KMi invites external speakers to present their work to the lab. We also welcome approaches from researchers who are interested to present their work. Please contact either the KMi staff member who is working in your field, or the seminars coordinator, Anna De Liddo.
Events take place at the KMi Podium (Berrill Building, 4th Floor North) unless otherwise stated.
To add/remove yourself from KMi Seminar announcements, enter your email address and select kmi-seminar-list from the list on this page. Below are past and forthcoming speakers.
Wednesday 28 November 2012
User Engagement in the Digital World
Dr. Mounia Lalmas Yahoo! Research, Barcelona
Tuesday 06 November 2012
Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
Dr. Chenghua Lin KMi, The Open University
Monday 03 September 2012
Knowledge Architecture (Free and in Flow) in a Social Network
Izabel Meister Mackenzie University, So Paulo, Brazil
Events take place at the KMi Podium (Berrill Building, 4th Floor North) unless otherwise stated.
To add/remove yourself from KMi Seminar announcements, enter your email address and select kmi-seminar-list from the list on this page. Below are past and forthcoming speakers.
Forthcoming Events
No live events currently scheduled
Recent Events
User Engagement in the Digital World
Dr. Mounia Lalmas Yahoo! Research, Barcelona
Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
Dr. Chenghua Lin KMi, The Open University
Knowledge Architecture (Free and in Flow) in a Social Network
Izabel Meister Mackenzie University, So Paulo, Brazil
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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List all Multimedia and Information Systems Technologies
