Andrius Vaicenavičius
Interests
I am interested in query answering when there are conflicts in the database. In particular, I work with inconsistency-tolerant semantics in the ontology language of Datalog +/-. Understanding the complexity of existing inconsistency tolerant semantics and developing new more accurate semantics are my main interests.
In addition to that, I am interested in optimisation problems and their theoretical study.
Biography
I have obtained BA and MMath degrees in Mathematics at the University of Oxford. My master thesis "A Study of Weighted Clones" was awarded a Gibbs prize as one of the two best Mathematics master thesis at Oxford.
Selected Publications
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Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs
Thomas Lukasiewicz‚ Enrico Malizia and Andrius Vaicenavičius
In Proceedings of the 33rd National Conference on Artificial Intelligence‚ AAAI 2019‚ Honolulu‚ Hawaii‚ USA‚ January 27 − February 1‚ 2019. AAAI Press. January, 2019.
Details about Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs | BibTeX data for Complexity of Inconsistency−Tolerant Query Answering in Datalog+⁄− under Cardinality−Based Repairs
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Minimal Weighted Clones with Boolean Support
Details about Minimal Weighted Clones with Boolean Support | BibTeX data for Minimal Weighted Clones with Boolean Support | DOI (10.1109/ISMVL.2016.10)