tribAIn - Towards an Explicit Specification of Shared Tribological Understanding

Title data

Kügler, Patricia ; Marian, Max ; Schleich, Benjamin ; Tremmel, Stephan ; Wartzack, Sandro:
tribAIn - Towards an Explicit Specification of Shared Tribological Understanding.
In: Applied Sciences. Vol. 10 (2020) Issue 13 . - 4421.
ISSN 2076-3417
DOI: https://doi.org/10.3390/app10134421

Official URL:

Abstract in another language

Within the domain of tribology, the science and technology for understanding and controlling friction, lubrication, and wear of relatively moving interacting surfaces, countless experiments are carried out and their results are published worldwide. Due to the variety of test procedures and a lack of consistency in the terminology as well as the practice of publishing results in the natural language, accessing and reusing tribological knowledge is time-consuming and experiments are hardly comparable. However, for the selection of potential tribological pairings according to given requirements and to enable comparative evaluations of the behavior of different tribological systems or testing conditions, a shared understanding is essential. Therefore, we present a novel ontology tribAIn (derived from the ancient Greek word “tribein” (= rubbing) and the acronym “AI” (= artificial intelligence)), designed to provide a formal and explicit specification of knowledge in the domain of tribology to enable semantic annotation and the search of experimental setups and results. For generalization, tribAIn is linked to the intermediate-level ontology EXPO (ontology of scientific experiments), supplemented with subject-specific concepts meeting the needs of the domain of tribology. The formalization of tribAIn is expressed in the W3C standard OWL DL. Demonstrating the ability of tribAIn covering tribological experience from experiments, it is applied to a use case with heterogeneous data sources containing natural language texts and tabular data.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Institutions of the University:	Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg Profile Fields > Advanced Fields > Advanced Materials Profile Fields > Emerging Fields > Energy Research and Energy Technology Faculties Faculties > Faculty of Engineering Science Profile Fields Profile Fields > Advanced Fields Profile Fields > Emerging Fields Faculties > Faculty of Engineering Science > Former Professors
Result of work at the UBT:	No
DDC Subjects:	600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited:	14 Sep 2020 09:32
Last Modified:	12 Jul 2023 07:45
URI:	https://eref.uni-bayreuth.de/id/eprint/56897