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Towards Temporal Fuzzy Query Answering on Stream-based Data.

, and . HiDeSt@KI, volume 1447 of CEUR Workshop Proceedings, page 56-69. CEUR-WS.org, (2015)

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Bridging the application knowledge gap: using ontology-based situation recognition to support energy-aware resource scheduling., , , and . ARM@Middleware, page 3:1-3:6. ACM, (2014)Implementing an ALCRP(D) ABox Reasoner - Progress Report., , and . Description Logics, volume 11 of CEUR Workshop Proceedings, CEUR-WS.org, (1998)Temporal Query Answering in DL-Lite over Inconsistent Data., and . International Semantic Web Conference (1), volume 10587 of Lecture Notes in Computer Science, page 121-137. Springer, (2017)Towards Approximative Most Specific Concepts by Completion for EL with Subjective Probabilities., and . UniDL, volume 613 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)On the computation of common subsumers in description logics.. Dresden University of Technology, (2007)Answering Fuzzy Conjunctive Queries Over Finitely Valued Fuzzy Ontologies., , , and . J. Data Semantics, 5 (2): 55-75 (2016)Ontology-mediated query answering over temporal and inconsistent data., , and . Semantic Web, 10 (3): 475-521 (2019)Preface to the Speical Issue on Reasoning about Preferences, Uncertainty, and Vagueness., , and . FLAP, (2017)Employing DL-Lite_R -Reasoners for Fuzzy Query Answering., and . JIST, volume 8943 of Lecture Notes in Computer Science, page 63-78. Springer, (2014)OWL 2 Reasoning To Detect Energy-Efficient Software Variants From Context., , , and . OWLED, volume 1080 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)