evaluation of overview components for semantic data exploration
title_full User-centered design and evaluation of overview components for semantic data exploration
title_fullStr User-centered design and evaluation of overview components for semantic data exploration
title_full_unstemmed User-centered design and evaluation of overview components for semantic data exploration
title_sort User-centered design and evaluation of overview components for semantic data exploration
dc.creator.none.fl_str_mv Brunetti Fernández, Josep Maria
García González, Roberto
author Brunetti Fernández, Josep Maria
author_facet Brunetti Fernández, Josep Maria
García González, Roberto
author_role author
author2 García González, Roberto
author2_role author
dc.subject.none.fl_str_mv Human computer interaction
Search
Linked data
Exploration
Web semàntic
Semantic web
topic Human computer interaction
Search
Linked data
Exploration
Web semàntic
Semantic web
description Purpose: The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. Design/methodology/approach: The Visual Information-Seeking Mantra"Overview first, zoom and filter, then details-on-demand" proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. Findings: The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. Originality/value: Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1108/AJIM-12-2013-0153
http://hdl.handle.net/10459.1/47938
url https://doi.org/10.1108/AJIM-12-2013-0153
http://hdl.handle.net/10459.1/47938
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1108/AJIM-12-2013-0153
Aslib Proceedings, 2014, vol. 66, núm. 5, p. 519-536
dc.rights.none.fl_str_mv (c) Emerald, 2014
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Emerald, 2014
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Emerald
publisher.none.fl_str_mv Emerald
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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