Generative AI including large language models (LLMs) has recently gained significant
interest in the geoscience community through its versatile task‐solving capabilities including …

Polygon representation learning is essential for diverse applications, encompassing tasks
such as shape coding, building pattern classification, and geographic question answering …

We present the question answering engine GeoQA2 which is able to answer geospatial
questions over the union of knowledge graphs YAGO2 and YAGO2geo. We also present the …

This paper explores the use of probabilistic and conventional qualitative spatial reasoning
(QSR) in the context of geospatial question answering (GeoQA) systems. The paper …

We present the geospatial question answering engine GeoQA2 which is the most recent
version of the engine GeoQA, originally proposed by Punjani et al. GeoQA2 has been …

Geographic Knowledge Base Question Answering (GeoKBQA) has garnered increasing
attention for its ability to process complex geographic queries. This study focuses on schema …

To address current issues in natural language spatiotemporal queries, including insufficient
question semantic understanding, incomplete semantic information extraction, and …

In recent years, question answering on knowledge bases (KBQA) has emerged as a
promising approach for providing unified, user-friendly access to knowledge bases …

Most studies on semantic question answering (QA) are predominantly focused on
encyclopedic knowledge graphs like DBpedia and Wikidata. These studies cover, if at all …

This study tries to automatically construct a GeoKBQA dataset to transition to more
comprehensive, neural-based GeoKBQA. The current GeoKBQA datasets are lacking in …