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Top-k Relevant Semantic Place Retrieval on Spatial RDF Data
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
RDF data are traditionally accessed using structured query languages, such as SPARQL. However, this requires users to understand the language as well as the RDF schema. Keyword search on RDF data aims at relieving the user from these requirements; the user only inputs a set of keywords and the goal is to find small RDF subgraphs which contain all keywords. At the same time, popular RDF knowledge bases also include spatial semantics, which opens the road to location-based search operations. In
doi:10.1145/2882903.2882941
dblp:conf/sigmod/ShiWM16
fatcat:v2pbun5x45gkndtk6el5kxje4y