Talks and Poster Presentations (with Proceedings-Entry):

M.-P. Andresel, Y.A. Ibanez Garcia, M. Ortiz de la Fuente, M. Simkus:
"Relaxing and Restraining Queries for OBDA";
Poster: AAAI 2019 - 33rd Conference on Artificial Intelligence, Honolulu, Hawaii; 2019-01-27 - 2019-02-01; in: "The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019", (2019), 2654 - 2661.

English abstract:
We advocate the use of ontologies for relaxing and restraining queries, so that they retrieve either more or less answers, enabling the exploration of a given dataset. We propose a set of rewriting rules to relax and restrain conjunctive queries (CQs) over datasets mediated by an ontology written in a dialect of DL-Lite with complex role inclusions (CRIs). The addition of CRI enables the representation of knowledge about data involving ordered hierarchies of categories, in the style of multi-dimensional data models. Although CRIs in general destroy the first-order rewritability of CQs, we identify settings in which CQs remain rewritable.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Related Projects:
Project Head Mantas Simkus:

Project Head Mantas Simkus:

Created from the Publication Database of the Vienna University of Technology.