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Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments.

, and . WWW, page 1047-1057. ACM, (2022)

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Detecting Linked Data Quality Issues via Crowdsourcing: A DBpedia Study, , , , , and . Semantic Web Journal, (2016)PLANET: Query Plan Visualizer for Shipping Policies against Single SPARQL Endpoints., , , , and . ISWC (Posters & Demos), volume 1272 of CEUR Workshop Proceedings, page 189-192. CEUR-WS.org, (2014)whoVIS: Visualizing Editor Interactions and Dynamics in Collaborative Writing Over Time., and . WWW (Companion Volume), page 191-194. ACM, (2015)HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing., , , and . WWW (Companion Volume), page 501-505. ACM, (2018)WikiWho: precise and efficient attribution of authorship of revisioned content., and . WWW, page 843-854. ACM, (2014)Semantic Social Web., and . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks., and . Proc. ACM Manag. Data, 2 (1): 44:1-44:26 (February 2024)Estimating Characteristic Sets for RDF Dataset Profiles Based on Sampling., and . ESWC, volume 12123 of Lecture Notes in Computer Science, page 157-175. Springer, (2020)RDF-Hunter: Automatically Crowdsourcing the Execution of Queries Against RDF Data Sets., , , , and . CoRR, (2015)Evaluating Adaptive Query Processing Techniques for Federations of SPARQL Endpoints, and . (2011)