Fwd: Free webinar 'Scaling up Linked Data' December 19 2013 2 pm GMT (3 pm CET)

FYI

---------- Forwarded message ----------
From: Elena Simperl <e.simperl@soton.ac.uk>
Date: 3 December 2013 11:43
Subject: Free webinar 'Scaling up Linked Data' December 19 2013 2 pm GMT (3
pm CET)
To: public-lod@w3c.org


*** Apologies for cross-postings ***

The EUCLID project (http://www.euclid-project.eu) is happy to announce the
sixth and last of its live webinar series. The webinar is dedicated to the
theme of scalability in Linked Data applications and will be held on
December 19th, 2013 at 2 pm GMT (3 pm CET).

Previous EUCLID webinars have provided an overview of the various
application scenarios and best practices for publishing, managing, querying
and interacting with Linked Data. At the same time, there are specific
challenges related to the application of Linked Data technologies in
scenarios which pose high demands in terms of data volume, velocity and
variety. This webinar will address the current state-of-the-art of using
Linked Data and semantic technologies in a Big Data context, including
NoSQL for RDF data management, scalable RDFS reasoning, and stream data
management.

To participate in the webinar please visit http://stadium.open.ac.uk/
stadia/preview.php?whichevent=2299

The slides used in the webinar will be uploaded at
http://www.slideshare.net/EUCLIDproject.

Recordings of the webinar will be made available shortly after the live
event at http://vimeo.com/euclidproject

In the mean time, please feel free to follow us, for further announcements
via Twitter at https://twitter.com/euclid_project or join our discussion
group on LinkedIn at http://www.linkedin.com/groups/Education-Training-on-
Semantic-Technologies-4917016.

-- 
Dr. Elena Simperl
Senior Lecturer
Web and Internet Science Group
Electronics & Computer Science
University of Southampton
email: E.Simperl@soton.ac.uk
twitter: https://twitter.com/esimperl
telefone: +44 2380 59 7692
mobile: +44 7900 666705

Received on Wednesday, 18 December 2013 14:58:26 UTC