A Construction Model of Ancient Architecture Protection Domain Ontology based on Software Engineering and CLT

Zhu, Bi; Wang, Huiqin; Lu, Ying

doi:10.4304/jsw.9.11.2886-2894

Cited by 2 publications

(1 citation statement)

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“…The process firstly converts specifications and models to semantics and then extracts the BIM model based on specification requirements, which improves the efficiency of specification and model checking. Bi et al [10] used ontology for knowledge expression to promote the protection of ancient buildings.…”

Section: Related Workmentioning

confidence: 99%

Using Text Understanding to Create Formatted Semantic Web from BIM

2023

Computational Design and Robotic Fabrication

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The application of BIM in the building life cycle needs to be continuous. The information collected and accumulated in the early stages should flow to the subsequent phases. However, BIM applications currently focus on collision inspection, compliance inspection, and engineering calculation, few models can be successively used in the following stages. Remodeling is required in the operation and maintenance period, resulting in waste. Meanwhile, some of the information accumulated by BIM might be frequently used in the operation and maintenance stage, while some data are relatively rarely used. The semantic web can help manage building information at all stages. But the generation of a semantic web is mostly manually completed. It is necessary to standardize the repeated semantic description in the model and convert BIM into a standard semantic model for information indexing, reducing the resource consumption of model loading and optimizing the efficiency of the operation and maintenance system. When the existing research transforms from BIM to the semantic web, there will be a lack of information and descriptions of the ownership relationship between entities due to the limitation of formats. To realize the standard transformation from BIM to the semantic web, this work proposes a method of using Natural Language Processing (NLP) to understand the text and infer the relationship between entities according to the knowledge map. First, the entities are extracted from BIM, such as air conditioning unit, electric lamp, fan, etc., if the name of the extracted entity is irregular, the names are translated with the help of NLP and Ontology (such as brick or haystack) to obtain the standard definition. By comparing the complete knowledge graph (such as the knowledge graph of the air conditioning system), the relationships can be deduced, and then a standardized semantic model can be generated.

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Section: Related Workmentioning

confidence: 99%