Big Graph Data Panel
author: Mike Stonebreaker, Massachusetts Institute of Technology, MIT
author: John Giannandrea, Metaweb Technologies Inc.
author: Tim Berners-Lee, World Wide Web Consortium
author: Frank van Harmelen, Department of Computer Science, Faculty of Sciences, VU University Amsterdam
published: Dec. 3, 2012, recorded: November 2012, views: 802
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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?
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !