Please note: This website exists only for historical reasons and is no longer maintained.
The projects on this website are deprecated.


More information on the DBpedia endpoint availability.

Tools

Several tools have already been developed in the project that showcase the visual power of the Data Web.

The following four tools are all implemented in the open source framework Adobe Flex. They are readily configured to access RDF data of the DBpedia and/or Linking Open Data (LOD) projects and only require a Flash Player to be executed (which is usually already installed in Web browsers).

Just try out the live demos or watch the screencasts first. If you want to know more about the tools, check out the separate tool pages or get in contact with the developers.


RelFinder Preview RelFinder Logo
Watch screencast
Try out live demo
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Are you interested in how things are related with each other?
The RelFinder helps to get an overview: It extracts and visualizes relationships between objects in RDF data and makes these relationships interactively explorable. Read more...


Semlens Preview SemLens Logo
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Try out live demo
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Do you want to analyse trends and correlations in RDF data?
SemLens provides a visual interface that combines scatter plots and semantic lenses. The scatter plots offer a global visualization that can be locally explored with the semantic lenses. Read more...


gFacet Preview gFacet Logo
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Try out live demo
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Complex semantic querying made easy!
gFacet supports faceted exploration of RDF data by representing facets as nodes in a graph visualization. The facets can be interactively added and removed in order to produce individual search interfaces. Read more...

tfacet Preview tFacet Logo
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Try out live demo
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Hierarchical faceted exploration of RDF data.
tFacet applies known interaction concepts to allow hierarchical faceted exploration of RDF data. The aim is to facilitate ordinary users to formulate semantically unambiguous queries so as to support the fast and precise access to information. Read more...

Notes

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.