Tech Reports
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
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
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

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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