Mohd Syazwan Abdullah

Learn More
Knowledge management is fast becoming a commercial necessity for many organizations, in order that they manage their intellectual assets and gain competitive advantage. To maximise that advantage, knowledge management needs to be available across the whole of the enterprise. Before a knowledge management system can be built, the knowledge that pervades the(More)
Knowledge representations of Al-Quran involved the classification of contents for understanding the readers. In information technology environment, the representation and classification approaches must be understood by human and computer in order to ensure the correct semantics of Al-Quran knowledge. Current approaches used conventional methods such as(More)
Knowledge modelling techniques are widely adopted for designing knowledge-based systems (KBS) and these systems are important for knowledge management. This paper argues the need and importance of adopting Unified Modeling Language (UML) for knowledge modelling through the profile extension mechanism. KBS are developed using knowledge engineering (KE)(More)
The implementation of e-government initiatives has become one of the main goals of many countries around the words. However, egovernment implementation is not straightforward. Projects encounter different problems, be it in developed or developing countries. Many studies have focused on failed e-government implementation, while some focus on the factors(More)
s International, vol. 64, p. 3169B, 2003. [21] K. Dansky, L. Gamm, J. Vasey, and C. Barsukiewicz,<lb>"Electronic medical records: are physicians ready?,"<lb>Journal of Healthcare Management, vol. 44, pp. 440-<lb>455, 1999.<lb>[22] Satinsky, "Electronic Medical Records. Satinsky Consulting, LLC," 2004.<lb>[23] E. Poon, D. Blumenthal, T. Jaggi, M. Honour, D.(More)
Knowledge engineers have favoured a diagrammatic approach for developing knowledge-based systems by adopting those used in software engineering. However, these modelling techniques tend to be used in an ad hoc way and are highly dependent on the modelling experience of the engineers involved. This paper focuses on the use of the Unified Modeling Language(More)
The data warehouse (DW) systems design involves several tasks such as defining the DW schemas and the ETL processes specifications, and these have been extensively studied and practiced for many years. However, the problems in heterogeneous data integration are still far from being resolved due to the complexity of ETL processes and the fundamental problems(More)
Extraction, Transformation and Loading (ETL) are major functionalities in data warehousing solutions. Lack of component distribution and interoperability are considered as main problems in the ETL because these ETL components are tightly-coupled in the current ETL framework. This paper discusses how to distribute the Extraction, Transformation and Loading(More)
Purpose – The goal of this paper is to re-evaluate the role of knowledge-based systems (KBS) in knowledge management (KM). While knowledge-based systems and expert systems were widely used in the past, they have now fallen from favor and are largely ignored in the knowledge management literature. This paper aims to argue that several factors have changed(More)