Complex semantic querying made easy! gFacet is a new approach to explore RDF data by combining graph-based visualization with faceted filtering techniques. The facets are represented as nodes in a graph visualization and can be interactively added and removed by the users in order to produce individual search interfaces. Even multiple and distantly connected facets can be integrated in the graph facilitating the access of information from different user-defined perspectives. gFacet is based on the open source framework Adobe Flex and uses SPARQL queries to access RDF datasets.



gFacet is readily configured to access data from the LOD cloud and only requires a Flash Player plugin to be executed (which is usually already installed in web browsers).

All tools on this website are research prototypes that might contain errors. We do not guarantee their correct working and cannot offer comprehensive support.


  • Independent development

Further information


  • GNU General Public License


  • Flash
  • Flex
  • RDF


Timo Stegemann


Further contributors

Philipp Heim


Steffen Lohmann



Facet Graphs: Complex semantic querying made easy

Heim, P., Ertl, T., and Ziegler, J. (2010). Proceedings ESWC 2010 - 7th Extended Semantic Web Conference. Berlin: Springer.

GFacet: A Browser for the Web of Data

Heim, P., Ziegler, J., and Lohmann, S. (2008). Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW’08). Aachen: CEUR-WS.

ListGraph: Visuelle Analyse von RDF-Daten

Heim, P., Dalli, D., and Ziegler, J. (2008). Mensch und Computer 2008. München: Oldenburg.

Handling the Complexity of RDF Data: Combining List and Graph Visualization

Heim, P. and Ziegler, J. (2008). Proceedings of the 8th International Conference on Knowledge Management (I-KNOW 08). Graz: J.UCS.