It's a Dynamic World - Ubiquitous Streams and the Linked Data Web

introducer: Oscar Corcho, Technical University of Madrid
author: Manfred Hauswirth, DERI Galway, National University of Ireland, Galway
published: July 8, 2013,   recorded: May 2013,   views: 305
Categories

Slides

Related content

Report a problem or upload files

If 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.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

It is well established that we produce humongous amounts of information - technical infrastructures (smart grid, smart cities), the Social Web (Twitter, social networks, blogs), information systems (e-commerce, e-health), the media (newspapers, broadcasters), the Internet of Things, mobile phones, and many more - and that these amounts are growing exponentially. Linked Data gives us the technical means to network all this information and enables us to develop new forms of analytics on networked data from many sources instead of traditional "monolithic" data analytics. But this network of information is "in-discrete" as the data is produced continuously and at potentially high speeds with varying loads and demands on the producer and the consumer sides. This calls for new data/knowledge management approaches and as a result, the Linked Data world is slowly moving from a simplifying discrete model to a more realistic continuous view. This development impacts on and changes research problems in all areas and for all layers and requires well-orchestrated research efforts in and across research communities to support "streaming" as an integrated paradigm. In this talk, I will present a comprehensive stack of Linked Stream management approaches for all layers - from the Internet of Things to backend information systems, and will discuss the impact of streams on big data, analytics, and privacy.

See Also:

Download slides icon Download slides: eswc2013_hauswirth_data_01.pdf (11.8┬áMB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: