João Sarraipa

ORCID: 0000-0003-3102-3179
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About
Contact & Profiles
Research Areas
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Business Process Modeling and Analysis
  • Digital Transformation in Industry
  • Collaboration in agile enterprises
  • IoT and Edge/Fog Computing
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Big Data and Business Intelligence
  • Context-Aware Activity Recognition Systems
  • E-Learning and Knowledge Management
  • Emotion and Mood Recognition
  • Innovative Approaches in Technology and Social Development
  • Online Learning and Analytics
  • Knowledge Management and Sharing
  • EEG and Brain-Computer Interfaces
  • Wikis in Education and Collaboration
  • Advanced Software Engineering Methodologies
  • Software Engineering Techniques and Practices
  • ERP Systems Implementation and Impact
  • University-Industry-Government Innovation Models
  • Cloud Computing and Resource Management
  • Gaze Tracking and Assistive Technology
  • Robotics and Automated Systems
  • Information Technology Governance and Strategy

Universidade Nova de Lisboa
2015-2024

Uninova
2014-2024

University of Lisbon
2014-2023

Nova Institut
2014-2022

Institute of Electrical and Electronics Engineers
2019

University of Catania
2019

Iscte – Instituto Universitário de Lisboa
2019

Université Polytechnique Hauts-de-France
2018

Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines
2018

Centre National de la Recherche Scientifique
2018

A community with knowledge organisation based on ontologies will enable an increase in the computational intelligence of its information systems. However, due to worldwide diversity communities, a high number representation elements, which are not semantically coincident, have appeared representing same segment reality, becoming barrier business communications. Even if domain uses kind technologies systems, such as ontologies, it doesn't solve semantics differences. In order this...

10.1080/03081079.2010.484278 article EN International Journal of General Systems 2010-05-13

The current Internet-of-things (IoT) hype, pushed by the unprecedented rate of technological enablers' innovation, is threatening to leave behind some major, not so obvious, unresolved issues. IoT platforms will extend existing enterprise information systems (EIS) infrastructures encompass cross-domain sensing and actuating capabilities, thus introducing additional complexity major risks implementation. Furthermore, are typically driven models trivial complexity; they support very simple...

10.1080/00207543.2017.1385870 article EN International Journal of Production Research 2017-10-12

As the demand for Artificial Intelligence (AI) continues to grow across industries, there is a need effective training programs that support successful deployment of AI in various organizational contexts.This study aims bring attention importance preparing industry professionals implementation and highlights key considerations designing initiatives.It identifies needs industry, hands-on learning experiences, continuous skill development ensure optimal utilization technologies context...

10.12720/jait.15.3.397-406 article EN Journal of Advances in Information Technology 2024-01-01

Industrial collaborative networks are characterised by heterogeneous business processes and data structures. Enterprises joining these face difficulties when they have to manage orchestrate information within the network, namely due lack of interoperability between systems software applications operating them. The furniture industry is largest manufacturing sector in world, involving mostly small medium enterprises (SMEs). development networked environments this industrial has been...

10.1080/0951192x.2012.687130 article EN International Journal of Computer Integrated Manufacturing 2012-06-09

As digitalization and smartification affect businesses of all kinds ever more profoundly, the growing concern is about how such opportunities can promote companies' productivity through improved customized smart solutions also costumer engagement. To meet these new requirements engage in collaborative initiatives, Digital Innovation Hubs (DIHs), by leveraging digital technologies benefiting diverse minds inclusion, from one side help companies to become competitive with regard their...

10.1109/ice/itmc52061.2021.9570120 article EN 2021-06-21

To improve the competitiveness of industry in Tunisia and Morocco, local authorities have adopted strategies to support industrial companies modernizing their value-adding infrastructures. A sustained effort has been dedicated encouraging organizations embrace Industry 4.0 paradigm technologies. Despite these continued efforts, engaging with is still difficult countries like particularly because struggle find fresh graduates on job market who are both skilled qualified operations. The...

10.1177/09504222231153782 article EN Industry and Higher Education 2023-02-03

Ontologies facilitate the computational understanding, communication and seamless interoperability between people organizations. They allow key concepts terms relevant to a given domain be identified defined in an open unambiguous way. Therefore, ontologies use exchange of data, information, knowledge among organizations, towards intelligent systems interoperability. Tasks on distributed heterogeneous demand support from more than one ontology. Multiple need accessed by same, but also...

10.1109/is.2008.4670436 article EN 2008-09-01

With the introduction of paradigms like Internet Things, Cyber Physical Systems and Cloud Computing, Smart Factories are becoming a central part today's manufacturing systems. Even though there already some solutions in market full potential for smart hasn't yet been achieved. In order to fulfil gap European researchers developing vf-OS, platform that aims be future reference factories operating this work is presented preliminary results regarding modules related IoT, event processing,...

10.1109/ice.2017.8280066 article EN 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2017-06-01

The industrial panorama is evolving. Using IoT sensors and actuators it possible to increase product's value, by controlling its production chain. Internet technologies such as FIWARE can provide the services that modern industry needs process evaluate sensor data apply higher standards, which product value. Although enablers tools fulfil needs, there an interoperability gap a between applications enablers, different have protocols needs. This article describes agriculture system developed...

10.1109/ice.2018.8436381 article EN 2018-06-01

In the last decades, increasing complexity of industrial information technology has led to emergence new trends in manufacturing. Factories are using multiple Internet Things (IoT) platforms harvest sensor improve production. Such a transformation contributes efficiency growth and reduced production costs. To deal with heterogeneity services within an IoT system, Service-Oriented Architecture (SOA) is referred literature as being advantageous for design development software support IoT-based...

10.3390/pr10091782 article EN Processes 2022-09-05

Este artículo ha presentado el estado del arte de la deserción universitaria en Europa y América Latina, modelo Centro Apoyo Desarrollo Educativo Profesional (CADEP) para observar tratar disminuir estudiantil. Fue un estudio cualitativo con enfoque hermenéutico donde se analizaron textos libros, artículos científicos, informes congresos, prensa, leyes, políticas normas institucionales. Los resultados mostraron: que Europa, Latina Caribe oscila 30% al 60%, centrada factores como lo económico,...

10.5377/rci.v18i1.3049 article ES cc-by-nc-nd Ciencia e Interculturalidad 2016-12-16

Alzheimer is a chronic neurodegenerative brain disease that affects mostly elder people. After sixty-five years age, there an increased probability to develop this kind of dementia usually starts slowly and worsen over time. The symptoms manifest in slow decline memory other cognitive abilities, interfering seriously with daily life routines. In face probable decline, it necessary determine if the person exposed risk signal those situations or referenced persons as necessary. To accomplish...

10.1109/is.2018.8710487 article EN 2018-09-01

Recent developments in the area of cyber-physical systems (CPSs) and Internet Things (IoT) are among drivers for emergence Industry 4.0 concept, setting new requirements architecture, technology, design approaches modern industrial systems. assumes a higher level intelligence, thus autonomy subsystems, larger focus on analysis gathered data further utilization. The Virtual Factory Open Operating System (vf-OS) project is intended to respond some these key challenges, particular smart factory...

10.3390/app9224936 article EN cc-by Applied Sciences 2019-11-16

With the increasing demand for digital transformation and (digital) technology transfer (TT), innovation hubs (DIHs) are new piece of puzzle our economy industries’ landscapes. Evidence shows that DIHs can provide good opportunities to access needed innovations, technologies, resources at a higher level than other organizations normally them. However, it is critically important note still evolving, under research, development. That is, there many substantial aspects should be considered. For...

10.3390/computers12060122 article EN cc-by Computers 2023-06-15

Mass collaboration can bring about major constructive changes in the way which people practice learning collectively. collaborative communities (MCLCs), for example, offer a multitude of opportunities large number to connect, collaborate, and engage activities at an unprecedented level. MCLCs be assisted fortified by supporting services such as digital innovation hubs (DIHs). In this direction, study gives prominence most distinctive facilities that DIHs provide MCLCs. Such can, help...

10.1109/cscs59211.2023.00064 article EN 2023-05-01

Enterprise modeling has been considered effective for enterprise integration and engineering. Model traceability is the characteristic in which a model clearly linked to its source outputs created during life cycle. As models change over time, ensure better interoperability between systems organizations it necessary trace these changes. Thus, adoption of an annotation technique seems adequate. This paper proposes novel methodology using order record changes organized five steps: problem...

10.1115/detc2007-35682 preprint EN 2007-01-01
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