Consuming Linked Data talk at 2010 Semantic Technology Conference

Juan Sequeda gave a talk on Consuming Linked Data at the 2010 Semantic Technology Conference. This one hour talk gives an introduction on Linked Data, how Linked Data can be consumed by humans and how Linked Data can be consumed by machines through SPARQL. You can also find several links to current Linked Data applications.

COLD2010: 1st International Workshop on Consuming Linked Data co-located with ISWC2010

The quantity of published Linked Data is increasing dramatically. However, applications that consume this data are not yet endemic. Reasons for this may include one or more of a number of open issues including, lack of methods for seamless integration of Linked Data from multiple sources, dynamic discovery of available data and data sources, provenance and information quality assessment, application development environments, and appropriate end user interfaces.

How to Consume Linked Data on the Web at WWW2010

Date: Monday, April 26, 2010. 9:00 - 12:30

In the past two years, the amount of data published in RDF and following the Linked Data principles has increase dramatically. Every day people are publishing datasets as Linked Data. However, applications that consume Linked Data are not mainstream yet. This tutorial will present existing techniques in which users can currently consume Linked Data and use it in their applications.

How to Consume Linked Data on the Web Tutorial at ISWC2009

Date: Sunday, 25th October, 8:30- 12:30

Place: Westfields Conference Center, Chantilly, Virginia

Linked Data is now here! In the past two years, the amount of data published in RDF and following the Linked Data principles has increased dramatically. Everyday people are publishing datasets as Linked Data. However, applications that consuming Linked Data are not mainstream yet. This tutorial is a continuation on the previous “How to Publish Linked Data on the Web” tutorial from ISWC2008 and the focus is for a beginner participants. This tutorial will presents existing techniques in which users can currently consume Linked Data and use it in their current applications. Furthermore, we will present existing applications that consume Linked Data.

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