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Demo: Integrating Building Information Modeling and Sensor Observations using Semantic Web

Authors :
Mads Holten Rasmussen
Christian Aaskov Frausing
Christian Anker Hviid
Jan Karlshøj
Source :
Technical University of Denmark Orbit, Rasmussen, M H, Frausing, C A, Hviid, C A & Karlshøj, J 2018, ' Demo: Integrating Building Information Modeling and Sensor Observations using Semantic Web ', Paper presented at 9th International Semantic Sensor Networks Workshop, Monterey, United States, 09/10/2018-09/10/2018 .

Abstract

The W3C Linked Building Data on the Web community group is studying modeling approaches for the built environment using semantic web technologies. One outcome of this effort is a set of proposed ontologies together providing necessary terminology for the Architecture, Engineering, Construction and Operation (AECO) domains. In this paper, we demonstrate an integration between different datasets described using these ontologies in combination with the standard ontology for representing Sensors, Observations, Sampling, Actuation, and Sensor Networks (SSN/SOSA). In combination, the datasets cover the building's overall topology, 2D plan geometry, sensor and actuator locations and a log of their observations. We further suggest an integrated design approach that enables the designers to explicitly express the semantics of the sensors and actuators from the early stages of the project such that they can be carried on to construction and operation.

Details

Database :
OpenAIRE
Journal :
Technical University of Denmark Orbit, Rasmussen, M H, Frausing, C A, Hviid, C A & Karlshøj, J 2018, ' Demo: Integrating Building Information Modeling and Sensor Observations using Semantic Web ', Paper presented at 9th International Semantic Sensor Networks Workshop, Monterey, United States, 09/10/2018-09/10/2018 .
Accession number :
edsair.dedup.wf.001..6731963221bfefc4e2dc269cd67b2f54