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Volumn , Issue , 2013, Pages 87-94

Automatic gazetteer enrichment with user-geocoded data

Author keywords

approximate string match; fuzzy match; gazetteer enrichment; gazetteer expansion; geo tag; geographic information retrieval (GIR); location

Indexed keywords

INFORMATION RETRIEVAL; LOCATION;

EID: 84889645244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2534732.2534736     Document Type: Conference Paper
Times cited : (23)

References (33)
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    • Haklay, M.1
  • 17
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    • Bottom-up gazetteers: Learning from the implicit semantics of geotags
    • K. Janowicz, M. Raubal, and S. Levashkin (Eds.) GeoS 2009, Springer, Heidelberg
    • Kessler, C., Maue, P, Heuer, J.T., Bartoschek, T. 2009. Bottom-up gazetteers: learning from the implicit semantics of geotags. K. Janowicz, M. Raubal, and S. Levashkin (Eds.) GeoS 2009, LNCS 5892, 83-102. Springer, Heidelberg.
    • (2009) LNCS , vol.5892 , pp. 83-102
    • Kessler, C.1    Maue, P.2    Heuer, J.T.3    Bartoschek, T.4
  • 18
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    • Kessler, C., Janowicz, K., Bishr, M. 2009. An agenda for the next generation gazetteer: geographic information contribution and retrieval. ACM GIS '09, November 4-6, 2009, Seattle, WA, 91-100.
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    • Kessler, C.1    Janowicz, K.2    Bishr, M.3
  • 20
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    • Modeling locations with social media
    • O'Hare, N. and Murdock, V. 2013. Modeling locations with social media. Information Retrieval 16 (2013), 30-62.
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    • O'Hare, N.1    Murdock, V.2
  • 23
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    • Supervised Machine Learning Approach for Duplicate Detection over Gazetteer Records
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    • Martins, B.1
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    • Vague regions in geographic information retrieval
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    • Schockaert, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.