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		<issn>2179-4820</issn>
		<citationkey>MouraDavi:2012:NoHi</citationkey>
		<title>Expansão do conteúdo de um gazetteer: nomes hidrográficos</title>
		<format>On-line, CD-ROM.</format>
		<year>2012</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Moura, Tiago Henrique V. M.,</author>
		<author>Davis Junior, Clodoveu A.,</author>
		<affiliation>Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<affiliation>Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<editor>Namikawa, Laércio Massaru,</editor>
		<editor>Bogorny, Vania,</editor>
		<e-mailaddress>laercio@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 13 (GEOINFO).</conferencename>
		<conferencelocation>Campos do Jordão</conferencelocation>
		<date>25-27 nov. 2012</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>78-83</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Short papers</tertiarytype>
		<transferableflag>1</transferableflag>
		<abstract>The efficiency of a geographic database is directly related with the quality and completeness of its contents. In the case of gazetteers, i.e., place name dictionaries, previous work proposed ontological extensions based on the storage of geographic shape and on multiple types of relationships among places. However, in order to be more useful, gazetteers must contain large volumes of information on a large variety of themes, all of which must be geographically represented and related to places. The objective of this work is to propose techniques to expand a gazetteers content using relevance criteria, increasing its usefulness to solve problems such as place name disambiguation. We demonstrate these techniques using data on Brazilian rivers, which are preprocessed, and the appropriate relationships are identified and created.</abstract>
		<area>SRE</area>
		<subject>Modelling and Representation - Short papers</subject>
		<session>Modelling and Representation - Short papers</session>
		<type>Modelling and Representation - Short papers</type>
		<language>pt</language>
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