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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.DB2026

AuthentiCity: A Multi-Source Provenance-Aware Knowledge Graph and Benchmark for 3D City Models

Huynh Duc An Son Nguyen, Lukas Arzoumanidis, Youness Dehbi

AuthentiCity is a large, provenance‑aware knowledge graph that integrates authoritative, crowd‑sourced, and machine‑learned data for 3D city models across five global cities, enabl…

cs.DB2026

pykci: A Compact Urban Knowledge Graph for Semantic and Spatial Queries using LLMs

Huynh Duc An Son Nguyen, Lukas Arzoumanidis, Youness Dehbi

CityGML, the OGC standard for modeling, storage, and exchange of semantic 3D city models, describes urban objects with detailed semantics, geometry, and topology. Yet this richness…

cs.DB2026

3D Spatial Pattern Matching

Nicole R. Schneider, Avik Das, Lukas Arzoumanidis +3

Spatial pattern matching is the process of matching query entities and constraints with database entities and relations. It has many applications, including similar region search,…

cs.LG2026

Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America

Lukas Arzoumanidis, Lara Johannsen, Klara Middendorf +2

Terrestrial water storage (TWS) integrates snow, soil moisture, surface water, and groundwater and is a key indicator of how climate variability and human activity reshape the glob…

cs.LG2026

Multi-Modal Contrastive Learning for Implicit Earth Embeddings via Location Tying

Jonathan Hecht, Lukas Arzoumanidis, Ziyue Li +1

Spatial prediction tasks are often limited by a lack of high-quality labelled ground-truth observations. To overcome this challenge, self-supervised pre-training is a possible solu…

cs.CV2026

Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation

Lukas Arzoumanidis, Julius Knechtel, Jan-Henrik Haunert +1

The automated analysis of historical documents, particularly maps, has drastically benefited from advances in deep learning and its success across various computer vision applicati…