Paper Info
Title
Capturing an architectural knowledge base utilizing rules engine integration for energy and environmental simulations.
Abstract
The era of Big presents new challenges and opportunities to impact how the built environment is designed and constructed. Modern design tools and material databases should be more scalable, reliable, and accessible to take full advantage of the quantity of available building data. New approaches providing well-structured information can lead to robust decision support for architectural simulations earlier in the design process; rule-based decision engines and knowledge bases are the link between current data and useful decision frameworks. Integrating distributed API-based systems means that material data silos existing in modern tools can become enriched and extensible for future use with additional data from building documents, other databases, and the minds of design professionals. The PyKE rules engine extension to the Green Scale (GS) Tool improves material searches, creates the opportunity for incorporating additional rules via a REST interface, and enables integration with the Semantic Web via Linked Data principles.
Year
Venue
Field
2015
SpringSim (SimAUD)
Data science,Semantic reasoner,Computer science,Expert system,Decision support system,Semantic Web,Linked data,Engineering design process,Knowledge base,Big data
DocType
Citations 
PageRank 
Conference
3
0.57
References 
Authors
6
3
Name
Order
Citations
PageRank
Holly T. Ferguson140.93
Charles F. Vardeman II285.24
Aimee P. C. Buccellato340.93