Computer Science, Information Systems, Computer Science Applications, Computer Engineering
23
Scopus Publications
Scopus Publications
Applications of Artificial Intelligence in Port Management and Operations: A Prisma-Based Review Adriana Fernandes, Valéria Pequeno, Pedro Teodoro, Manuela Batista Nase More, 2026 Artificial Intelligence (AI) has become an increasingly relevant technological component in the digital transformation of ports, supporting improvements in operational efficiency, safety and environmental performance. In recent years, several literature reviews have examined AI applications in maritime and port-related contexts; however, these studies typically focus on specific dimensions, such as safety and risk management, smart port development, or individual Machine Learning techniques. Consequently, a consolidated and application-oriented overview explicitly centered on port management and operations remains limited. This study addresses this gap by conducting a systematic literature review aimed at synthesizing current scientific evidence on the application of AI in port management and operational activities, while identifying emerging research gaps. The review follows the PRISMA protocol and analyses 30 peer-reviewed journal articles published between 2021 and early 2025. The results indicate that AI is predominantly applied in operational areas such as vessel arrival forecasting and scheduling, berth and quay crane allocation, container handling and predictive maintenance. Machine Learning and Deep Learning approaches are the most frequently adopted and exhibit higher levels of empirical validation. Reported outcomes include improvements in operational efficiency, enhanced decision-support accuracy and reductions in environmental impact. Despite these advances, the literature highlights persistent challenges related to data availability and quality, system interoperability, cybersecurity and the adaptation of AI solutions to heterogeneous port environments. The study concludes that, while AI adoption in ports is progressing beyond experimental stages, further empirical research and structured implementation strategies are required to support scalable and secure deployment across different port contexts.
Oceanic Circuits in Portuguese America (between the Eighteenth and the Beginning of the Nineteenth Centuries): Mapping Political Communication through the Digital Humanities Renata Silva Fernandes, Valéria Pequeno, Andréa Slemian, Roberta Stumpf Digital Studies Le Champ Numerique, 2024 The aim of this article is to present and discuss the creation process of the Oceanic Circuits database, centred on the mapping and analysis of petitions sent from Portuguese America to the Conselho Ultramarino (Overseas Council) and the Secretário de Estado da Marinha e do Ultramar (Secretary of State of the Navy and Overseas Territories) between 1736 and 1808. It proposes a reflection on the theoretical and methodological possibilities resulting from interdisciplinary dialogue between the areas of History and Data Systems. Initially, we present the historical sources held in the Arquivo Histórico Ultramarino (Overseas Historical Archive) in Lisbon that were selected for the research with the purpose of evidencing some of the main questions covered in the study, both in historiographic terms and in relation to the quantity and complexity of the data involved. Following this, we discuss the database pilot project, which was developed using a low code tool, signalling the potentials and limits of the application used. Finally, we look at the database specifically developed for an interdisciplinary team, discussing relevant aspects, as well as some of its characteristics. L'objectif de cet article est de présenter et de discuter le processus de création de la base de données Oceanic Circuits, centrée sur la cartographie et l'analyse des pétitions envoyées depuis l'Amérique portugaise au Conselho Ultramarino (Conseil d'Outre-Mer) et au Secretário de Estado da Marinha e do Ultramar (Secrétaire d'État de la Marine et des Territoires d'Outre-Mer) entre 1736 et 1808. Il propose une réflexion sur les possibilités théoriques et méthodologiques découlant du dialogue interdisciplinaire entre les domaines de l'Histoire et des Systèmes de données. Dans un premier temps, nous présentons les sources historiques conservées à l'Arquivo Histórico Ultramarino (Archives Historiques d'Outre-Mer) à Lisbonne, sélectionnées pour la recherche, afin de mettre en évidence certaines des principales questions abordées dans l'étude, tant en termes historiographiques qu'en relation avec la quantité et la complexité des données impliquées. Ensuite, nous discutons le projet pilote de la base de données, développé à l'aide d'un outil low code, en signalant les potentialités et les limites de l'application utilisée. Enfin, nous abordons la base de données spécifiquement développée pour une équipe interdisciplinaire, en discutant les aspects pertinents ainsi que certaines de ses caractéristiques.
Publication and maintenance of RDB2RDF views externally materialized in enterprise knowledge graphs Vania Vidal, Valéria Magalhães Pequeno, Narciso Moura Arruda Júnior, Marco Antonio Casanova International Journal of Web Information Systems, 2022 Purpose Enterprise knowledge graphs (EKG) in resource description framework (RDF) consolidate and semantically integrate heterogeneous data sources into a comprehensive dataspace. However, to make an external relational data source accessible through an EKG, an RDF view of the underlying relational database, called an RDB2RDF view, must be created. The RDB2RDF view should be materialized in situations where live access to the data source is not possible, or the data source imposes restrictions on the type of query forms and the number of results. In this case, a mechanism for maintaining the materialized view data up-to-date is also required. The purpose of this paper is to address the problem of the efficient maintenance of externally materialized RDB2RDF views. Design/methodology/approach This paper proposes a formal framework for the incremental maintenance of externally materialized RDB2RDF views, in which the server computes and publishes changesets, indicating the difference between the two states of the view. The EKG system can then download the changesets and synchronize the externally materialized view. The changesets are computed based solely on the update and the source database state and require no access to the content of the view. Findings The central result of this paper shows that changesets computed according to the formal framework correctly maintain the externally materialized RDB2RDF view. The experiments indicate that the proposed strategy supports live synchronization of large RDB2RDF views and that the time taken to compute the changesets with the proposed approach was almost three orders of magnitude smaller than partial rematerialization and three orders of magnitude smaller than full rematerialization. Originality/value The main idea that differentiates the proposed approach from previous work on incremental view maintenance is to explore the object-preserving property of typical RDB2RDF views so that the solution can deal with views with duplicates. The algorithms for the incremental maintenance of relational views with duplicates published in the literature require querying the materialized view data to precisely compute the changesets. By contrast, the approach proposed in this paper requires no access to view data. This is important when the view is maintained externally, because accessing a remote data source may be too slow.
Use of User Generated Content to Support the Creation of Smart Tourist Destinations Manuel Cortes P. Belchior Sousa, Adriana Lopes Fernandes, Valeria Magalhaes Pequeno Iberian Conference on Information Systems and Technologies Cisti, 2021 The Covid-19 pandemic had an unprecedented impact on the tourism industry. It is believed that the recovery of the sector goes through a strong investment in technologies that allow creating and managing tourists' perception of the virtual image of tourist destinations. This article proposes a discussion about the relevance of User Generated Content (UGC) to reveal the virtual image of a tourist destination, in order to contribute to the creation of a Smart Tourism Destination (STD). The virtual image is studied from the perspective of the public transport system due to the fact that its improvement is one of the objectives of the Tourism of Portugal strategic plan for the creation of a STD in the decade 2017 - 2027. The methodology used was qualitative, through a bibliographical research, in which the key factors of this theme were addressed. After the study carried out it was concluded that the exploration of UGCs can allow managers and regulatory and tourism promoting entities to extract a lot of interesting information about how to take better advantage of the technologies adopted to create value for tourists.
Publishing and consuming semantic views for construction of knowledge graphs Iceis 2020 Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
Ontology-based question answering systems over knowledge bases: A survey Iceis 2020 Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
IoT semantic interoperability: A systematic mapping study Amanda Venceslau, Rossana Andrade, Vânia Vidal, Tales Nogueira, Valéria Pequeno Iceis 2019 Proceedings of the 21st International Conference on Enterprise Information Systems, 2019 The Internet of Things (IoT) is a paradigm in which the Internet connects people and the environment using devices and services that are spread in the user daily routine. In this scenario, different agents, devices and services are able to exchange data and knowledge using a common vocabulary or mappings that represent and integrate heterogeneous sources. This semantic interoperability is facilitated by the Semantic Web that provides consolidated technologies, languages and standards, offering data and platforms interoperability. In this context, this work reviews and analyzes the state-of-the-art of IoT semantic interoperability, investigating and presenting not only which Semantic Web technologies are employed but also the challenges that support the studies in this area of research.
A fuzzy approach for data quality assessment of linked datasets Narciso Arruda, J. Alcântara, V. Vidal, Angelo Brayner, M. Casanova, et al. Iceis 2019 Proceedings of the 21st International Conference on Enterprise Information Systems, 2019 For several applications, an integrated view of linked data, denoted linked data mashup, is a critical requirement. Nonetheless, the quality of linked data mashups highly depends on the quality of the data sources. In this sense, it is essential to analyze data source quality and to make this information explicit to consumers of such data. This paper introduces a fuzzy ontology to represent the quality of linked data source. Furthermore, the paper shows the applicability of the fuzzy ontology in the process of evaluating data source quality used to build linked data mashups.
Medibot: An ontology based chatbot for Portuguese speakers drug’s users Caio Avila, Anderson Calixto, Tulio Rolim, Wellington Franco, Amanda Venceslau, et al. Iceis 2019 Proceedings of the 21st International Conference on Enterprise Information Systems, 2019 Brazil is one of the countries with the highest level of drug consumption in the world. By 2012 about 66% claimed to practice self-medication. Such activity can lead to a wide range of risks, including death from drug intoxication. Studies indicate that a lack of knowledge about drugs and their dangers is one of the main aggravating factors in this scenario. This work aims to universalize access to information about medications and their risks for different user profiles, especially Brazilian and lay users. In this paper, we presented the construction process of a Linked Data Mashup (LDM) integrating the datasets: consumer drug prices, government drug prices and drug’s risks in pregnant from ANVISA and SIDER from BIO2RDF. In addition, this work presents MediBot, an ontology-based chatbot capable of responding to requests in natural language in Portuguese through the instant messenger Telegram, smoothing the process to query the data. MediBot acts like a native language query interface on an LDM that works as an abstraction layer that provides an integrated view of multiple heterogeneous data sources.
Towards semi-automatic generation of R2R mappings Valéria M. Pequeno, Vânia M. P. Vidal, Tiago Vinuto Iceis 2018 Proceedings of the 20th International Conference on Enterprise Information Systems, 2018 Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping
Computing Changesets for RDF Views of Relational Data Ceur Workshop Proceedings, 2017
Framework for Live Synchronization of RDF Views of Relational Data Vânia M. P. Vidal, Narciso Arruda, Matheus Cruz, Marco A. Casanova, Valéria M. Pequeno, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
Using changesets for incremental maintenance of linkset views Vânia M. P. Vidal, Marco A. Casanova, Elisa S. Menendez, Narciso Arruda, Valeria M. Pequeno, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Rubya: A tool for generating rules for incremental maintenance of RDF views Vânia M. P. Vidal, Marco A. Casanova, Valéria M. Pequeno, Narciso Arruda, Diego Sá, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Using Correspondence Assertions to specify the semantics of views in an object-relational data warehouse Iceis 2005 Proceedings of the 7th International Conference on Enterprise Information Systems, 2005
A formal model for object-relational databases Iceis 2003 Proceedings of the 5th International Conference on Enterprise Information Systems, 2003
Using full match classes for self-maintenance of mediated views Iceis 2002 Proceedings of the 4th International Conference on Enterprise Information Systems, 2002
