Big Graph Data Panel

author: Frank van Harmelen, Department of Computer Science, Faculty of Sciences, Vrije Universiteit Amsterdam (VU)
author: Tim Berners-Lee, World Wide Web Consortium (W3C)
author: John Giannandrea, Metaweb Technologies Inc.
author: Mike Stonebreaker, Massachusetts Institute of Technology, MIT
author: Bryan Thompson, SYSTAP
published: Dec. 3, 2012,   recorded: November 2012,   views: 10085

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he Semantic Web / Linked Data has grown immensely over the past years. When the Semantic Web community started working over a decade ago the main question was where to get the data from. By now the question of how to process ever increasing amount of semantic/linked data has come to people's utmost attention. The goal of this panel is to shed light on the various approaches/options for Big Graph Data processing. Possible questions include:

  • Does the Semantic Web need any central infrastructures? (It's a Web, after all?)
  • Or will a handful of large single-owner infrastructures dominate the Semantic Web, just as they now dominate the current Web?
  • And if so, will such infrastructures be based on the standard relational model?
  • Or on MapReduce-centric key/value-pairs?
  • Is Google's (centralised) Knowledge Graph anathema to the Semantic *Web* ?
  • Are triplestore vendors just reinventing the old database wheels?
  • What is the role of clustered MapReduce-like solutions and where are their limits for processing semantic web data?

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Reviews and comments:

Comment1 Ted Thibodeau Jr, December 20, 2012 at 10:07 p.m.:

I find myself wishing for a full transcript, with annotation by the panel, clarifying and correcting remarks that seem rather incorrect and/or incomplete from my vantage point.

I'd also like to have better identification of the audience questioners, some of whom may be similarly expert as the panel members, but aren't given such credit in the current presentation...

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