Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 1929-1935.
https://doi.org/10.24963/ijcai.2021/266
Keywords
- Knowledge Representation and Reasoning: Diagnosis and Abductive Reasoning
- Knowledge Representation and Reasoning: Computational Complexity of Reasoning
- Knowledge Representation and Reasoning: Description Logics and Ontologies
Abstract
Given a knowledge base and an observation as a set of facts,
ABox abduction aims at computing a hypothesis that, when added to the
knowledge base, is sufficient to entail the observation. In signature-based
ABox abduction, the hypothesis is further required to use only names from a
given set. This form of abduction has applications such as diagnosis, KB
repair, or explaning missing entailments. It is possible that hypotheses for
a given observation only exist if we admit the use of fresh individuals
and/or complex concepts built from the given signature, something most
approaches for ABox abduction so far do not allow or only allow
with restrictions. In this paper, we investigate the computational complexity
of this form of abduction---allowing either fresh individuals, complex concepts,
or both---for various description logics, and give size bounds on the hypotheses
if they exist.
@inproceedings{ijcai2021p266,
title = {Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics},
author = {Koopmann, Patrick},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {1929--1935},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/266},
url = {https://doi.org/10.24963/ijcai.2021/266},
}
TY - CPAPER TI - Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics AU - Koopmann, Patrick T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 1929 EP - 1935 DO - 10.24963/ijcai.2021/266 UR - https://doi.org/10.24963/ijcai.2021/266 ER -Copied
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