With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

In recent years, geospatial big data (GBD) has obtained attention across various disciplines,
categorized into big Earth observation data and big human behavior data. Identifying …

Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …

Large Language Models (LLMs) such as GPT, BART, and Gemini stand at the forefront of
Generative Artificial Intelligence, showcasing remarkable prowess in natural language …

We present the dataset GeoQuestions1089 for benchmarking geospatial question
answering engines. GeoQuestions1089 is the largest such dataset available presently and it …

This article proposes a framework of linked software agents that continuously interact with
an underlying knowledge graph to automatically assess the impacts of potential flooding …

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 …

The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …

Understanding human mobility in urban areas is crucial for transportation planning,
operations, and online control. The availability of large-scale and diverse mobility data (eg …