Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs

Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavičius

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

20 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019)
Editors	Pascal Van Hentenryck, Zhi-Hua Zhou
Pages	2962-2969
Number of pages	8
DOIs	https://doi.org/10.1609/aaai.v33i01.33012962
Publication status	Published - Jan 2019
Event	33rd AAAI Conference on Artificial Intelligence, AAAI 2019 - Honolulu, United States Duration: 27 Jan 2019 → 1 Feb 2019

Conference	33rd AAAI Conference on Artificial Intelligence, AAAI 2019
Country/Territory	United States
City	Honolulu
Period	27/01/2019 → 1/02/2019

Access to Document

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title = "Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs",

author = "Thomas Lukasiewicz and Enrico Malizia and Andrius Vaicenavi{\v c}ius",

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Lukasiewicz, T, Malizia, E & Vaicenavičius, A 2019, Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. in P Van Hentenryck & Z-H Zhou (eds), Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019). pp. 2962-2969, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, Honolulu, Hawaii, United States, 27/01/2019. https://doi.org/10.1609/aaai.v33i01.33012962

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. / Lukasiewicz, Thomas; Malizia, Enrico; Vaicenavičius, Andrius.
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019). ed. / Pascal Van Hentenryck; Zhi-Hua Zhou. 2019. p. 2962-2969.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

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AU - Vaicenavičius, Andrius

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BT - Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019)

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T2 - 33rd AAAI Conference on Artificial Intelligence, AAAI 2019

Y2 - 27 January 2019 through 1 February 2019

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