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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Book Title:
Information and Communication Technology
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Abstract:
none - see english version
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.
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Keywords:
Ontologies; Information Systems; GIS; Semantic Web Technologies; Sustainability; Urban planning; Data-Driven Building Performance; Urban Performance
