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LinDA - Visualising and Exploring Linked Data

 
: Thellmann, Klaudia; Orlandi, Fabrizio; Auer, Sören

:
Volltext ()

Sack, H.:
SEMANTiCS 2014. Posters and Demos. Online resource : Proceedings of the Posters and Demos Track of 10th International Conference on Semantic Systems - SEMANTiCS2014 Leipzig, Germany, September 4-5, 2014
Leipzig: CEUR, 2014 (CEUR Workshop Proceedings 1224)
http://ceur-ws.org/Vol-1224/
ISSN: 1613-0073
S.39-42
International Conference on Semantic Systems (SEMANTICS) <10, 2014, Leipzig>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

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.

: http://publica.fraunhofer.de/dokumente/N-481423.html