Automatic Semantic Comparison of STEP Product Models

Arthaud, Geoffrey; Lombardo, Julie

doi:10.1007/978-1-4020-5060-2_29

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…However, domain knowledge is a huge system so it is unnecessary to be applied in merging of IFC data. e directed graph is used to represent the relationship between IFC entities in the study of Arthaud and Lombardo [28].…”

Section: Graph-based Ifc Merging Methodsmentioning

confidence: 99%

A Graph‐Based Method for IFC Data Merging

Zhao

Hei

et al. 2020

Advances in Civil Engineering

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Collaborative work in the construction industry has always been one of the problems solved by BIM (Building Information Modeling) technology. The integration of IFC (Industry Foundation Classes) data as a general building information standard is one of the indispensable functions in collaborative work. The most practical approach of merging IFC data depends on GUID (Global Universal Identifier) comparison at present. However, GUID is not stable in current applications and often changes when exported. The intact representation of relationships between IFC entities is an essential prerequisite for proper association of IFC entities in IFC mergence. This paper proposes a graph-based method for IFC data merging. The IFC data are represented as a graphical data structure, which completely preserves the relationship between IFC entities. IFC mergence is accomplished by associating other data with an isomorphic graph that is obtained by mining the IFC graph. The feasibility of the method is proven by a program, and the method can ignore the impacts of GUID and other factors.

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Section: Graph-based Ifc Merging Methodsmentioning

confidence: 99%

A Graph‐Based Method for IFC Data Merging

Zhao

Hei

et al. 2020

Advances in Civil Engineering

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“…A graph-based approach is presented by [16] which compares two oriented graphs generated by two IFC files. Similarly, [13] proposed converting IFC file into RFD-RDF graph-based signature algorithms for computing differences of IFC models.…”

Section: Previous Workmentioning

confidence: 99%

“…However, the identification of comparable pairs still relies on the assumption that GUIDs of two instances will match in the comparing models. More recently, [16] presented a similar tree comparison approach which uses data instances, instead of GUIDS, to establish candidates for comparison to initiate the comparison process. Their approach extracts three basic terms (i.e.…”

Section: Previous Workmentioning

confidence: 99%

Signature-based Matching of IFC Models

Lockley¹

2018

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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This paper presents the problem of model comparison in platform-neutral collaboration of Building Information Models. The paper describes that model matching and comparison strategies for platformneutral models (i.e. IFC models) are the keys to solve the problem of iterative change management during BIM collaboration workflows. It is highlighted that the current model comparison strategies are centric towards using GUIDS which may not lead to accurate results due to the complexity of modelling operations and internal data structures of modelling tools. The paper proposes a signature-based model matching approach for IFC models that use model object characteristics to define object signatures for object recognition and comparison. Examples of creating signatures from IFC object characteristics are presented. The proposed methodologies for creating IFC object signatures are implemented in a custombuilt tool, XBIM Signatures exporter, which then demonstrates a successful export of object signatures on a test case. The paper concludes that the proposed object signatures can be useful to establish accurate candidates for comparison and can reduce the workload of the overall model comparison process. However, a robust solution for IFC model comparison would require a weighting formula for various object characteristics to formulate an object recognition and comparison strategy.

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“…Experiences tend to be positive but do not obscure conceptual difficulties and implementation limitations concerning early design and entities such as spaces and activities (Mourshed et al, 2001, Szewczyk, 2002 that may be beyond the scope of industrialization ideas from which current approaches derive. More worrying are the necessity to adapt information to the capabilities of a system and the burden of maintaining information (Plume andMitchell, 2005, Arthaud andLombardo, 2006).…”

Section: Introductionmentioning

confidence: 99%

Information Standardization from a Design Perspective

Koutamanis¹,

Gilles²,

Kvan³

2007

CAADRIA Proceedings

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One common assumption concerning the digitization of architectural processes and products is that it should be supported by extensive standardization of design and building information. This standardization should extend beyond pre-existing conventions of the analogue period in terms of scope, integration, continuity, flexibility and adaptability. From a design perspective standardization refers to three distinct information types with different origins: geometric, categorical and project-specific information. Such information is accommodated in standards and building models either top-down or bottom-up, resulting into different possibilities and limitations.

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Automatic Semantic Comparison of STEP Product Models

Cited by 5 publications

References 4 publications

A Graph‐Based Method for IFC Data Merging

A Graph‐Based Method for IFC Data Merging

Signature-based Matching of IFC Models

Information Standardization from a Design Perspective

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