Online visibility of software-related web sites: The case of biomedical text mining tools

Detalhes bibliográficos
Autor(a) principal: Pérez-Rodríguez, Gael
Data de Publicação: 2019
Outros Autores: Pérez-Pérez, Martín, Fdez-Riverola, Florentino, Lourenço, Anália
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/58889
Resumo: Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.ipm.2018.11.011.
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spelling Online visibility of software-related web sites: The case of biomedical text mining toolsOnline visibilityLiteratureData miningExplanatory and predictive modelsSoftware toolsScience & TechnologySupplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.ipm.2018.11.011.Internet, in general, and the WWW, in particular, have become an immediate, practical means of introducing software tools and resources, and most importantly, a key vehicle to attract the attention of the potential users. In this scenario, content organization as well as different development practices may affect the online visibility of the target resource. Therefore, the careful selection, organization and presentation of contents are critical to guarantee that the main features of the target tool can be easily discovered by potential visitors, while ensuring a proper indexation by automatic online systems and resource recognizers. Understanding how software is depicted in scientific manuscripts and comparing these texts with the corresponding online descriptions can help to improve the visibility of the target website. It is particularly relevant to be able to align online descriptions and those found in literature, and use the resulting knowledge to improve software indexing and grouping. Therefore, this paper presents a novel method for formally defining and mining software-related websites and related literature with the ultimate aim of improving the global online visibility of the software. As a proof of concept, the method was used to evaluate the online visibility of biomedical text mining tools. These tools have evolved considerably in the last decades, and are gathering together a heterogeneous development community as well as various user groups. For the most part, these tools are not easily discovered via general search engines. Hence, the proposed method enabled the identification of specific issues regarding the visibility of these online contents and the discussion of some possible improvements.SING group thanks CITI (Centro de Investigación, Transferencia e Innovación) from University of Vigo for hosting its IT infrastructure. This work was partially supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE2020(POCI-01-0145-FEDER-006684).The authors also acknowledge the Ph.D.grants of MartínPérez-Pérez and Gael Pérez - Rodríguez, funded by the Xunta de Galicia.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoPérez-Rodríguez, GaelPérez-Pérez, MartínFdez-Riverola, FlorentinoLourenço, Anália2019-05-032019-05-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/58889engPérez-Rodríguez, Gael; Pérez-Pérez, Martín; Fdez-Riverola, Florentino; Lourenço, Anália, Online visibility of software-related web sites: The case of biomedical text mining tools. Information Processing & Management, 56(3), 565-583, 20190306457310.1016/j.ipm.2018.11.011http://www.elsevier.com/locate/issn/03064573info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:47:05Zoai:repositorium.sdum.uminho.pt:1822/58889Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:45:09.667210Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Online visibility of software-related web sites: The case of biomedical text mining tools
title Online visibility of software-related web sites: The case of biomedical text mining tools
spellingShingle Online visibility of software-related web sites: The case of biomedical text mining tools
Pérez-Rodríguez, Gael
Online visibility
Literature
Data mining
Explanatory and predictive models
Software tools
Science & Technology
title_short Online visibility of software-related web sites: The case of biomedical text mining tools
title_full Online visibility of software-related web sites: The case of biomedical text mining tools
title_fullStr Online visibility of software-related web sites: The case of biomedical text mining tools
title_full_unstemmed Online visibility of software-related web sites: The case of biomedical text mining tools
title_sort Online visibility of software-related web sites: The case of biomedical text mining tools
author Pérez-Rodríguez, Gael
author_facet Pérez-Rodríguez, Gael
Pérez-Pérez, Martín
Fdez-Riverola, Florentino
Lourenço, Anália
author_role author
author2 Pérez-Pérez, Martín
Fdez-Riverola, Florentino
Lourenço, Anália
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Pérez-Rodríguez, Gael
Pérez-Pérez, Martín
Fdez-Riverola, Florentino
Lourenço, Anália
dc.subject.por.fl_str_mv Online visibility
Literature
Data mining
Explanatory and predictive models
Software tools
Science & Technology
topic Online visibility
Literature
Data mining
Explanatory and predictive models
Software tools
Science & Technology
description Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.ipm.2018.11.011.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-03
2019-05-03T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/58889
url http://hdl.handle.net/1822/58889
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pérez-Rodríguez, Gael; Pérez-Pérez, Martín; Fdez-Riverola, Florentino; Lourenço, Anália, Online visibility of software-related web sites: The case of biomedical text mining tools. Information Processing & Management, 56(3), 565-583, 2019
03064573
10.1016/j.ipm.2018.11.011
http://www.elsevier.com/locate/issn/03064573
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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