Tech Reports
Tech Report kmi-97-01 Abstract
Balancing Formality with Informality: User-Centred Requirements for Knowledge Management Technologies
Techreport ID: kmi-97-01
Date: 1997
Author(s): Simon Buckingham Shum
Numerous disciplines are now trying to analyse and represent the processes and products of organisational memory, in order to clarify what tangible representations future knowledge managers will work with. This short paper begins by reflecting briefly on the nature of systematic representations, as a reminder of the commitments that are made in any classification process. It is argued that there are important political dimensions to such classification, with implications for knowledge modelling. The paper then identifies three processes by which organisational expertise is shared. These processes may represent both a challenge and an opportunity for knowledge modelling approaches. The closing discussion pinpoints formalisation as a particularly important process in knowledge management, considers technologies that support incremental formalisation as holding particular promise, and proposes the principle that only stable, sanctioned knowledge should be formalised, in order to avoid the many problems caused by premature formalisation of organisational knowledge.
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
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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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