Tech Reports
Tech Report kmi-96-15 Abstract
Digital Genres and the New Burden of Fixity
Techreport ID: kmi-96-15
Date: 1996
Author(s): Simeon Yates and Tamara Sumner
Stability in the production and transmission of texts has been a taken-for-granted feature of communicative acts for much of history. In the past, this fixity (i.e., the reliability of texts not to change over space and time) has arisen from the interaction between immutable technologies (used to produce text) and social rigidity (in the structure and practices of discourse communities where texts are produced and consumed). These interactions provided stable settings fostering the gradual development of rich communicative genres which, in turn, further contributed to fixity in communicative acts. In the current era of virtual communities and digital documents, this relationship between technology, social context, and fixity has been loosened. We claim the new burden for providing fixity in communications is being met by increased reliance on genre. To support this claim, we examine the four-way relationship between technologies, social contexts, social practices and genre by considering example digital documents produced by two different discourse communities.
Publication(s):
To appear in: Hawaii International Conference on System Sciences, Special Track on Genres in Digital Documents, January 1997.
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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