Exploting multiple heterogeneous data sets for improving geotagging quality
نویسندگان
چکیده
Geotagging is the process of associating with textual data items the geographic position they denote, usually in the form of geographical coordinates (latitude and longitude). Automatic geotagging is often trivial relying on one of the many available gazetteers, such as OpenStreetMap (OSM). However, such knowledge bases are not free of errors, and, while this simple match works for popular locations, automatic annotation of less relevant venues and events may be significantly inaccurate. The goal of this work is to increase geotagging quality (in terms of completeness and accuracy) by also identifying and jointly exploiting diverse data sources as gazetteers. This will also allow us to cope with ambiguity by additionally performing semantic queries in various open knowledge bases.
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