Generating learning-friendly representations for points in space is a
fu...
This chapter presents some of the fundamental assumptions and principles...
Neural network representation learning for spatial data is a common need...
Generating learning-friendly representations for points in a 2D space is...
A common need for artificial intelligence models in the broader geoscien...
As an important part of Artificial Intelligence (AI), Question Answering...
Learning knowledge graph (KG) embeddings is an emerging technique for a
...
Many geoportals such as ArcGIS Online are established with the goal of
i...
Unsupervised text encoding models have recently fueled substantial progr...
Link prediction is an important and frequently studied task that contrib...
Recently, several studies have explored methods for using KG embedding t...
Many services that perform information retrieval for Points of Interest ...
While Points Of Interest (POIs), such as restaurants, hotels, and barber...
The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a...