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Semantic enrichment of places with vgi sources: a knowledge based approach

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Published in Proceedings of the 10th Workshop on Geographic Information Retrieval. Burlingame (California) - 31 October 2016 - New York, NY, USA: ACM Press. 2016
Abstract We propose a categorization algorithm for text content description such as tags for images from social media or crowd sourcing services, to identify places characteristics. The algorithm is based on a spatial coverage and a multi-facets categorization. We describe how it can be applied to individually process images from Flickr in order to extract geo-spatial knowledge. It is particularly dedicated for places with a small number of photos. The extraction process is done using categorization rules based on geographic and terminological knowledge resources.
Keywords VGICoverageFolksonomyGeographic informationSemantic
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ISBN: 978-1-4503-4588-0
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Research group Institute of Information Service Science (ISS)
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TARDY, Camille, FALQUET, Gilles, MOCCOZET, Laurent. Semantic enrichment of places with vgi sources: a knowledge based approach. In: Proceedings of the 10th Workshop on Geographic Information Retrieval. Burlingame (California). New York, NY, USA : ACM Press, 2016. https://archive-ouverte.unige.ch/unige:92815

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Deposited on : 2017-03-24

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