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		<issn>2179-4820</issn>
		<citationkey>MouraDavi:2013:DeOpPe</citationkey>
		<title>Linked geospatial data: desafios e oportunidades de pesquisa</title>
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		<year>2013</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Moura, Tiago Henrique V. M. de,</author>
		<author>Davir Junior, Clodoveu A.,</author>
		<affiliation>Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<affiliation>Universidade Federal de Minas Gerais (UFMG)</affiliation>
		<editor>Andrade, Pedro Ribeiro,</editor>
		<editor>Santanchè, André,</editor>
		<e-mailaddress>seki@dsr.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 14 (GEOINFO).</conferencename>
		<conferencelocation>Campos do Jordão</conferencelocation>
		<date>24-27 nov. 2013</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>6</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Short papers</tertiarytype>
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		<abstract>Linked Geospatial Data is a proposal for the dissemination of geographic information in an open format, based on standards adopted by the Web of Data. The semantic enrichment that comes from knowledge about relationships among spatial data is a potential source of solutions for traditional problems in geographic information retrieval, such as ambiguity resolution and the recognition of the geographic context of documents. This work discusses the applicability of linked data concepts to these problems and presents a set of challenges and opportunities for research on geographic information retrieval and related topics.</abstract>
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