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Tech Report kmi-98-01 Abstract


Enriching Representations of Work to Support Organisational Learning
Techreport ID: kmi-98-01
Date: 1998
Author(s): Tamara Sumner, John Domingue and Zdenek Zdrahal
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The ENRICH project will develop tools and methodologies supporting organisational learning addressing three core business needs: * Supporting individuals and groups to continuously reflect on and improve work practices. * Supporting distributed groups to share 'best practices' and improve their coordination efforts. * Promoting the establishment of 'virtual centres of excellence' that serve to identify core competencies and nurture their development by bringing people together (across time and geography) with relevant expertise. The project is user-driven: three pilot projects within operational areas relevant to the industrial partners will provide the context for all implementation and evaluation activities, ensuring that the tools and methodologies delivered by the project are both useful and usable. The project's results will be exploited through the european-wide ties of all partners in the areas of aerospace, engineering, power generation, and distance education.

Publication(s):

EU ESPRIT Proposal for the thematic call "IT in Learning and Training in Industry", project duration 1998/1999.
 
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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.

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