We address the problem of handling provenance information in ELHr ontologies. We consider a setting recently introduced for ontology-based data access, based on semirings and extending classical data provenance, in which ontology axioms are annotated with provenance tokens. A consequence inherits the provenance of the axioms involved in deriving it, yielding a provenance polynomial as annotation. We analyse the semantics for the ELHr case and show that the presence of conjunctions poses various difficulties for handling provenance, some of which are mitigated by assuming multiplicative idempotency of the semiring. Under this assumption, we study three problems: ontology completion with provenance, computing the set of relevant axioms for a consequence, and query answering.

Bourgaux, C., Ozaki, A., Penaloza, R., Predoiu, L. (2020). Provenance for the Description Logic ELHr. In IJCAI International Joint Conference on Artificial Intelligence (pp.1862-1869). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2020/258].

Provenance for the Description Logic ELHr

Penaloza R;
2020

Abstract

We address the problem of handling provenance information in ELHr ontologies. We consider a setting recently introduced for ontology-based data access, based on semirings and extending classical data provenance, in which ontology axioms are annotated with provenance tokens. A consequence inherits the provenance of the axioms involved in deriving it, yielding a provenance polynomial as annotation. We analyse the semantics for the ELHr case and show that the presence of conjunctions poses various difficulties for handling provenance, some of which are mitigated by assuming multiplicative idempotency of the semiring. Under this assumption, we study three problems: ontology completion with provenance, computing the set of relevant axioms for a consequence, and query answering.
paper
description logics; provenance
English
29th International Joint Conference on Artificial Intelligence, IJCAI 2020 - January 7-15, 2021
2021
Bessiere, C
IJCAI International Joint Conference on Artificial Intelligence
9780999241165
2020
2021-January
1862
1869
https://doi.org/10.24963/ijcai.2020/258
open
Bourgaux, C., Ozaki, A., Penaloza, R., Predoiu, L. (2020). Provenance for the Description Logic ELHr. In IJCAI International Joint Conference on Artificial Intelligence (pp.1862-1869). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2020/258].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/412717
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