DogOnt as a viable seed for semantic modeling of AEC/FM

Tracking #: 1622-2834

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Authors: 
Dario Bonino
Luigi De Russis

Responsible editor: 
Guest Editors ST Built Environment 2017

Submission type: 
Ontology Description
Abstract: 
Energy consumption and performance assessment of Smart Cities must consider different levels, various sub-domains, and several stakeholders. A comprehensive energy profile of a city, in fact, should work at the city, district, and building levels. At the same time and for each level, it should take into account both electrical and thermal consumptions, and gather these information from a plethora of different stakeholders (i.e., citizens, utilities, policy makers, and energy providers) and sensors. Current modeling approaches for this context address each level and domain separately, thus preventing a structured and comprehensive approach to a unified energy representation. Moreover, current approaches make difficult to keep the consistency between the energetic data through levels, sub-domains and across stakeholders. Starting from an analysis of ontologies at the state-of-the-art, this paper shows how DogOnt can be used as a foundation towards a shared and unified model for such a context. DogOnt was firstly developed in 2008 and withstand over 8 years of usage without major failures and shortcomings. We discuss successful design choices and adaptations, which kept the model up-to-date and increasingly adopted in domains ranging from home automation to energy representation in Smart Cities.
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