Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
D. Wolosiuk, A. Mahdavi:
"Application of Ontologically Structured Data for Building Performance Analysis";
Vortrag: SIMAUD2020,
TU Wien, Wien, Österreich (COVID19-bedingt: Webconference);
25.05.2020
- 26.05.2020; 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 (Hrg.);
SIMAUD / The Society for Modeling and Simulation International,
(2020),
ISBN: 978-1565553712;
Paper-Nr. 297-302,
6 S.
Kurzfassung deutsch:
(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
Kurzfassung englisch:
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
Schlagworte:
Ontology; building performance data; performance simulation
Elektronische Version der Publikation:
http://www.simaud.org/proceedings/
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.