Entity-Centric Visualization of Open Data

Abstract : The diversity, which is intrinsic to open data, affects intuitiveness and acceptance from the end users perspective. While the existing visualization techniques provide various ways to exploit open data in different domains, they still lack mechanisms to capture generality and flexibility across highly heterogeneous data representations that are crucial in the open data domain. We propose a novel visualization approach that exploits an entity-centric representation of open data. The key idea is that people intuitively perceive things as entities and categorize them according to their similarities and differences. The approach is supported by a UI architecture that allows aligning underlying open data described by the entities with a meaningful user experience. A preliminary user study shows the feasibility of our approach and its potential in turning the exploitation of open data catalogues into a positive user experience.
Type de document :
Communication dans un congrès
15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9298 (Part III), pp.149-166, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22698-9_11〉
Liste complète des métadonnées

Littérature citée [44 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01609414
Contributeur : Hal Ifip <>
Soumis le : mardi 3 octobre 2017 - 15:53:01
Dernière modification le : mardi 3 octobre 2017 - 15:56:52

Fichier

346946_1_En_11_Chapter.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Sajan Ojha, Mladjan Jovanovic, Fausto Giunchiglia. Entity-Centric Visualization of Open Data. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9298 (Part III), pp.149-166, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22698-9_11〉. 〈hal-01609414〉

Partager

Métriques

Consultations de la notice

26

Téléchargements de fichiers

1