IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Ontology-Based Knowledge Management for Enterprise Systems

Ontology-Based Knowledge Management for Enterprise Systems
View Sample PDF
Author(s): Mohammad Nazir Ahmad (Universiti Teknologi Malaysia, Malaysia), Nor Hidayati Zakaria (Universiti Teknologi Malaysia, Malaysia)and Darshana Sedera (Queensland University of Technology, Australia)
Copyright: 2013
Pages: 29
Source title: Competition, Strategy, and Modern Enterprise Information Systems
Source Author(s)/Editor(s): Madjid Tavana (La Salle University, USA)
DOI: 10.4018/978-1-4666-2464-1.ch010

Purchase

View Ontology-Based Knowledge Management for Enterprise Systems on the publisher's website for pricing and purchasing information.

Abstract

Companies face the challenges of expanding their markets, improving products, services and processes, and exploiting intellectual capital in a dynamic network. Therefore, more companies are turning to an Enterprise System (ES). Knowledge management (KM) has also received considerable attention and is continuously gaining the interest of industry, enterprises, and academia. For ES, KM can provide support across the entire lifecycle, from selection and implementation to use. In addition, it is also recognised that an ontology is an appropriate methodology to accomplish a common consensus of communication, as well as to support a diversity of KM activities, such as knowledge repository, retrieval, sharing, and dissemination. This paper examines the role of ontology-based KM for ES (OKES) and investigates the possible integration of ontology-based KM and ES. The authors develop a taxonomy as a framework for understanding OKES research. In order to achieve the objective of this study, a systematic review of existing research was conducted. Based on a theoretical framework of the ES lifecycle, KM, KM for ES, ontology, and ontology-based KM, guided by the framework of study, a taxonomy for OKES is established.

Related Content

Margee Hume, Paul Johnston. © 2017. 19 pages.
Jessy Nair, D. Bhanu Sree Reddy. © 2017. 27 pages.
Joseph R. Muscatello, Diane H. Parente, Matthew Swinarski. © 2017. 19 pages.
Klaus Wölfel. © 2017. 33 pages.
Rui Pedro Marques. © 2017. 21 pages.
Ebru E. Saygili, Arikan Tarik Saygili. © 2017. 17 pages.
Aparna Raman, D. P. Goyal. © 2017. 41 pages.
Body Bottom