Wikis of Locality
This event took place on Wednesday 16 August 2006 at 11:30
Mark Gaved
In this seminar we describe an emerging form of wikis - wikis of locality – that support physical rather than virtual communities. We draw on our experience as administrators of the Open Guide to Milton Keynes, one of the Open Guides family of community developed local information guides built using wiki software, and present observations of the potential value and unique characteristics of wikis of locality from a practitioner’s perspective. Preliminary findings from a current survey of other Open Guide administrators are presented to highlight types of usage, issues and potential areas for future research.
This event took place on Wednesday 16 August 2006 at 11:30
In this seminar we describe an emerging form of wikis - wikis of locality – that support physical rather than virtual communities. We draw on our experience as administrators of the Open Guide to Milton Keynes, one of the Open Guides family of community developed local information guides built using wiki software, and present observations of the potential value and unique characteristics of wikis of locality from a practitioner’s perspective. Preliminary findings from a current survey of other Open Guide administrators are presented to highlight types of usage, issues and potential areas for future research.
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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