Exact learning description logic ontologies from data retrieval examples



Konev, B ORCID: 0000-0002-6507-0494, Ozaki, A and Wolter, F
(2015) Exact learning description logic ontologies from data retrieval examples. In: 28th International Workshop on Description Logics, 2015-6-7 - 2015-6-10, Athens.

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Abstract

We investigate the complexity of learning description logic ontologies in Angluin et al.'s framework of exact learning via queries posed to an oracle. We consider membership queries of the form "is individual a a certain answer to a data retrieval query q in a given ABox and the unkown target TBox?" and equivalence queries of the form "is a given TBox equivalent to the unknown target TBox?".We show that (i) DL-Lite TBoxes with role inclusions and ELI concept expressions on the right-hand side of inclusions and (ii) EL TBoxes without complex concept expressions on the right-hand side of inclusions can be learned in polynomial time. Both results are proved by a non-trivial reduction to learning from subsumption examples.We also show that arbitrary EL TBoxes cannot be learned in polynomial time.

Item Type: Conference or Workshop Item (Paper)
Subjects: ?? QA75 ??
Depositing User: Symplectic Admin
Date Deposited: 21 Aug 2015 15:05
Last Modified: 17 Dec 2022 01:15
Publisher's Statement : Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.
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URI: https://livrepository.liverpool.ac.uk/id/eprint/2021419