KMi Seminars
MUP/PLE lecture series
This event took place on Tuesday 17 May 2011 at 14:00

 
Fridolin Wild KMi, The Open University

Within this talk, a new (small) theory of learning with technology will be presented, which is grounded in methodical culturalism and activity theory. The theory boils down to grounding the development of rich professional competence in sharing language through social interaction, mediated by tools.

One model of putting this into practice is in using natural language processing tools to capture conceptual knowledge from learners’ communicative exchange, complemented by a represention of their practices of e.g. web interaction with a human-language-like mash-up scripting language.

Using a potent combination of latent semantic analysis and social network analysis, the learning of individuals and groups can then be dismantled and subjected to (computational) inspection.

A set of application examples rounds up the talk.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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.

Visit the MMIS website