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Answering counting aggregate queries over ontologies of the DL-Lite family

Abstract:
One of the main applications of description logics is the ontology-based data access model, which requires algorithms for query answering over ontologies. In fact, some description logics, like those in the DL-Lite family, are designed so that simple queries, such as conjunctive queries, are efficiently computable. In this paper we study counting aggregate queries over ontologies, i.e. queries which use aggregate functions COUNT and COUNT DISTINCT. We propose an intuitive semantics for certain answers for these queries, which conforms to the open world assumption. We compare our semantics with other approaches that have been proposed in different contexts. We establish data and combined computational complexity for the problems of answering counting aggregate queries over ontologies for several variants of DL-Lite.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Association for the Advancement of Artificial Intelligence
Host title:
Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
Pages:
534-540
Publication date:
2013-01-01
ISSN:
2159-5399
ISBN:
9781577356158


Keywords:
Pubs id:
pubs:550201
UUID:
uuid:70f9171f-be74-4b1b-bc71-3f1c897c1159
Local pid:
pubs:550201
Source identifiers:
550201
Deposit date:
2015-12-21
ARK identifier:

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