Integrating IFC and CityGML Model at Schema Level by Using Linguistic and Text Mining Techniques

Xiaohui Ding,Peng Wu,Lingjia Liu,Wumeng Huang,Ji Yang

doi:10.1109/access.2020.2982044

Abstract

There is a growing interest in the interoperability between building information models (BIM) and geographic information systems (GIS). BIM can provide rich information for the generation of a GIS model, while the analysis tools in GIS can be used by BIM applications, such as the management of material supply chains and site selection. A comprehensive integration of the BIM and GIS is critical for interoperability between the two domains. However, many integration methods including manual inspection of complex and heterogeneous model files are time-consuming and have weak generalisation capability. This paper proposes a new linguistic-based semantic mapping method that uses the letter trigram-based word hashing method (WHSMM) to construct the feature vector, and then maps the Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) schemas through text mining techniques at schema level. The semantic mapping precision and recall obtained using WHSMM are compared with those of another linguistic-based method. The mapping result shows that performance of WHSMM is superior to that of another method in most cases. Therefore, the mapping candidates of WHSMM are used to transform the IFC datasets into CityGML models. The transformation results show that most of mapping candidates of the WHSMM can be used to practical data integration. The semantic mapping method presented in this paper can help map the IFC and CityGML schemas by effectively reducing the search space of the manual mapping method.

Highlights

Since building information models (BIMs) can generate, store, manage, exchange, and share building information in an interoperable and reusable way, they are widely used in the architecture, engineering, and construction (AEC)The associate editor coordinating the review of this manuscript and approving it for publication was Dimitrios Katsaros .industry [1]
The mapping results derived from RSSMM and word hashing-based semantic mapping method (WHSMM) are evaluated and compared with the true matches generated by the instance-based method
A comparison between the proposed method and the manual method is made with an integration process that converts the Industry Foundation Classes (IFC) data to the City Geography Markup Language (CityGML) model

Summary

Introduction

Since building information models (BIMs) can generate, store, manage, exchange, and share building information in an interoperable and reusable way, they are widely used in the architecture, engineering, and construction (AEC)The associate editor coordinating the review of this manuscript and approving it for publication was Dimitrios Katsaros .industry [1]. Since building information models (BIMs) can generate, store, manage, exchange, and share building information in an interoperable and reusable way, they are widely used in the architecture, engineering, and construction (AEC). Using the information provided by a BIM, individuals from different industries can seamlessly collaborate to manage the project’s lifecycle and reduce costs. The purpose of the BIM is to provide relevant information (e.g., geometry, attribute, and semantics) to support the operation and maintenance of the project, including design, procurement, fabrication, and construction [2]. BIM and GIS are different technologies, and even though the standards, syntax descriptions, and schemas in the two domains have been designed and created for completely different purposes, there is an increasing interest in the integration of BIM and GIS [5]–[7]

Methods

Results

Discussion

Conclusion