{"title":"决策的注释","authors":"G. Cabanac, M. Chevalier, F. Ravat, O. Teste","doi":"10.4018/978-1-60566-748-5.CH004","DOIUrl":null,"url":null,"abstract":"This chapter deals with an annotation-based decisional system. The decisional system we present is based on multidimensional databases, which are composed of facts and dimensions. The expertise of decision-makers is modelled, shared and stored through annotations. These annotations allow decision-makers to carry on active analysis and to collaborate with other decision-makers on a common analysis.","PeriodicalId":255230,"journal":{"name":"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decisional Annotations\",\"authors\":\"G. Cabanac, M. Chevalier, F. Ravat, O. Teste\",\"doi\":\"10.4018/978-1-60566-748-5.CH004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter deals with an annotation-based decisional system. The decisional system we present is based on multidimensional databases, which are composed of facts and dimensions. The expertise of decision-makers is modelled, shared and stored through annotations. These annotations allow decision-makers to carry on active analysis and to collaborate with other decision-makers on a common analysis.\",\"PeriodicalId\":255230,\"journal\":{\"name\":\"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-60566-748-5.CH004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-60566-748-5.CH004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This chapter deals with an annotation-based decisional system. The decisional system we present is based on multidimensional databases, which are composed of facts and dimensions. The expertise of decision-makers is modelled, shared and stored through annotations. These annotations allow decision-makers to carry on active analysis and to collaborate with other decision-makers on a common analysis.
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