Tan Terence, Bagó Balázs, Busch Sebastian, Duyme Renaud, Gaisné Guillaume, González Beltrán Alejandra Noemí, Görzig Heike, Koumoutsos Giannis, Krahl Rolf, Millar Paul, Minotti Carlo, Nentwich Melanie, Schrettner Lajos, Syder Kirsty, Rocca-Serra Philippe, Sansone Susanna Assunta, Collins Stephen P
University of Oxford, Oxford e-Research Centre (OeRC), Keble Road, Oxford OX1 3QG, United Kingdom.
ELI-HU Research and Development Non-Profit, Wolfgang Sandner utca 3, H-6728 Szeged, Hungary.
J Synchrotron Radiat. 2025 Sep 1;32(Pt 5):1361-1369. doi: 10.1107/S1600577525005272. Epub 2025 Jul 30.
The Photon and Neutron Experimental Techniques (PaNET) ontology was released in 2021 as an ontology for two major European research infrastructure communities. It provides a standardized taxonomy of experimental techniques employed across the photon and neutron scientific domain, and is part of a wider effort to apply the FAIR (findable, accessible, interoperable, reusable) principles within the community. Specifically, it is used to enhance the quality of metadata in photon and neutron data catalogue services. However, PaNET currently relies on a manual definition approach, which is time consuming and incomplete. A new structure of PaNET is proposed to address this by including logical frameworks that enable automatic reasoning as opposed to the manual approach in the original ontology, resulting in over a hundred new technique subclass relationships that are currently missing in PaNET. These new relationships, which are evaluated by the PaNET working group and other domain experts, will improve data catalogue searches by connecting users to more relevant datasets, thereby enhancing data discoverability. In addition, the results of this work serve as a validation mechanism for PaNET, as the very process of building the logical frameworks, as well as any incorrect inferences made by the reasoner, has exposed existing issues within the original ontology.
光子与中子实验技术（PaNET）本体于2021年发布，是面向欧洲两个主要研究基础设施社区的本体。它提供了光子和中子科学领域所采用实验技术的标准化分类法，并且是在该社区内应用FAIR（可查找、可访问、可互操作、可重用）原则的更广泛努力的一部分。具体而言，它用于提高光子和中子数据编目服务中元数据的质量。然而，PaNET目前依赖于手动定义方法，既耗时又不完整。提出了一种新的PaNET结构来解决这一问题，即纳入逻辑框架以实现自动推理，这与原始本体中的手动方法不同，从而产生了PaNET目前缺失的一百多个新技术子类关系。这些新关系经PaNET工作组和其他领域专家评估，将通过将用户与更相关的数据集相连来改善数据编目搜索，从而提高数据的可发现性。此外，这项工作的结果可作为PaNET的一种验证机制，因为构建逻辑框架的过程以及推理器做出的任何错误推断都暴露了原始本体中存在的问题。
