Expert Finding by Capturing Organisational Knowledge from Legacy Documents


Sim, Y W, Crowder, R M and Wills, G B (2006) Expert Finding by Capturing Organisational Knowledge from Legacy Documents. In, IEEE International Conference on Computer & Communication Engineering (ICCCE '06), Kuala Lumpur, Malaysia, 09 - 11 May 2006.

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Description/Abstract

Organisations capitalise on their best knowledge through the improvement of shared expertise which leads to a higher level of productivity and competency. The recognition of the need to foster the sharing of expertise has led to the development of expert finder systems that hold pointers to experts who posses specific knowledge in organisations. This paper discusses an approach to locating an expert through the application of information retrieval and analysis processes to an organization’s existing information resources, with specific reference to the engineering design domain. The approach taken was realised through an expert finder system framework. It enables the relationships of heterogeneous information sources with experts to be factored in modelling individuals’ expertise. These valuable relationships are typically ignored by existing expert finder systems, which only focus on how documents relate to their content. The developed framework also provides an architecture that can be easily adapted to different organisational environments. In addition, it also allows users to access the expertise recognition logic, giving them greater trust in the systems implemented using this framework. The framework were applied to real world application and evaluated within a major engineering company.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 9-11 May 2006
Keywords: Expert finder system, knowledge management, capturing knowledge
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Electronic & Software Systems
Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
Item ID: 262509
Date Deposited: 05 May 2006
Last Modified: 01 Mar 2012 23:00
Contributors: Sim, Y W (Author)
Crowder, R M (Author)
Wills, G B (Author)
Date: 2006
Additional Information: Event Dates: 9-11 May 2006
Status: Published
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/262509

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