Ontology for Laboratory Tests in Pavement Engineering
DOI: 10.4121/2ca70c47-5c38-4f87-b575-ad3e5a60d723
Datacite citation style
Dataset
This dataset contains the Pavement Laboratory Ontology (PLOnt), developed to formally represent laboratory tests, materials, instruments, and results in pavement engineering. The ontology was designed to improve standardization, interoperability, and reusability of laboratory data across research and practice. It was constructed using an ontology engineering methodology, supported by expert knowledge acquisition and alignment with standards such as NEN 2660 and SOSA. The dataset includes an ontology file and accompanying resources and a template database, capturing classes, properties, relationships, and controlled vocabularies relevant to pavement laboratory testing. It aims to facilitate data integration, improve consistency in test documentation, and support AI-driven applications in pavement engineering.
History
- 2025-09-12 first online, published, posted
Publisher
4TU.ResearchDataFormat
Spreadsheet (.xlsx) Ontology file (.ttl, RDF/Turtle) Documentation (.pptx, .pdf if included)Organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Engineering Structures, Section of Pavement EngineeringDATA - restricted access
Reason
This dataset contains a structured template for ontology development in the pavement laboratory domain. Access is restricted because the dataset is still under development and is closely linked to ongoing research projects. To avoid misinterpretation and ensure correct use, access will be granted only to researchers who request it and agree to comply with the specified license conditions.
End User Licence Agreement
By accessing this dataset, the user agrees to the following conditions:
• The dataset may only be used for academic and non-commercial research purposes.
• Redistribution of the dataset in whole or in part is not permitted.
• Users must cite the dataset as: PLOnt (Pavement Laboratory Ontology), 4TU.ResearchData
• Any modifications or derivative works must clearly acknowledge the original source.
• Access may only be granted with prior approval from the dataset owner.
Your request will be sent to the owner of the dataset.





