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.
Customising LOD views: A declarative approach / Graziosi, Alice; Di Iorio, Angelo; Poggi, Francesco; Peroni, Silvio; Bonini, Luca. - (2018), pp. 2185-2192. (Intervento presentato al convegno 33rd Annual ACM Symposium on Applied Computing, SAC 2018 tenutosi a Pau, Francia nel 2018) [10.1145/3167132.3167367].
Customising LOD views: A declarative approach
Poggi, Francesco;
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.
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