Knowledge-informed semantic alignment and rule interpretation for automated compliance checking

Zheng, Zhe; Zhou, Yucheng; Lu, Xinzheng; Lin, Jia-Rui

doi:10.1016/j.autcon.2022.104524

Cited by 42 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, several researchers have addressed the information extraction of construction rules, mainly focusing on rule-based methods, or more recently, machine learning-based methods [17,38]. These methods can be applied to creating computable rules from textual regulatory documents, significantly improving the efficiency and accuracy of compliance checking [39]. However, these applications are not yet widely used in practice.…”

Section: Evaluation Of the Applied Methodsmentioning

confidence: 99%

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Szalai,

Ajtayné Károlyfi

2024

Buildings

View full text Add to dashboard Cite

The proper selection and planning of building materials are crucial tasks in architectural design, as they fundamentally impact the functioning of the structure. In traditional design processes, this information is recorded in text form, typically using word processing software. However, this approach hinders the integration with modern, data-driven design methods and is incompatible with the increasingly popular building information modeling (BIM) processes. To address this, two new methods have been developed: one database-like method in the form of an Excel spreadsheet and the other as a dedicated web application. This article introduces and compares these methods based on pilot projects conducted by university students and an expert. Based on the results of the study conducted among students and expert, the database-like method proves to be the fastest. For students, creating a composite structure took an average of 14–20 min, while for experts, it took an average of 1.2 min. According to the evaluation of participants, the traditional method does not facilitate automatic communication with BIM, while both the database and web solutions promote it. The web-based solution, with its dedicated layout and functionality, offers additional advantages in this regard. The research underscores the importance of structured data in BIM and proposes new methods to streamline composite documentation processes during the design phase.

show abstract

Section: Evaluation Of the Applied Methodsmentioning

confidence: 99%

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Szalai,

Ajtayné Károlyfi

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Compliance checking; model optimization IFC file; BIM model; design specification [24,28,32,40,57,68,76,77,[83][84][85][86][87]92,94,97,100,115,117,118,120,140,147,151,152,157]…”

Section: Design Phasementioning

confidence: 99%

“…The understanding and transformation of semantic information is the focus of integration. An approach worth considering is the combination of IFCOI with machine learning [104], Natural Language Processing (NLP) [151], and deep learning [152] methods to ensure that IFC information is semantically consistent with other domain information. Researchers have now begun to use these methods to process semantic data and optimize rule interpretation.…”

Section: Further Semantic Transformationmentioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

View full text Add to dashboard Cite

Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

show abstract

“…The second problem is the selection of the specification markup language, which is the choice of language to describe the logic of the regulation texts. To solve the first problem, Zheng et al [17,18] developed the building fire protection ontology (FPBO) and automatically aligned the concepts in the ontology based on semantic similarity. Jiang et al [19] adopted multiple ontologies and a set of mapping rules to realize the alignment.…”

Section: Literature Review 21 Compliance Checkingmentioning

confidence: 99%

Compliance Checking on Topological Spatial Relationships of Building Elements Based on Building Information Models and Ontology

et al. 2023

View full text Add to dashboard Cite

Compliance checking on the topological spatial relationships of building elements is vital for ensuring the safety and the quality of buildings. However, the complex topological spatial relationships of buildings are not usually expressed in the design scheme directly. Manual checking is still needed to analyze the design scheme and extract the spatial relationships. Such manual checking is always time consuming and prone to error. Therefore, this study has proposed a compliance checking method based on a building information model (BIM) and building ontologies for the automatic checking of topological spatial relationships. Firstly, the topological spatial relationships are well captured and represented according to the location relation of building elements. The checking rules are further established based on regulations. Then, the design information is extracted from the design model, mainly including the location information of building elements. Next, the review ontology is developed, and the design information is organized based on the ontology. Finally, the checking is completed based on the ontology and checking rules. The authors have validated the proposed method through a case study. The results show that the proposed method could help to achieve automatic compliance checking on topological spatial relationships of building elements.

show abstract

Knowledge-informed semantic alignment and rule interpretation for automated compliance checking

Cited by 42 publications

References 26 publications

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Enhancing BIM Integration: A Comparative Analysis of Novel Composite Structure Documentation Methods

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Compliance Checking on Topological Spatial Relationships of Building Elements Based on Building Information Models and Ontology

Contact Info

Product

Resources

About