Which Linked Data facetted browsing functionality do we provide?

 

Multiple classifications to an object, here a ISWC paper, enable paper classifications to be ordered in multiple ways, rather than in a single, predetermined, taxonomic order. With the help of these automatically generated facets, you can browse the papers of your colleagues/friends, and also filter the relevant papers according to the available metadata criteria: years, months, keywords, topics, and the names of your friends as paper authors.

 

Which features have we implemented?

 

• We make use of multiple Linked Data sources; DBpedia contents are extracted according to semantic keyword links of the filtered papers. Photos related to DBpedia topics are provided by the tool called "flickr wrappr".
• The system's browser page is dynamically generated and updated.
• In addition to interactive boxes, links, and tables, the GUI uses Javascript widgets to visualise individual paper retrieval results (works best in Chrome, Safari, etc.).
• Keywords and topics of a paper are highlighted within the abstract.
• External data is provided by a slideshow which enables us to jump directly to the data of interest, such as DBpedia comments or flickr photos. The slideshow can be enabled by selecting a highlighted topic.
• Query Processing: SemanticWeb.org (SPARQL), DBPedia (SPARQL), Flickrwrapper (web service)

 

How does the system work technically?

 

We implemented a graphical user interface from scratch by using the open-source knowledge management tool Exhibit, see http://www.simile-widgets.org/exhibit/ (Free Software). After the facets have been specified, an RDF data dump is made from the ISWC input and load onto our DFKI Virtuoso server. The interactive GUI then triggers several SPARQL queries (at query-time) and provides additional DBpedia information about topic keywords of filtered papers in multiple languages (according to established DBpedia links). We use the web service flickr wrapper (http://www4.wiwiss.fu-berlin.de/flickrwrappr/) at query-time in order to retrieve RDF links to relevant photos of DBpedia resources.

 
 
Have fun!  
 
     Jochen Setz, Maha Ahmed Baker and Daniel Sonntag, DFKI