Tech Reports
Tech Report kmi-97-02 Abstract
Representing Hard-to-Formalise, Contextualised, Multidisciplinary, Organisational Knowledge
Techreport ID: kmi-97-02
Date: 1997
Author(s): Simon Buckingham Shum
Much organisational knowledge is multidisciplinary, hard to formalise, and generated in discussions with competing viewpoints. Knowledge Management (KM) technologies need to be able to capture and share such knowledge. This short paper begins by characterising 'knowledge work' - are there salient features that we can identify? Next, an approach is described by which teams analyse and discuss problems, building graphical argument spaces as competing ideas are debated. Hypermedia groupware provides a way to embed ideas, decisions and rationale in their conversational context, and with other work artifacts such as reports, sketches and simulations. The orientation of this work emphasises the human dimensions to technologies for supporting organisational memory and expertise. The discussion seeks to situate this approach in relation to other KM approaches by proposing three questions that seek to clarify the interdependencies between economics, technologies, work practices, and the responsibilities of modelling and managing knowledge. (This is a modified, and shortened, version of a paper presented at the Workshop on Knowledge Media for Improving Organisational Expertise, 1st International Conference on Practical Aspects of Knowledge Management, Basel, Switzerland, 30-31 Oct. 1996: http://kmi.open.ac.uk/kmi-abstracts/kmi-tr-30-abstract.html)
Publication(s):
To appear in: AIKM'97: AAAI Spring Symposium on Artificial Intelligence in Knowledge Management (Mar. 24-26, 1997), Stanford University, Palo Alto, CA. AAAI Press
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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