<div class="csl-bib-body">
<div class="csl-entry">Ahmeti, A., Sunguroglu Hensel, D., Pruski, C., Tyc, J. M., & Hensel, M. (2025). An Ontology-driven Approach for Integrating Heterogeneous Data Sources to Enhance Urban Biodiversity and Sustainable Building Design. In P. Pauwels, M. Poveda-Villalón, & W. Terkaj (Eds.), <i>Proceedings of the 13th Linked Data in Architecture and Construction Workshop co-located with the 42nd International CIB W78 Conference on IT in Construction (EC3-CIB W78 2025)</i> (pp. 151–165). CEUR Workshop Proceeedings.</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/222416
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dc.description.abstract
Urban biodiversity is essential for sustainable cities, as it helps address the challenges of environmental degradation, ecosystem loss, species decline, and increased vulnerability to climate hazards, which negatively affect humanhealth and well-being. ECOLOPES (ECOlogical building enveloPES) aims to develop a design approach for multi-species as stakeholders to achieve regenerative urban ecosystems. Integrating the diverse data required for stakeholders and beyond—spanning life sciences, geography, and architecture—and utilizing it for design presents a significant challenge. This paper introduces an innovative ontology-driven approach that integrates diverse data sources, enabling ecologists and architects to design sites and buildings that foster urban biodiversity. The proposed ontology, developed in collaboration with domain experts and adhering to Semantic Web best practices, serves as a mediator between life sciences data (e.g., species distribution and habitats) and geometric information (e.g., maps, voxel models of building structures). This integration enables the adaptation of site, buildings and geometries respectively to create habitats that attract and support urban wildlife, contributing to ecological sustainability. The paper illustrates the practical utility of the ontology through a case study, highlighting its role in guiding building designs that promote species attractiveness and urban biodiversity.
en
dc.language.iso
en
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dc.subject
Urban Biodiversity
en
dc.subject
Sustainable Building Design
en
dc.subject
Ontology-based Data Access
en
dc.subject
knowledge graphs
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dc.title
An Ontology-driven Approach for Integrating Heterogeneous Data Sources to Enhance Urban Biodiversity and Sustainable Building Design
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Southeast University, China
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dc.contributor.affiliation
Luxembourg Institute of Science and Technology, Luxembourg
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dc.contributor.editoraffiliation
Eindhoven University of Technology, Netherlands (the)
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dc.contributor.editoraffiliation
Universidad Politécnica de Madrid, Spain
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dc.contributor.editoraffiliation
National Research Council, Italy
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dc.relation.issn
1613-0073
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dc.description.startpage
151
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dc.description.endpage
165
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dc.rights.holder
Technische Universität Wien
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 13th Linked Data in Architecture and Construction Workshop co-located with the 42nd International CIB W78 Conference on IT in Construction (EC3-CIB W78 2025)
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tuw.relation.publisher
CEUR Workshop Proceeedings
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tuw.researchTopic.id
A2
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tuw.researchTopic.id
A1
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tuw.researchTopic.id
I4
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tuw.researchTopic.name
Urban and Regional Transformation
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tuw.researchTopic.name
Development and Advancement of the Architectural Arts
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
25
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tuw.researchTopic.value
25
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E259-01 - Forschungsbereich Digitale Architektur und Raumplanung
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tuw.publication.orgunit
E057-16 - Fachbereich Center for Geometry and Computational Design
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tuw.publication.orgunit
E280-09 - Forschungsbereich Stadtkultur und Öffentlicher Raum SKuOR
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dc.description.numberOfPages
15
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tuw.author.orcid
0000-0003-2968-6432
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tuw.author.orcid
0000-0002-2103-0431
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tuw.author.orcid
0000-0002-3841-8360
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tuw.author.orcid
0000-0001-5899-5643
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tuw.editor.orcid
0000-0001-8020-4609
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tuw.editor.orcid
0000-0001-8902-361X
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tuw.event.name
LDAC2025 : 13th Linked Data in Architecture and Construction Workshop