Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking

Zhang, Jiansong; El-Gohary, Nora

doi:10.1016/j.autcon.2016.08.027

Cited by 180 publications

(84 citation statements)

References 20 publications

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“…As a commonly agreed-upon standard, ontologies provide knowledge content with both syntactic (structural) and semantic (contextual) information. The use of ontologies in the construction industry mainly covers three perspectives: interoperability improvement between software tools [32], knowledge management within or across domains [33], and logical reasoning and proofs [34]. A green building rating ontology (GBROnto) serves as the semantic knowledge representation in this proposed framework to formally encapsulate knowledge of a given GBRS as well as the building blocks for SWRL rules.…”

Section: Semantic Knowledge Representation Of Gbrsmentioning

confidence: 99%

A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

Zhang

Guo

Xiong³

2019

Sustainability

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While many countries have developed green building rating systems (GBRSs) to promote the concept of green buildings, it is difficult for designers to achieve better sustainability in the design process when using the real-time green building rating score as a reference. This paper proposes an intelligent green building rating (iGBR) framework supported by a semantic and social approach to realize real-time rating in building design. The framework features four components: (1) An ontology that is used to encapsulate the knowledge of green building rating, (2) score calculation rules that are encoded in Semantic Web Rule Language (SWRL), (3) Autodesk Forge, which is employed as a building information modeling (BIM)–based design platform to synchronize design models from different professions in the cloud, and (4) a group chat tool to connect all project participants in a social communication environment to effectively exchange data/information required for score calculation. A prototype iGBR system is developed based on the Evaluation Standard for Green Building of China (ESGBC) to verify the framework, so that a total of 95 articles can be assessed automatically in the real-time approach.

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Section: Semantic Knowledge Representation Of Gbrsmentioning

confidence: 99%

A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

Zhang

Guo

Xiong³

2019

Sustainability

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“…The first step in the approach is to extract as much information as possible from the input text. To achieve this, shallow Natural Language Processing (NLP) is leveraged, which is effective at extracting domain-specific information (Åkerberg et al, 2003;Georg and Jaulent, 2012;Zhang and El-Gohary, 2017). In contrast with deep NLP techniques, shallow processing aims to provide a pragmatic approach, extracting key information without a deep understanding of the text.…”

Section: Natural Language Processing Approachmentioning

confidence: 99%

Integrating IFC and NLP for automating change request validations

Dawood¹,

Siddle²,

Dawood³

2019

ITcon

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The management and the identification of design changes constitute an essential part of the of a design flow within the architecture, engineering and construction (AEC) industry, requiring the formalisation of a multi-disciplinary collaborative information modelling environment. Construction projects generate substantial amount of change information, which needs to be updated continuously throughout the process, from initial feasibility study to the decommissioning of facilities. Complications arise from the information storage in multiple incompatible file formats that can lead to the loss or omission of details. In addition to any unexpected changes, the mismanagement of information is another factor leading to delays and costly errors. In order to mitigate such issues, this paper proposes to integrate the Industry Foundation Classes (IFC) data model and Natural Language Processing (NLP) to validate and visually identify the result of change requests. The system is developed using C# by 1) integrating angular framework with ASP.NET (Active Server Pages) to create a dynamic single web page and 2). Using X-BIM toolkit that supports IFC format to read, create and visualise the BuildingSmart Data Models (aka IFC Models). This approach enables a web-based platform capable of generating reports and visual previews, highlighting the differences between IFC files throughout the design processes. A web-based system prototype allows users to compare subsequent versions of IFC design models in terms of additions, modifications and deletions. The prototype uses NLP to intelligently identify the changes that have been made as it compares newer and older versions of the same model, making this information available to designers and 3D modellers. Prospective work will focus on the application of artificial intelligence (AI) to automate the implementation of changes within the construction models.

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“…Also, these rules cannot be represented using a humanreadable external format but have to be implemented using a native data format. Another genre of research approaches is focusing on the development of a Natural Language Processing (NLP) system for an automated extraction of the rule knowledge from flow texts of guidelines such as in (Zhang and El-Gohary 2016a), (Zhang and El-Gohary 2016b) or (Uhm et al 2015). However, these approaches are currently limited, since the representation of complex knowledge, such as geometric constraints or operators, is not possible yet.…”

Section: State Of the Artmentioning

confidence: 99%

Refinement of the Visual Code Checking Language for an Automated Checking of Building Information Models Regarding Applicable Regulations

Preidel

Borrmann

2017

Computing in Civil Engineering 2017

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With Building Information Modeling becoming mature, this technology provides several new possibilities for improving the checking processes of the design planning regarding the applicable codes in the construction industry. Code compliance checks are essential since they standardize the functions a building must fulfill finally. Currently, these controls are cumbersome and errorprone and performed to a large extent manual by the planning consultants as well as authority officers. To enable an automation, the contents of the applicable guidelines have to be translated into a digital format, which can be read, interpreted and applied by machines. Various approaches focused on a textual or hard-coded translation of the guidelines. To increase the involvement of non-programming users, we introduced the Visual Code Checking Language, which uses a visual notation to represent the content of directives machine-as well as human-readable. In the presented paper, the authors present a refinement of the VCCL to increase the coverage rate of the translation capabilities.

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Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking

Cited by 180 publications

References 20 publications

A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

Integrating IFC and NLP for automating change request validations

Refinement of the Visual Code Checking Language for an Automated Checking of Building Information Models Regarding Applicable Regulations

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