The Common Core Ontologies
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866916359398490112 |
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| author | Jensen, Mark De Colle, Giacomo Kindya, Sean More, Cameron Cox, Alexander P. Beverley, John |
| author_facet | Jensen, Mark De Colle, Giacomo Kindya, Sean More, Cameron Cox, Alexander P. Beverley, John |
| contents | The Common Core Ontologies (CCO) are designed as a mid-level ontology suite that extends the Basic Formal Ontology. CCO has since been increasingly adopted by a broad group of users and applications and is proposed as the first standard mid-level ontology. Despite these successes, documentation of the contents and design patterns of the CCO has been comparatively minimal. This paper is a step toward providing enhanced documentation for the mid-level ontology suite through a discussion of the contents of the eleven ontologies that collectively comprise the Common Core Ontology suite. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_17758 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Common Core Ontologies Jensen, Mark De Colle, Giacomo Kindya, Sean More, Cameron Cox, Alexander P. Beverley, John Artificial Intelligence Databases Logic in Computer Science The Common Core Ontologies (CCO) are designed as a mid-level ontology suite that extends the Basic Formal Ontology. CCO has since been increasingly adopted by a broad group of users and applications and is proposed as the first standard mid-level ontology. Despite these successes, documentation of the contents and design patterns of the CCO has been comparatively minimal. This paper is a step toward providing enhanced documentation for the mid-level ontology suite through a discussion of the contents of the eleven ontologies that collectively comprise the Common Core Ontology suite. |
| title | The Common Core Ontologies |
| topic | Artificial Intelligence Databases Logic in Computer Science |
| url | https://arxiv.org/abs/2404.17758 |