Marco Taddeo, Alberto Trombetta, D. Montesi, S. Pierantozzi
{"title":"跨不同法律域查询数据","authors":"Marco Taddeo, Alberto Trombetta, D. Montesi, S. Pierantozzi","doi":"10.1145/2513591.2513642","DOIUrl":null,"url":null,"abstract":"The management of legal domains is gaining great importance in the context of data management. In fact, the geographical distribution of data as implied -- for example -- by cloud-based services requires that the legal restrictions and obligations are to be taken into account whenever data circulates across different legal domains. In this paper, we start to investigate an approach for coping with the complex issues that arise when dealing with data spanning different legal domains. Our approach consists of a conceptual model that takes into account the notion of legal domain (to be paired with the corresponding data) and a reference architecture for implementing our approach in an actual relational DBMS.","PeriodicalId":93615,"journal":{"name":"Proceedings. International Database Engineering and Applications Symposium","volume":"11 1","pages":"192-197"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Querying data across different legal domains\",\"authors\":\"Marco Taddeo, Alberto Trombetta, D. Montesi, S. Pierantozzi\",\"doi\":\"10.1145/2513591.2513642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The management of legal domains is gaining great importance in the context of data management. In fact, the geographical distribution of data as implied -- for example -- by cloud-based services requires that the legal restrictions and obligations are to be taken into account whenever data circulates across different legal domains. In this paper, we start to investigate an approach for coping with the complex issues that arise when dealing with data spanning different legal domains. Our approach consists of a conceptual model that takes into account the notion of legal domain (to be paired with the corresponding data) and a reference architecture for implementing our approach in an actual relational DBMS.\",\"PeriodicalId\":93615,\"journal\":{\"name\":\"Proceedings. International Database Engineering and Applications Symposium\",\"volume\":\"11 1\",\"pages\":\"192-197\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Database Engineering and Applications Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2513591.2513642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Database Engineering and Applications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2513591.2513642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The management of legal domains is gaining great importance in the context of data management. In fact, the geographical distribution of data as implied -- for example -- by cloud-based services requires that the legal restrictions and obligations are to be taken into account whenever data circulates across different legal domains. In this paper, we start to investigate an approach for coping with the complex issues that arise when dealing with data spanning different legal domains. Our approach consists of a conceptual model that takes into account the notion of legal domain (to be paired with the corresponding data) and a reference architecture for implementing our approach in an actual relational DBMS.