Approximate Reasoning for Large-Scale ABox in OWL DL Based on Neural-Symbolic Learning
The ontology knowledge base (KB) can be divided into two parts: TBox and ABox, where the former models schema-level knowledge within the domain, and the latter is a set of statements of assertions or facts about instances. ABox reasoning is a process of discovering implicit knowledge in ABox based o...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2023-01-01
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| coleção: | Mathematics |
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| Acesso em linha: | https://www.mdpi.com/2227-7390/11/3/495 |
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