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Reflecting Knowledge Diversity

Project description


Intelligent information management
United in diversity
RENDER engages with the World Wide Web and its amazing diversity of information, opinions, viewpoints, mind sets and news. RENDER addresses the challenges of purposeful access, processing and management of these sheer amounts of data, whilst leveraging the diversity inherently unfolding through world wide-scale contribution and collaboration on the Web.
Diversity will be leveraged as a crucial source of innovation and creativity, whilst providing enhanced support for feasibly managing data at very large scale, and for designing novel algorithms that reflect diversity in the ways information is selected, ranked, aggregated, presented and used. RENDER’s information management solution shall scale to large amounts of data and hundreds of thousands of users, while reflecting on the plurality of points of views and opinions. This is demonstrated by high-profile case studies under the lead of Wikimedia Germany, Google Ireland and Telefonica I&D applying RENDER over real news, blog and data streams that produce millions of data items per day.
RENDER realizes a world in which information is acquired and shared in a fundamentally different manner than the consensual approach promoted by movements such as Web 2.0 and where communication and collaboration across the borders of social, cultural or professional communities are truly enabled via advanced Web technology, supporting one of the credos of European society: “United in diversity”.

The Web has proved to be an unprecedented success for facilitating the publication, use and exchange of information, at planetary scale, on virtually every topic, and representing an amazing diversity of opinions, viewpoints, mind sets and backgrounds. Its design principles and core technological components have lead to an unprecedented growth and mass collaboration. This trend is also finding increasing adoption in business environments. Nevertheless, the Web is also confronted with fundamental challenges with respect to the purposeful access, processing and management of these sheer amounts of information, whilst remaining true to its principles, and leveraging the diversity inherently unfolding through world wide scale collaboration.RENDER will engage with these challenges by developing methods, techniques, software and data sets that will leverage diversity as a crucial source of innovation and creativity, whilst providing enhanced support for feasibly managing data at very large scale, and for designing novel algorithms that reflect diversity in the ways information is selected, ranked, aggregated, presented and used. RENDER's information management solution will scale to very large amounts of data and hundreds of thousands of users, but also to a plurality of points of views and opinions. This will be demonstrated through the usage of realistic data sources with billions of items; through open source extensions to popular communication and collaboration platforms (MediaWiki, WordPress); and through three high-profile case studies.RENDER will help to realize a world where information is acquired and shared in a fundamentally different manner than the consensual approach promoted by movements such as Web 2.0 and where communication and collaboration across the borders of social, cultural or professional communities are truly enabled via advanced Web technology, supporting one of the credos of European society: "United in diversity".

Fields of science

Programme(s)

Topic(s)

Call for proposal

FP7-ICT-2009-5
See other projects for this call

Funding Scheme

CP - Collaborative project (generic)

Coordinator Contact

Rudi STUDER Prof.

Coordinator

KARLSRUHER INSTITUT FUER TECHNOLOGIE
Address
Kaiserstrasse 12
76131 Karlsruhe
Germany

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Region
Baden-Württemberg Karlsruhe Karlsruhe, Stadtkreis
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Rudi Studer (Prof.)
Links
EU contribution
€ 691 099,00

Participants (6)

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Last update: 20 April 2017

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Permalink: https://cordis.europa.eu/project/id/257790

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