Services approach & overview general tools and resources

The contents of this deliverable are split into three groups. Following an introduction, a concept and vision is sketched on how to establish the necessary natural language processing (NLP) services including the integration of existing resources. Therefore, an overview on the state-of-the-art is given, incorporating technologies developed by the consortium partners and beyond, followed by the service approach and a practical example. Second, a concept and vision on how to create interoperability for the envisioned learning tools to allow for a quick and painless integration into existing learning environment(s) is elaborated. Third, generic paradigms and guidelines for service integration are provided.The work on this publication has been sponsored by the LTfLL STREP that is funded by the European Commission's 7th Framework Programme. Contract 212578 [http://www.ltfll-project.org

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

Mobile Learning: location, collaboration and scaffolding inquiry

Critiques of mobile learning pedagogy are concerned with whether such approaches are technology led. This chapter discusses how the particular features of mobile learning can be harnessed to provide new learning opportunities in relation to collaboration, inquiry and location-based learning. Technology supported inquiry learning is a situation rich with possibilities for collaboration. In particular, mobile learning offers new possibilities for scaffolding collaboration together with its other better-known features such as scaffolding the transfer between settings and making learning relevant by making use of the possibilities of location-based learning. These features are considered as part of mobile learning models, in particular mobile collaborative learning models

Internet of Things Applications - From Research and Innovation to Market Deployment

The book aims to provide a broad overview of various topics of Internet of Things from the research, innovation and development priorities to enabling technologies, nanoelectronics, cyber physical systems, architecture, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from technology to international cooperation and the global "state of play".The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition. The IoT will fuel technology innovation by creating the means for machines to communicate many different types of information with one another while contributing in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The success of IoT depends strongly on enabling technology development, market acceptance and standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context security, privacy, safety, trust have to be address by the product manufacturers through the life cycle of their products from design to the support processes. The IoT developments address the whole IoT spectrum - from devices at the edge to cloud and datacentres on the backend and everything in between, through ecosystems are created by industry, research and application stakeholders that enable real-world use cases to accelerate the Internet of Things and establish open interoperability standards and common architectures for IoT solutions. Enabling technologies such as nanoelectronics, sensors/actuators, cyber-physical systems, intelligent device management, smart gateways, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include: • Introduction• Internet of Things Strategic Research and Innovation Agenda• Internet of Things in the industrial context: Time for deployment.• Integration of heterogeneous smart objects, applications and services• Evolution from device to semantic and business interoperability• Software define and virtualization of network resources• Innovation through interoperability and standardisation when everything is connected anytime at anyplace• Dynamic context-aware scalable and trust-based IoT Security, Privacy framework• Federated Cloud service management and the Internet of Things• Internet of Things Application

Information Management for Digital Learners : Introduction, Challenges, and Concepts of Personal Information Management for Individual Learners

The current cultural transition of our society into a digital society influences all aspects of human life. New technologies like the Internet and mobile devices enable an unobstructed access to knowledge in worldwide networks. These advancements bring with them a great freedom in decisions and actions of individuals but also a growing demand for an appropriate mastering of this freedom of choice and the amount of knowledge that has become available today. Naturally, this observable rise and progress of new technologies—gently but emphatically becoming part of people’s everyday lives—not only changes the way people work, communicate, and shape their leisure but also the way people learn. This thesis is dedicated to an examination of how learners can meet these requirements with the support that modern technology is able to provide to learners. More precisely, this thesis places a particular emphasis that is absent from previous work in the field and thus makes it distinctive: the explicit focus on individual learners. As a result, the main concern of this thesis can be described as the examination, development, and implementation of personal information management in learning. Altogether two different steps towards a solution have been chosen: the development of a theoretical framework and its practical implementation into a comprehensive concept. To establish a theoretical framework for personal information management in learning, the spheres of learning, e-learning, and personalised learning have been combined with theories of organisational and personal knowledge management to form a so far unique holistic view of personal information management in learning. The development of this framework involves the identification of characteristics, needs, and challenges that distinguish individual learners from within the larger crowd of uniform learners. The theoretical framework defined within the first part is transferred to a comprehensive technical concept for personal information management in learning. The realisation and design of this concept as well as its practical implementation are strongly characterised by the utilisation of information retrieval techniques to support individual learners. The characteristic feature of the resulting system is a flexible architecture that enables the unified acquisition, representation, and organisation of information related to an individual’s learning and supports an improved find-ability of personal information across all relevant sources of information. The most important results of this thesis have been validated by a comparison with current projects in related areas and within a user study.Der gegenwärtige Wandel unserer Gesellschaft zu einer digitalen Gesellschaft hat weitreichenden Einfluss auf alle Aspekte des menschlichen Lebens. Neue Technologien wie das Internet und mobile Geräte zur Nutzung dieser Technologien ermöglichen einen nahezu ungehinderten Zugriff auf Wissen in weltweiten Netzwerken. Dieser Fortschritt bringt einerseits einen großen Freiheitsgrad für Entscheidungen und Handlungen des Einzelnen, andererseits aber auch eine immer lauter werdende Forderung nach Strategien für einen adäquaten Umgang mit dieser Freiheit und der verfügbaren Menge an Informationen. Naturgemäß verändern dieser Fortschritt und die zugehörigen Technologien nicht nur unser Arbeitsleben und den privaten Alltag, sondern auch die Art und Weise zu lernen. Diese Arbeit beschäftigt sich mit der Frage, wie Lernende diesen neuen Anforderungen gerecht werden und mithilfe von modernen Technologien in einem adäquaten Informationsmanagement unterstützt werden können. Die Besonderheit liegt dabei in einem ausschließlichen Fokus individuell Lernender, genauer gesagt jenen, die sich eigenständig auf individuellen Lernpfaden bewegen. Zusammengefasst untersucht diese Arbeit daher Möglichkeiten des personalisierten Informationsmanagements für Lernende. Die Untersuchung dieser Fragestellung erfolgt auf zwei Ebenen. Die erste Ebene dieser Arbeit umfasst eine theoretische Untersuchung der Thematik. Zu diesem Zweck wird ein übergreifendes Rahmenwerk für das persönliche Informationsmanagement von Lernenden entwickelt, das eine ganzheitliche Betrachtung dieser Fragestellung ermöglicht. Das entwickelte Rahmenwerk zeichnet sich insbesondere durch eine Verschmelzung der Domänen E-Learning und Wissensmanagement aus. Dazu werden im Rahmen dieser theoretischen Untersuchung prägende Facetten des Lernens beschrieben und Theorien des organisatorischen Wissensmanagements zur Bewältigung des persönlichen Informationsmanagements untersucht. Dies führt schließlich zu einer Charakterisierung von individuell Lernenden, der Identifikation grundlegender Herausforderungen für diese Lernenden sowie einem Modell zur Beschreibung des individuellen Informations- und Wissensmanagements. Die zweite Ebene dieser Arbeit umfasst die Umsetzung des entwickelten Rahmenwerks in ein praktisches Konzept zur effizienten Verwaltung von persönlichen Lerninhalten und -informationen einzelner Lernender. Das realisierte System ist dabei durch die Berücksichtigung von Informationsbedürfnissen individuell Lernender sowie besonders durch den gezielten Einsatz von Information Retrieval Techniken zur Unterstützung dieser Lernenden gekennzeichnet. Das konstituierende Merkmal dieses Systems ist daher eine flexible Architektur, die die Erfassung von Lernobjekten unter besonderer Berücksichtigung des Lernkontexts erlaubt. Detaillierter betrachtet ermöglicht die Erfassung von Basisinformation in Form von Lernobjekten in Kombination mit hierarchischen und nicht-hierarchischen Zusatzinformationen eine individuelle und umfassende Verwaltung von Lerninhalten und -informationen, die auch eine verbesserte Wiederauffindbarkeit dieser Informationen zu einem späteren Zeitpunkt unterstützt. Die wichtigsten Ergebnisse dieser Arbeit werden aktuellen Entwicklungen und Projekten in verwandten Bereichen gegenübergestellt und im Rahmen einer Nutzerstudie grundlegend validiert

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse