Linked Data Applica/ons Consuming Linked Data Tutorial World Wide Web Conference 2010
Jan 27, 2015
Linked Data Applica/ons
Consuming Linked Data Tutorial World Wide Web Conference 2010
What is a Linked Data applica/on
• So@ware system that makes use of data on the web from mul/ple datasets and that benefits from links between the datasets
Characteris/cs of Linked Data Applica/ons
• Consume data that is published on the web following the Linked Data principles: an applica/on should be able to request, retrieve and process the accessed data
• Discover further informa/on by following the links between different data sources: the fourth principle enables this.
• Combine the consumed linked data with data from sources (not necessarily Linked Data)
• Expose the combined data back to the web following the Linked Data principles
• Offer value to end-‐users
Researchers Map
Music Bore
hSp://vimeo.com/5561292
Seman/c Search
Linked Data and E-‐Learning
• Netex – www.netex.es • Enrich their e-‐learning content with Dbpedia and Flickrwrapper
1st Linked Data-‐a-‐thon
• Co-‐located at ISWC2009 • Spontaneous and organized in a few days • Three day hacking session • Goal was to develop an innova/ve applica/on that showcase the virtues of Linked Data.
• 8 par/cipa/ng groups
Winners
• United States Linked Data Overlay – Use Linked Data about geographical loca/ons and display it on Google Earth.
• www.diversity-‐search.info – Web and Image search engine augmented with Linked Data
– Pictures of David Beckham playing football in the different clubs he has played for
• Find tradi/onal Chinese medicine as an alterna/ve to western drugs
• iGoogr: Imagine Google was using Good Rela/ons vocabulary for e-‐commerce
1st Linked Data-‐a-‐thon was a huge success and we learned a lot
We asked ourselves…
• What tools were used? • What datasets were used?
• How was auto discovery achieved? • How were the queries wriSen? • Which vocabularies/ontologies were used?
• How was the performance of the applica/on?
• How trustworthy was the data?
Lessons Learned
• Par/al Unreliability of Infrastructure – Querying on-‐the-‐fly – Overhead of transla/ng HTTP URIs to SPARQL, then to SQL and then back
• Lack of Interlinking • Cross dataset querying is a challenge • Ignorance to licensing and informa/on quality
• Discover relevant Linked Data is an open problem
Ques/ons?