Automated Compliance Checks for Construction, Renovation or Demolition Works

Risultati finali

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 Format

The 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 Model

Documentation 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 Specification

The 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 Report

The 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)

Pubblicazioni

Leveraging Word Embeddings and Transformers to Extract Semantics from Building Regulations Text

Autori: Odinakachukwu Okonkwo, Amna Dridi and Edlira Vakaj
Pubblicato in: Linked Data in Architecture and Construction (LDAC) , 2023
Editore: BCU

Semantic bSDD: Improving the GraphQL, JSON and RDF Representations of buildingSmart Data Dictionary

Autori: Vladimir Alexiev, Mihail Radkov, Nataliya Keberle
Pubblicato in: Linked Data in Architecture and Construction (LDAC 2023), CEUR-WS Proceedings, 2023
Editore: Ontotext

Modular Knowledge integration for Smart Building Digital Twins

Autori: Fatokun, Isaac; Sheela, Arun, Raveendran Nair; Mecharnia, Thamer; Lefrançois, Maxime; Charpenay, Victor; Badeig, Fabien; Zimmermann, Antoine
Pubblicato in: https://hal-emse.ccsd.cnrs.fr/emse-04086955, 2023

Etude analytique d’ontologies pour le project ACCORD

Autori: Thamer Mecharnia, Maxime Lefrançois, Antoine Zimmermann et Mihaela Juganaru
Pubblicato in: BIM computationnel, des données vers l’IA : Ingénierie & architecture, enseignement & recherche., 2023
Editore: IMT

Risultati finali

Pubblicazioni

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