2015
DOI: 10.1007/978-3-319-26190-4_11
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OSCAR: OpenStreetMap Planet at Your Fingertips via OSm Cell ARrangements

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Cited by 3 publications
(6 citation statements)
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“…Therefore, the key to this approach is building a knowledge base that captures possible semantics of natural language phrases (a lexicon). Researchers consider a small set of spatial relations for querying, as discussed in [30], [129], which includes near, inside, and within a specified distance and along with specific cardinal relationships [129]. It has also been demonstrated how topological and metric concepts can evaluate the semantic similarities between various natural language queries using a set of 15 spatial relations.…”
Section: Existing Query Methodsmentioning
confidence: 99%
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“…Therefore, the key to this approach is building a knowledge base that captures possible semantics of natural language phrases (a lexicon). Researchers consider a small set of spatial relations for querying, as discussed in [30], [129], which includes near, inside, and within a specified distance and along with specific cardinal relationships [129]. It has also been demonstrated how topological and metric concepts can evaluate the semantic similarities between various natural language queries using a set of 15 spatial relations.…”
Section: Existing Query Methodsmentioning
confidence: 99%
“…The available commercial search engines like Google and Bing Maps have been used by many applications for querying and geo-referencing, while current free/OSM-based search engines are still way behind. Our research uses OSCAR, which uses freely available OSM-data and, due to its substring searches, performs better in cases of the unknown spelling or incomplete names (as discussed in [30]) compared with Google and other search engines [30].The next sections will provide us with the processing pipeline and details about how our prototype works.…”
Section: Existing Query Methodsmentioning
confidence: 99%
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