ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2018 · 42 citations · 5 references
ComputingComputer ScienceGeoinformaticsData ManagementDatabasesKnowledge RepresentationData IntegrationData ModelingDatabase ManagementOntology EngineeringQuery ProcessingSpatial Database SystemsBim OntologiesGraph DatabasesGraph-based Data IntegrationInteroperable Data ExchangeOntology-based Data ArchitectureResource Description FrameworkSemantic WebSpatial Semantic Integration
Semantic web technologies and RDF data models are increasingly used across fields, and graph databases offer schema‑less, efficient storage and fast traversal for real‑time information retrieval. The paper presents an architectural design and full implementation of a BIM‑GIS integrated RDF graph database. The architecture comprises four phases—ontological BIM and GIS model construction, semantic mapping with interoperable formats, graph database import, and query/filtering—while workflows transform IFC and CityGML schemas into an object graph database that is applied in an intelligent urban mobility web application on a game engine platform to validate the methodology. The developed workflows successfully transform IFC and CityGML schemas into an object graph database, and their application in an intelligent urban mobility web application on a game engine platform validates the integration methodology. Abstract.
Abstract. Over the recent years, the usage of semantic web technologies and Resources Description Framework (RDF) data models have been notably increased in many fields. Multiple systems are using RDF data to describe information resources and semantic associations. 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 real-time scenarios that can be simulated and implemented using graph databases, and efficiently query graphs with multiple attributes representing different domains of knowledge. Given that graph databases are schema less with efficient storage for semi-structured data, they can provide fast and deep traversals instead of slow RDBMS SQL based joins allowing Atomicity, Consistency, Isolation and durability (ACID) transactions with rollback support, and by utilizing mathematics of graph they can enormous potential for fast data extraction and storage of information in the form of nodes and relationships. In this paper, we are presenting an architectural design with complete implementation of BIM-GIS integrated RDF graph database. The proposed integration approach is composed of four main phases: ontological BIM and GIS model’s construction, mapping and semantic integration using interoperable data formats, then an import into a graph database with querying and filtering capabilities. 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 on a game engine platform validate the integration methodology.
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