A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

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

Highlights•A framework to characterize places regarding type, human activity, group and
locale using multi-source big geo-data.•Deriving place group information from individual …

As location‐enabled technologies are becoming ubiquitous, our location is being shared
with an ever‐growing number of external services. Issues revolving around location privacy …

Traditional gazetteers are built and maintained by authoritative mapping agencies. In the
age of Big Data, it is possible to construct gazetteers in a data-driven approach by mining …

Cognitive regions and places are notoriously difficult to represent in geographic information
science and systems. The exact delineation of cognitive regions is challenging insofar as …

In this article we present GeoTxt, a scalable geoparsing system for the recognition and
geolocation of place names in unstructured text. GeoTxt offers six named entity recognition …

Existing urban boundaries are usually defined by government agencies for administrative,
economic, and political purposes. However, it is not clear whether the boundaries truly …

Advancements in citizen sensing and geospatial big data have enabled new opportunities
for government-citizen interactions and have played important roles in developing smart (er) …

Local place names are frequently used by residents living in a geographic region. Such
place names may not be recorded in existing gazetteers, due to their vernacular nature …