Keynote: For a Few Triples More

The Web of Linked Data contains about 25 billion RDF triples and almost half a billion links across data sources; it is becoming a great asset for semantic applications. Linked Data comprises large general-purpose knowledge bases like DBpedia, Yago, and Freebase, as well as many reference collections in a wide variety of areas, spanning sciences, culture, entertainment, and more. Notwithstanding the great potential of Linked Data, this talk argues that there are significant limitations that need to be overcome for further progress. These limitations regard data scope and, especially, data quality. The talk discuss these issues and approaches to extending and enriching Linked Data, in order to improve its scope, quality, interpretability, cross-linking, and usefulness.

Authors and Affiliations

1. Max-Planck-Institute for Informatics (MPI), Germany

   Gerhard Weikum

Editors and Affiliations

1. Computer Science Dept., VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

   Lora Aroyo

2. IBM Research, NY 10598, Yorktown Heights, USA

   Chris Welty

3. The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

   Harith Alani

4. Google, USA

   Jamie Taylor

5. University of Zurich, Binzmuehlestrasse 14, 8050, Zurich, Switzerland

   Abraham Bernstein

6. Massachusetts Institute of Technology, 32 Vassar Street, MA 02139, Cambridge, USA

   Lalana Kagal

7. Stanford University, 94305, Stanford, CA, USA

   Natasha Noy

8. Linköping University, 581 83, Linköping, Sweden

   Eva Blomqvist

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