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Descripción
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| In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords. On what concerns locations and time-spans, metadata records are often incomplete or they provide information in a way that is not machine-understandable (e.g. textual descriptions). This paper presents techniques for extracting geotemporal information from text, using relatively simple text mining methods that leverage on a Web gazetteer service. The idea is to go from human-made geotemporal referencing (i.e. using place and period names in textual expressions) into geo-spatial coordinates and time-spans. A prototype system, implementing the proposed methods, is described in detail. Experimental results demonstrate the efficiency and accuracy of the proposed approaches. | |
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Internacional
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No |
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JCR del ISI
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No |
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Título de la revista
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e-Perimetron: International Web journal on sciences and technologies affined to history of cartography and maps |
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ISSN
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1790-3769 |
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Factor de impacto JCR
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0 |
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Información de impacto
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Volumen
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DOI
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Número de revista
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0 |
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Desde la página
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25 |
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Hasta la página
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37 |
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Mes
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ENERO |
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Ranking
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