
3D GeoInfo & SDSC 2025
20th 3D GeoInfo Conference | 9th Smart Data and Smart Cities Conference
02 - 05 September 2025 | Kashiwa Campus, University of Tokyo, Japan
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Session 10-a: 3DGeoInfo - Urban Environment Modeling Location: Media Hall / Kashiwa Library Session Chair: Toshikazu SETO | |
| Presentation 2 | |
Towards a domain specific graph query language for the geoscience - implementing a GeoGQL - Karlsruhe Institute of Technologie, Germany Modern geo-data management plays a crucial role in designing digital twins in distributed system environments, enabling seamless integration, analysis, and visualization of spatial information. With the rise of graph databases and linked data, geospatial relationships can be efficiently modeled and queried using technologies such as Gremlin, a graph traversal language. On the other hand, Simple Features (see ISO19107) and the Dimensionally Extended 9-Intersection Model (DE-9IM) as two traditional examples provide standardized frameworks for spatial representation and topological reasoning, ensuring interoperability across systems. The fusion of geospatial standards with schema-free geo-data management advances the support of real-time decision-making and scalable geospatial applications, making modern geo-data management a cornerstone of intelligent, interconnected digital environments. This paper provides one step towards this goal by using an abstract graph-schema to represent the intra- and inter-relations of simplicial- and polytope-complexes and applying the traditional geoinformatics interpretation of topology, the philosophy of the Dimensionally Extended 9-Intersection Model (DE-9IM). This approach can be seen as a step towards the implentation of a domain-specific query language for property graphs that represent complex interrelated vector data. | |