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Revisiting SPARQL by Example: SPARQL 1.1

Date: May 26, 2010, 11:00AM (1 hour)
Register: View the recorded webcast

In 2008-2009, Lee Feigenbaum gave a series of presentations (PART I; PART II) for Semantic Universe on SPARQL, the query language of the Semantic Web. This year, SPARQL is going through some major updates with the release of SPARQL 1.1, and in this webcast, Lee has agreed to revisit the topic to discuss specifically some of what has changed. Lee will use real queries that can be run against real data on the Web to demonstrate the structure and features of SPARQL. SUPPLEMENTARY MATERIALS: "What's coming in SPARQL 1.1?" http://www.slideshare.net/LeeFeigenbaum/sparql2-status "SPARQL By Example" http://www.cambridgesemantics.com/2008/09/sparql-by-example "SPARQL Cheat Sheet" http://www.slideshare.net/LeeFeigenbaum/sparql-cheat-sheet * At SemTech 2010, June 21-25, Lee and his colleague Eric Prud'hommeaux, will give a full half-day, hands-on tutorial on SPARQL 1.1.

Presenters:

Lee Feigenbaum
Lee Feigenbaum
Cambridge Semantics

Lee Feigenbaum has been using Semantic Web technologies to architect and develop enterprise middleware and applications since 2003. He brings this expertise to his role as Cambridge Semantics’s VP of Technology and Standards, where he is responsible for the design and development of the Anzo family of semantic applications and middleware. Lee is the author of Glitter, a pluggable SPARQL engine designed to query multiple data sources. Lee served as Chair of the W3C RDF Data Access Working Group, publishing the SPARQL query language and protocol specifications. Lee co-authored "The Semantic Web in Action," a December 2007 article in Scientific American. Before joining Cambridge Semantics, Lee spent five years as an engineer with IBM’s Advanced Internet Technology Group. There, his experiences spanned knowledge management and annotation systems, instant-messaging software, and Web-based client application runtimes. Lee writes about Semantic Web technologies at his blog, TechnicaLee Speaking.

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