Using NLP to Define the Scope for Stakeholder Assessment of Simulated Service Qualities

The paper is devoted to defining the scope of research activities aimed at involving business stakeholders in a software process in a form of assessing the perceived quality of the service-oriented system in its usage context when the initial specification of the system is available in natural language form. We propose to use NLP techniques to extract the scope from this specification and to represent it in the format of specific predesign models compatible with the rest of the simulation solution.Стаття присвячена визначенню області проведення досліджень, пов’язаних з підключенням зацікавлених осіб до процесу розробки програмного забезпечення через оцінювання сприйманої якості сервіс-оріентованих систем в контексті їхнього використання, коли початкова специфікація системи задана природною мовою. Пропонується використання технології аналізу природної мови для отримання інформації про область застосування з цієї специфікації у форматі спеціальних моделей предпроектування, які є сумісними з основними модулями імітаційного рішення.Статья посвящена определению области проведения исследований, связанных с подключением заинтересованных лиц к процессу разработки программного обеспечения через оценивание воспринимаемого качества сервис-ориентированных систем в контексте их использования, в случае, если начальная спецификация системы задана естественным языком. Предлагается использование технологии анализа естественного языка для получения информации об области применения из этой спецификации в формате специальных моделей предпроектирования, которые являются совместимыми с основными модулями имитационного решения

Semantic technologies: from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation

Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity

The next generation of the web: an organisational perspective

The web has revolutionised information sharing, management, interoperability and knowledge discovery. The union of the two prominent web frameworks, Web 2.0 and the Semantic Web is often referred to as Web 3.0. This paper explores the basics behind the two paradigms, assesses their influence over organisational change and considers their effectiveness in supporting innovative solutions. It then outlines the challenges of combining the two web paradigms to form Web 3.0 and critically evaluates the impact that Web 3.0 will have on the social organisation. The research carried out follows action research principles and adopts an investigative and reviewing approach to the emerging trends and patterns that develop from the web's changing use, examining the underpinning enabling technologies that facilitate access, innovation and organisational change

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