985 research outputs found

    Internet of Things Strategic Research Roadmap

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    Internet of Things (IoT) is an integrated part of Future Internet including existing and evolving Internet and network developments and could be conceptually defined as a dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities, use intelligent interfaces, and are seamlessly integrated into the information network

    Deliverable D6.4: Assessment report: Experimenting with CONNECT in Systems of Systems, and Mobile Environments

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    The core objective of WP6 is to evaluate the CONNECT technologies under realistic situations. To achieve this goal, WP6 concentrated a significant amount of its 4th year effort on the finalization of the implementation of the GMES scenario defined during the 3rd year. The GMES scenario allows the consortium to assess the validity of CONNECT claims and to investigate the exploitation of CONNECT technologies to deal with the integration of real systems. In particular, GMES requires the connection of highly heterogeneous and independently built systems provided by the industry partners. WP6 contributed also in providing mobile collaborative applications and case studies showing the exploitation of CONNECTORs on mobile devices

    Current trends on ICT technologies for enterprise information s²ystems

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    The proposed paper discusses the current trends on ICT technologies for Enterprise Information Systems. The paper starts by defining four big challenges of the next generation of information systems: (1) Data Value Chain Management; (2) Context Awareness; (3) Interaction and Visualization; and (4) Human Learning. The major contributions towards the next generation of information systems are elaborated based on the work and experience of the authors and their teams. This includes: (1) Ontology based solutions for semantic interoperability; (2) Context aware infrastructures; (3) Product Avatar based interactions; and (4) Human learning. Finally the current state of research is discussed highlighting the impact of these solutions on the economic and social landscape

    Mobile identification as a service

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    Dissertação de mestrado integrado em Informatics EngineeringThe benefits of using mobile identification applications as substitutes for physical documents are obvious, whether these are university student cards, company employee identification cards, the citizen card or driving license. However, as these applications grow in popularity and complexity, new requirements and needs arise that need to be addressed without disturbing the normal behavior of the application. Often the data needed to provide an authentication service is spread across multiple servers, which need to be integrated. This becomes more complicated and complex when an application provides more than one form of authentication (a driving license and a student card require data provided by different services). In this dissertation we are going to look for solutions that allow to develop an architecture that is prepared to integrate new services at runtime and allows the management of the system, maintaining its dynamic and independence from third parties, regardless of the technology and form of communication used by them. So, this dissertation presents the state of the art regarding the integration of multiple service providers and the design and implementation a proposed solution, using the WSO2 products to do so. This process is performed in the context of the mobile ID, that is a implementation of a mobile driving license based on the ISO/IEC 18013-5:2021.São cada vez mais evidentes os benefícios do uso de aplicações de identificação móvel como substitutos aos documentos físicos, sejam estes cartões de estudantes universitários, cartões de identificação de funcionários de empresas, o cartão de cidadão ou a carta de condução. No entanto, à medida que estas aplicações se tornam mais populares e mais complexas, surgem novas ex igências e necessidades que precisam de ser colmatadas sem perturbar o normal funcionamento da aplicação. Muitas vezes os atributos necessários para fornecer um serviço de identificação encontram-se distribuídos por múltiplos servidores, que necessitam de ser integrados. Isto torna-se mais complicado e complexo quando uma aplicação disponibiliza mais de uma forma de identificação (uma carta de condução e um cartão de estudante requerem dados fornecidos por multiplos e diferentes serviços). Nesta dissertação vamos procurar soluções que permitam desenvolver uma arquitetura que esteja preparada para integrar novos serviços em runtime e permitir toda a gestão do sistema, mantendo a aplicação dinâmica e independente de entidades terceiras, independentemente da tecnologia e forma de comunicação usada pelo serviço. Assim, nesta dissertação é apresentado o estado da arte relativamente à integração de múltiplos fornece dores de serviço e o design e implementação da solução proposta, utilizando os produtos do WSO2 para fazê lo. Todo este processo é realizado no contexto do mobile ID, que é uma implementação da carta de condução digital baseada na ISO/IEC 18013-5:2021

    NEGOSEIO: framework for the sustainability of model-oriented enterprise interoperability

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    Dissertation to obtain the degree of Doctor of Philosophy in Electrical and Computer Engineering(Industrial Information Systems)This dissertation tackles the problematic of Enterprise Interoperability in the current globally connected world. The evolution of the Information and Communication Technologies has endorsed the establishment of fast, secure and robust data exchanges, promoting the development of networked solutions. This allowed the specialisation of enterprises (particularly SMEs) and favoured the development of complex and heterogeneous provider systems. Enterprises are abandoning their self-centrism and working together on the development of more complete solutions. Entire business solutions are built integrating several enterprises (e.g., in supply chains, enterprise nesting) towards a common objective. Additionally, technologies, platforms, trends, standards and regulations keep evolving and demanding enterprises compliance. This evolution needs to be continuous, and is naturally followed by a constant update of each networked enterprise’s interfaces, assets, methods and processes. This unstable environment of perpetual change is causing major concerns in both SMEs and customers as the current interoperability grounds are frail, easily leading to periods of downtime, where business is not possible. The pressure to restore interoperability rapidly often leads to patching and to the adoption of immature solutions, contributing to deteriorate even more the interoperable environment. This dissertation proposes the adoption of NEGOSEIO, a framework that tackles interoperability issues by developing strong model-based knowledge assets and promoting continuous improvement and adaptation for increasing the sustainability of interoperability on enterprise systems. It presents the research motivations and the developed framework’s main blocks, which include model-based knowledge management, collaboration service-oriented architectures implemented over a cloud-based solution, and focusing particularly on its negotiation core mechanism to handle inconsistencies and solutions for the detected interoperability problems. It concludes by validating the research and the proposed framework, presenting its application in a real business case of aerospace mission design on the European Space Agency (ESA).FP7 ENSEMBLE, UNITE, MSEE and IMAGINE project

    Data Spaces

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    This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical
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