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LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs.

, , , and . IEEE BigData, page 1823-1830. IEEE Computer Society, (2015)

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Ontology Based Data Integration Over Document and Column Family Oriented NOSQL., , and . CoRR, (2013)Combining Machine Learning and Semantics for Anomaly Detection., , , and . EKAW, volume 11313 of Lecture Notes in Computer Science, page 503-518. Springer, (2018)Triag, a framework based on triangles of RDF triples., and . SBD@SIGMOD, page 3:1-3:6. ACM, (2020)RDF Stream Reasoning via Answer Set Programming on Modern Big Data Platform., , , and . ISWC (P&D/Industry/BlueSky), volume 2180 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Knowledge graph stream processing at the edge., , , , and . DEBS, page 115-125. ACM, (2022)StriderR: Massive and distributed RDF graph stream reasoning., , , , and . IEEE BigData, page 3358-3367. IEEE Computer Society, (2017)LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs., , , and . IEEE BigData, page 1823-1830. IEEE Computer Society, (2015)Refining Health Outcomes of Interest using Formal Concept Analysis and Semantic Query Expansion., , , and . SWAT4LS, volume 1114 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms., , , and . IEEE BigData, page 811-820. IEEE, (2018)SPARQL Graph Pattern Processing with Apache Spark., , and . GRADES@SIGMOD/PODS, page 1:1-1:7. ACM, (2017)