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- W162175005 abstract "We present a recommender system that suggests geo-located text tags by using linguistic information extracted from Linked Data sets available on the Web. The recommender system performs tag matching by measuring the semantic similarity of natural language texts. Our approach evaluates similarity using a technique that compares sentences taking into account their grammatical structure." @default.
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- W162175005 date "2013-01-01" @default.
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- W162175005 title "Recommendation of Text Tags in Social Applications Using Linked Data" @default.
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- W162175005 doi "https://doi.org/10.1007/978-3-319-04244-2_17" @default.
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