{"title":"数据PER模型","authors":"Hristo Tujarov, S. Kalchev, Vassil Milev","doi":"10.1145/2516775.2516792","DOIUrl":null,"url":null,"abstract":"In this paper the model PER (Process Entity Relationships) for semantic data modeling is presented, based on process and architectural approach. Terms, symbols and conventions used are explained. The levels of the model were described, and some example models are given.","PeriodicalId":316788,"journal":{"name":"International Conference on Computer Systems and Technologies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data PER model\",\"authors\":\"Hristo Tujarov, S. Kalchev, Vassil Milev\",\"doi\":\"10.1145/2516775.2516792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the model PER (Process Entity Relationships) for semantic data modeling is presented, based on process and architectural approach. Terms, symbols and conventions used are explained. The levels of the model were described, and some example models are given.\",\"PeriodicalId\":316788,\"journal\":{\"name\":\"International Conference on Computer Systems and Technologies\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Systems and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2516775.2516792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2516775.2516792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper the model PER (Process Entity Relationships) for semantic data modeling is presented, based on process and architectural approach. Terms, symbols and conventions used are explained. The levels of the model were described, and some example models are given.
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