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Detecting Inconsistencies in Large First-Order Knowledge Bases.

, , , and . CADE, volume 10395 of Lecture Notes in Computer Science, page 310-325. Springer, (2017)

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Practical Knowledge Representation and the DARPA High Performance Knowledge Bases Project., , , and . KR, page 717-724. Morgan Kaufmann, (2000)Large theory reasoning with SUMO at CASC., , , and . AI Commun., 23 (2-3): 137-144 (2010)Reasoning from imperfect knowledge., and . Cogn. Syst. Res., (2017)The DARPA High-Performance Knowledge Bases Project., , , , , , , and . AI Magazine, 19 (4): 25-49 (1998)Detecting Inconsistencies in Large First-Order Knowledge Bases., , , and . CADE, volume 10395 of Lecture Notes in Computer Science, page 310-325. Springer, (2017)Knowledge Engineering for Large Ontologies with Sigma KEE 3.0., and . IJCAR, volume 8562 of Lecture Notes in Computer Science, page 519-525. Springer, (2014)Representation and Retrieval of Images by Means of Spatial Relations Between Objects., , , and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, volume 2350 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Aligning Conference Ontologies with SUMO: A Report on Manual Alignment via WordNet., , , and . JOWO, volume 2518 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)The Annual SUMO Reasoning Prizes at CASC., , , and . PAAR/ESHOL, volume 373 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)A framework for constructing cognition ontologies using WordNet, FrameNet, and SUMO., and . Cogn. Syst. Res., (2015)