An ontology-based approach for developing data exchange requirements and model views of building information modeling

Lee, Yong-Cheol; Eastman, Charles M.; Solihin, Wawan

doi:10.1016/j.aei.2016.04.008

Cited by 83 publications

(48 citation statements)

References 10 publications

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“…Lee el al. [50] suggested a method to include ontologies to create an MVD, and Zhang et al [48] implemented a prototype to validate IFC models against MVDs. Solihin et al [51] developed a methodology to estimate the quality of an IFC model, including suggested rules for estimating completeness and correctness of an IFC model.…”

Section: Discussionmentioning

confidence: 99%

Automation of Building Permission by Integration of BIM and Geospatial Data

Olsson

Axelsson

Hooper

et al. 2018

IJGI

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Abstract:The building permission process is to a large extent an analogue process where much information is handled in paper format or as pdf files. With the ongoing digitalisation in society, there is a potential to automate this process by integrating Building Information Models (BIM) of planned buildings and geospatial data to check if a building conforms to the building permission regulations. In this study, an inventory of which regulations in the (Swedish) detailed development plans that can be automatically checked or supported by 3D visualisation was conducted. Then, two of these regulations, the building height and the building footprint area, were studied in detail to find to which extent they can be automatically checked by integration of BIM and geospatial data. In addition, a feasibility study of one visual criterion was conducted. One concern when automating the building permission process is the variability of content within the Industry Foundation Classes (IFC) data model. Variations in modelling methods and model content leads to differences in IFC models' content and structure; these differences complicate automated processes. To facilitate automated processes, requirements on the production of IFC models for building permission applications could be defined in the form of model view definitions or delivery specifications.

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Section: Discussionmentioning

confidence: 99%

Automation of Building Permission by Integration of BIM and Geospatial Data

Olsson

Axelsson

Hooper

et al. 2018

IJGI

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“…where M o is the original model; e pro is the IfcProject entity; R pro is a set of entities referenced by IfcProject entity's attributes; and M p is the partial model. In the IFC schema, the IFC entity mainly contains explicit and inverse attributes [43]. The explicit attributes are scalar values or the information computed from other attributes, while the inverse ones are identified relationally through other entities.…”

Section: Basic Rules For a Valid Industry Foundation Classes (Ifc) Filementioning

confidence: 99%

Generic Language for Partial Model Extraction from an IFC Model Based on Selection Set

2020

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During data sharing and exchange of building projects, the particular business task generally requires a part of the complete model. This paper adopted XML schema to develop a generic language to extract the partial model from an Industry Foundation Classes (IFC) model based on the proposed Selection Set (called PMESS). In this method, the Selection Set was used to integrate users’ requirements, which could be mapped into IFC data. To ensure the validity of the generated partial IFC models in syntax and semantics, seven rules—including three basic rules for a valid IFC file, three extraction rules based on the Selection Set, and a processing rule for redundant information—were defined. Through defining PMESS-based configuration files, the required data can be extracted and formed as a partial IFC model. Compared with the existing methods, the proposed PMESS method can flexibly extract the user-defined required information. In addition, these PMESS-based configuration files can be stored as templates and reused in other tasks, which prevents duplicated work for defining extraction requirements. Finally, a practical project was used to illustrate the utility of the proposed method.

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“…Ontologies, their description language and management tools are among the central elements of the Semantic Web [5].…”

Section: Ontologies As Application Domain Theoriesmentioning

confidence: 99%

Application of the Financial Industry Business Ontology (FIBO) for development of a financial organization ontology

Petrová

Tuzovsky

Aksenova

2017

J. Phys.: Conf. Ser.

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An ontology-based approach for developing data exchange requirements and model views of building information modeling

Cited by 83 publications

References 10 publications

Automation of Building Permission by Integration of BIM and Geospatial Data

Automation of Building Permission by Integration of BIM and Geospatial Data

Generic Language for Partial Model Extraction from an IFC Model Based on Selection Set

Application of the Financial Industry Business Ontology (FIBO) for development of a financial organization ontology

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