MUP/PLE lecture series
This event took place on Tuesday 26 April 2011 at 15:00
Matthias Palmér Royal Institute of Technology (KTH)
This talk outlines an approach for mapping what various systems have to offer with respect to the MUPPLE perspective. The mapping is based on a wide range of features that can be supported by a system or not. Similar features are grouped into dimensions, like screen, data, social and runtime dimensions, to provide a better overview of strengths and weaknesses. The talk will present how a few representative systems compare visualised as spider diagrams.
Join the MUPPLE group on TELeurope to get updates about the lecture
series and to discuss with the lecturers:
http://www.teleurope.eu/pg/groups/681/mupple/
This event took place on Tuesday 26 April 2011 at 15:00
This talk outlines an approach for mapping what various systems have to offer with respect to the MUPPLE perspective. The mapping is based on a wide range of features that can be supported by a system or not. Similar features are grouped into dimensions, like screen, data, social and runtime dimensions, to provide a better overview of strengths and weaknesses. The talk will present how a few representative systems compare visualised as spider diagrams.
Join the MUPPLE group on TELeurope to get updates about the lecture
series and to discuss with the lecturers:
http://www.teleurope.eu/pg/groups/681/mupple/
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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