Tech Reports
Tech Report kmi-96-13 Abstract
KMi Stadium: Web-based Audio/Visual Interaction as Reusable Organisational Expertise
Techreport ID: kmi-96-13
Date: 1996
Author(s): Marc Eisenstadt, Simon Buckingham Shum and Adam Freeman
KMi Stadium is a Java-implemented medium for hosting distributed events on a very large scale on the Internet (or an Intranet), allowing thousands of simultaneous participants even over 28.8Kbps dial-up modems. Stadium makes available as a reusable resource audio, coordinated visuals, and secondary resources such as relevant documents, demonstrations and Web sites. Client-based desktop computers and set-top boxes with appropriate browsers can download custom applets which enable the client machines to participate in presentations and other events mediated by a linked-server network. Most of the available bandwidth is dedicated to audio delivery and custom sound effects to help capture the mood of live events. After describing the design philosophy and implementation of Stadium, we consider its niche in the design space of organisational knowledge systems. With very low capture overheads, it enables organisations to make better use of the invaluable resource that can be found in expert speakers' presentations, and makes it easier for any staff member or team to share their expertise in a small, medium or large setting. We briefly consider its possible impact on working practices, both with respect to staff as knowledge consumers, and as knowledge creators.
Publication(s):
Workshop on Knowledge Media for Improving Organisational Expertise, 1st International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 30-31 October 1996.
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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