Michael K. Lawrence, R. Pottinger, S. Staub-French
{"title":"异构领域的数据协调","authors":"Michael K. Lawrence, R. Pottinger, S. Staub-French","doi":"10.1109/ICDEW.2010.5452757","DOIUrl":null,"url":null,"abstract":"Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sources. In this paper, we describe extensions to the popular GLAV mapping formalism to express such relationships. We outline methods for solving the data coordination problem using these mappings, and discuss future research problems for data coordination to be realized in heterogeneous domain scenarios that occur in practice.","PeriodicalId":442345,"journal":{"name":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Coordination of data in heterogenous domains\",\"authors\":\"Michael K. Lawrence, R. Pottinger, S. Staub-French\",\"doi\":\"10.1109/ICDEW.2010.5452757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sources. In this paper, we describe extensions to the popular GLAV mapping formalism to express such relationships. We outline methods for solving the data coordination problem using these mappings, and discuss future research problems for data coordination to be realized in heterogeneous domain scenarios that occur in practice.\",\"PeriodicalId\":442345,\"journal\":{\"name\":\"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDEW.2010.5452757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2010.5452757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Existing semantic integration approaches to coordinating data do not meet the needs of real world scenarios which contain fine-grained relationships between data sources. In this paper, we describe extensions to the popular GLAV mapping formalism to express such relationships. We outline methods for solving the data coordination problem using these mappings, and discuss future research problems for data coordination to be realized in heterogeneous domain scenarios that occur in practice.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
