Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

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 …

Abstract The Semantic Web eases data and information integration tasks by providing an
infrastructure based on RDF and ontologies. In this paper, we contribute to the development …

Location extraction, also called “toponym extraction,” is a field covering geoparsing,
extracting spatial representations from location mentions in text, and geotagging, assigning …

Geographical information is recorded in a wide variety of media and document types. There
are innumerable paper-based books, reports, images and maps, and there are computer …

Place names are often used to describe and to enquire about geographical information. It is
common for users to employ vernacular names that have vague spatial extent and which do …

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 …

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 …

News articles contain a wealth of implicit geographic content that if exposed to readers
improves understanding of today's news. However, most articles are not explicitly geotagged …

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 …