A knowledge broker network based on semantic information structures

[German title: Ein Wissensvermittlungsnetzwerk basierend auf semantischen Informationsstrukturen]

Title: Approaches for personalised knowledge retrieval 
Author(s): Robert Loew, Katrin Kuemmel, Judith Ruprecht, Udo Bleimann, Paul Walsh 
Journal: Internet Research 
ISSN: 1066-2243 
Year: 2007 Volume: 17 Issue: 1 Page: 49 – 60 
DOI: 10.1108/10662240710730498 
Publisher: Emerald Group Publishing Limited 

Abstract: Purpose – The purpose of this paper is to describe new search methods based on semantic information structures to offer a personalised and interactive knowledge retrieval to the user.
Design/methodology/approach – A careful look on existing “knowledge management projects” leads to a proposed approach of a “knowledge broker network” where transfer of knowledge is based on communication between humans. To enhance the quality of search results a new search algorithm (“Search Assistance Algorithm (SAA)”) is described in a simplified manner.
Findings – The paper provides information on the knowledge broker network and shows the advantages of this concept especially of the automated part.
Research limitations/implications – The paper shows the proposed approach has not formally being tested yet. Some pilot studies have been made and a study especially for the SAA is planned for the near future.
Practical implications – This approach has the potential to change the way of transfer of knowledge using a knowledge broker network based on knowledge management systems, which could be improved by our SAA in practice.
Originality/value – Using knowledge management systems in a “standard way” by feeding in information and using retrieval methods is not optimal for sharing knowledge between humans. To provide and update information is very cost-intensive. Using “meta-information” about “who is expert in which area” and bring information-seeker and experts together could be the optimal method. This knowledge broker network helps to bring this idea into reality. 

Keywords: Information retrieval, Information services, Knowledge management, Semantics 

Article Type: Research paper 

Article URL: http://www.emeraldinsight.com/10.1108/10662240710730498

© Emerald Group Publishing Limited

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