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 …

Significant amounts of information available today contain references to places on earth.
Traditionally such information has been held as structured data and was the concern of …

Twitter is an electronic medium that allows a large user populace to communicate with each
other simultaneously. Inherent to Twitter is an asymmetrical relationship between friends …

We investigate automatic geolocation (ie identification of the location, expressed as
latitude/longitude coordinates) of documents. Geolocation can be an effective means of …

Event detection in social media is an important but challenging problem. Most existing
approaches are based on burst detection, topic modeling, or clustering techniques, which …

The successful execution of location-based and feature-based queries on spatial databases
requires the construction of spatial indexes on the spatial attributes. This is not simple when …

There are major trends to advance the functionality of search engines to a more expressive
semantic level. This is enabled by the advent of knowledge-sharing communities such as …

Real-time road traffic congestion monitoring is an important and challenging problem. Most
existing monitoring approaches require the deployment of infrastructure sensors or large …

Recognizing spatial language in text documents, termed geoparsing, is useful for many
applications, because together with mapping such language to lat/long values, also known …

Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …