Managing interrelated project information in AEC Knowledge Graphs

Rasmussen, Mads Holten; Lefrançois, Maxime; Pauwels, Pieter; Hviid, Christian Anker; Karlshøj, Jan

doi:10.1016/j.autcon.2019.102956

Cited by 57 publications

(20 citation statements)

References 26 publications

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“…These existing ontologies include BOT, OMG, FOG, BuildingElement and BPO (Section 2.4); a non-exhaustive list which can be easily extended with other ontologies, should the need rise within a specific project. Extension options include, amongst others, the Damage Topology Ontology (DOT) ( [37]) for indicating damage patterns and the Ontology for Property Management (OPM) ( [38,39]) for linking building objects with properties that change over time. The STG vocabulary includes new definitions as well as extensions (subclasses and subproperties) of existing vocabularies.…”

Section: The Scan-to-graph Methodsmentioning

confidence: 99%

Scan-to-graph: Semantic enrichment of existing building geometry

Werbrouck

Pauwels

Bonduel

et al. 2020

Automation in Construction

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Building Information Modelling (BIM) has changed the way in which buildings are conceived, planned and executed. Apart from their frequent use for as-planned buildings, BIM authoring tools have now been adopted for a number of years for digitising existing buildings as well, mostly by performing a 'scan-to-BIM' process: the creation of a BIM model, primarily based on point clouds. However, some inherent characteristics of existing buildings are complicating such a process: uncertainties, geometric irregularities, classification of heritage building components, linking sources about the real-world asset and an interdisciplinarity that may go beyond traditional Architecture, Engineering and Construction (AEC) topics (e.g. heritage, Facility Management, sensor data and damage assessment). In this paper, a framework called 'scan-to-graph' (STG) is proposed to integrate the concepts of scan-to-BIM with Semantic Web technologies, as these could provide answers to the above-mentioned challenges, most notably on documentation of uncertainties, sources and modelling decisions, element classification and cross-discipline information linking. In order to test the STG concept, a use case was developed where the Audience Room of the Gravensteen castle in Ghent was reconstructed from point clouds, semantically enriched and stored as an RDF graph. The resulting graph contains multiple interlinked geometry types, metadata about the reconstruction process and the sources and allows to unambiguously refer to other contextual data on the Web.

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Section: The Scan-to-graph Methodsmentioning

confidence: 99%

Scan-to-graph: Semantic enrichment of existing building geometry

Werbrouck

Pauwels

Bonduel

et al. 2020

Automation in Construction

Self Cite

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“…Among others, it aligns with the ontology for units of measure (OM) [17] and the ontology for Quantity Kinds, Units and Datatypes 1 (QUDT), which both provide an extensive list of physical properties in OWL. SSN also aligns with domain-specific ontologies, like the Building Topology Ontology (BOT) [16]. In particular, a range of ontologies derived from the Smart Appliance Reference (SAREF) ontology is currently under construction 2 .…”

Section: Ontologies For the Web Of Things: State-of-the-artmentioning

confidence: 99%

On Modeling the Physical World as a Collection of Things: The W3C Thing Description Ontology

Charpenay¹,

Käbisch

2020

The Semantic Web

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“…However, some of the recent practical applications of SWT in AEC will be presented here. Rasmussen et al (2019) created an Ontology for Property Management (OPM), for modelling complex properties in the design environment. They focused on answering competency questions when designing their ontology.…”

Section: Swt In Aecmentioning

confidence: 99%

“…Furthermore, they proposed an API to query their ontology and retrieve design data. In general, Rasmussen et al (2019) concluded that "SWT can be used to cope with the highly interrelated and rapidly changing design decisions when developing a construction project". Kuster et al (2020) created an ontology for urban district sustainability assessment (UDSA), in which, they incorporated Internet of Things (IoT) technologies.…”

Section: Swt In Aecmentioning

confidence: 99%

Whole Life Cycle Construction Information Flow using Semantic Web Technologies: A Case for Infrastructure Projects

Alani¹,

Dawood

Rodríguez

et al. 2020

CIB W78 Proceedings

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The construction industry is considered to be lagging behind other industries in terms of the technological advancement. One of the main factors is the lack of integration of incoherent and heterogeneous data on a project level. Whilst the adoption of Building Information Modelling (BIM) technologies and processes was aimed to solve integration issues. The interoperability is still a problem to solve, as most information and data fields show inconsistencies in a number of cases. One of the aspects of the problem is that IFC EXPRESS schema is only machine readable, requires extensive mappings, and usually does not support infrastructure domains other than buildings. This research explores the possibility of utilising Semantic Web Technologies (SWT) to help achieving some of the desired goals of data interoperability and Whole Life Cycle (WLC) information flow. SWT support the creation of comprehensive, layered, shared, human and machines readable, and extendable knowledge repositories dubbed ontologies. The Resource Description Framework (RDF) which forms the core of SWT provides a rather elegant way of modelling datasets, that is, assigning an Internationalised Resource Identifier (IRI) to each class, instance, and property. SWT are ought to provide better information retrieval and inferencing than current systems used in the industry. The main objective of this paper is to present a framework to demonstrate how SWT can underpin WLC information flow in water infrastructure projects case study.

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Managing interrelated project information in AEC Knowledge Graphs

Cited by 57 publications

References 26 publications

Scan-to-graph: Semantic enrichment of existing building geometry

Scan-to-graph: Semantic enrichment of existing building geometry

On Modeling the Physical World as a Collection of Things: The W3C Thing Description Ontology

Whole Life Cycle Construction Information Flow using Semantic Web Technologies: A Case for Infrastructure Projects

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