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A taxonomy generation tool for semantic visual analysis of large corpus of documents

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Sistemas Interactivos (DEI)es
dc.contributor.authorCarrión Recio, Belén
dc.contributor.authorOnorati, Teresa
dc.contributor.authorDíaz, Paloma
dc.contributor.authorVasiliki, Triga
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-04-06T07:45:38Z
dc.date.available2022-04-06T07:45:38Z
dc.date.issued2019-07-01
dc.description.abstractTaxonomies are semantic resources that help to categorize and add meaning to data. In a hyperconnected world where information is generated at a rate that exceeds human capacities to process and make sense of it, such semantic resources can help to access relevant information more efficiently by extracting knowledge from large and unstructured data sets. Taxonomies are related to specific domains of knowledge in which they identify relevant topics. However, they have to be validated by experts to guarantee that its terms and relations are meaningful. In this paper, we introduce a semiautomatic taxonomy generation tool for supporting domain experts in building taxonomies that are then used to automatically create semantic visualizations of data. Our proposal combines automatic techniques to extract, sort and categorize terms, and empowers domain experts to take part at any stage of the process by providing a visual edition tool. We tested the tool's usability in two use cases from different domains and languages. Results show that all the functionalities are easy to use and interact with. Lessons learned from this experience will guide the design of a utility evaluation involving domain experts interested in data analysis and knowledge modelingen
dc.description.sponsorshipThis work was supported by the project PACE grant funded by the Spanish Ministry of Economy and Competitivity [TIN2016- 77690-R]. Authors also acknowledge travel funding from the European Union’s Horizon 2020 Framework through NOTRE project (H2020-TWINN-2015, GA Number: 692058).en
dc.identifier.bibliographicCitationCarrion, B., Onorati, T., Díaz, P. et al. A taxonomy generation tool for semantic visual analysis of large corpus of documents. Multimed Tools Appl 78, 32919–32937 (2019). https://doi.org/10.1007/s11042-019-07880-yen
dc.identifier.doihttps://doi.org/10.1007/s11042-019-07880-y
dc.identifier.issn1380-7501
dc.identifier.publicationfirstpage32919
dc.identifier.publicationissue78
dc.identifier.publicationlastpage32937
dc.identifier.publicationtitleMULTIMEDIA TOOLS AND APPLICATIONSen
dc.identifier.urihttps://hdl.handle.net/10016/34532
dc.identifier.uxxiAR/0000024361
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. TIN2016-77690-Res
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/692058
dc.rights© The Author(s) 2019en
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.otherbig dataen
dc.subject.otherknowledge modellingen
dc.subject.othersemantic visualizationen
dc.subject.othertaxonomy development processen
dc.titleA taxonomy generation tool for semantic visual analysis of large corpus of documentsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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