A Description Logic for Analogical Reasoning
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 2040-2046.
https://doi.org/10.24963/ijcai.2021/281
Keywords
- Knowledge Representation and Reasoning: Common-Sense Reasoning
- Knowledge Representation and Reasoning: Description Logics and Ontologies
Abstract
Ontologies formalise how the concepts from a given domain are interrelated. Despite their clear potential as a backbone for explainable AI, existing ontologies tend to be highly incomplete, which acts as a significant barrier to their more widespread adoption. To mitigate this issue, we present a mechanism to infer plausible missing knowledge, which relies on reasoning by analogy. To the best of our knowledge, this is the first paper that studies analogical reasoning within the setting of description logic ontologies. After showing that the standard formalisation of analogical proportion has important limitations in this setting, we introduce an alternative semantics based on bijective mappings between sets of features. We then analyse the properties of analogies under the proposed semantics, and show among others how it enables two plausible inference patterns: rule translation and rule extrapolation.
@inproceedings{ijcai2021p281,
title = {A Description Logic for Analogical Reasoning},
author = {Schockaert, Steven and Ibáñez-García, Yazmín and Gutiérrez-Basulto, Víctor},
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 = {2040--2046},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/281},
url = {https://doi.org/10.24963/ijcai.2021/281},
}
TY - CPAPER TI - A Description Logic for Analogical Reasoning AU - Schockaert, Steven AU - Ibáñez-García, Yazmín AU - Gutiérrez-Basulto, Víctor T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 2040 EP - 2046 DO - 10.24963/ijcai.2021/281 UR - https://doi.org/10.24963/ijcai.2021/281 ER -Copied
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