LOT: An industrial oriented ontology engineering framework

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Poveda-Villalón, María, et al. “LOT: An Industrial Oriented Ontology Engineering Framework”. Engineering Applications of Artificial Intelligence, vol. 111, 2022, p. 104755, https://doi.org/10.1016/j.engappai.2022.104755.
Poveda-Villalón, M., Fernández-Izquierdo, A., Fernández-López, M., & García-Castro, R. (2022). LOT: An industrial oriented ontology engineering framework. Engineering Applications of Artificial Intelligence, 111, 104755. https://doi.org/10.1016/j.engappai.2022.104755
Poveda-Villalón M, Fernández-Izquierdo A, Fernández-López M, García-Castro R. LOT: An industrial oriented ontology engineering framework. Engineering Applications of Artificial Intelligence. 2022;111:104755.
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Science: Science (General): Cybernetics: Information theory8
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Social Sciences2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Physics1
Technology: Engineering (General). Civil engineering (General)1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Medicine: Medicine (General): Medical technology1
Technology: Chemical technology: Chemical engineering1
Science: Chemistry1
Technology1
Science: Geology1
Technology: Home economics: Nutrition. Foods and food supply1
Technology: Chemical technology: Food processing and manufacture1
Agriculture1
Agriculture: Agriculture (General)1
Language and Literature: Philology. Linguistics1
Language and Literature: Philology. Linguistics: Communication. Mass media1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 9 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multi-requirements ontology engineering for automated processing of document-based building codes to linked building data properties and was published in 2022. The most recent citation comes from a 2024 study titled CANDIL: A federated data fabric for network analytics. This article reached its peak citation in 2023, with 11 citations. It has been cited in 15 different journals, 33% of which are open access. Among related journals, the Frontiers in Artificial Intelligence cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year