BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240518T213323Z UID:21624981-D8F3-4993-8AAD-7ACA4E738106 DTSTART;TZID=America/Denver:20240513T180000 DTEND;TZID=America/Denver:20240513T200000 DESCRIPTION:Abstract:\n\nThe built environment has a data problem. The buil dings\, cities\, water treatment plants\, and other human-made systems pro duce more data now than ever before\, opening new possibilities of using d ata to optimize operation\, reduce energy consumption\, predict performanc e\, and identify faults. However\, the complexity\, heterogeneity\, and hi gh degree of churn of these systems makes it expensive and difficult to de velop software for them. Models\, control sequences\, data analytics\, and other software-based solutions must often be rewritten from scratch for e ach environment in which they will be deployed. The process of discovering and accessing data is further exacerbated by the lack of standardized str uctured representations of built environment systems. These challenges sig nificantly impede the adoption of data-driven sustainable practices at soc ietal scale.\n\nThis talk will explore the use of semantic knowledge graph s to normalize descriptions of the built environment\, specifically smart buildings\, and reduce the cost of developing and deploying data-driven so ftware in these settings. First\, I will describe how ontologies can const rain knowledge graphs to produce useful abstractions of complex cyber-phys ical systems\, as typified by the Brick ontology for smart buildings. Elem ents of this work are being adapted into new knowledge graph standards for buildings. Next\, I will show how knowledge graphs enable novel programmi ng models for "portable software" where programs can adapt their own opera tion to individual environments\, based on queries against the knowledge g raph. The talk will also show how these emerging use cases for knowledge g raphs contrast with prevailing approaches towards knowledge graph maintena nce and management and give rise to new methods for specifying and repairi ng knowledge graphs. Finally\, I will show how these new technologies enab le novel applications for smart buildings.\n\nSpeaker(s): \, Dr. Fierro\n\ nVirtual: https://events.vtools.ieee.org/m/418393 LOCATION:Virtual: https://events.vtools.ieee.org/m/418393 ORGANIZER:s.mehalingam.us@ieee.org SEQUENCE:23 SUMMARY:Towards Programmable Smart Buildings URL;VALUE=URI:https://events.vtools.ieee.org/m/418393 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="font-variant-caps : normal\; text-align: start\; word-spacing: 0px\;"><span style="font-size : 11.0pt\; color: #212121\;">Abstract:&nbsp\;</span></p>\n<p class="MsoNor mal" style="font-variant-caps: normal\; text-align: start\; word-spacing: 0px\;"><span style="font-size: 11.0pt\; color: #212121\;">The built enviro nment has a data problem. The buildings\, cities\, water treatment plants\ , and other human-made systems produce more data now than ever before\, op ening new possibilities of using data to optimize operation\, reduce energ y consumption\, predict performance\, and identify faults. However\, the c omplexity\, heterogeneity\, and high degree of churn of these systems make s it expensive and difficult to develop software for them. Models\, contro l sequences\, data analytics\, and other software-based solutions must oft en be rewritten from scratch for each environment in which they will be de ployed. The process of discovering and accessing data is further exacerbat ed by the lack of standardized structured representations of built environ ment systems. These challenges significantly impede the adoption of data-d riven sustainable practices at societal scale.</span></p>\n<p class="MsoNo rmal" style="font-variant-caps: normal\; text-align: start\; word-spacing: 0px\;"><span style="font-size: 11.0pt\; color: #212121\;">&nbsp\;</span>< /p>\n<p class="MsoNormal" style="font-variant-caps: normal\; text-align: s tart\; word-spacing: 0px\;"><span style="font-size: 11.0pt\; color: #21212 1\;">This talk will explore the use of semantic knowledge graphs to normal ize descriptions of the built environment\, specifically smart buildings\, and reduce the cost of developing and deploying data-driven software in t hese settings. First\, I will describe how ontologies can constrain knowle dge graphs to produce useful abstractions of complex cyber-physical system s\, as typified by the Brick ontology for smart buildings. Elements of thi s work are being adapted into new knowledge graph standards for buildings. Next\, I will show how knowledge graphs enable novel programming models f or "portable software" where programs can adapt their own operation to ind ividual environments\, based on queries against the knowledge graph. The t alk will also show how these emerging use cases for knowledge graphs contr ast with prevailing approaches towards knowledge graph maintenance and man agement and give rise to new methods for specifying and repairing knowledg e graphs. Finally\, I will show how these new technologies enable novel ap plications for smart buildings.</span></p> END:VEVENT END:VCALENDAR