MUP/PLE lecture series
This event took place on Wednesday 13 July 2011 at 14:00
Erik Duval Katholieke Universiteit Leuven
Now that we are finally realizing a global infrastructure for sharing of learning resources, we need new ways to deal with the resulting abundance. To this effect, we apply the Snowflake Effect, a label we use for a widespread trend towards personalization, at a both deeper and wider level than ever before. Deeper, because personalization is no longer based on stereotypes that group us in clusters of people with the same taste, or learning style, or demographics: rather, technology now makes it possible to treat each of us as the unique individual that we are, with our personal characteristics, requirements, constraints and contexts. Wider, because it is possible to realize it in more contexts more often for a wider audience than ever.
This event took place on Wednesday 13 July 2011 at 14:00
Now that we are finally realizing a global infrastructure for sharing of learning resources, we need new ways to deal with the resulting abundance. To this effect, we apply the Snowflake Effect, a label we use for a widespread trend towards personalization, at a both deeper and wider level than ever before. Deeper, because personalization is no longer based on stereotypes that group us in clusters of people with the same taste, or learning style, or demographics: rather, technology now makes it possible to treat each of us as the unique individual that we are, with our personal characteristics, requirements, constraints and contexts. Wider, because it is possible to realize it in more contexts more often for a wider audience than ever.
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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