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Tech Report kmi-98-03 Abstract


Managing Persistent Discourse: Organizational Goals and Digital Texts
Techreport ID: kmi-98-03
Date: 1998
Author(s): Tamara Sumner, Simeon Yates, Simon Buckingham Shum and Jane Perrone
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Prior to digital communications media, texts were primarily judged using hidden but assumed institutional practices (e.g., journal peer review processes, editorial mediation). Increasingly, digital communications media can make these previously invisible discursive practices visible in a persistent medium. Doing so transforms these discourses into texts where they are subject to: (1) a reader's interpretation and judgment and (2) explicit manipulation by writers or publishers seeking to influence this interpretative process. In this article, we focus on managed persistent discourse where explicit practices and roles are adopted within an institution to actively manipulate and transform digitally-preserved discourse, with the aim of influencing readers' interpretative processes in ways that reflect organizational goals. We examine in detail two cases political manifestos in the UK and an interactive journal with on-line peer review to illustrate these new roles and practices, and the different organizational goals the managed discourse is used to support.
 
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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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