IJCAI 2020poster0 citations

Provenance for the Description Logic ELHr

Camille Bourgaux, Ana Ozaki, Rafael Penaloza, Livia Predoiu

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 an 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.

Knowledge Representation and Reasoning: Description Logics and OntologiesKnowledge Representation and Reasoning: Logics for Knowledge RepresentationKnowledge Representation and Reasoning: Computational Complexity of Reasoning
BibTeX
@inproceedings{ijcai2020p258,
  title     = {Provenance for the Description Logic ELHr},
  author    = {Bourgaux, Camille and Ozaki, Ana and Penaloza, Rafael and Predoiu, Livia},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {1862--1869},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/258},
  url       = {https://doi.org/10.24963/ijcai.2020/258},
}