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Tech Report kmi-99-09 Abstract


Oracles, Bards, and Village Gossips, or, Social Roles and Meta Knowledge Management
Techreport ID: kmi-99-09
Date: 1999
Author(s): Simon Masterton and Stuart Watt
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Knowledge management systems are used widely in many different organisations, yet there are few models and theories which can be used to help introduce and apply them successfully. In this paper, we analyse some of the more common problems for knowledge management systems. Using this background, we adapt models and theories from social and organisational psychology and computer supported collaborative work, and discuss a variety of different knowledge management systems in these contexts. We argue that knowledge management systems routinely adopt different social roles within an organisation, and that these social roles can have a major influence on a system's acceptability. With these principles in mind, we draw out some general practical lessons, and a 'character space' framework, which can help to inform the design of future knowledge management systems, so as to minimise the problems of acceptability within a given organisation.
 
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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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