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

The 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 ste...

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Detalles Bibliográficos
Autores principales: Bosetti, Gabriela Alejandra, Firmenich, Sergio Damián, Winckler, Marco, Rossi, Gustavo Héctor, Cornejo Fandos, Ulises Jeremías, Egyed-Zsigmond, Elöd
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Infovis
Web augmentation
Web scrapping
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/119026
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-119026
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Infovis
Web augmentation
Web scrapping
spellingShingle Ciencias Informáticas
Infovis
Web augmentation
Web scrapping
Bosetti, Gabriela Alejandra
Firmenich, Sergio Damián
Winckler, Marco
Rossi, Gustavo Héctor
Cornejo Fandos, Ulises Jeremías
Egyed-Zsigmond, Elöd
An end-user pipeline for scrapping and visualizing semi-structured data over the Web
topic_facet Ciencias Informáticas
Infovis
Web augmentation
Web scrapping
description The 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.
format Objeto de conferencia
Objeto de conferencia
author Bosetti, Gabriela Alejandra
Firmenich, Sergio Damián
Winckler, Marco
Rossi, Gustavo Héctor
Cornejo Fandos, Ulises Jeremías
Egyed-Zsigmond, Elöd
author_facet Bosetti, Gabriela Alejandra
Firmenich, Sergio Damián
Winckler, Marco
Rossi, Gustavo Héctor
Cornejo Fandos, Ulises Jeremías
Egyed-Zsigmond, Elöd
author_sort Bosetti, Gabriela Alejandra
title An end-user pipeline for scrapping and visualizing semi-structured data over the Web
title_short An end-user pipeline for scrapping and visualizing semi-structured data over the Web
title_full An end-user pipeline for scrapping and visualizing semi-structured data over the Web
title_fullStr An end-user pipeline for scrapping and visualizing semi-structured data over the Web
title_full_unstemmed An end-user pipeline for scrapping and visualizing semi-structured data over the Web
title_sort end-user pipeline for scrapping and visualizing semi-structured data over the web
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/119026
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