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  1. Pubblicazioni

High-level visualization over big linked data

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Citazione:
High-level visualization over big linked data / Po, Laura; Malvezzi, Davide. - 2180:(2018). ( 17th International Semantic Web Conference (ISWC 2018) Monterey, California, USA 8-12 October, 2018).
Abstract:
The Linked Open Data (LOD) Cloud is continuously expanding and the number of complex and large sources is raising. Understanding at a glance an unknown source is a critical task for LOD users but it can be facilitated by visualization or exploration tools. H-BOLD (High-level visualization over Big Open Linked Data) is a tool that allows users with no a-priori knowledge on the domain nor SPARQL skills to start navigating and exploring Big Linked Data. Users can start from a high-level visualization and then focus on an element of interest to incrementally explore the source, as well as perform a visual query on certain classes of interest. At the moment, 32 Big Linked Data (with more than 500.000 triples) exposing a SPARQL endpoint can be explored by using H-BOLD.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Big Data; Linked Open Data; SPARQL; Visualization; Computer Science (all)
Elenco autori:
Po, Laura; Malvezzi, Davide
Autori di Ateneo:
PO Laura
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1169199
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1169199/208093/camera%20ready.pdf
https://iris.unimore.it//retrieve/handle/11380/1169199/208094/Demo_HBOLD_finale.mp4
Titolo del libro:
2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018 - CEUR Workshop Proceedings
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
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http://ceur-ws.org/
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