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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
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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.
 
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Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.