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- W2784372938 abstract "Geo-Knowledge which is known as semantic enriched geographic information plays an important role in many intelligent applications like named-entity recognition and information retrieval. With the development of Internet, volunteers on web-based crowdsourcing platforms like OpenStreetMap (OSM) and Wikidata have contributed big geographic data which however have not been widely studied towards extracting and linking geo-knowledge. In this paper, we presented a crowdsourced geographic knowledge graph named CrowdGeoKG which extracted different kinds of geo-entities from OpenStreetMap and enriched them with human geography knowledge from Wikidata. We further exploited the part of CrowdGeoKG in China, studying the linkage between OpenStreetMap geo-entities and Wikidata geo-entities. CrowdGeoKG is stored in both RDF (Resource Description Framework) and JSON-LD formats, and shared for re-usage on an open knowledge graph community named OpenKG." @default.
- W2784372938 created "2018-02-02" @default.
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- W2784372938 date "2017-01-01" @default.
- W2784372938 modified "2023-10-18" @default.
- W2784372938 title "CrowdGeoKG: Crowdsourced Geo-Knowledge Graph" @default.
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- W2784372938 doi "https://doi.org/10.1007/978-981-10-7359-5_17" @default.
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