Tech Reports
Tech Report kmi-96-04 Abstract
On the Future of Journals: Digital Publishing and Argumentation
Techreport ID: kmi-96-04
Date: 1996
Author(s): Simon Buckingham Shum, Tamara Sumner and Diana Laurillard
The emergence of the internet and the World Wide Web (WWW) have profound implications for the dissemination of scholarly work, particularly in the area of submission, review, and publication of journals. However to date, much of the impact of these new technologies has been on digitising the products of journal publication; the scholarly processes involved in reviewing journal publications remain unchanged and unsupported. We are using computer-supported collaborative argumentation (CSCA) tools to rethink and redesign the process of scholarly debate at the heart of journal reviewing. This paper describes the design principles behind our Csca approach, how they are currently being realised in the context of a specific new journal publication, and discusses some of the issues that this approach raises.
Publication(s):
To be presented at HCI'96, Annual HCI Conference of the British Computer Society, London, 20-23 August, 1996.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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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