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D. Wolosiuk, A. Mahdavi:
"Application of Ontologically Structured Data for Building Performance Analysis";
Talk: SIMAUD2020, TU Wien, Wien, Österreich (COVID19-bedingt: Webconference); 2020-05-25 - 2020-05-26; in: "2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design", A. Chronis, G. Wurzer, W Lorenz, C.M. Herr, U. Pont, D. Cupkova, G. Wainer (ed.); SIMAUD / The Society for Modeling and Simulation International, (2020), ISBN: 978-1565553712; Paper ID 297-302, 6 pages.

Ontologies are developed and deployed to enhance
knowledge and data exchange in a specific field or domain.
For instance, building industry benefits from well-structured
ontologies such as Industry Foundation Classes (IFC) [6] or
green building XML [4] that drive Building Information
Modeling software (BIM). In this context, efforts in building
performance specification and assessment can also benefit
from well-structured ontologies and data schemas. Toward
this end, a recently introduced building performance data
ontology attempts to identify, categorize, and capture the
complexities of building related performance data and its
attributes. The present contribution describes a process
whereby building-related measured or simulated raw data is
"ontologized" toward subsequent utilization

(no german abstract)
Ontologies are developed and deployed to enhance
knowledge and data exchange in a specific field or domain.
For instance, building industry benefits from well-structured
ontologies such as Industry Foundation Classes (IFC) [6] or
green building XML [4] that drive Building Information
Modeling software (BIM). In this context, efforts in building
performance specification and assessment can also benefit
from well-structured ontologies and data schemas. Toward
this end, a recently introduced building performance data
ontology attempts to identify, categorize, and capture the
complexities of building related performance data and its
attributes. The present contribution describes a process
whereby building-related measured or simulated raw data is
"ontologized" toward subsequent utilization

Ontology; building performance data; performance simulation

http://www.simaud.org/proceedings/