Tech Reports
Tech Report KMI-06-16 Abstract
Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective
Techreport ID: KMI-06-16
Date: 2006
Author(s): Simon Buckingham Shum
Abstract: The complexity of the dilemmas we face on an organizational, societal and global scale forces us into sensemaking activity. We need tools for expressing and contesting perspectives flexible enough for real time use in meetings, structured enough to help manage longer term memory, and powerful enough to filter the complexity of extended deliberation and debate on an organizational or global scale. This has been the motivation for a programme of basic and applied action research into Hypermedia Discourse, which draws on research in hypertext, information visualization, argumentation, modelling, and meeting facilitation. This paper proposes that this strand of work shares a key principle behind the Pragmatic Web concept, namely, the need to take seriously diverse perspectives and the processes of meaning negotiation. Moreover, it is argued that the hypermedia discourse tools described instantiate this principle in practical tools which permit end-user control over modelling approaches in the absence of consensus.
Publication(s):
Buckingham Shum, S. (2006). Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective. Proc. PragWeb'06: 1st International Conference on the Pragmatic Web, Stuttgart, 21-23 Sept. Springer-Verlag: Berlin. [PrePrint: http://kmi.open.ac.uk/publications/pdf/KMI-TR-06-16.pdf
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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