ACCORD e-learning hub
The ACCORD e-learning hub provides free online content focused on digital building permits, developed in collaboration with ACCORD partners. The training materials consist of short, engaging videos (5-20 minutes) that offer a comprehensive overview of ACCORD’s key results. These materials are organized into three training packs, each covering the following topics:
- ACCORD Digital Building Permits: Semantics and Rule Formalization Processes
- ACCORD Digital Building Permit Tools and Methodologies for Municipalities and Professionals
- ACCORD Digital Building Permit Pilots: Outcomes for Standardization, Policy Making, and Decision Makers
The training packs will support the activities of the ACCORD webinars series that will run from October/2024 to April/2025.
For more information about the webinars dates and registration links click here
Between October/2024 and April/2025, ACCORD training material will be added to this webpage.
1st training pack: ACCORD Digital Building Permits: Semantics and Rule Formalization Processes
ACCORD AI-RFT tool
AI-powered rule formalisation tool
ACCORD AI-RFT tool converts regulatory information text into machine-readable data. This training material provides an overview of the tools and methodology.
Target group
This training material targets national governments, researchers, Institutions working with building regulation data, architects, and engineers.
Learning objectives
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- Understanding the overall methodology of ACCORD AI-RFT tool including RASE application, Natural Language Processing (NPL) and YAML language.
- Develop awareness about the use cases and applications of this tool.
Authors
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- Hadeel Saadany, Lecture at the Birmingham City University
- Edlira Vakaj, Associated professor at the Birmingham City University
Supporting material
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- Slide deck presentation
- ACCORD AI RFT tool
- Rule toolset
ACCORD AEC3PO
Architecture, Engineering and Construction Compliance Checking and Permitting Ontology model
AEC3PO is a semantic knowledge model providing a unified framework for compliance checking by representing building code in a machine-readable format. This training material provides an overview of the tool and it links with the RASE used in the ACCORD AI-RFT tool.
Target group
This training material targets IT industry professionals, Academic Researchers in the field, Technology developers, and Regulatory Authorities.
Learning objectives
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- Understanding AEC3PO concept
- Develop awareness of the AEC3PO model
- Reflect on AEC3PO model uses.
Author
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- Edlira Vakaj, Associated professor at the Birmingham City University
Supporting material
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- Slide deck presentation
- BCO Ontology and Rules Format
ACCORD Technical review
ACCORD Technical review of existing ontologies, standards and data models for the AEC industry
This training material provides the methodology and conclusions of the study conducted to identify existing ontologies, standards and data models in the Architecture, Engineering and Construction (AEC) industry. The assessment of AEC ontologies supports the development of AEC3PO Ontology.
Target group
This training material targets IT industry professionals, Academic Researchers in the field, Technology developers, and Regulatory Authorities.
Learning objectives
- Understanding about AEC ontology field
- Awareness of AEC ontology classification, metrics and assessment
- Reflect on AEC ontologies and future developments
Author
- Thamer Mecharnia, Post-doctorant École des Mines de Saint-Étienne
Supporting material
- Slide deck presentation
- Semantic BIM library in Zotero
- BRICK tool
- Github Thamer Mecharnia
- Report: Existing ontologies, standards, and data models in the building data domain relevant to compliance checking (Technical report: Existing models)
ACCORD Digitalisation
ACCORD Digitalisation Methodology for building permits
This training material provides an overview of ACCORD methodology to digitalise and formalize regulations and compliance-related documents. The methodology builds on the AEC3PO tool providing a novel Domain Specific Language (DSL) for the building environment. The RASE and rule formalisation concepts are also introduced in this video.
Target group
This training material targets regulation experts and professionals familiar with data formats such as IFC.
Learning objectives
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- Knowledge of the ACCORD digitalization method for building permits and compliance checking concept, process and its three implementation types.
- Understanding RASE application in the ACCORD digitalization method.
- Awareness of rule formalization including expression authoring and bSDD mapping.
Author
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- Thomas Beach, Reader in Construction Informatics at Cardiff University
Supporting material
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- Slide deck presentation
- ACCORD semantic framework and user requirement
ACCORD semantic framework
Semantic framework
This training material provides an overview of the ACCORD semantics framework. The framework is the ACCORD project proposal for what an automated digitalized building permit should look like. It can be the basis for a new generation of semantically aware digital building permits and automated compliance checking.
Target group
This training material targets companies and organizations working on the development of digital tools for building permitting or automated compliance checking, and public authorities seeking to implement digital building permits.
Learning objectives
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- Understanding of ACCORD framework and the interrelationship to its componets such as regulatory documents, ACCORD rule formalization procees, data dictionary, cloud permiting services, model and data validation services, process execution engine, data storage system, micro-services bridge the cloud services and a set of compliance checking services.
- Awareness of ACCORD methodology for the development of the framework including the landscape review of automated digital building permits and the survey results on how to achieve the adoption of automated digital building permits.
Author
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- Thomas Beach, Reader in Construction Informatics at Cardiff University
Supporting material
New material coming soon!