Practical query rewriting for dl-lite with numerical predicates∗

Christian Alrabbaa, Patrick Koopmann, Anni-Yasmin Turhan

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

We present a method for answering ontology-mediated queries for DL-Lite extended with a concrete domain, where we allow concrete domain predicates to be used in the query as well. Our method is based on query rewriting, a well-known technique for ontology-based query answering (OBQA), where the knowledge provided by the ontology is compiled into the query so that the rewritten query can be evaluated directly over a database. This technique reduces the problem of query answering w.r.t. an ontology to query evaluation over a database instance. Specifically, we consider members of the DL-Lite family extended with unary and binary concrete domain predicates over the real numbers. While approaches for query rewriting DL-Lite with these concrete domain have been investigated theoretically, these approaches use a combined approach in which also the data is processed, and require the concrete domain values occurring in the data to be known in advance, which makes the procedure data-dependent. In contrast, we show how rewritings can be computed in a data-independent fashion.
Original languageEnglish
Title of host publicationProceedings of the 5th Global Conference on Artificial Intelligence, GCAI 2019
EditorsD. Calvanese, L. Iocchi
PublisherEasyChair
Pages15-27
Volume65
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event5th Global Conference on Artificial Intelligence, GCAI 2019 - Bolzano, Italy
Duration: 17 Sept 201919 Sept 2019

Publication series

NameEPiC Series in Computing
ISSN (Electronic)2398-7340

Conference

Conference5th Global Conference on Artificial Intelligence, GCAI 2019
Country/TerritoryItaly
CityBolzano
Period17/09/1919/09/19

Funding

Supported by the DFG in the CRC 912 (HAEC), in the TRR 248 (CPEC), and in the GRK 1763 (QuantLA).

FundersFunder number
HAEC
QuantLA
California Postsecondary Education CommissionGRK 1763
Deutsche Forschungsgemeinschaft

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