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ct:spatialtext [2013/09/23 10:40]
apadmana
ct:spatialtext [2013/09/23 10:40] (current)
apadmana
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 The rise of "born geographic" information and the increasing creation and mediation of information in a spatial context has given rise to a demand for extracting and indexing the spatial information in large textual archives. Spatial indexing of archives has traditionally been a manual process, with human editors reading and assigning country-level metadata indicating the major spatial focus of a document. The demand for subnational saturation indexing of all geographic mentions in a document, coupled with the need to scale to archives totaling hundreds of billions of pages or those accessioning hundreds of millions of new items a day requires automated approaches.  The rise of "born geographic" information and the increasing creation and mediation of information in a spatial context has given rise to a demand for extracting and indexing the spatial information in large textual archives. Spatial indexing of archives has traditionally been a manual process, with human editors reading and assigning country-level metadata indicating the major spatial focus of a document. The demand for subnational saturation indexing of all geographic mentions in a document, coupled with the need to scale to archives totaling hundreds of billions of pages or those accessioning hundreds of millions of new items a day requires automated approaches. 
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 SpatialText, a software element developed in Perl, provides a solution to automate this process by conducting fulltext geocoding. Fulltext geocoding refers to the process of using software algorithms to parse through a document, identify textual mentions of locations, and using databases of places and their approximate locations known as gazetteers, to convert those mentions into mappable geographic coordinates. By scalably geo-referencing massive of data streams SpatialText provides capabilities to analyze social media (e.g. Twitter) or news media text. SpatialText, a software element developed in Perl, provides a solution to automate this process by conducting fulltext geocoding. Fulltext geocoding refers to the process of using software algorithms to parse through a document, identify textual mentions of locations, and using databases of places and their approximate locations known as gazetteers, to convert those mentions into mappable geographic coordinates. By scalably geo-referencing massive of data streams SpatialText provides capabilities to analyze social media (e.g. Twitter) or news media text.