Interactive Relationship Discovery in RDF Data
Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access.
Check out the following links for some examples:
- Albert Einstein and Kurt Gödel (based on the DBpedia dataset)
- Kill Bill and Pulp Fiction (based on the LinkedMDB dataset)
- XML, RDF, and OWL (based on the DBpedia dataset)
The RelFinder can easily be configured to work with different RDF datasets. It can even be called from remote to access a specific dataset and/or certain objects.
The RelFinder can also be more deeply integrated with your project:
See the following examples of how the RelFinder is integrated into other projects:
- Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. The installation is based on the Linked Life Data project (see an example). Ontext also integrates the RelFinder in their FactForge interface for Linked Data access (see the FactForge RelFinder tab).
- The University of Leipzig applies the RelFinder to enable an exploration of relationships in a historical catalogue. The installation accesses the dataset of the Semantic Wiki OntoWiki (see an example).
The RelFinder is readily configured to access RDF data of the DBpedia project and only requires a Flash Player plugin to be executed (which is usually already installed in web browsers).
Since most DBpedia data has been automatically extracted from Wikipedia and other sources, it cannot be expected to be 100% complete or correct. If you want to help improving the data, read about how to contribute to DBpedia.
All tools on this website are research prototypes that might contain errors. We do not guarantee their correct working and cannot offer comprehensive support.
Read more about the RelFinder and the topic of Interactive Relationship Discovery (IRD) in the following publications:
In: Proceedings of the 7th Extended Semantic Web Conference (ESWC 2010), volume 6088, series LNCS, pages 303-317. Springer, Berlin/Heidelberg, 2010.
Philipp Heim, Steffen Lohmann and Timo Stegemann.
In: Proceedings of the 14th International Conference on Intelligent User Interfaces (IUI 2010), pages 421-422. ACM, New York, NY, USA, 2010.
Steffen Lohmann, Philipp Heim, Timo Stegemann and Jürgen Ziegler.
In: Proceedings of the 4th International Conference on Semantic and Digital Media Technologies (SAMT 2009), pages 182-187. Springer, Berlin/Heidelberg, 2009.
Philipp Heim, Sebastian Hellmann, Jens Lehmann, Steffen Lohmann and Timo Stegemann.
The RelFinder is an advancement of the "DBpedia Relationship Finder" that is described in: