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Mapping geospatial events based on extracted spatial information from web documents

Web documents such as news articles, social feeds, and blogs provide an abundant and readily available data source of spatial information relating to dynamic events such as wildfires, storms, and chemical spills. Research in the fields of geographic information retrieval and natural language processing use methods to extract place-names from web documents that can be used to geocode these events. However much of the spatial information in these articles are difficult to use because of the inherent vagueness of natural language. This thesis aims to develop methods to handle the vaguness of representing natural language descriptions of events by integrating precise spatial information (landmarks and geographic coordinates) with imprecise spatial information to provide a map-based visualization of the likely spatial extent and location of web document events.

Identiferoai:union.ndltd.org:uiowa.edu/oai:ir.uiowa.edu:etd-2453
Date01 May 2011
CreatorsRock, Nathaniel Robert
ContributorsHornsby, Kathleen
PublisherUniversity of Iowa
Source SetsUniversity of Iowa
LanguageEnglish
Detected LanguageEnglish
Typethesis
Formatapplication/pdf
SourceTheses and Dissertations
RightsCopyright 2011 Nathaniel Robert Rock

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