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Approaches to Locating Expertise using Corporate Knowledge

Approaches to Locating Expertise using Corporate Knowledge
Approaches to Locating Expertise using Corporate Knowledge
In many organisations people need to locate colleagues with knowledge and information to resolve a problem. Computer based systems that assist users with finding such expertise are increasingly important to industrial organisations. In this paper we discuss the development of Expertise Finders suitable for use within the engineering design environment as illustrated through the use of a scenario. A key feature of this work is that the Expertise Finder returns both recommended contacts and supporting documentation. The Expertise Finder bases its results on information held within the organisation, for example on-line publications repositories, human resource records and not on individually compiled Curriculum Vitaes or other forms of user maintained records. The recommendations are presented to the user with due regard to the social context, and are supported by the documents used to make the recommendation.
1055-615X
185-200
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Hughes, Gareth
281f0201-fc7e-40f3-8c11-5fb3b2cfccca
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Hughes, Gareth
281f0201-fc7e-40f3-8c11-5fb3b2cfccca
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c

Crowder, Richard, Hughes, Gareth and Hall, Wendy (2003) Approaches to Locating Expertise using Corporate Knowledge. Intelligent Systems in Accounting, Finance and Management, 11, 185-200.

Record type: Article

Abstract

In many organisations people need to locate colleagues with knowledge and information to resolve a problem. Computer based systems that assist users with finding such expertise are increasingly important to industrial organisations. In this paper we discuss the development of Expertise Finders suitable for use within the engineering design environment as illustrated through the use of a scenario. A key feature of this work is that the Expertise Finder returns both recommended contacts and supporting documentation. The Expertise Finder bases its results on information held within the organisation, for example on-line publications repositories, human resource records and not on individually compiled Curriculum Vitaes or other forms of user maintained records. The recommendations are presented to the user with due regard to the social context, and are supported by the documents used to make the recommendation.

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Published date: 2003
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 258347
URI: https://eprints.soton.ac.uk/id/eprint/258347
ISSN: 1055-615X
PURE UUID: 3c66c9dc-ed15-4957-97c5-9256d586592a
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 16 Mar 2004
Last modified: 06 Jun 2018 13:19

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Contributors

Author: Richard Crowder
Author: Gareth Hughes
Author: Wendy Hall ORCID iD

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