Citation
Dahal, K. and OUZROUT, Y. (2015), "Guest editorial", International Journal of Intelligent Computing and Cybernetics, Vol. 8 No. 3. https://doi.org/10.1108/IJICC-05-2015-0015
Publisher
:Emerald Group Publishing Limited
Guest editorial
Article Type: Editorial From: International Journal of Intelligent Computing and Cybernetics, Volume 8, Issue 3.
The field of software, knowledge, information management and applications an important source of technology for the design, management and use of information systems for decision support. Much of the interest in this field can be attributed to the need for software and tools to improve data and knowledge management and analysis, and decision support systems. However, it is obvious that technology has social consequences: collaborating and sharing of information and knowledge within companies challenges existing processes and culture. For this reason, the success of this technology heavily depends on the willingness of the organization to accept change and especially on the people that must form inter-organizational and cross-functional teams to collaboratively develop and manage products, processes, etc.
This special issue presents a group of papers dealing with the latest researches, technologies and developments related to the theoretical analysis and application of the intelligent computing techniques for data, information and knowledge management and decision making. They all examine different aspects of the information technology use for software development and provide fundamental theories, tools and methods. Among other papers, this issue also includes extended papers from the 7th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2013), which was held in Chiang Mai, Thailand, 18-20 December 2013. Five papers are included in the Special Issue: the first, second and fourth papers present applied research; and the third and fifth papers report theoretical research. Two papers (first and second) are related to computing tools, and the other three are related to intelligent learning and decision-making technologies.
The paper by Usoro et al. reviews recent research on the use of Web 2.0 technologies for learning activities. The main contributions of this research work is to propose a model to analyse users behaviour and to provide recommendations to educators and systems developers to encourage students to use social media tools for learning.
The second paper, written by Singjai and Sureephong, is devoted to cloud services evaluation and selection. After a literature review on existing approaches, the authors propose a combined technique of cumulative voting and numerical assignments to prioritize the services of the learning cloud service based on requirement elicitations.
The work of Barlas and Lanning relates to the open source data science tools and knowledge discovery in databases. The authors provide the main results of a survey; the purpose of this survey being to offer insight about the current status of open source data science tools, reveal the state-of-the-art tools and provide a classification scheme that identified important functionalities. The objective is to provide assistance to data scientists, researchers and industry in the process of studying the functionalities of tools and selecting the most appropriate OS data science tool based on their needs.
The contribution of Ketcham and Ganokratanaa is devoted to driver assistance systems. The authors present a study of different lane detection algorithms, and propose a useful solution for lane detection by analysing histogram shapes and Hough transform algorithms through digital image processing. Some interesting experimental results are presented.
The final paper, by Kaibo et al., presents a new point of view for evaluation of data representation in big databases. The aim is to improve the capability of database’s to answer queries in data intensive information system contexts. The main contribution of this research work is that the authors propose an approach based on description logics and information bearing capabilities (IBC) principles to classify paths in data schemas and verify their formalized IBC in ER data schema.
The Guest Editors would like to thank all authors and reviewers who contributed to this special issue, particularly the authors for submitting and revising their original papers following reviewers’ valuable comments (all the papers submitted to this Special Issue were reviewed by at least three experts). A big thank you goes to Professor Haibin Duan, the Editor-in-Chief of the IJICC, for accepting our proposal of this Special Issue and supporting us throughout its publication process. Last but not least, we are very grateful to Andrea Watson Lee, Daniel Jopling and Claire Jackson at Emerald for their hard work and detailed guidance for this Special Issue.
Professor Keshav Dahal
Department of Computing, University of the West of Scotland, Paisley, UK, and
Professor Yacine Ouzrout
DISP Laboratory, University Lumiere Lyon 2, Lyon, France
About the Guest Editors
Keshav Dahal is a Professor in Intelligent Systems in the Artificial intelligence, Visual Communications & Networks (AVCN)
Research Centre at the University of the West of Scotland (UWS) UK. Prior to this he was with the University of Bradford and
University of Strathclyde UK. He obtained his PhD and MSc Degrees from Strathclyde. His research interests lie in the areas
of applied AI to intelligent systems, trust and security modelling in distributed systems, and scheduling/optimization problems.
He has published over 100 peer-reviewed journal/conference papers, and has sat on organizing/programme committees of over
50 international conferences including Programme Chair of the International Conference on Software Knowledge Information Management
and Applications (SKIMA2006 and SKIMA2013). He is a Senior Member of the IEEE. He has supervised the completion of 13 PhD
and over 20 Masters Studies. Professor Keshav Dahal is the corresponding author and can be contacted at: mailto:keshav.dahal@uws.ac.uk
Professor Yacine Ouzrout is a Computer Scientist in the Product Lifecycle Management group of the DISP Laboratory at University
Lumiere Lyon 2. He obtained his PhD in Computer Engineering from the INSA National Institute of Technology of Lyon, France
and his HDR Diploma (accreditation to supervise research) in 2012 from the University Lyon 2. Currently, he is an Associate
Professor at University Lumiere Lyon 2 (ULL). He is the Director of the IUT (Intitute of Technology) of his university and
Deputy Director of the DISP Laboratory. His research interests include information systems and decision support systems for
the supply chain and product lifecycle management. He was Programme Co-chair of the International Conference on Software Knowledge
Information Management and Applications (SKIMA) in 2008 in Katmandu and 2013 in Chiang Mai, and, Co-chair and Member of programme
committees of international conferences (PLM’05, SKIMA, AICIT, ICTIS) on software engineering and information systems, Member
of Scientific Commissions. He has graduated nine doctorates and over 20 Master students.