Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/64255
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Titel: 
Toward a Data-Driven Performance-Guided Urban Decision-Support Environment
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Zitat: 
Ghiassi, N., Glawischnig, S., Pont, U., & Mahdavi, A. (2014). Toward a Data-Driven Performance-Guided Urban Decision-Support Environment. In I. Linawati, M. S. Mahendra, E. J. Neuhold, A. M. Tjoa, & I. You (Eds.), Information and Communication Technology (pp. 96–107). Springer - Heidelberg New York Dordrecht London. https://doi.org/10.1007/978-3-642-55032-4_10
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Verlags-DOI: 
10.1007/978-3-642-55032-4_10
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Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
de
Autor_innen: 
Ghiassi, Neda 
Glawischnig, Stefan 
Pont, Ulrich 
Mahdavi, Ardeshir 
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Organisations­einheit: 
E259-03 - Forschungsbereich Bauphysik und Bauökologie 
E194-01 - Forschungsbereich Information und Software Engineering 
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Erschienen in: 
Information and Communication Technology 
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ISBN: 
978-3-642-55031-7
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DOI des Buches: 
10.1007/978-3-642-55032-4
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Datum (veröffentlicht): 
2014
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Veranstaltungs­name: 
Information and Communication Technology - Second IFIP TC5/8 International Conference ICT-EurAsia 2014 
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Veranstaltungs­zeitraum: 
14-Apr-2014 - 17-Apr-2014
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Veranstaltungs­ort: 
Bali, Indonesia, Außerhalb der EU
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Umfang: 
12
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Verlag: 
Springer - Heidelberg New York Dordrecht London
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Verlag: 
Springer, Berlin, Heidelberg
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Peer Reviewed: 
Ja
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Keywords: 
Ontologies; Information Systems; GIS; Semantic Web Technologies; Sustainability; Urban planning; Data-Driven Building Performance; Urban Performance
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Abstract: 
none - see english version
de
 
The present contribution briefly represents the structure and main features of SEMERGY, a performance-guided multi-objective building optimization environment, supported by Semantic Web technologies. It establishes the importance of urban-scale performance considerations, discusses particular features of urban data, and suggests a framework to upscale the SEMERGY approach towards development of a data-driven performance-guided urban decision support environment. The suggested task-based ontology framework can facilitate data and knowledge sharing within the domain of urban performance inquiries.
en
Projekttitel: 
Semantic Technologies for Energy-efficient Builduing Planning (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Forschungs­schwerpunkte: 
Environmental Monitoring and Climate Adaptation: 40%
Energy Active Buildings, Settlements and Spatial Infrastructures: 50%
Computer Engineering and Software-Intensive Systems: 10%
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Wissenschafts­zweig: 
Architektur
Bauingenieurwesen
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Enthalten in den Sammlungen:
Conference Paper

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