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

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 …

Knowledge Base Question Answering (KBQA) integrates multiple disciplines, enabling
users to retrieve answers from a knowledge base (KB) without specialized query language …

Question answering (QA) is a computer science discipline within the fields of information
retrieval and natural language processing that is concerned with building systems that …

ABSTRACT Question Answering (QA) over Knowledge Bases, particularly Knowledge
Graphs (KGs), has become an essential task in Natural Language Processing. This task …

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

We show how to develop geospatial web applications using the geospatial question
answering engine GeoQA2, the geospatial knowledge graph YAGO2geo, the …

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

We present the project DA4DTE, a project funded by the European Space Agency to create
a digital assistant for satellite data archives. The digital assistant offers four search engines …