Deliverables
The result of T2.1, describing existing ontologies, standards, and data models in the building data domain relevant to compliance checking, including their overlaps and knowledge gaps.
BCO Ontology and Rules FormatThe Building Compliance Ontology describing concepts and relations required to support automated rule checking in permitting/compliance checking processes and the ruleset database (CU). A technology-neutral format describing rules in building codes in an unambiguous way using terms defined in D2.1 and other public ontologies, such as bSDD.
Technical Requirements Elicitation, Analysis and Cloud Architecture ModelDocumentation of the Technical Requirement Elicitation and Analysis and the Cloud Architecture Model for solutions to be developed in this WP.
ACCORD Framework and User Requirements SpecificationThe ACCORD semantic framework and associated User Requirements Specification, including supporting modelling. Additionally, this report will document specifications for each of the project’s demonstration deployments.
Landscape Review ReportThe landscape review of built environment compliance and permitting, industry survey results, research gaps, potential barriers and enablers. (CU) The state-level process maps of the current compliance/permitting, the laws, regulations, guidance documents and stakeholders. (VTT)
Publications
Author(s):
Odinakachukwu Okonkwo, Amna Dridi and Edlira Vakaj
Published in:
Linked Data in Architecture and Construction (LDAC) , 2023
Publisher:
BCU
Author(s):
Vladimir Alexiev, Mihail Radkov, Nataliya Keberle
Published in:
Linked Data in Architecture and Construction (LDAC 2023), CEUR-WS Proceedings, 2023
Publisher:
Ontotext
Author(s):
Fatokun, Isaac; Sheela, Arun, Raveendran Nair; Mecharnia, Thamer; Lefrançois, Maxime; Charpenay, Victor; Badeig, Fabien; Zimmermann, Antoine
Published in:
https://hal-emse.ccsd.cnrs.fr/emse-04086955, 2023
Author(s):
Thamer Mecharnia, Maxime Lefrançois, Antoine Zimmermann et Mihaela Juganaru
Published in:
BIM computationnel, des données vers l’IA : Ingénierie & architecture, enseignement & recherche., 2023
Publisher:
IMT
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