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CityGML and Graphs – Introduction to Applications

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Urban objects, particularly those encoded in CityGML, are structured like graphs. This video presents two applications that use graph representations of CityGML datasets: (1) The identification and interpretation of changes in a city and (2) multimodal navigation based on detailed street space modeling of the city.

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CityGML und Graph - Anwendungen

Präsentation zur CUT-Akademie am 29.10.2024

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GitHub-Tool zur Identifikation und Interpretation von Änderungen in CityGML-Graphen

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GitHub-Tool zum Erstellen von Knowledge Graphs aus Stadtmodellen

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Leitfaden zur Straßenraummodellierung mit Road2CityGML3

Hier befindet sich ein Leitfaden zur Modellierung von Straßen und des Straßenraums in semantischen 3D-Stadtmodellen unter Verwendung des internationalen OGC-Standards City Geography Markup Language (CityGML) Version 3.0.

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GitHub-Tool für multimodale Navigation in CityGML 3.0

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Offizielle OGC-Seite von CityGML

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The Key Learnings

CityGML Graph Structure

CityGML objects are structured like graphs. Consequently, graph-based methods and algorithms can be applied.

The Graph Database Neo4j

As demonstrated in the applications, graph representations of city objects are stored in the Neo4j graph database. Neo4j is currently one of the most popular graph databases worldwide.

Identification and Interpretation of Changes

Graphs are an effective tool for comparing CityGML datasets to identify changes. These changes are then interpreted to identify meaningful patterns for specific stakeholders.

Multimodal Navigation

Graph representations of street spaces in CityGML 3.0 can also be used to enable multimodal navigation.

Interactive Neo4j Tutorials

The video is accompanied by interactive tutorials for Neo4j and its query language, Cypher.

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Contact

Son H. Nguyen

Chair of Geoinformatics, Technical University Munich

cut@muenchen.de
Felix Olbrich

Chair of Geoinformatics, Technical University Munich

cut@muenchen.de
Thomas Kolbe

Chair of Geoinformatics, Technical University Munich

cut@muenchen.de
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