OntoEng: A design method for ontology engineering in information systems

This paper addresses the design problem relating to ontology engineering in the discipline of information systems. Ontology engineering is a realm that covers issues related to ontology development and use throughout its life span. Nowadays, ontology as a new innovation promises to improve the design, semantic integration, and utilization of information systems. Ontologies are the backbone of knowledge-based systems. In addition, they establish sharable and reusable common understanding of specific domains amongst people, information systems, and software agents. Notwithstanding, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. On the basis of the gathered experience during the development of V4 Telecoms Business Model Ontology as well as the conducted integration of the related literature from the design science paradigm, this paper introduces OntoEng and its application as a novel systematic design method for ontology engineering

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

WSMO-lite annotations for web services

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A framework for modelling mobile radio access networks for intelligent fault management

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An Intelligent Methodology for Modeling Semantic Knowledge in Industrial Networks

Networks has been involved in Industrial and IoT Applications for decades, creating new opportunities for more personalized services, improved security, greater automation and operational efficiency. Industry and businesses who prioritize and modernize their analytics strategy and technology to monetize their data will lead and succeed in our data-driven world. The network now provides even more detailed information through units and equipment databases, which provide details about the installed equipment, including models, designed capacity, performance and start / stop dates of the switches, routers, etc. repositories, digital files and business websites. Access to these collections is a serious challenge. Artificial intelligence and the Semantic Web provide a common framework for sharing and reusing knowledge in an efficient way. This article explores the architecture of intelligent agents to make the argument of an intelligent solution as opposed to traditional methods. We propose a new paradigm in which the intelligent management of the network is integrated into the conceptual repository of management information. This study focuses on an intelligent framework and language to formalize knowledge management descriptions and combine them with the existing SNMP management model. Based on the present proposal and the Internet management model, we describe the design and implementation of an integrated intelligent management platform called OntoNetwork