Ontology reasoning with deep neural networks
The ability to conduct logical reasoning is a fundamental aspect of intelligent human behavior, and thus an important problem along the way to human-level artificial intelligence. Traditionally, logic-based symbolic methods from the field of knowledge representation and reasoning have been used to e...
主要な著者: | Hohenecker, P, Lukasiewicz, T |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
AI Access Foundation
2020
|
類似資料
-
Ontology reasoning with deep neural networks (extended abstract)
著者:: Hohenecker, P, 等
出版事項: (2020) -
An ontology-based deep learning approach for knowledge graph completion with fresh entities
著者:: Amador-Domı́nguez, E, 等
出版事項: (2019) -
An ontology−based deep learning approach for triple classification with out−of−knowledge−base entities
著者:: Amador−Domı́nguez, E, 等
出版事項: (2021) -
Hybrid reasoning with rules and ontologies
著者:: Drabent, W, 等
出版事項: (2009) -
A Logical Toolbox for Ontological Reasoning
著者:: Calì, A, 等
出版事項: (2011)