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    On the Geo-Indicativeness of Non-Georeferenced Text

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    AdamsJanowicz2012.pdf (1.561Mb)
    Author
    Adams BT
    Janowicz K
    Date
    2012
    Permanent Link
    http://hdl.handle.net/10092/14994

    Geographic location is a key component for information retrieval on the Web, recommendation systems in mobile computing and social networks, and place-based integration on the Linked Data cloud. Previous work has addressed how to estimate locations by named entity recognition, from images, and via structured data. In this paper, we estimate geographic regions from unstructured, non geo-referenced text by computing a probability distribution over the Earth’s surface. Our methodology combines natural language processing, geostatistics, and a data-driven bottom-up semantics. We illustrate its potential for mapping geographic regions from non geo-referenced text.

    Subjects
    Field of Research::08 - Information and Computing Sciences::0805 - Distributed Computing::080502 - Mobile Technologies
     
    Field of Research::08 - Information and Computing Sciences::0805 - Distributed Computing::080505 - Web Technologies (excl. Web Search)
     
    Field of Research::20 - Language, Communication and Culture::2004 - Linguistics::200408 - Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)
     
    Field of Research::20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics
     
    Field of Research::04 - Earth Sciences::0406 - Physical Geography and Environmental Geoscience
     
    Field of Research::09 - Engineering::0909 - Geomatic Engineering::090903 - Geospatial Information Systems
    Collections
    • Science: Conference Contributions [261]

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