Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423220
Title: User modelling for knowledge sharing in e-mail communication
Author: Kim, Sanghee
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2002
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Abstract:
This thesis addresses the problem of sharing and transferring knowledge within knowledge-intensive organisations from a user modelling perspective with the purpose of improving individual and group performance. It explores the idea of creating organisational environments from which any of the users involved can benefit by being aware of each other such that sharing expertise between those who are knowledge providers and those who are knowledge seekers can be maximised. In order to encourage individuals to share such valuable expertise, it also explores the idea of keeping a balance between ensuring the availability of information and the increase in user workloads due to the need to handle unwanted information. In an attempt to demonstrate the ideas mentioned above, this research examines the application of user modelling techniques to the development of communication-based task learning systems based on e-mail communication. The design rationale for using e-mail is that personally held expertise is often explicated through e-mail exchanges since it provides a good source for extracting user knowledge. The provision of an automatic message categorisation system that combines knowledge acquired from both statistical and symbolic text learning techniques is one of the three themes of this work. The creation of a new user model that captures the different levels of expertise reflected in exchanged e-mail messages, and makes use of them in linking knowledge providers and knowledge seekers is the second. The design of a new information distribution method to reduce both information overload and underload is the third.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.423220  DOI: Not available
Keywords: ZA4050 Electronic information resources ; QA75 Electronic computers. Computer science
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