Title: Discovering explicit knowledge using text mining techniques for peacekeeping documents

Authors: Puteri N.E. Nohuddin; Zuraini Zainol

Addresses: Institute of Visual Informatics, National University of Malaysia, Bangi, Malaysia ' Department of Computer Science, Faculty of Science and Defence Technology, National Defense University of Malaysia, Sungai Besi Camp 57000, Kuala Lumpur, Malaysia

Abstract: Documents are created and converted into digital to ease users in many organisations. Sharing documents among the employees throughout the companies' computer creates a conducive environment for knowledge sharing. In knowledge management domain, contents in documents are considered as explicit knowledge that can guide employees to elevate their work production. Thus, sharing the knowledge is a competitive advantage in an organisation to develop knowledge workers. However, accumulative documents over time can be difficult to trace and reuse without a proper management system. This paper describes document analysis technique in learning knowledge contained in a set of peacekeeping training manuals. The authors adopted a text mining technique to analyse and identify the theme or subject matter of a collection training manuals. The paper also describes a demonstration using a text mining tool and describes knowledge discovery of document analysis using a visualisation technique.

Keywords: knowledge discovery; knowledge management; explicit knowledge; data and text mining; peacekeeping.

DOI: 10.1504/IJBIS.2020.110171

International Journal of Business Information Systems, 2020 Vol.35 No.2, pp.152 - 166

Received: 30 Apr 2018
Accepted: 28 Jul 2018

Published online: 08 Oct 2020 *

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