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About

João Correia Lopes is an Assistant Professor in Informatics Engineering at the Universidade do Porto and a senior researcher at INESC TEC.
He has graduated in Electrical Engineering in the University of Porto in 1984 and holds a PhD in Computing Science by Glasgow University in 1997.
His teaching includes undergraduate and graduate courses in databases and web applications, software engineering and programming, markup languages and semantic web.
He has been involved in research projects in the area of Data Management, Service-oriented architectures, e-health and e-Science.
Currently his main research interests are e-Health, e-Science and Research data management.

Interest
Topics
Details

Details

  • Name

    João Correia Lopes
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    19th June 1985
008
Publications

2020

A new approach to crowd journalism using a blockchain-based infrastructure

Authors
Teixeira, L; Amorim, I; Silva, AU; Lopes, JC; Filipe, V;

Publication
MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30 - December 2, 2020

Abstract
The significant evolution of smartphones has given ordinary people the power to create good-quality content which can then be spread, by the press, over multiple platforms. Citizens are almost always the first ones to arrive at a breaking news location and can provide the initial images of the scene. However, existing crowdsourced tools and platforms are predominantly centralized and are usually fed with unreliable and untrustworthy information. This work introduces a Crowd Journalism ecosystem whose core is a video marketplace web tool based on an organization-level decentralized system that can store, visualize, rate, and execute transactions of live-made videos. Smart contracts ensure that all the transactions are transparent and secure. This approach to Crowd Journalism exploits the inherent features of a blockchain such as offering trustful, anonymized, and immutable transactions, which has the potential to revolutionize the way news content is shared and commercially exploited. © 2020 ACM.

2019

The Perdigão: Peering into Microscale Details of Mountain Winds

Authors
Fernando, HJS; Mann, J; Palma, JMLM; Lundquist, JK; Barthelmie, RJ; Belo Pereira, M; Brown, WOJ; Chow, FK; Gerz, T; Hocut, CM; Klein, PM; Leo, LS; Matos, JC; Oncley, SP; Pryor, SC; Bariteau, L; Bell, TM; Bodini, N; Carney, MB; Courtney, MS; Creegan, ED; Dimitrova, R; Gomes, S; Hagen, M; Hyde, JO; Kigle, S; Krishnamurthy, R; Lopes, JC; Mazzaro, L; Neher, JMT; Menke, R; Murphy, P; Oswald, L; Otarola Bustos, S; Pattantyus, AK; Veiga Rodrigues, CV; Schady, A; Sirin, N; Spuler, S; Svensson, E; Tomaszewski, J; Turner, DD; van Veen, L; Vasiljevic, N; Vassallo, D; Voss, S; Wildmann, N; Wang, Y;

Publication
Bulletin of the American Meteorological Society

Abstract

2019

Ranking Dublin Core descriptor lists from user interactions: a case study with Dublin Core Terms using the Dendro platform

Authors
da Silva, JR; Ribeiro, C; Lopes, JC;

Publication
International Journal on Digital Libraries

Abstract
Dublin Core descriptors capture metadata in most repositories, and this includes recent repositories dedicated to datasets. DC descriptors are generic and are being adapted to the requirements of different communities with the so-called Dublin Core Application Profiles that rely on the agreement within user communities, taking into account their evolving needs. In this paper, we propose an automated process to help curators and users discover the descriptors that best suit the needs of a specific research group in the task of describing and depositing datasets. Our approach is supported on Dendro, a prototype research data management platform, where an experimental method is used to rank and present DC Terms descriptors to the users based on their usage patterns. User interaction is recorded and used to score descriptors. In a controlled experiment, we gathered the interactions of two groups as they used Dendro to describe datasets from selected sources. One of the groups viewed descriptors according to the ranking, while the other had the same list of descriptors throughout the experiment. Preliminary results show that (1) some DC Terms are filled in more often than others, with different distribution in the two groups, (2) descriptors in higher ranks were increasingly accepted by users in detriment of manual selection, (3) users were satisfied with the performance of the platform, and (4) the quality of description was not hindered by descriptor ranking. © 2018 Springer-Verlag GmbH Germany, part of Springer Nature

2019

Empowering Distributed Analysis Across Federated Cohort Data Repositories Adhering to FAIR Principles

Authors
Rocha, A; Ornelas, JP; Lopes, JC; Camacho, R;

Publication
ERCIM News

Abstract

2018

Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, Proceedings

Authors
Méndez, E; Crestani, F; Ribeiro, C; David, G; Lopes, JC;

Publication
TPDL

Abstract

Supervised
thesis

2020

Monitoring Framework for Clinical ETL processes and associated performance resources

Author
Margarida Abranches Matos da Costa Santos

Institution
UP-FEUP

2020

Video marketplace as a new approach to Crowd Journalism using a blockchain-based infrastructure

Author
Leonardo Manuel Gomes Teixeira

Institution
UP-FEUP

2019

Management of large volumes of data collected by wind monitoring sensors

Author
Pedro Filipe Agrela Faria

Institution
UP-FEUP

2019

Web platform for monitoring fields trials

Author
Pedro Daniel Viana Lima

Institution
UP-FEUP

2018

Sistemas de Visualização e Controlo para Ambientes Unifamiliares com Múltiplos Protocolos

Author
Nuno Filipe Medeiros de Vasconcelos

Institution
UP-FEUP