This paper is about web applications to browse and efficiently visualise large Linked Open Dataset (LOD). The focus is on the customisation of LOD views over semantic datasets also for non expert users. The paper presents the motivation and the details of a visual data format and a chain of tools to easily produce and customize such visualisations. Two proofs of concepts are also presented in order to demonstrate the feasibility and flexibility of our approach.

Graziosi, A., Di Iorio, A., Poggi, F., Peroni, S., Bonini, L. (2018). Customising LOD views: A declarative approach. Association for Computing Machinery [10.1145/3167132.3167367].

Customising LOD views: A declarative approach

Graziosi, Alice;Di Iorio, Angelo;Poggi, Francesco;Peroni, Silvio;
2018

Abstract

This paper is about web applications to browse and efficiently visualise large Linked Open Dataset (LOD). The focus is on the customisation of LOD views over semantic datasets also for non expert users. The paper presents the motivation and the details of a visual data format and a chain of tools to easily produce and customize such visualisations. Two proofs of concepts are also presented in order to demonstrate the feasibility and flexibility of our approach.
2018
Proceedings of the ACM Symposium on Applied Computing
2185
2192
Graziosi, A., Di Iorio, A., Poggi, F., Peroni, S., Bonini, L. (2018). Customising LOD views: A declarative approach. Association for Computing Machinery [10.1145/3167132.3167367].
Graziosi, Alice; Di Iorio, Angelo; Poggi, Francesco; Peroni, Silvio; Bonini, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/673076
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