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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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Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.