
SMFD Syed MustaphaTaif University · Department of Computer Science
SMFD Syed Mustapha
PhD (University of Wales), UK
About
81
Publications
28,522
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
380
Citations
Introduction
Social Information Systems for Community Learning : The objective of the research is to build a computer system for community learning. The application areas that could benefit for such research would be educational technology and knowledge management system. The system which is built for this purpose is called Social Information System. Social Information System (SIS) deploys several techniques in information retrieval, artificial intelligence, web technologies, intelligent agents and ontology
Additional affiliations
August 2015 - present
January 2010 - August 2014
January 2007 - December 2009
Publications
Publications (81)
Purpose
The purpose of the research was to explore the critical success factors (CSFs) that enable knowledge-sharing behaviors (KSB) among students and to determine if there are differences in the CSFs that enable KSB among undergraduate, graduate or professional course students.
Design/methodology/approach
The study is based on primary data colle...
Clustering is an effective statistical data analysis technique; it has several applications, including data mining, pattern recognition, image analysis, bioinformatics, and machine learning. Clustering helps to partition data into groups of objects with distinct characteristics. Most of the methods for clustering use manually selected parameters to...
Numerous ICT instruments, such as communication tools, social media platforms, and collaborative software, bolster and facilitate knowledge sharing activities. Determining the vital success factors for knowledge sharing within its unique context is argued to be essential before implementing it. Therefore, it is imperative to define domain-specific...
The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of students, thereby facilitating educators to intervene and furnish suitable assistance when required. Th...
The UAE has officially launched the Big Data initiative in the year 2022; however, the interest in and adoption of Big Data technologies and strategies had started much earlier in the private and public sectors. This research aims to explore the perceptions of the UAE employees on factors needed to implement sustainable Big Data and the continuous...
An activity theory method is used to analyse the knowledge-sharing practices. The activity theory emphasises the necessity of analysing the SME organisation as a whole. In the context of knowledge-sharing practices, activity theory is used to collect interconnected parts of SME practices. A cross-sectional design was used to study the relationship...
Density-based spatial clustering of applications with noise (DBSCAN) is a powerful unsupervised clustering method for its ability to manage noises and arbitrary cluster shapes without the need to pre-determine the total clusters. However, the performance of DBSCAN is dependable to right choice of its two initial parameters – MinPts and Eps . Much r...
Purpose
The purpose of this paper is to emphasize the needs to understand the barrier and determinant factors in knowledge sharing (KS), to find the common ones and subsequently to build a general framework that can be referred to in designing a KS tool that addresses the common factors.
Design/methodology/approach
The approach comprises of two ma...
Fault tolerance in cloud computing is considered as one of the most vital issues to deliver reliable services. Checkpoint/restart is one of the methods used to enhance the reliability of the cloud services. However, many existing methods do not focus on virtual machine (VM) failure that occurs due to the higher response time of a node, byzantine fa...
In cloud computing, the virtualization technique is a significant technology to optimize the power consumption of the cloud data center. In this generation, most of the services are moving to the cloud resulting in increased load on data centers. As a result, the size of the data center grows and hence there is more energy consumption. To resolve t...
High dimensional data are difficult to view in two-dimensional plot. However , having a mechanism to reduce to a selected number of salient features that can well present the data is essential. We attempted to reduce N dimensional data to two-dimensional data using the combination of Information Gain (IG) and Principal Component Analysis (PCA) and...
: It is known in the literature that ontology had been used extensively in machine learning for performance enhancement for text retrieval. It is also shown that robust ontology with detailed description of the domain knowledge will contribute to the accuracy in the retrieval. Nevertheless, we argue in some domain such as news text retrieval, build...
Ttraditionally, case-based reasoning (CBR) has been used as advanced technique for representing expert knowledge and reasoning. However, for stochastic business data such as customers' behavior and users' preferences, the knowledge cannot be extracted directly from data to build the cases in reasoning in making prediction. Artificial Neural Network...
News network is an initiative to allow the content of several news to be associated by the contextual information such as event, people and location. This information may use common and proper noun to describe the similar context of an object, such as "Washington D.C" and "the capital city" or "former president" and "Barrack Obama". These words co-...
This paper describes a survey on the students’ knowledge sharing values in Salalah, Sultanate of Oman. The knowledge sharing pyramid model conjectures the three levels in the order of communication, learning and convergence. As explained in the previous publications, communication lies at the bottom crux of knowledge sharing. The communication does...
There have been diversified approaches in developing knowledge management technology as a solution to promote knowledge dissemination, knowledge creation and knowledge sharing in an organization or community. These approaches have strengths and weaknesses of their own with respect to technological advances, user's reception, adaptability and succes...
Formal structure in an organization describes the information about the organizational hierarchies, responsibilities, functions and workflows which are stated explicit in printed form such as reports and manuals. The information is important for formality purposes and professional activities in getting the right job done by the right people. Inform...
It can be acknowledged that the notion about the importance of Knowledge Management (KM) has been widely accepted and many researchers have devoted into making it a successful story. Even though it is a broad and multidisciplinary subject in nature, researchers have been working on a well-focused area of the entire scope in KM. Many of the research...
Healthcare organizations strive to make the best use of their organizational knowledge. The collective know-hows of the medical workers directly affect the quality of the delivered healthcare services. This study addresses the healthcare knowledge-sharing among a community of specialized physicians. An extensive study of the literature on knowledge...
In the late 50’s or early 60’s, there were huge interests towards building learning systems for individual learning and they are called with various names such as Intelligent Tutoring System, Microworld, Computer Based Training, Computer Aided System, Intelligent Computer Aided Instruction and others. They are made to be different with regard to th...
In order to achieve the converged service composition in next generation network environment, it is necessary to have an approach that is capable to manage the difficulties of potential complexities due to service unavailability and network failures. In response to these challenges, we propose a converged service composition (CSC) framework having...
Knowledge is an intellectual property that is generated and circulated among members in the knowledge-based organization for the ultimate purpose of achieving sustainability and growth of businesses. Both academia and businesses have paid remarkable attention to the multifaceted field of organizational knowledge, such efforts have been, and are sti...
Case-based Reasoning (CBR) has been extensively used as its capability to reuse previous solvable problems in recommending new solution through its adaptation strategy. In our work, CBR is chosen as the strategy to identify the leader of specific domain within the online community based on the profile that was developed through one's social partici...
There are various innovation models that were discussed in the literature and the adoption is based on the organizational needs for their business contexts, vision and applications. These innovation models require effective innovation process framework to be followed. SECI Model has been chosen as knowledge creation model to facilitate innovation t...
Corporate knowledge is essential mainly to knowledge-intensive organizations. Its success is always associated with the performance of the organization through ROI (Return of Investment). While the scope of corporate knowledge is wide, we redefine in the context of computational environment and demonstrate how corporate knowledge can be modelled an...
Agricultural economic development and survival depend on the ability of the people to learn about their environment. Understanding an environment is influenced by learning which focuses on the capacity to sense dissonance in the interaction between the people, the environment and to devise appropriate response for alleviation. Proper response bring...
SECI Model has been predominantly used by researchers as a framework for analyz-ing knowledge creation and knowledge sharing. It generalizes the application of the framework such that it is useable for various industries and disciplines such as in ed-ucation, manufacturing, software development, finance, business and others. Its pop-ularity has gai...
Effective communication stands at the nexus of the whole process in knowledge sharing. There are barriers in communication that require a system that can tackle holistically the identifiable issues [1]. Communication does not only involve sharing common languages but also the artifacts being used as the media in the knowledge transfer, common commu...
The paper discusses previous models constructed for managing knowledge in the context of healthcare organizations. These previous studies are focused on suggesting implementations for the knowledge management’s initiatives that are aimed at optimizing the healthcare services. Three models had been thoroughly reviewed and attention has been addresse...
Over the past several years, we have seen many articles, research and survey findings highlighting the failures in Knowledge Management (KM) implementation in general and KM Systems (KMS) in particular. Clearly, there is a need to examine the state of KM from a broader perspective to determine the viability of prevailing KM frameworks and if the ne...
The paper discusses previous models constructed for managing knowledge in the context of healthcare organizations. These previous studies are focused on suggesting implementations for the knowledge management’s initiatives that are aimed at optimizing the healthcare services. Three models had been thoroughly reviewed and attention has been addresse...
Over the past several years, we have seen many articles, research and survey findings highlighting the failures in Knowledge Management (KM) implementation in general and KM Systems (KMS) in particular. Clearly, there is a need to examine the state of KM from a broader perspective to determine the viability of prevailing KM frameworks and if the ne...
In the past decade, the ontology development community has witnessed several platforms and tools for ontology building. All these tools facilitate ontology development processes and direction for the subsequent usage. However, research has shown that current ontology editors do not effectively capture agricultural processes. Existing ontology edito...
This is a study to establish the essence of the development of Plant Knowledge Management (PKM) for crop plantation, using Nigeria Cassava as a case study. Cassava Plantation process is cumbersome and complex; it requires a thorough documentation of the process for effective knowledge management. The multiplication rate of planting materials for ca...
In order to achieve the converged service composition in Next Generation Network environment, it is necessary to have an approach that is capable to manage the difficulties of potential complexities due to service unavailability and network failures. In response to these challenges, we propose a converged service composition (CSC) framework having...
The relationship between Information and Communications Technology (ICT) supported system and economic development of a developing country has been documented by several studies [1], [2], [3]. Studies indicated that ICT can significantly and positively impact development and economic landscape of Nigeria if deployed. For many years, Nigerian govern...
As communication networks have evolved towards IP (Internet Protocol) networks, telecommunication operators has expanded its reach to internet multimedia web content services while operating circuit-switch networks in parallel. With the adoption of SOA (Service Oriented Architecture) that enables service capability interfaces to be published and in...
Next Generation Network (NGN) services have been
the focus to the researchers and practitioners as the new
converging paradigm of IP-based telecommunication and
Information and Communication Technologies (ICT) services.
Even though, fundamentally NGN services have some common to
web services mainly on the service composition, service discovery,
ser...
Knowledge management is an interdisciplinary research area and it has been perceived in different perspectives by researchers and practitioners who come from various backgrounds. Nevertheless, the ultimate goal in knowledge management is to create a learning organization in a knowledge sharing environment. In a knowledge sharing environment, the le...
Next Generation Network has drawn great attention by the researchers and telecommunication industries as the future generation in the communication technologies and services. The interest covers all aspects on NGN from the global standards, architecture and services. The management of services provided in the NGN environment has posed great challen...
The Web technologies and Web applications have shown similar high growth rate in terms of daily usages and user acceptance.
The Web applications have not only penetrated in the traditional domains such as education and business but have also encroached
into areas such as politics, social, lifestyle, and culture. The emergence of Web technologies ha...
Automatic Event Detection is a somewhat recent area
of information retrieval research. The event detection
is about spotting same news, articles that talking
about similar incident and then arranges them under
the same group or event. We used event clustering
technique to perform Automatic Event Detection. In
our experiments on Reuters corpus, we f...
Automatic Event Detection is a somewhat recent area
of information retrieval research. The event detection
is about spotting same news, articles that talking
about similar incident and then arranges them under
the same group or event. We used event clustering
technique to perform Automatic Event Detection. In
our experiments on Reuters corpus, we f...
One of the main activities in the knowledge sharing is
to search and retrieve textual document. Traditional
searching methods use user-specified keywords to
search for documents. The common problem with this
method is that the retrieved documents are not the
ones that they are actually looking for even the
searching is based on user-defined keyword...
Abstract Knowledge is significant part of the assets of any organisation. The utilization and continuous creation of knowledge are the most important managerial challenges organisations face today. While the technology for collecting, storing, and accessing information continues to grow exponentially, the ability to effectively and efficiently use...
The formulation of constitutive equation (model) is essential i n o rder to simulate or predict t he behavior of viscoelastic material i n many c omplicated industrial fl ow processes. The generation o f such model i s tedious and time-consuming op eration. The techniques of artificial intelligence (AI) have proven to b e amenable to solving rheolo...
Link based ranking algorithms have been adopted by most search engines in ranking the importance of web pages. As a majority of web accesses are through the use of search engines, web spammers have taken advantage of the vulnerability of link based ranking algorithms by creating many artificial references or links in order to acquire higher-than-de...
Web service selection has recently emerged as one of the potential research area in the web service composition. Selection of web service has become a challenge when the composition of the web service is to be done automatically. The capability of the multiple-aspects of similarity function is the advance feature to the web service selection capabi...
Web service selection has been a challenging task for automated workflow composition. This is mainly due to the heterogeneity of the Web service structure, non-standardization of registry format and complexity in capturing the semantic part of the Web service functionalities. Relation-based case retrieval (RCR) establishes the relationship between...
Qualitative Reasoning (QR), albeit no longer a new research field in Artificial Intelligence (AI), its exploration in chemistry domain remains widely open. The application of Qualitative Process Theory (QPT) in organic reaction mechanisms is another new attempt of QR in chemistry. As far as learning reaction mechanisms is concerned, the ability to...
Adapting present Web services to the mobile environment has raised new Quality of Service (QoS) challenges for both service provider and requester. In a mobile Web services (MWS) scenario, a successful service invocation will depend on (1) service application (2) condition of mobile network and (3) capabilities of mob ile device. Hence, from a clie...
The task of composing Web services workflow can be unwieldy for a huge size Web services network. The challenge is even intensified when dealing with continuous changes of the business practices, processes and transactions. The dynamic business environment compels the Web service providers to do high maintenance for the directory update to ensure v...
In building an intelligent tutoring system, researchers quest for robust techniques and suitable approaches so that intelligent and interactive communications between learners and the system can be seamlessly established. The aspects of communication encompass the four properties of articulate software defined by Forbus (2001) which are fluent, sup...
Recent advances in information retrieval, data storage, knowledge capture, ontology modelling and semantic web have been significant to internet applications. The web-based community is an internet application with a growing interest to research in various disciplines. With the technology it has, the community boundary is boundless and mutual parti...
Intelligent conversational channel (ICC) is a community channel developed to facilitate knowledge sharing activities by utilizing multiple agents to create virtual community. The concept of social knowledge is emphasized as the major source of knowledge to be shared among communities. The social knowledge is extracted not only from the community ta...
One of the research interests in educational technology has been in the automating the text assessment of the students' answer. The main reason for such interest is due to an overwhelming of marking scripts need to be graded within a time limit. Among many forms of answering format, an essay-type answer is the most difficult format for an automated...
Recent studies have shown two approaches in building learning system. Each corresponds to the two types of knowledge which
are the content knowledge and social knowledge. The former is knowledge about knowing how to perform a task while the latter
is more about best practices. Intelligent Conversational Channel (ICC) is built to support for learnin...
We developed an Intelligent Conversational Channel as a platform for knowledge sharing. Discourse Communicator is an interactive
session with multiple agents that communicate the knowledge by replicating the group discussions which had transpired earlier.
The knowledge, which is created by the community, is represented using story object and multim...
Negotiation is a process of human communication, involving two parties, where each with his preconceived belief and objectives, trying to reach a mutually satisfactory result after exchanging and reconciling over matters. Negotiation can be computationally modeled using CBR techniques. The negotiators represent their negotiated terms as cases, eith...
Agents have played a significant role in computer-mediated communication especially in the field of education. Agents are modeled to act on behalf of humans in terms of their functions, tasks, knowledge and characteristics. We build an intelligent conversational channel where multiple agents are used to create a conducive learning environment. ICC...
The emerging of digital technology has made the research field in digital library a multidisciplinary research area. Incorporating
social factors such as interactiveness and negotiation are novel approach in making digital library more sociable and approachable.
Our research represents embedding this capability using case-based reasoning approach....
Stemming is an important process to improve the performance of information retrieval. It reduces the variant word forms to common forms. Due to its essence and popularity, research for stemming Malay words has been extended for retrieval of Malay documents. The existing Malay stemming algorithm is studied and new algorithm is proposed to improve th...
The relaxation spectrum is an important tool for studying the behaviour of viscoelastic materials. The most popular procedure is to use data from a small-amplitude oscillatory shear experiment to determine the parameters in a multi-mode Maxwell model. However, the discrete relaxation times appear nonlinearly in the mathematical model for the relaxa...
Although the development of rheological software has kept pace with the advances in modern rheometrical instruments the process of data analysis and interpretation remains fallible and can be prone to some significant errors. The reason for this is that the ability and knowledge of human beings to utilize the instruments and data at their disposal...
Human visual reasoning and understanding are important in the study of human cognition (Pisan, 1995). It is a constituent discipline in the field of artificial intelligence. Such research study advocates to various orientations such as image processing, neural networks, parallel distributed processing, machine learning and others. Human graph recog...
The advances in building learning technology now have to emphasize on the aspect of the individual learning besides the popular focus on the technology per se. Unlike the common research where a great deal has been on finding ways to build, manage, classify, categorize and search knowledge on the server, there is an interest in our work to look at...
Knowledge creation has become the primary focus in advance research of knowledge management system. There are few fundamental stages one has to reach before moving comfortably into knowledge creation stage. Social learning is an essential environment in ensuring that social interactions within knowledge management system promote mutual understandin...
Human visual reasoning and und erstanding are important i n the study of human cognition (Pisan, 1995). It i s a c onstituent discipline in the field o f artificial i ntelligence. Such research study advocates to various orientations s uch as image processing, neural networks, parallel distributed processing, machine learning and o thers. Human gra...
There have been multifarious approaches in building expert knowledge in medical or engineering field through expert system, case-based reasoning, model-based reasoning and also a large-scale knowledge-based system. The intriguing factors with these approaches are mainly the choices of reasoning mechanism, ontology, knowledge representation, elicita...