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Detecting Linked Data Quality Issues via Crowdsourcing: A DBpedia Study, , , , , и . Semantic Web Journal, (2016)PLANET: Query Plan Visualizer for Shipping Policies against Single SPARQL Endpoints., , , , и . ISWC (Posters & Demos), том 1272 из CEUR Workshop Proceedings, стр. 189-192. CEUR-WS.org, (2014)HARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing., , , и . WWW (Companion Volume), стр. 501-505. ACM, (2018)whoVIS: Visualizing Editor Interactions and Dynamics in Collaborative Writing Over Time., и . WWW (Companion Volume), стр. 191-194. ACM, (2015)WikiWho: precise and efficient attribution of authorship of revisioned content., и . WWW, стр. 843-854. ACM, (2014)Semantic Social Web., и . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Consistent data fusion with Parker., и . CoRR, (2022)A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments., и . CoRR, (2021)BreXearch: Exploring Brexit Data Using Cross-Lingual and Cross-Media Semantic Search., , , , и . ISWC (Posters, Demos & Industry Tracks), том 1963 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Modelling and Analysing Dynamic Linked Data using RDF and SPARQL., , и . PROFILES@ISWC, том 1927 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)