Leistungen
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)
Veröffentlichungen
Autoren:
Odinakachukwu Okonkwo, Amna Dridi and Edlira Vakaj
Veröffentlicht in:
Linked Data in Architecture and Construction (LDAC) , 2023
Herausgeber:
BCU
Autoren:
Vladimir Alexiev, Mihail Radkov, Nataliya Keberle
Veröffentlicht in:
Linked Data in Architecture and Construction (LDAC 2023), CEUR-WS Proceedings, 2023
Herausgeber:
Ontotext
Autoren:
Fatokun, Isaac; Sheela, Arun, Raveendran Nair; Mecharnia, Thamer; Lefrançois, Maxime; Charpenay, Victor; Badeig, Fabien; Zimmermann, Antoine
Veröffentlicht in:
https://hal-emse.ccsd.cnrs.fr/emse-04086955, 2023
Autoren:
Thamer Mecharnia, Maxime Lefrançois, Antoine Zimmermann et Mihaela Juganaru
Veröffentlicht in:
BIM computationnel, des données vers l’IA : Ingénierie & architecture, enseignement & recherche., 2023
Herausgeber:
IMT
Suche nach OpenAIRE-Daten ...
Bei der Suche nach OpenAIRE-Daten ist ein Fehler aufgetreten
Es liegen keine Ergebnisse vor