Many datasets nowadays contain links between geographic locations and natural language
texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia …

The present paper provides a review of two research topics that are central to geospatial
semantics: information modeling and elicitation. The first topic deals with the development of …

Commuting flow prediction is a crucial issue for transport optimization and urban planning.
However, the two existing types of solutions have inherent flaws. One is traditional models …

Effective integration and wide sharing of geospatial data is an important and basic premise
to facilitate the research and applications of geographic information science. However, the …

Geoinformation and aerial data collection are essential during post-earthquake emergency
response. This research focuses on the long-lasting spatial impacts of temporary solutions …

This paper investigates recent research on active learning for (geo) text and image
classification, with an emphasis on methods that combine visual analytics and/or deep …

Texts have become an important spatial data resource. Interpretation of unstructured
geoscience texts using natural language processing methods can effectively facilitate the …

Geospatial information science (GI science) is concerned with the development and
application of geodetic and information science methods for modeling, acquiring, sharing …

Data processing is complicated nowadays due to its vast amount and low structuration level.
Perspective field to provide such structuration is exceptional studies because, in most cases …

The spatial hierarchy of part-whole relationships is an essential characteristic of the platial
world. Constructing spatial hierarchies of places is valuable in association analysis and …