Automatic conversion of real-world data from a German road infrastructure management system into a labelled property graph

Maintenance of road infrastructure in many countries, including Germany, is carried out by various specialised institutions. These institutions use separate systems that often rely on relational databases. As a result, it becomes nearly impossible to conduct a comprehensive analysis of road infrastructure data. To address this challenge, graph-based representations are commonly used to enable more flexible and comprehensive data linking. This paper introduces an approach to represent geospatial data as a labelled property graph (LPG). The standardization of geospatial data provision through Web Feature Services is leveraged to develop a universal concept for creating the graph representation of geospatial data. The resulting LPG enables a more flexible evaluation of road management data stored in established GIS-based systems, facilitating integration into comprehensive systems. Real-world data from the road management system in Bavaria, a state in Germany, is transformed into an LPG to validate the concept, and an example of a comprehensive query is provided.

Publication Details

Journal
tub.dok (Hamburg University of Technology)
Published
2024-09-18
DOI
https://doi.org/10.15480/882.13523
Citations
1
Primary Topic
African Studies and Ethnography
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic conversion of real-world data from a German road infrastructure management system into a labelled property graph

1 citations
tub.dok (Hamburg University of Technology)
African Studies and Ethnography
1.13
article

Automatic conversion of real-world data from a German road infrastructure management system into a labelled property graph

article en
1 citations

Abstract

Maintenance of road infrastructure in many countries, including Germany, is carried out by various specialised institutions. These institutions use separate systems that often rely on relational databases. As a result, it becomes nearly impossible to conduct a comprehensive analysis of road infrastructure data. To address this challenge, graph-based representations are commonly used to enable more flexible and comprehensive data linking. This paper introduces an approach to represent geospatial data as a labelled property graph (LPG). The standardization of geospatial data provision through Web Feature Services is leveraged to develop a universal concept for creating the graph representation of geospatial data. The resulting LPG enables a more flexible evaluation of road management data stored in established GIS-based systems, facilitating integration into comprehensive systems. Real-world data from the road management system in Bavaria, a state in Germany, is transformed into an LPG to validate the concept, and an example of a comprehensive query is provided.

tub.dok (Hamburg University of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
African Studies and Ethnography
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automatic conversion of real-world data from a German road infrastructure management system into a labelled property graph · tub.dok (Hamburg University of Technology) (2024) | TGRS Research Map | TGRS