Kügler P, Marian M, Schleich B, Tremmel S, Wartzack S (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Conference Proceedings Title: 60. Tribologie-Fachtagung 2019. Reibung, Schmierung und Verschleiß. Forschung und praktische Anwendungen
Event location: Online
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.
APA:
Kügler, P., Marian, M., Schleich, B., Tremmel, S., & Wartzack, S. (2020). tribAIn – An ontology for knowledge representation in the domain of tribology. In 60. Tribologie-Fachtagung 2019. Reibung, Schmierung und Verschleiß. Forschung und praktische Anwendungen. Online.
MLA:
Kügler, Patricia, et al. "tribAIn – An ontology for knowledge representation in the domain of tribology." Proceedings of the 60. Tribologie-Fachtagung, Online 2020.
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