Data Digitalization and Conformity Verification in Oil and Gas Industry Databooks Using Semantic Model Based on Ontology

Mario Nascimento Marques Junior, Eder Mateus Nunes Gonçalves, Silvia Botelho, Emanuel Estrada

2023

Abstract

Databooks are essential for monitoring and validating construction projects in the oil industry, containing crucial information like quality certificates and technical reports. However, manual analysis of these databooks is time-consuming, labor-intensive, and error-prone. This study proposes an intelligent system to streamline databook search and validation, enhancing efficiency and accuracy. Developing a valid conceptual model for databooks and their components presents a significant challenge. To overcome this, we focus on acquiring semantics for databooks and utilizing a semantic model for compliance checks. We introduce an ontology designed specifically for verifying completeness and compliance in Brazilian oil industry documents, encompassing domain knowledge and verification processes. Using the Methontology methodology, we create the ontology and integrate it with an annotation tool to validate its ability to incorporate semantic structures and facilitate compliance verification. Comparative analysis with manual verification by experts shows identical outcomes, confirming the effectiveness of the automated compliance checking process. The ontology-based approach offers advantages such as time savings, enhanced accuracy, and simplified work for specialists. This study contributes to oil industry document analysis by providing a semantic model that streamlines databook verification, with potential applications for compliance verification of complex documents in various domains.

Paper Citation

in Harvard Style

Nascimento Marques Junior M., Gonçalves E., Botelho S. and Estrada E. (2023). Data Digitalization and Conformity Verification in Oil and Gas Industry Databooks Using Semantic Model Based on Ontology. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 180-187. DOI: 10.5220/0012176700003543

in Bibtex Style

@conference{icinco23,
author={Mario Nascimento Marques Junior and Eder Mateus Nunes Gonçalves and Silvia Botelho and Emanuel Estrada},
title={Data Digitalization and Conformity Verification in Oil and Gas Industry Databooks Using Semantic Model Based on Ontology},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={180-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012176700003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Data Digitalization and Conformity Verification in Oil and Gas Industry Databooks Using Semantic Model Based on Ontology
SN - 978-989-758-670-5
AU - Nascimento Marques Junior M.
AU - Gonçalves E.
AU - Botelho S.
AU - Estrada E.
PY - 2023
SP - 180
EP - 187
DO - 10.5220/0012176700003543
PB - SciTePress