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Tech Report KMI-06-02 Abstract


Memetic: An Infrastructure for Meeting Memory
Techreport ID: KMI-06-02
Date: 2006
Author(s): Simon Buckingham Shum, Roger Slack, Michael Daw, Ben Juby, Andrew Rowley, Michelle Bachler, Clara Mancini, Danius Michaelides, Rob Procter, David De Roure, Tim Chown, Terry Hewitt
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This paper introduces the Memetic toolkit for recording the normally ephemeral interactions conducted via internet video conferencing, and making these navigable and manipulable in linear and non-linear ways. We introduce two complementary interaction visualizations: argumentation-based concept maps to elucidate the conceptual structure of the discourse using a visual language, and interactive event timelines generated from the meeting metadata. We discuss in detail the affordances of Memetics tools, in particular the Compendium hypermedia mapping tool, and the Meeting Replay tool that renders the semantic navigation indices into the videoconference replays. Additionally, with respect to methodology and evaluation, we describe how we are engaging diverse end-user communities in the process of designing and deploying these tools.

Publication(s):

Buckingham Shum, S., Slack, R., Daw, M., Juby, B., Rowley, A., Bachler, M., Mancini, C., Michaelides, D., Procter, R., De Roure, D., Chown, T., and Hewitt, T. (2006). Memetic: An Infrastructure for Meeting Memory. Proc. 7th International Conference on the Design of Cooperative Systems, Carry-le-Rouet, France, 9-12 May
 
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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.