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Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.

, , , , , , , , , , , , and . ISWC (P&D/Industry/BlueSky), volume 2180 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)

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Quest: Effcient SPARQL-to-SQL for RDF and OWL., , and . ISWC (Posters & Demos), volume 914 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Evaluating SPARQL-to-SQL Translation in Ontop., , , , , and . ORE, volume 1015 of CEUR Workshop Proceedings, page 94-100. CEUR-WS.org, (2013)Ontop: Answering SPARQL Queries over Relational Databases, , , , , , , and . Semantic Web Journal, (2016)Explanation in DL-Lite., , and . Description Logics, volume 353 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Realizing Ontology Based Data Access: A plug-in for protégé., , and . page 286--289. (2008)Semantic Index: Scalable Query Answering without Forward Chaining or Exponential Rewritings, and . (2011)A knowledge and reasoning toolkit for cognitive applications., , , , , , , , , and . HotWeb, page 13:1-13:10. ACM, (2017)An Extension of DIG 2.0 for Handling Bulk Data., and . OWLED, volume 258 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)Quest, an OWL 2 QL Reasoner for Ontology-based Data Access., and . OWLED, volume 849 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Joint Learning of Local and Global Features for Entity Linking via Neural Networks., , , , , and . COLING, page 2310-2320. ACL, (2016)