Tech Reports
Tech Report kmi-97-20 Abstract
Publishing, Interpreting and Negotiating Scholarly Hypertexts: Evolution of an Approach and Toolkit
Techreport ID: kmi-97-20
Date: 1997
Author(s): Simon Buckingham Shum and Tamara Sumner
This paper describes the evolution of our approach to scholarly hypertext publishing, which is developing a social model of document usage that places particular emphasis on supporting the interpretation and negotiation of documents. The first part of the paper describes principles derived from hypertext research that underpin a toolkit called D3E which we use to publish an electronic journal. This provides a Web environment that tightly integrates publications with review discussion. In part two, we argue that forming and contesting perspectives are key processes that should be assisted by scholarly hypertexts. In the context of our e-journal, we analyse the representational requirements for hypertext support, and explore the expressive power of a semiformal document encoding scheme that expresses a publication's conceptual relationship to other documents. We conclude by discussing socio-technical issues that this work raises.
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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