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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd http://dublincore.org/schemas/xmls/qdc/dcterms.xsd"><dc:language>eng</dc:language><dc:creator>Kirner, Lukas Tobias</dc:creator><dc:contributor>Brell-Cokcan, Sigrid</dc:contributor><dc:contributor>Beetz, Jakob</dc:contributor><dc:title>An ontology-based approach for developing digital process twins in construction</dc:title><dc:subject>info:eu-repo/classification/ddc/720</dc:subject><dc:subject>building information modeling</dc:subject><dc:subject>construction</dc:subject><dc:subject>digital process twins</dc:subject><dc:subject>digital twin</dc:subject><dc:subject>linked data</dc:subject><dc:subject>ontology</dc:subject><dc:subject>robotics</dc:subject><dc:description>The construction industry faces a radical transformation if it is to meet today's social and environmental challenges. This transformation requires significant efficiency and productivity gains. Currently, these gains are hampered by a lack of digitalization and underutilization of digital information throughout the building lifecycle across the construction value chain. One concept that has been observed to address these shortcomings in other sectors is the digital twin. In order to implement this promising solution in the construction industry and to further develop it into a &quot;digital process twin&quot;, an innovative approach is proposed that enables the representation and linking of process information and knowledge for construction processes. The proposed approach advocates an open, independent and dynamically extensible information system based on Linked Data principles and Semantic Web technologies. It enables a dynamic construction process model that can accommodate information feedback, accurately reflect the real-time state of the underlying processes and control automated construction machinery. As a result, the information system can serve as a robust foundation for the digital process twin. Central to this approach is the development of a comprehensive construction process ontology, positioned as a top-level ontology. It acts as a central element that harmonizes construction information, overarching process logics, constraints, and domain-specific process information and knowledge. The knowledge graph that can be modeled as a result serves as a unifying database and information exchange layer for all stakeholders. Hence, it has the potential to underpin future technological advances in automation and artificial intelligence within the construction domain. This thesis addresses the challenges of digitalization and information exchange in construction in a practical manner, culminating in the proposal of an ontology-based approach for the development of digital process twins. In order to increase the impact and usefulness of the concept, it is based on applications and interfaces that are developed and evaluated in practical environments and real-world conditions with the help of demonstrators. These demonstrators are intended to provide implementation examples and prove the feasibility of the approach in different scenarios. The intended outcome of this thesis is to contribute to an improved future construction industry focused on productivity, safety, sustainability and responsiveness in the face of increasing social responsibility and significant technological advances.</dc:description><dc:source>Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2024). doi:10.18154/RWTH-2024-10076 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024</dc:source><dc:type>info:eu-repo/semantics/doctoralThesis</dc:type><dc:type>info:eu-repo/semantics/publishedVersion</dc:type><dc:publisher>RWTH Aachen University</dc:publisher><dc:date>2024</dc:date><dc:rights>info:eu-repo/semantics/openAccess</dc:rights><dc:coverage>DE</dc:coverage><dc:identifier>https://publications.rwth-aachen.de/record/995696</dc:identifier><dc:identifier>https://publications.rwth-aachen.de/search?p=id:%22RWTH-2024-10076%22</dc:identifier><dc:audience>Students</dc:audience><dc:audience>Student Financial Aid Providers</dc:audience><dc:audience>Teachers</dc:audience><dc:audience>Researchers</dc:audience><dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.18154/RWTH-2024-10076</dc:relation></oai_dc:dc>

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