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2014
Conference Paper
Title

LinDA - Visualising and Exploring Linked Data

Abstract
The main goal of our work in the context of the LinDA (Linked Data Analytics) project is to offer small and medium sized enterprises (SMEs) possibilities for integrating and consuming data by using Linked Data technologies. One of the major challenges of this project consists in providing user-friendly means of exploring and visualising Linked Data. To achieve this, a Semantic Web application has been created, based on state-of-the-art linked data visualisation approaches, which allows a largely automatic matching and binding of data to visualisations. Hence, in this demo paper we demonstrate the potential of a visualisation framework which is capable of dealing with different data formats, serialisations and Semantic Web ontologies.
Author(s)
Thellmann, Klaudia
Orlandi, Fabrizio  
Auer, Sören  
Mainwork
SEMANTiCS 2014. Posters and Demos. Online resource  
Conference
International Conference on Semantic Systems (SEMANTICS) 2014  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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