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Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying.

, , , and . MDM, page 62-71. IEEE Computer Society, (2017)

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WiseKG: Balanced Access to Web Knowledge Graphs., , , , , and . WWW, page 1422-1434. ACM / IW3C2, (2021)Extracting Rankings for Spatial Keyword Queries from GPS Data., , and . LBS, page 173-194. Springer, (2018)Predicting the change of location of mobile phone users., , , and . MobiGIS, page 43-50. ACM, (2013)Star Pattern Fragments: Accessing Knowledge Graphs through Star Patterns., , , and . CoRR, (2020)Skyline Queries over Knowledge Graphs., and . ISWC (1), volume 11778 of Lecture Notes in Computer Science, page 293-310. Springer, (2019)Querying Linked Data: An Experimental Evaluation of State-of-the-Art Interfaces., , and . CoRR, (2019)Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques., , , , and . Comput. J., 59 (6): 908-922 (2016)Analysis of the Effect of Query Shapes on Performance over LDF Interfaces., , and . QuWeDa@ISWC, volume 2496 of CEUR Workshop Proceedings, page 51-66. CEUR-WS.org, (2019)Synthesis of partial rankings of points of interest using crowdsourcing., , and . GIR, page 15:1-15:10. ACM, (2015)Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying., , , and . MDM, page 62-71. IEEE Computer Society, (2017)