MUP/PLE Lecture Series
This event took place on Tuesday 12 April 2011 at 14:00
Denis Gillet Swiss Federal Institute of Technology in Lausanne (EPFL)
In this talk, underlying social media models will be discussed. Their potential to understand the interaction processes, to implement recommendation and to enforce trust will be illustrated. A special focus will be placed on capturing context in personal learning and knowledge management. An example showing how the 4A model proposed by EPFL supports the design and the implementation of PLE in Graaasp (http://graaasp.epfl.ch) will be presented.
The next talk of this lecture series will be held by Matthias Palmer on
the 26/04/2011. For further information about the upcoming events, find
the schedule here:
http://www.teleurope.eu/pg/pages/view/82822/muple-lecture-series-dates-announced
Join the MUPPLE group on TELeurope:
http://www.teleurope.eu/pg/groups/681/mupple/ to discuss and share your
experiences with Personal Learning Environments.
This event took place on Tuesday 12 April 2011 at 14:00
In this talk, underlying social media models will be discussed. Their potential to understand the interaction processes, to implement recommendation and to enforce trust will be illustrated. A special focus will be placed on capturing context in personal learning and knowledge management. An example showing how the 4A model proposed by EPFL supports the design and the implementation of PLE in Graaasp (http://graaasp.epfl.ch) will be presented.
The next talk of this lecture series will be held by Matthias Palmer on
the 26/04/2011. For further information about the upcoming events, find
the schedule here:
http://www.teleurope.eu/pg/pages/view/82822/muple-lecture-series-dates-announced
Join the MUPPLE group on TELeurope:
http://www.teleurope.eu/pg/groups/681/mupple/ to discuss and share your
experiences with Personal Learning Environments.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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