Tech Reports
Tech Report kmi-00-08 Abstract
Rapid Knowledge Construction: A Case Study in Corporate Contingency Planning Using Collaborative Hypermedia
Techreport ID: kmi-00-08
Date: 2000
Author(s): Albert M. Selvin and Simon J. Buckingham Shum
Many knowledge management (KM) efforts revolve around managing documents in a repository or enabling better real-time communication. An ideal approach would combine these with the ability to create knowledge content that can be either formal or informal in nature, in a rapid, real-time manner. We will call this Rapid Knowledge Construction (RKC). This paper describes the concepts underpinning our approach to RKC, and provides a case study of the approach in an industry context. The Compendium approach, which has been applied in projects in both industry and academic settings, facilitates the rapid creation of the content of a KM repository, by combining collaborative hypermedia, group facilitation techniques, and an analytical methodology rooted in knowledge acquisition and structured analysis. Compendium addresses key challenges for the successful introduction of KM technologies into work practice: (i) customization for different use contexts; (ii) integration of formal and informal communication; (iii) integration of both prescribed and ad hoc representations; (iv) validation and cross-referencing of the repository 'on the fly' at the point of entry; (v) conversion of organizational documents / emails into a hypertext database, and (vi) conversion of hypertext databases into organizational document formats.
Publication(s):
Selvin, A. M. and Buckingham Shum, S. J. (2002). Rapid Knowledge Construction: A Case Study in Corporate Contingency Planning Using Collaborative Hypermedia. Knowledge and Process Management, Vol. 9, Issue 2, pp. 119-128. < http://www3.interscience.wiley.com/cgi-bin/abstract/93514037/START >
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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