Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Ohori, Ken Arroyo; Diakité, Abdoulaye A.; Krijnen, Thomas; Ledoux, Hugo; Stoter, J.E.

doi:10.3390/ijgi7080311

Cited by 87 publications

(87 citation statements)

References 26 publications

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“…However, they noted that the OGC specifications provide solutions from only particular views. Donkers et al [16]; Deng et al [17]; Hor et al [31]; Kang and Hong [32]; Knoth et al [33]; Ohori et al [34]; and Vilgertshofer et al [35] are some examples of articles that describe integration between BIM and GIS through schema mapping between IFC and CityGML. Niestroj et al [36] discussed information models for road asset information exchange and noted that InfraGML might be easier to implement than IFC as GIS applications widely support the GML format.…”

Section: Integration Of Bim and Gismentioning

confidence: 99%

“…Transformation of geometry characteristics between IFC and information models based on ISO/TC 211 concepts is a complex issue that has been discussed in many studies (e.g., Donkers et al [16]; Deng et al [17]; Kang and Hong [32] and Ohori et al [16,34]). The main challenge is the use of swept solids and constructive solids for the geometry of products in IFC, while GIS information models use Boundary Representation (BREP) to represent the geometry of features [17].…”

Section: Concepts For Geometrymentioning

confidence: 99%

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IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

Jetlund

Onstein

Huang

2020

IJGI

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This study aims to improve the interoperability between the application domains of Building Information Modelling (BIM) and Geographic Information Systems (GIS) by linking and harmonizing core information concepts. Many studies have investigated the integration of application schemas and data instances according to the BIM model IFC and the GIS model CityGML. This study investigates integration between core abstract concepts from IFC and ISO/TC 211 standards for GIS—independent of specific application schemas. A pattern was developed for conversion from IFC EXPRESS schemas to Unified Modelling Language (UML) models according to ISO/TC 211 standards. Core concepts from the two application domains were linked in the UML model, and conversions to implementation schemas for the Geography Markup Language (GML) and EXPRESS were tested. The results showed that the IFC model could be described as an ISO/TC 211 compliant UML model and that abstract concepts from ISO/TC 211 standards could be linked to core IFC concepts. Implementation schemas for BIM and GIS formats could be derived from the UML model, enabling implementation in applications from both domains without conversion of concepts. Future work should include refined linking and harmonization of core abstract concepts from the two application domains.

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Section: Integration Of Bim and Gismentioning

confidence: 99%

Section: Concepts For Geometrymentioning

confidence: 99%

IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

Jetlund

Onstein

Huang

2020

IJGI

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“…In addition, such digitized drawings can be used for development Building Information Modeling (BIM) system that should provide a three-dimensional presentation and models for maintenance purposes [16][17][18][19][20]. Development of the digital archive system and BIM, and their integration with GIS could be the next phases of information infrastructure development to support the construction and maintenance of airport facilities.…”

Section: Data Integrationmentioning

confidence: 99%

Location Intelligence Systems and Data Integration for Airport Capacities Planning

Ponjavić

Karabegović

2019

Computers

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This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent construction work on new terminals and the increase of existing airport capacities, as one of the measures for more efficient management of airport infrastructures, the development team has suggested to airport management to introduce location intelligence, meaning to upgrade the existing information system with a functional WebGIS solution. This solution is based on OpenGeo architecture that includes a set of spatial data management technologies used to create an online internet map and build a location intelligence infrastructure.

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“…The massive use of geo-referenced data sets in many fields of science and economy including earth observation [1], environmental sciences [2], city planning [3], BIM [3,4], real-time processing [5,6], and analytics for geospatial data [5] makes geospatial data management increasingly a central task in the workflow of geospatial data processing [1,5,7]. Recent approaches consider open data platforms and containers to handle big geospatial raster and vector data efficiently.…”

Section: Introductionmentioning

confidence: 99%

“…However, little benchmarking has been done to compare the efficiency of the different big data stores especially in respect of their spatial functionalities [7], and big data support is not the whole story. For example, geospatial data management is also responsible for the cumbersome task of data integration from heterogeneous data sources [3,4,8].…”

Section: Introductionmentioning

confidence: 99%

Geospatial Data Management Research: Progress and Future Directions

Breunig

Bradley

Jahn

et al. 2020

IJGI

107

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Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replicability of geospatial data analysis. In the first part of this article, five milestones of geospatial data management research are presented that were achieved during the last decade. The first one reflects advancements in BIM/GIS integration at data, process, and application levels. The second milestone presents theoretical progress by introducing topology as a key concept of geospatial data management. In the third milestone, 3D/4D geospatial data management is described as a key concept for city modelling, including subsurface models. Progress in modelling and visualization of massive geospatial features on web platforms is the fourth milestone which includes discrete global grid systems as an alternative geospatial reference framework. The intensive use of geosensor data sources is the fifth milestone which opens the way to parallel data storage platforms supporting data analysis on geosensors. In the second part of this article, five future directions of geospatial data management research are presented that have the potential to become key research fields of geospatial data management in the next decade. Geo-data science will have the task to extract knowledge from unstructured and structured geospatial data and to bridge the gap between modern information technology concepts and the geo-related sciences. Topology is presented as a powerful and general concept to analyze GIS and BIM data structures and spatial relations that will be of great importance in emerging applications such as smart cities and digital twins. Data-streaming libraries and “in-situ” geo-computing on objects executed directly on the sensors will revolutionize geo-information science and bridge geo-computing with geospatial data management. Advanced geospatial data visualization on web platforms will enable the representation of dynamically changing geospatial features or moving objects’ trajectories. Finally, geospatial data management will support big geospatial data analysis, and graph databases are expected to experience a revival on top of parallel and distributed data stores supporting big geospatial data analysis.

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Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Cited by 87 publications

References 26 publications

IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

IFC Schemas in ISO/TC 211 Compliant UML for Improved Interoperability between BIM and GIS

Location Intelligence Systems and Data Integration for Airport Capacities Planning

Geospatial Data Management Research: Progress and Future Directions

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