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

Mads Holten Rasmussen, Christian Aaskov Frausing, Christian Anker Hviid, Jan Karlshøj

    Research output: Contribution to conferencePaperResearchpeer-review

    360 Downloads (Pure)

    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.
    Original languageEnglish
    Publication date2018
    Number of pages8
    Publication statusPublished - 2018
    Event9th International Semantic Sensor Networks Workshop - Asilomar Conference Grounds, Monterey, United States
    Duration: 9 Oct 20189 Oct 2018
    Conference number: 9
    https://ssn2018.github.io/

    Conference

    Conference9th International Semantic Sensor Networks Workshop
    Number9
    LocationAsilomar Conference Grounds
    Country/TerritoryUnited States
    CityMonterey
    Period09/10/201809/10/2018
    Internet address

    Fingerprint

    Dive into the research topics of 'Demo: Integrating Building Information Modeling and Sensor Observations using Semantic Web'. Together they form a unique fingerprint.

    Cite this