Abstract Knowledge graph (KG) is a topic of great interests to geoscientists as it can be
deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless …

The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

Geo-tagged images are publicly available in large quantities, whereas labels such as object
classes are rather scarce and expensive to collect. Meanwhile, contrastive learning has …

ABSTRACT Large Language Models (LLMs), such as ChatGPT, demonstrate a strong
understanding of human natural language and have been explored and applied in various …

The field of Artificial Intelligence (AI) can be roughly divided into two branches: Symbolic
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …

Neural network representation learning for spatial data (eg, points, polylines, polygons, and
networks) is a common need for geographic artificial intelligence (GeoAI) problems. In …

As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at
generating answers to questions phrased in natural language. While there has been …

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

Over the past decade, the electric vehicle (EV) industry has experienced unprecedented
growth and diversification, resulting in a complex ecosystem. To effectively manage this …

Preparing knowledge on urban simulation computation is necessary to help participants
build consensus, reduce expertise gaps, and guide participatory sustainable urban …