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- research-articleFebruary 2024
O3PO: A domain ontology for offshore petroleum production plants
- Nicolau O. Santos,
- Fabrício H. Rodrigues,
- Daniela Schmidt,
- Régis K. Romeu,
- Givanildo Nascimento,
- Mara Abel
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFhttps://doi.org/10.1016/j.eswa.2023.122104AbstractThe challenge of integrating data from many data sources has persisted as an issue in several industry areas. With the evolution of technology in the upstream petroleum sector (i.e., exploration and production), the petroleum business must ...
Highlights- O3PO is a domain ontology for offshore petroleum production plants based on BFO.
- It allows modeling equipment properties, functional decomposition and connections.
- It was validated with data and use cases from Mero Field in Brazil’...
- research-articleMarch 2024
GeoFault: A well-founded fault ontology for interoperability in geological modeling
AbstractGeological modeling currently uses various computer-based applications. Data harmonization at the semantic level using ontologies is essential to make these applications interoperable. Since geo-modeling is part of several multidisciplinary ...
Highlights- Highlight 1: Modeling the descriptive knowledge related to geological faults.
- Highlight 2: GeoFault is based on the top-level ontology BFO and on the core ontology GeoCore.
- Highlight 3: An ontological analysis of the concept of ...
- ArticleNovember 2023
On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies
- Fabrício H. Rodrigues,
- Alcides G. Lopes,
- Nicolau O. dos Santos,
- Luan F. Garcia,
- Joel L. Carbonera,
- Mara Abel
AbstractIn this paper, we report an experiment to investigate the performance of ChatGPT in the task of classifying domain terms according to the categories of upper-level ontologies. The experiment consisted of (1) starting a conversation in ChatGPT with ...
- review-articleAugust 2023
A study on cloud and edge computing for the implementation of digital twins in the Oil & Gas industries
- Francisco Paiva Knebel,
- Rafael Trevisan,
- Givanildo Santana do Nascimento,
- Mara Abel,
- Juliano Araujo Wickboldt
Computers and Industrial Engineering (CINE), Volume 182, Issue Chttps://doi.org/10.1016/j.cie.2023.109363AbstractIn the Oil and Gas industry, minor accidents can negatively affect people, the environment, and the enterprise on a grand scale. For this type of business, it is crucial to have adequate monitoring and maintenance operational routines. The ...
Highlights- In Oil and Gas, minor accidents impact people, the environment, and the enterprise.
- Digital Twins are capable of monitoring objects in real-time, predicting their state.
- This paper inspects the current state of digital twin ...
- review-articleApril 2023
Data management in digital twins: a systematic literature review
Knowledge and Information Systems (KAIS), Volume 65, Issue 8Pages 3165–3196https://doi.org/10.1007/s10115-023-01870-1AbstractThe Internet of Things (IoT) and continuous advances in data-gathering devices and techniques have significantly increased the amount of relevant data that can be leveraged for innovative real-time, data-driven applications. Digital Twins (DTs) ...
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- research-articleApril 2023
Using terms and informal definitions to classify domain entities into top-level ontology concepts: An approach based on language models
AbstractThe classification of domain entities into top-level ontology concepts remains an activity performed manually by an ontology engineer. Although some works focus on automating this task by applying machine-learning approaches using ...
- research-articleMarch 2023
Data Visualization for Digital Twins
- João L. D. Comba,
- Nicolau O. Santos,
- Jonathan C. Rivera,
- Regis K. Romeu,
- Mara Abel,
- Rita Borgo,
- Kelly Gaither
Computing in Science and Engineering (IEEECS_CISE-NEW), Volume 25, Issue 2Pages 58–63https://doi.org/10.1109/MCSE.2023.3295968Visualization techniques are useful in the analysis and insight generation for applications in computing in science and engineering. In this article, we describe the importance of visualization to a digital twin (DT), a virtual representation of a ...
- ArticleOctober 2022
“All the Things that Come and Go, Stop and Say Hello": Towards an ontological account of how participants enter and exit events
AbstractThis paper presents an ontological account for how participants enter or exit events, based on a view of events as delimited by systems. With that, we introduce the notions of engaging and disengaging event as the events through which (...
- research-articleOctober 2022
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning▪
Expert Systems with Applications: An International Journal (EXWA), Volume 203, Issue Chttps://doi.org/10.1016/j.eswa.2022.117291AbstractOntology development is a challenging task that encompasses many time-consuming activities. One of these activities is the classification of the domain entities (concepts and instances) according to top-level concepts. This activity is ...
Highlights- Word embedding and deep learning can be used to predict top-level ontology classes.
- research-articleFebruary 2022
GeoReservoir: An ontology for deep-marine depositional system geometry description
- Fernando Cicconeto,
- Lucas Valadares Vieira,
- Mara Abel,
- Renata dos Santos Alvarenga,
- Joel Luis Carbonera,
- Luan Fonseca Garcia
AbstractAn ontology is a logical theory that accounts for a domain vocabulary’s intended meaning, allowing us to develop a computational artifact that explicitly and formally represents the community’s conceptualization related to a ...
Highlights- We provide a domain ontology for deep-marine depositional system geometry description.
- research-articleJanuary 2021
A faster and less aggressive algorithm for correcting conservativity violations in ontology alignments
Ontologies are computational artifacts that model consensual aspects of reality. In distributed contexts, applications often need to utilize information from several distinct ontologies. In order to integrate multiple ontologies, entities modeled in each ...
- ArticleNovember 2020
Upper-Level Types of Occurrent Based on the Principle of Ontological Conservation
AbstractOntologies are usually focused on describing the things that exist in time (i.e., continuants, objects), but the things that happen (i.e., occurrents, processes, events) also play an important role in representing the world. This paper explores ...
- ArticleOctober 2020
A Density-Based Prototype Selection Approach
AbstractDue to the increasing size of the datasets, prototype selection techniques have been applied for reducing the computational resources involved in data mining and machine learning tasks. In this paper, we propose a density-based approach for ...
- research-articleFebruary 2020
The GeoCore ontology: A core ontology for general use in Geology
AbstractDomain ontologies assume the role of representing, in a formal way, a consensual knowledge of a community over a domain. This task is especially difficult in a wide domain like Geology, which is composed of diversified science resting ...
Highlights- We provide a core ontology for a general use in Geology.
- The ontology ...
- ArticleNovember 2019
What Rocks Are Made of: Towards an Ontological Pattern for Material Constitution in the Geological Domain
AbstractWe propose an ontological pattern for dealing with the material constitution relation in Geology domain. This is important because geologists are often interested only in properties that are dependent to the matter (the rock, the minerals) or to ...
- research-articleJanuary 2019
What to consider about events: A survey on the ontology of occurrents
This work presents a review of the ideas that are currently in use on the ontology-based conceptual modeling of occurrents (sometimes referred to as “events”, “perdurants”, or “processes”). It collects such ideas from a set of 11 ontologies, which ...
- ArticleSeptember 2018
An Efficient Prototype Selection Algorithm Based on Spatial Abstraction
AbstractNowadays, machine learning and data mining approaches have been applied in huge volumes of data. In order to deal with this big data, techniques for prototype selection have been applied for reducing the data to a manageable volume and, ...
- ArticleJune 2018
An Efficient Prototype Selection Algorithm Based on Dense Spatial Partitions
AbstractIn order to deal with big data, techniques for prototype selection have been applied for reducing the computational resources that are necessary to apply data mining approaches. However, most of the proposed approaches for prototype selection have ...
- articleJanuary 2017
A Conceptual Framework for Rock Data Integration in Reservoir Models Based on Ontologies
International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Volume 5, Issue 1Pages 71–82https://doi.org/10.4018/IJMSTR.2017010104In the domain of E&P petroleum chain, the authors have developed a study and proposed a conceptual framework for inserting direct rock data into reservoir models, through calibration of well logs. This type of data is often ignored or manual processed ...
- ArticleNovember 2015
A Density-Based Approach for Instance Selection
ICTAI '15: Proceedings of the 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI)Pages 768–774https://doi.org/10.1109/ICTAI.2015.114Instance selection is an important preprocessing step that can be applied in many machine learning tasks. Due to the increasing of the size of the datasets, techniques for instance selection have been applied for reducing the data to a manageable volume,...