{"title":"支持搜索统计信息模式的企业架构模型","authors":"O. Chertov","doi":"10.14569/IJARAI.2013.020601","DOIUrl":null,"url":null,"abstract":"Enterprise architecture is the stem from which developing of any departmental information system should grow and around which it should revolve. In the paper, a fragment of an enterprise architecture model is built using ArchiMate language. This fragment enables to search for information in enterprises which do not work in productive industry. Such enterprises include official statistics. The proposed model embraces all three architectural levels of corresponding information systems, namely, OLTP, OLAP, and Data Mining. Particularly, the latter level enables to search for patterns of statistical information.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enterprise Architecture Model that Enables to Search for Patterns of Statistical Information\",\"authors\":\"O. Chertov\",\"doi\":\"10.14569/IJARAI.2013.020601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprise architecture is the stem from which developing of any departmental information system should grow and around which it should revolve. In the paper, a fragment of an enterprise architecture model is built using ArchiMate language. This fragment enables to search for information in enterprises which do not work in productive industry. Such enterprises include official statistics. The proposed model embraces all three architectural levels of corresponding information systems, namely, OLTP, OLAP, and Data Mining. Particularly, the latter level enables to search for patterns of statistical information.\",\"PeriodicalId\":323606,\"journal\":{\"name\":\"International Journal of Advanced Research in Artificial Intelligence\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Research in Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14569/IJARAI.2013.020601\",\"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 Journal of Advanced Research in Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14569/IJARAI.2013.020601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enterprise Architecture Model that Enables to Search for Patterns of Statistical Information
Enterprise architecture is the stem from which developing of any departmental information system should grow and around which it should revolve. In the paper, a fragment of an enterprise architecture model is built using ArchiMate language. This fragment enables to search for information in enterprises which do not work in productive industry. Such enterprises include official statistics. The proposed model embraces all three architectural levels of corresponding information systems, namely, OLTP, OLAP, and Data Mining. Particularly, the latter level enables to search for patterns of statistical information.