Abstract
Abstract. The semantic integration modeling of BIM industry foundations classes and GIS City-geographic markup language are a milestone for many applications that involve both domains of knowledge. In this paper, we propose a system design architecture, and implementation of Extraction, Transformation and Loading (ETL) workflows of BIM and GIS model into RDF graph database model, these workflows were created from functional components and ontological frameworks supporting RDF SPARQL and graph databases Cypher query languages. This paper is about full understanding of whether RDF graph database is suitable for a BIM-GIS integrated information model, and it looks deeper into the assessment of translation workflows and evaluating performance metrics of a BIM-GIS integrated data model managed in an RDF graph database, the process requires designing and developing various pipelines of workflows with semantic tools in order to get the data and its structure into an appropriate format and demonstrate the potential of using RDF graph databases to integrate, manage and analyze information and relationships from both GIS and BIM models, the study also has introduced the concepts of Graph-Model occupancy indexes of nodes, attributes and relationships to measure queries outputs and giving insights on data richness and performance of the resulting BIM-GIS semantically integrated model.
Highlights
Considering the large number of applications and the nature of information in the BIM and GIS domains Over the recent years, the usage of se- mantic web technologies and RDF data models have been notably increased in many fields, and multiple knowledge-based frameworks are started using RDF data to describe information resources semantic associations with complex relationships
The system architecture for BIM-GIS integrated semantic model using RDF representation to a graph database platform on Neo4j is represented in the diagram in Figure 2, It consists of four modules 1- Data sources: Consisting of BIM and GIS models in IFC and CityGML formats, respectively. 2- Data translation: From native formats followed with an RDF graph matching using Semantic Alignment Techniques. 3- BIM-GIS integrated model: management console and providing a user interface to store, maintain, and manage Graph datasets and 4- Application: This is a web-based application hosted using web-based services hosted on a cloud platform
For evaluating the system proposed in this re- search project, an environment was simulated in which semantic GeoSPARQL and Neo4j Cypher queries are executed and measured on selected test datasets, these testing will allow us in determining the usability of our BIM-GIS semantic integration approach using ontology modelling methodologies on a graph database platform, the performance testing designed experiments implemented and conducted are using the four models described above
Summary
Considering the large number of applications and the nature of information in the BIM and GIS domains Over the recent years, the usage of se- mantic web technologies and RDF data models have been notably increased in many fields, and multiple knowledge-based frameworks are started using RDF data to describe information resources semantic associations with complex relationships. RDF data plays a very important role in advanced information retrieval, and graphs are efficient ways to visualize and represent real-world data by providing solutions to many realtime scenarios that can be simulated and implemented using graph databases and to efficiently query graphs with multiple attributes representing a different source of datasets coming from many do- mains of knowledge. The workflows and transformations of IFC and CityGML schemas into object graph databases model are developed and applied to an intelligent urban mobility web application to validates the integration methodology. The double-blind peer-review was conducted on the basis of the full paper
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