Tech Reports
Tech Report kmi-97-02 Abstract
Representing Hard-to-Formalise, Contextualised, Multidisciplinary, Organisational Knowledge
Techreport ID: kmi-97-02
Date: 1997
Author(s): Simon Buckingham Shum
Much organisational knowledge is multidisciplinary, hard to formalise, and generated in discussions with competing viewpoints. Knowledge Management (KM) technologies need to be able to capture and share such knowledge. This short paper begins by characterising 'knowledge work' - are there salient features that we can identify? Next, an approach is described by which teams analyse and discuss problems, building graphical argument spaces as competing ideas are debated. Hypermedia groupware provides a way to embed ideas, decisions and rationale in their conversational context, and with other work artifacts such as reports, sketches and simulations. The orientation of this work emphasises the human dimensions to technologies for supporting organisational memory and expertise. The discussion seeks to situate this approach in relation to other KM approaches by proposing three questions that seek to clarify the interdependencies between economics, technologies, work practices, and the responsibilities of modelling and managing knowledge. (This is a modified, and shortened, version of a paper presented at the Workshop on Knowledge Media for Improving Organisational Expertise, 1st International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 30-31 Oct. 1996: http://kmi.open.ac.uk/kmi-abstracts/kmi-tr-30-abstract.html)
Publication(s):
To appear in: AIKM'97: AAAI Spring Symposium on Artificial Intelligence in Knowledge Management (Mar. 24-26, 1997), Stanford University, Palo Alto, CA. AAAI Press
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
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.
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