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Tech Report kmi-01-02 Abstract


JIME: An Interactive Journal for Interactive Media
Techreport ID: kmi-01-02
Date: 2001
Author(s): Simon Buckingham Shum and Tamara Sumner
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How can new media positively transform scholarly practices? In this article, we describe the Journal of Interactive Media in Education (JIME: www-jime.open.ac.uk). JIME's peer review process is designed to promote multidisciplinary dialogue through the use of a purpose-designed Web document-discussion interface. This innovative peer review model and the resulting 'enriched' digital documents illustrate some of the possibilities for promoting knowledge construction and preserving intellectual products in digital scholarly publications. We present JIME's technical infrastructure, editorial policy, and peer review process, and discuss how these features are used to support the journal's goals. Finally, we conclude by considering what aspects of our approach might be suitable for eJournals in other disciplines.

Publication(s):

Buckingham Shum, S. and Sumner, T. (2001). JIME: An Interactive Journal for Interactive Media. First Monday, 6, (2), February, 2001
 
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Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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