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Content Provider | ACM Digital Library |
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Author | Buccellato, Aimee P. C. Ferguson, Holly T. Vardeman, Charles F. |
Abstract | The era of "Big Data" 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. |
Starting Page | 67 |
Ending Page | 74 |
Page Count | 8 |
File Format | |
ISBN | 9781510801042 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2015-04-12 |
Publisher Place | San Diego |
Access Restriction | Subscribed |
Subject Keyword | Sustainable data Linked data Owl Pyke Spin Standardization Green scale tool Verification Rif Hci Design Semantic web Rest Algorithms Swirl Machine learning Experimentation Big data Ontological knowledge engine Knowledge based rules Performance Reliability Expert systems Sparaql |
Content Type | Text |
Resource Type | Article |
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