Material Detail

Creating Knowledge Out of Interlinked Data

Creating Knowledge Out of Interlinked Data

This video was recorded at 1st International Conference on Web Intelligence, Mining and Semantics (WIMS), Sogndal 2011. Over the past 4 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of the Semantic Web vision: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This talk will discuss approaches for tackling these challenges and their integration into a mutual refinement cycle - the "linked data washing machine".


  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material


Log in to participate in the discussions or sign up if you are not already a MERLOT member.