Tech Reports
Tech Report kmi-01-01 Abstract
Structuring Discourse for Collective Interpretation
Techreport ID: kmi-01-01
Date: 2001
Author(s): Simon Buckingham Shum and Albert M. Selvin
This paper reflects on three examples of a discourse-oriented approach to supporting collective interpretation. By this, we mean activities involving two or more people who are trying to make sense of an issue. The common theme linking the examples is that each mediates interpretive activity via a software environment which structures discourse: participants construct their interpretation within a representational framework which in return provides computational services. As a by-product, this persistent trace of the sensemaking process can serve as a collective memory resource for subsequent reinterpretation. Based on the three examples, we draw attention to specific challenges that discourse-structuring technologies raise, and strategies for tackling them. A generic issue emerging from this work is the design of ontologies (representational schemes) by and for communities of practice.
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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