Meta-Modelling in Formal Concept Analysis
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913463207460864 |
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| author | Wang, Yingjian |
| author_facet | Wang, Yingjian |
| contents | Formal Concept Analysis starts from a very basic data structure comprising objects and their attributes. Sometimes, however, it is beneficial to also define attributes of attributes, viz., meta-attributes. In this paper, we use Triadic Formal Concept Analysis, a triadic approach to Formal Concept Analysis, to develop a framework for this kind of meta-modelling in Formal Concept Analysis, including formal definitions and appropriate visualizations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_02435 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Meta-Modelling in Formal Concept Analysis Wang, Yingjian Logic Logic in Computer Science Knowledge representation and reasoning Formal Concept Analysis starts from a very basic data structure comprising objects and their attributes. Sometimes, however, it is beneficial to also define attributes of attributes, viz., meta-attributes. In this paper, we use Triadic Formal Concept Analysis, a triadic approach to Formal Concept Analysis, to develop a framework for this kind of meta-modelling in Formal Concept Analysis, including formal definitions and appropriate visualizations. |
| title | Meta-Modelling in Formal Concept Analysis |
| topic | Logic Logic in Computer Science Knowledge representation and reasoning |
| url | https://arxiv.org/abs/2408.02435 |