Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3233/EFI-211559 http://hdl.handle.net/11449/223109 |
Resumo: | The need to map the evolution of trends in any field of activity arises when a large amount of data is available on that activity, thus making impossible a manual exploration of the data in order to understand how the field or the activity is evolving. Topic and trend mapping is a mature field with hundreds of publications on approaches, methods and tools for data collection, analysis, feature extraction and reduction, clustering and visualisation tools and algorithms. Our study aims to map the evolution of topics published by the journal Education for Information. Interdisciplinary Journal on Information Studies (EFI henceforth) which has been in existence since 1983, in order to understand how this journal has evolved and how it is positioned with regard to the field of Library and Information Science to which it belongs. Our study is part of the body of work on topic detection and text mining. Our results showed that the journal displayed a remarkable stability in its editorial policy over more than three decades. With the arrival of its third Editor in Chief in 2018, a shift towards more technologically oriented topics and to specialties from other fields are perceptible such as health information, data science and digital humanities. |
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Repositório Institucional da UNESP |
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Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studiesclusteringcontent analysisemerging scientific structuresinformation sciencenoun phrase extractionTopic mappingtrends surveyThe need to map the evolution of trends in any field of activity arises when a large amount of data is available on that activity, thus making impossible a manual exploration of the data in order to understand how the field or the activity is evolving. Topic and trend mapping is a mature field with hundreds of publications on approaches, methods and tools for data collection, analysis, feature extraction and reduction, clustering and visualisation tools and algorithms. Our study aims to map the evolution of topics published by the journal Education for Information. Interdisciplinary Journal on Information Studies (EFI henceforth) which has been in existence since 1983, in order to understand how this journal has evolved and how it is positioned with regard to the field of Library and Information Science to which it belongs. Our study is part of the body of work on topic detection and text mining. Our results showed that the journal displayed a remarkable stability in its editorial policy over more than three decades. With the arrival of its third Editor in Chief in 2018, a shift towards more technologically oriented topics and to specialties from other fields are perceptible such as health information, data science and digital humanities.Aix Marseille Univ CNRS LPLGraduate Program in Information Science Sao Paulo State UniversityUniversidad Carlos III de MadridGraduate Program in Information Science Sao Paulo State UniversityLPLUniversidade Estadual Paulista (UNESP)Universidad Carlos III de MadridIbekwe, FideliaBochi, Fernanda [UNESP]Martínez-Ávila, Daniel2022-04-28T19:48:45Z2022-04-28T19:48:45Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject545-563http://dx.doi.org/10.3233/EFI-211559Education for Information, v. 37, n. 4, p. 545-563, 2021.0167-8329http://hdl.handle.net/11449/22310910.3233/EFI-2115592-s2.0-85121769348Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEducation for Informationinfo:eu-repo/semantics/openAccess2022-04-28T19:48:45Zoai:repositorio.unesp.br:11449/223109Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:48:45Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
title |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
spellingShingle |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies Ibekwe, Fidelia clustering content analysis emerging scientific structures information science noun phrase extraction Topic mapping trends survey |
title_short |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
title_full |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
title_fullStr |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
title_full_unstemmed |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
title_sort |
Mapping the evolution of topics published by Education for Information: Interdisciplinary Journal of Information Studies |
author |
Ibekwe, Fidelia |
author_facet |
Ibekwe, Fidelia Bochi, Fernanda [UNESP] Martínez-Ávila, Daniel |
author_role |
author |
author2 |
Bochi, Fernanda [UNESP] Martínez-Ávila, Daniel |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
LPL Universidade Estadual Paulista (UNESP) Universidad Carlos III de Madrid |
dc.contributor.author.fl_str_mv |
Ibekwe, Fidelia Bochi, Fernanda [UNESP] Martínez-Ávila, Daniel |
dc.subject.por.fl_str_mv |
clustering content analysis emerging scientific structures information science noun phrase extraction Topic mapping trends survey |
topic |
clustering content analysis emerging scientific structures information science noun phrase extraction Topic mapping trends survey |
description |
The need to map the evolution of trends in any field of activity arises when a large amount of data is available on that activity, thus making impossible a manual exploration of the data in order to understand how the field or the activity is evolving. Topic and trend mapping is a mature field with hundreds of publications on approaches, methods and tools for data collection, analysis, feature extraction and reduction, clustering and visualisation tools and algorithms. Our study aims to map the evolution of topics published by the journal Education for Information. Interdisciplinary Journal on Information Studies (EFI henceforth) which has been in existence since 1983, in order to understand how this journal has evolved and how it is positioned with regard to the field of Library and Information Science to which it belongs. Our study is part of the body of work on topic detection and text mining. Our results showed that the journal displayed a remarkable stability in its editorial policy over more than three decades. With the arrival of its third Editor in Chief in 2018, a shift towards more technologically oriented topics and to specialties from other fields are perceptible such as health information, data science and digital humanities. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-04-28T19:48:45Z 2022-04-28T19:48:45Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3233/EFI-211559 Education for Information, v. 37, n. 4, p. 545-563, 2021. 0167-8329 http://hdl.handle.net/11449/223109 10.3233/EFI-211559 2-s2.0-85121769348 |
url |
http://dx.doi.org/10.3233/EFI-211559 http://hdl.handle.net/11449/223109 |
identifier_str_mv |
Education for Information, v. 37, n. 4, p. 545-563, 2021. 0167-8329 10.3233/EFI-211559 2-s2.0-85121769348 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Education for Information |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
545-563 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797789322422779904 |