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About KMi
Wordle: KMi.open.ac.uk
The Knowledge Media Institute (KMi) was set up in 1995 in recognition of the need for the Open University to be at the forefront of research and development in a convergence of areas that impacted on the OU's very nature: Cognitive and Learning Sciences, Artificial Intelligence and Semantic Technologies, and Multimedia. We chose to call this convergence Knowledge Media.

Knowledge Media is about the processes of generating, understanding and sharing knowledge using several different media, as well as understanding how the use of different media shape these processes.

KMi operates with reference to a number of basic tenets, which define the context in which we formulate and pursue our research objectives:

Strategic Threads

Our research is aligned with a number of broad strategic threads, currently Future Internet, Knowledge Management, Multimedia & Information Systems, Narrative Hypermedia, New Media Systems, Semantic Web & Knowledge Services and Social Software.

Learning

In keeping with a lifelong learning perspective, our research agenda takes a broad definition of learning, embracing distance learning, learning in the classroom, and learning in the workplace.


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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