Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey

Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges

Basic Concepts of Information Systems

This chapter covers the basic concepts of the information systems (IS) field to prepare the reader to quickly approach the book’s other chapters: the Definition of information, the notion of system, and, more particularly, information systems. We also discuss the typology of IS according to the managerial level and decision-making in the IS. Furthermore, we describe information systems applications covering functional areas and focusing on the execution of business processes across the enterprise, including all management levels. We briefly discuss the aspects related to IS security that ensure the protection and integrity of information. We continue our exploration by presenting several metrics, mainly financial, to assess the added value of IS in companies. Next, we present a brief description of a very fashionable approach to make the information system evolve in all coherence, which is the urbanization of IS. We conclude this chapter with some IS challenges focusing on the leading causes of IS implementation’s failure and success

Architecture des systèmes de maintenance 4.0 : défis et opportunités

The Maintenance 4.0 movement results from changes to processes and manufacturing systems due to the Industry 4.0 paradigm. By anticipating anomalies, foreseeing failures, and reducing asset downtime, maintenance 4.0 is a methodology that boosts productivity and efficiency. Additionally, it makes use of cutting-edge technologies like ML (Machine Learning), CPS (Cyber-Physical Systems), and IoT (Internet of Things). These innovations make it possible to regularly monitor assets in real-time and streamline the maintenance procedure by offering suggestions for when to take action. The four main parts of maintenance 4.0 systems are data collection, analysis of collected data, dynamic monitoring and visualization, and decision-making. Maintenance 4.0 has yet to be widely adopted in industries despite its many advantages. This paper aims to investigate and discuss the maintenance 4.0 typical system architecture and the maintenance opportunities and adoption challenges it poses.Le mouvement Maintenance 4.0 résulte des changements apportés aux processus et aux systèmes de fabrication en raison du paradigme de l'Industrie 4.0. En anticipant les anomalies, en prévoyant les pannes et en réduisant les temps d'arrêt des actifs, la maintenance 4.0 est une méthodologie qui augmente la productivité et l'efficacité. De plus, il utilise des technologies de pointe telles que ML (Machine Learning), CPS (Cyber-Physical Systems) et IoT (Internet of Things). Ces innovations permettent de surveiller régulièrement les actifs en temps réel et de rationaliser la procédure de maintenance en proposant des suggestions d'intervention. Les quatre principales parties des systèmes de maintenance 4.0 sont la collecte de données, l'analyse des données collectées, la surveillance et la visualisation dynamiques et la prise de décision. La maintenance 4.0 n'est pas encore largement adoptée dans les industries malgré ses nombreux avantages. Cet article vise à étudier et à discuter de l'architecture système typique de la maintenance 4.0, ainsi que des opportunités de maintenance et des défis d'adoption qu'elle pose