We are pleased to announce the release of the DBpedia Faceted Browser by Jona Christopher Sahnwaldt as well as the DBpedia User Script by Anja Jentzsch.

The DBpedia Faceted Browser allows you to explore Wikipedia via a faceted browsing interface. It supports keyword queries and offers relevant facets to narrow down search results, based on the DBpedia Ontology. In this manner, queries such as “recent films about Buenos Aires” can be easily and intuitively posed against DBpedia.
The DBpedia Faceted browser was developed in cooperation with the search engine company Neofonie, which also kindly provided the funding for this project.

The DBpedia User Script is a Greasemonkey script that enhances Wikipedia pages with a link to their corresponding DBpedia page and can be used within Firefox, Safari and Opera with a suitable Greasemonkey plugin.

Links:

• DBpedia Faceted Browser
• DBpedia User Script

We are happy to announce that DBpedia Mobile has won the 2nd prize of the Semantic Web Challenge at the 7th International Semantic Web Conference.

DBpedia Mobile is a location-aware client for the Semantic Web that can be used on an iPhone and other mobile devices. Based on the current GPS position of a mobile device, DBpedia Mobile renders a map indicating nearby locations from the DBpedia dataset. Starting from this map, the user can explore background information about his surroundings by navigating along data links into otherWeb data sources. DBpedia Mobile has been designed for the use case of a tourist exploring a city. As the application is not restricted to a xed set of data sources but can retrieve and display data from arbitrary Web data sources, DBpedia Mobile can also be employed within other use cases, including ones unforeseen by its developers. Besides accessing Web data, DBpedia Mobile also enables users to publish their current location, pictures and reviews to the Semantic Web so that they can be used by other Semantic Web applications. Instead of simply being tagged with geographical coordinates, published content is interlinked with a nearby DBpedia resource and thus contributes to the overall richness of the Geospatial Semantic Web.

For more information about DBpedia Mobile please refer to:

• Semantic Web Challenge Submission
• Slides from our presentation at the conference.

Freie Universität Berlin has released DBpedia Mobile.  Based on the current GPS position of a mobile device, DBpedia Mobile renders a map containing information about nearby locations from the DBpedia dataset (currently around 300,000 locations). DBpedia Mobile uses the Marbles Linked Data Browser to render Fresnel-based views for selected resources, as well as its SPARQL capabilities to build the map view. Starting from the map, users can explore background information about locations and can navigate into DBpedia and other interlinked datasets such as GeoNames, Revyu, EuroStat and Flickr.

More information about DBpedia Mobile is found on the project website.

The DBpedia Relationship Finder allows you to explore the DBpedia infobox dataset in order to find out which relations exist between two things. It can answer questions like “How are Leipzig and the Semantic Web related?“. The new version includes, amongst other changes, better algorithms and the possibility to ignore objects and properties.

The debug interface allows you to run the current version of the DBpedia extraction code against the live version of Wikipedia. Just enter a page Id like ‘Berlin’ and check what the current code extracts. Please use the debug interface to check if a bug still accures with the current code before reporting the bugs to the DBpedia bug tracker.

The Relationship Finder explores the DBpedia dataset two find out which relations exist between two things. It can answer questions like “How
are Leipzig and the Semantic Web related?“.

The search interface provides free-text search, result classification and display DBpedia data together with data from external sources. A documentation will be added soon. See Developer Blog.

There are two new applications using the DBpedia person data. Essai Timeline by Gautier Poupeau and WikiStory by Pierre Lindenbaum. As both applications are from France, our new French abstracts might be interesting for them.