David Carral
Dr. David Carral
Wissenschaftlicher Mitarbeiter Wissensbasierte Systeme
- David.Carral@tu-dresden.de
- +49 351 463 38314
- APB 3035
Hi!
I am a postdoctoral scholar here at the Knowledge-Based Systems group led by Prof. Dr. Markus Krötzsch. Broadly speaking, I am interested in symbolic artificial intelligence and knowledge representation related topics. More precisely, I study the theoretical properties of logical languages such as Description Logics and Existential Rules, and the use and application of Semantic Technologies in different domains.
A bit about my academic career: I completed my master's and doctor's degrees at Wright State University, both under the supervision of Prof. Dr. Pascal Hitzler, in 2012 and 2016, respectively. For a couple months at the beginning of my Ph.D., I was an exchange student at the University of Oxford, working under the supervision of Prof. Dr. Bernardo Cuenca Grau.
Neueste Publikationen
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David Carral, Markus Krötzsch
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), to appear
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David Carral, Jacopo Urbani
Checking Chase Termination over Ontologies of Existential Rules with Equality
Proceedings of the 34rd Conference on Artificial Intelligence (AAAI 2020), February 2020
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David Carral, Markus Krötzsch, Jacopo Urbani
Practical Uses of Existential Rules in Knowledge Representation
This tutorial will be presented at the 17th International Conference on Principles of Knowledge Representation and Reasoning, September 2020
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David Carral, Larry González, Patrick Koopmann
From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion Entailment
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32st International Workshop on Description Logics (DL 2019), volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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David Carral, Irina Dragoste, Larry González, Ceriel Jacobs, Markus Krötzsch, Jacopo Urbani
VLog: A Rule Engine for Knowledge Graphs
In Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel F. Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon, eds., Proceedings of the 18th International Semantic Web Conference (ISWC'19) Part II, volume 11779 of LNCS, October 2019. Springer
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David Carral, Irina Dragoste, Markus Krötzsch
Chasing Sets: How to Use Existential Rules for Expressive Reasoning (Extended Abstract)
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32nd International Workshop on Description Logics, volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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David Carral, Irina Dragoste, Markus Krötzsch, Christian Lewe
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), August 2019. International Joint Conferences on Artificial Intelligence
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David Carral, Larry González, Patrick Koopmann
From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion Entailment
Proceedings of the 33rd Conference on Artificial Intelligence (AAAI 2019), January 2019
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David Carral, Irina Dragoste, Markus Krötzsch
The Combined Approach to Query Answering in Horn-ALCHOIQ (Extended Abstract)
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32nd International Workshop on Description Logics, volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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David Carral, Irina Dragoste, Markus Krötzsch
Tractable Query Answering for Expressive Ontologies and Existential Rules: Extended Abstract
Proceedings of the 31st International Workshop on Description Logics (DL 2018), October 2018
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- Mitglied des Programmkomitees der 17th International Semantic Web Conference; Monterey, USA; October 2018.
Lehrveranstaltungen
- Database Theory (SS 2020)
- Seminar Selected Topics in Database Theory (WS 2019)
- Complexity Theory (WS 2019)
- Seminar Selected Topics on Existential Rules (SS 2019)
- Database Theory (SS 2019)
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