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    On the Geo-Indicativeness of Non-Georeferenced Text (2012)

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    Type of Content
    Conference Contributions - Published
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    http://hdl.handle.net/10092/14994
    
    Related resource(s)
    https://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/download/4629/5010
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    • Science: Conference Contributions [379]
    Authors
    Adams, Ben
    Janowicz, Krzysztof
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    Abstract

    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.

    Citation
    Adams BT, Janowicz K (2012). On the Geo-Indicativeness of Non-Georeferenced Text. Dublin, Ireland: ICWSM 2012. 05/06/2012-07/06/2012. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media. 375-378.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    46 - Information and computing sciences::4606 - Distributed computing and systems software::460608 - Mobile computing
    08 - Information and Computing Sciences::0805 - Distributed Computing::080505 - Web Technologies (excl. Web Search)
    47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
    20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics
    04 - Earth Sciences::0406 - Physical Geography and Environmental Geoscience
    40 - Engineering::4013 - Geomatic engineering::401302 - Geospatial information systems and geospatial data modelling
    Rights
    AAAI authors are granted back the right to use their own papers for noncommercial uses, such as depositing in institutional repository.

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