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Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks., , , , and . Inf. Syst., 74 (Part): 103-116 (2018)An infrastructure for probabilistic reasoning with web ontologies., , , , , and . Semantic Web, 8 (2): 255-269 (2017)A Purely Logic-based Approach to Approximate Matching of Semantic Web Services., , and . SMRR@ISWC, volume 667 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Analyzing real-world SPARQL queries and ontology-based data access in the context of probabilistic data., and . Int. J. Approx. Reason., (2017)YARR!: Yet Another Rewriting Reasoner., and . ORE, volume 1015 of CEUR Workshop Proceedings, page 19-25. CEUR-WS.org, (2013)Root Cause Analysis through Abduction in Markov Logic Networks., , , , and . EDOC, page 1-8. IEEE Computer Society, (2016)IT Risk Management with Markov Logic Networks., , and . CAiSE, volume 8484 of Lecture Notes in Computer Science, page 301-315. Springer, (2014)Towards Large-Scale Probabilistic OBDA., and . SUM, volume 9310 of Lecture Notes in Computer Science, page 106-120. Springer, (2015)Marrying Uncertainty and Time in Knowledge Graphs., , , and . AAAI, page 88-94. AAAI Press, (2017)Using Abduction in Markov Logic Networks for Root Cause Analysis., , , , and . CoRR, (2015)