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tribAIn : An ontology for knowledge representation in the domain of tribology

Title data

Kügler, Patricia ; Marian, Max ; Schleich, Benjamin ; Tremmel, Stephan ; Wartzack, Sandro:
tribAIn : An ontology for knowledge representation in the domain of tribology.
2020
Event: 61. Tribologie-Fachtagung 2020 , 28.-30.09.2020 , Göttingen (Online).
(Conference item: Conference , Paper )

Abstract in another language

The tribAIn ontology aims to formalize knowledge obtained from tribological experiments, for supporting knowledge access and reuse. Due to the isolated and heterogeneous data sources, knowledge management with semantic technologies provide tremendous opportunities over classical databases. Especially the focus on meaning of data instead of the structure of data is suited for knowledge-intensive domains, like tribology. This meaning is formally and explicitly represented by the tribAIn ontology, which provides concepts and definitions for annotating and linking data gained from different sources, like measurement series as tabular data or results interpretation in natural language. From the perspective of an ontology-based application the tribAIn ontology forms the global scheme for querying and accessing the underlying data sources, which are linked by mapping schemes to the ontology. Compared to data warehousing, this makes semantic approaches much more flexible with respect to updating and extension of knowledge bases.

Further data

Item Type: Conference item (Paper)
Refereed: No
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD
Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing Stephan Tremmel
Profile Fields > Advanced Fields > Advanced Materials
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 27 Nov 2020 10:22
Last Modified: 27 Nov 2020 10:22
URI: https://eref.uni-bayreuth.de/id/eprint/60510