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
Abstract. Datasets published in the LOD cloud are recommended to follow some best practices in order...
Semantically annotated data gain more and more importance in future information acquiring processes....
Abstract. Datasets published in the LOD cloud are recommended to follow some best practice in order ...
This paper is about web applications to browse and efficiently visualise large Linked Open Dataset (...
This paper aims to tackle on Linked Open Data (LOD) customised visualisations. The work is part of a...
International audienceOver the recent years, Linked Open Data (LOD) has been increasingly used to su...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
Abstract. Formulating a query on a Linked Open Data (LOD) source is not an easy task; a technical kn...
In the recent years the Linked Open Data phenomenon has gained a substantial traction. This has lead...
The uptake and consumption of Linked Data is currently restricted almost entirely to the Semantic We...
International audienceThe Web of Linked Open Data (LOD) provides access to a great number of dynamic...
Abstract. In this paper we propose LODeX, a tool that produces a represen-tative summary of a Linked...
We present LODeX, a tool for visualizing, browsing and querying a LOD source starting from the URL o...
Abstract. Linked Open Data (LOD) has seen a tremendous rise in popularity. However, with rapid growt...
Abstract. Datasets published in the LOD cloud are recommended to follow some best practices in order...
Semantically annotated data gain more and more importance in future information acquiring processes....
Abstract. Datasets published in the LOD cloud are recommended to follow some best practice in order ...
This paper is about web applications to browse and efficiently visualise large Linked Open Dataset (...
This paper aims to tackle on Linked Open Data (LOD) customised visualisations. The work is part of a...
International audienceOver the recent years, Linked Open Data (LOD) has been increasingly used to su...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sou...
Abstract. Formulating a query on a Linked Open Data (LOD) source is not an easy task; a technical kn...
In the recent years the Linked Open Data phenomenon has gained a substantial traction. This has lead...
The uptake and consumption of Linked Data is currently restricted almost entirely to the Semantic We...
International audienceThe Web of Linked Open Data (LOD) provides access to a great number of dynamic...
Abstract. In this paper we propose LODeX, a tool that produces a represen-tative summary of a Linked...
We present LODeX, a tool for visualizing, browsing and querying a LOD source starting from the URL o...
Abstract. Linked Open Data (LOD) has seen a tremendous rise in popularity. However, with rapid growt...
Abstract. Datasets published in the LOD cloud are recommended to follow some best practices in order...
Semantically annotated data gain more and more importance in future information acquiring processes....
Abstract. Datasets published in the LOD cloud are recommended to follow some best practice in order ...