Proposing a Central AEC Ontology That Allows for Domain Specific Extensions

Mads Holten Rasmussen, Pieter Pauwels, Christian Anker Hviid, Jan Karlshøj

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    Abstract

    In the last years, several ontologies focused on structuring domain specific information within the scope of Architecture, Engineering and Construction (AEC) have emerged. Several of these individual ontologies redefine core concepts of a building already specified in the publicly available ontology version of the ISO standardised Industry Foundation Classes (IFC) schema, thereby violating the W3C best practice rule of minimum redundancy. The voluminous IFC schema with origins in a closed world assumption is likewise violating this rule by redefining concepts about time, location, units etc. already available from other sources, and it is furthermore violating the rule of keeping ontologies simple for easy maintenance. Based on all the available ontologies, we propose a simple Building Topology Ontology (BOT) only covering the core concepts of a building, and three methods for extending this with domain specific ontologies. This approach makes it (1) possible to work with a limited set of core building classes, and (2) extend those as needed towards specific domain ontologies that are in hands of business professionals or domain-specific standardisation bodies, such as the European Telecommunications Standards Institute (ETSI), buildingSMART, the Open Geospatial Consortium (OGC), and so forth.
    Original languageEnglish
    Title of host publicationLC3 2017 : Proceedings of the Joint Conference on Computing in Construction
    Volume1
    Publication date2017
    Pages237-244
    ISBN (Print)978-0-9565951-6-4, 978-0-9565951-8-8
    DOIs
    Publication statusPublished - 2017
    Event2017 Lean and Computing in Construction Congress - Heraklion, Greece
    Duration: 4 Jul 20177 Jul 2017

    Conference

    Conference2017 Lean and Computing in Construction Congress
    Country/TerritoryGreece
    CityHeraklion
    Period04/07/201707/07/2017

    Keywords

    • Linked data
    • Building information modelling
    • Web of data
    • Building topology ontology

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