Model-driven data-intensive Enterprise Information Systems

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Collaborative Ontology Development with Inheritance Support

Modern development of huge ontologies in domain of crucial importance is inconceivable without appropriate means for effective collaboration between knowledge stakeholders. The paper presents an approach for collaborative ontology development using inheritance of classes and their properties, relations and metadata. Collaborative actions for maintenance of ontology content are supported by a special annotation ontology facilitating updates, discussions, proposals and voting. The approach is to be incorporated into a platform for collaborative cultural content creation based on ontologies

Cyber-Physical Systems: a multi-criteria assessment for Internet-of-Things (IoT) systems

This research work was partially supported by funds provided by the European Commission in the scope of FoF/H2020-636909 C2NET, FoF/H2020-723710 vf-OS and ICT/H2020-825631 ZDMP.This article addresses a multi-criteria decision problem regarding the more suitable device (system) to perform a task for cyber-physical systems. New embedded systems provided everyday makes engineers’ decision very difficult. Components are proposed to formally describe solutions, criteria, constraints and priorities, taking into account users’ specific aspects. To materialise all formal descriptions, a model-driven approach is followed, allowing the design of enablers for interoperability with standards. It is enabled the use of different software languages and decision methods. Proposed framework enables a better Internet-of-Things system selection, and therefore stakeholders can perform a more suitable design of their cyber-physical enterprise systems.authorsversioninpres

MDA-based interoperability establishment using language independent information models

Nowadays, more and more enterprises realize that one important step to success in their business is to create new and innovative products. Many times the solution to do that is to abandon the idea of an enterprise as an "isolated island", and get collaboration with others: worldwide non-hierarchical networks are characterized by collaboration and non-centralized decision making. This paper proposes a conceptual model common to the entire business network, in a framework that enables the abstraction of individual models at their meta-level and increase language independency and interoperability, keeping all the enterprise software's integrity intact. The strategy presented allows an incremental mapping construction, to achieve growing integration.publishersversionpublishe

Semantic architecture for sensors

Based on the report for the unit “Sociology of New Information Technologies” of the Master on Computer Sciences at FCT/University Nova Lisbon in 2015-16. The responsible of this curricular unit is Prof. António MonizTechnological progress in recent years and the increase of Internet of things (IoT) in our daily life brought a huge flood of data that can only be handle, processed and exploited in real-time with the help of Information and Communication Technologies (ICT). The ICT is one main element in order to achieve more efficient and sustainable an environment resource management, while the needs of the citizens are satisfied, creating new applications to improve citizen’s quality life. The creation of new systems that allow the acquisition of context information, automatically and transparently, and give that information to decision support systems are important aspects for information societies. In this paper it will be presented the usability and importance of sensors to get information from our environment in order to know what and when happen changes around us as well as the importance of ontologies in the structure and organization of the systems, to acquire new knowledge

Semantic Adaptation of Knowledge Representation Systems

Part 4: Intelligent Computational SystemsInternational audienceDue to the worldwide diversity of enterprises, a high number of ontologies representing the same segment of reality which are not semantically coincident have appeared. To solve this problem, a possible solution is to use a reference ontology to be the intermediary in the communications between the community enterprises and to outside. Since semantic mappings between enterprise’s ontologies are established, this solution allows each of the enterprises to keep internally its own ontology and semantics unchanged. However information systems are not static, thus established mappings become obsolete with time. This paper’s presents a PhD research with the objective to identify a suitable approach that combines semantic mappings with user’s feedback, providing an automatic learning to ontologies & enabling auto-adaptability and, consequently, dynamism to the information systems

Interoperability enablers for cyber-physical enterprise systems

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Intelligent negotiation mechanism for supporting the interoperability within the sensing enterprise

The authors wish to acknowledge the support of the European Commission through the funding of the UNITE, MSEE and IMAGINE FP7 projects, and the European Space Agency - Concurrent Design Facility (ESA-CDF) for their support in the development of the business case presented in this paper.The Sensing Enterprise is a novel concept that refers to an enterprise anticipating future decisions by using multi-dimensional information captured through physical and virtual objects. The Sensing Enterprise concept is shifting focus towards a borderless enterprise, having at its core the collaboration and continuous interactions among smart objects and systems. But in the actual competitive and global business context, the maintenance of the collaboration environment through the interoperation among heterogeneous smart virtual and physical objects in a collaborative organizational environment becomes difficult to achieve. Therefore, in a dynamic context a change in any component of the networked partners affects the others, creating difficulties to sustain operating networked environment. In this respect, this paper proposes an intelligent negotiation framework as a key mechanism to achieve and maintain the interoperability between the organisations' smart objects and applications, and its validation in an industrial scenario. To allow a sustainable, flexible and generic approach towards the infrastructure implementation in global scale, a cloud-based platform is proposed for setting of the Sensing Enterprise framework.publishersversionpublishe

An Organizational and Governance Model to Support Mass Collaborative Learning Initiatives

Funding text 1 This study was supported by the Center of Technology and Systems (CTS-UNINOVA). Funding text 2 Fundação para a Ciência e Tecnologia (project UIDB/00066/2020) and European Commission ERASMUS + through grant n° 2020-1-FR01-KA202-080231 ED-EN HUB.Mass collaboration can bring about major transformative changes in the way people can work collectively. This emerging paradigm promises significant economic and social benefits and enhanced efficiency across a range of sectors, including learning and education. Accordingly, this article introduces, demonstrates in use, and evaluates an organizational and governance model designed to provide guidance and execution support for the implementation and operation of mass collaborative learning initiatives. The design science research process is adopted to guide the design and development of the proposed model. The model stands on three streams of work, addressing key aspects and elements that have a supporting influence on community learning: (i) identify the positive and negative factors in existing and active examples of mass collaboration; (ii) adopt contributions of collaborative networks in terms of structural and behavioral aspects; and (iii) establish adequate learning assessment indicators and metrics. The model is used for a case study in which vocational education and training meet the needs of collaborative education–enterprise approaches. Initially, the validation of the model is verified by the partners and stakeholders of a particular project in the area of education–enterprises relations to ensure that it is sufficiently appropriate for applications in a digital platform developed by such projects. The three first steps of (the proposed) applicability evaluation (adequacy, feasibility, and effectiveness) are then performed. The positive results gained from model validation and its applicability evaluation in this project indicate that not only is the model fairly adequate, feasible, and effective for applications in the developed digital platform but also that it has a high potential for utilization in supporting and directing the creation, implementation, and operation of mass collaborative learning initiatives. Although the validation was carried out in the context of a single project, in fact, it was based on a large “focus group” of experts involved in this international initiative, which is in accordance with the Design Science Research method. Thus, this article reflects a kind of applied research of a socio-technical nature, aiming to find guidelines and practical solutions to the specific issues, problems, and concerns of mass collaborative learning initiatives.publishersversionpublishe

Sensor network integration for a medical device using CDG

The weakness of the deep layer of lumbar or cervical spine muscles (so-called multifidus muscles) is among the most common causes for backpain. Frequent testing and measurements over a 20 years period of time showed a common weakness of this particular muscle group in more than 70% of investigated persons. Following a routine training has demonstrated an effective improvement in low back health. The Smart4Health project aims at empowering EU Citizens with an interoperable and exchangeable European Electronic Health Record (EHR) that will allow EU citizens to be active participants in managing their own health. As part of project activities, Smart4Health will upgrade existing physiotherapy devices with real-Time measurements and connectivity capabilities, meeting new medical device regulations. Force and angle sensors measurement technology will be connected and integrated in the Smart4Health framework, enabling the patient with a real-Time performance visualization and the treatment data upload for a secure cloud. The clinicians can then keep track of the patient treatment and made the necessary adjustments (if needed). The physiotherapy device and its sensors are connected over a secure network, enabling the data collection of health-related data. Moreover, an intelligent sensors network collecting citizen health and wellbeing data, adds information to citizen's EHR.authorsversionpublishe