An end-user pipeline for scrapping and visualizing semi-structured data over the Web

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)es
cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloUniversit´e Nice Sophia Antipolises
cic.lugarDesarrolloUniversit´e de Lyones
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzadaes
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2020-10-28T13:11:43Z
dc.date.available2020-10-28T13:11:43Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/10709
dc.titleAn end-user pipeline for scrapping and visualizing semi-structured data over the Weben
dc.typeDocumento de conferenciaes
dcterms.abstractThe Web is a vast source of semi-structured data sets that are made readily available to support the construction of new knowledge. Information visualization techniques have been demonstrated a suitable alternative for allowing users to analyze and understand a large amount of data. However, the steps required for visualizing semi-structured data obtained from the Web is not straightforward, and it requires proper treatment before information visualization techniques could be applied. In this work, we present a visualization pipeline for describing the fundamental operations required for visualizing semi-structured data over the Web. For that, we employ Web Scrapping and Web Augmentation techniques for supporting interactive visualizations and solving tasks without changing the context of use of the data. Our approach is duly supported by a framework including scrapping, augmenting and visualization tools and it has been applied to different kinds of websites to demonstrate its validity and feasibility. Our ultimate goal is to expand the limits of our technology for improving the user interaction with websites and creating new experiences for better understanding large data sets.en
dcterms.creator.authorBosetti, Gabriela Alejandraes
dcterms.creator.authorFirmenich, Sergioes
dcterms.creator.authorWinckler, Marcoes
dcterms.creator.authorRossi, Gustavo Héctores
dcterms.creator.authorCornejo Fandos, Uliseses
dcterms.creator.authorEgyed Zsigmond, Elödes
dcterms.extent223-237es
dcterms.identifier.otherdoi:10.1007/978-3-030-19274-7_17es
dcterms.identifier.urlRecurso onlinees
dcterms.isPartOf.itemWeb Engineering 19th International Conference, ICWE 2019, Daejeon, South Korea, June 11–14, 2019, Proceedingses
dcterms.isPartOf.series19th International Conference, ICWE 2019 (Corea del Sur, 11 al 14 de junio de 2019)es
dcterms.issued2019
dcterms.languageIngléses
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)es
dcterms.subjectInfovisen
dcterms.subjectWeb augmentationen
dcterms.subjectWeb scrappingen
dcterms.subject.materiaCiencias de la Computación e Informaciónes
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