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SILKNOWViz: Spatio-temporal data ontology viewer
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SILKNOWViz: Spatio-temporal data ontology viewer
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| dc.contributor.author | Sevilla Peris, Javier | |
| dc.contributor.author | Portalés, Cristina | |
| dc.contributor.author | Gimeno, Jesús | |
| dc.contributor.author | Sebastián, Jorge | |
| dc.date.accessioned | 2019-07-09T10:44:15Z | |
| dc.date.available | 2019-07-09T10:44:15Z | |
| dc.date.issued | 2019 | es_ES |
| dc.identifier.citation | Sevilla, J., Portalés, C., Gimeno, J. and Sebastián, J. , 2019. SILKNOWViz: Spatio-temporal data ontology viewer. International Conference on Computational Science (ICCS). | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10550/70769 | |
| dc.description.abstract | Interactive visualization of spatio-temporal data is a very active area that has experienced remarkable advances in the last decade. This is due to the emergence of fields of research such as big data and advances in hardware that allow better analysis of information. This article describes the methodology followed and the design of an open source tool, which in addition to interactively visualizing spatio-temporal data that are represented in an ontology, allows the definition of what to visualize and how to do it. The tool allows selecting, filtering and visualizing in a graphical way the entities of the ontology with spatiotemporal data, as well as the instances related to them. The graphical elements used to display the information are specified on the same ontology, extending the VISO graphic ontology, used for mapping concepts to graphic objects with RDFS/OWL Visualization Language (RVL). This extension contemplates the data visualization on rich real-time 3D environments, allowing different modes of visualization according to the level of detail of the scene, while also emphasizing the treatment of spatio-temporal data, very often used in cultural heritage models. This visualization tool involves simple visualization scenarios and high interaction environments that allow complex comparative analysis. It combines traditional solutions, like hypercube or time-animations with innovative data selection methods. | es_ES |
| dc.description.abstract | Interactive visualization of spatio-temporal data is a very active area that has experienced remarkable advances in the last decade. This is due to the emergence of fields of research such as big data and advances in hardware that allow better analysis of information. This article describes the methodology followed and the design of an open source tool, which in addition to interactively visualizing spatio-temporal data that are represented in an ontology, allows the definition of what to visualize and how to do it. The tool allows selecting, filtering and visualizing in a graphical way the entities of the ontology with spatiotemporal data, as well as the instances related to them. The graphical elements used to display the information are specified on the same ontology, extending the VISO graphic ontology, used for mapping concepts to graphic objects with RDFS/OWL Visualization Language (RVL). This extension contemplates the data visualization on rich real-time 3D environments, allowing different modes of visualization according to the level of detail of the scene, while also emphasizing the treatment of spatio-temporal data, very often used in cultural heritage models. This visualization tool involves simple visualization scenarios and high interaction environments that allow complex comparative analysis. It combines traditional solutions, like hypercube or time-animations with innovative data selection methods. | en_US |
| dc.language.iso | en | es_ES |
| dc.title | SILKNOWViz: Spatio-temporal data ontology viewer | es_ES |
| dc.type | lecture | es_ES |
| dc.subject.unesco | UNESCO::CIENCIAS TECNOLÓGICAS | es_ES |
| dc.identifier.doi | 10.1007/978-3-030-22750-0_8 | es_ES |
| dc.relation.projectID | H2020/CULT COOP 9-2016 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/769504/EU/SILKNOW/SILKNOW | en |
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