{"title":"形式概念分析中的元建模","authors":"Yingjian Wang","doi":"arxiv-2408.02435","DOIUrl":null,"url":null,"abstract":"Formal Concept Analysis starts from a very basic data structure comprising\nobjects and their attributes. Sometimes, however, it is beneficial to also\ndefine attributes of attributes (so-called meta-attributes). In this paper, we\nuse Triadic Formal Concept Analysis(a triadic approach to Formal Concept\nAnalysis) to develop a framework for this kind of meta-modelling in Formal\nConcept Analysis, including formal definitions and appropriate visualizations.","PeriodicalId":501306,"journal":{"name":"arXiv - MATH - Logic","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-Modelling in Formal Concept Analysis\",\"authors\":\"Yingjian Wang\",\"doi\":\"arxiv-2408.02435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Formal Concept Analysis starts from a very basic data structure comprising\\nobjects and their attributes. Sometimes, however, it is beneficial to also\\ndefine attributes of attributes (so-called meta-attributes). In this paper, we\\nuse Triadic Formal Concept Analysis(a triadic approach to Formal Concept\\nAnalysis) to develop a framework for this kind of meta-modelling in Formal\\nConcept Analysis, including formal definitions and appropriate visualizations.\",\"PeriodicalId\":501306,\"journal\":{\"name\":\"arXiv - MATH - Logic\",\"volume\":\"70 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Logic\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.02435\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.02435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 (so-called 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.