{"title":"Confinement process for information retrieval from multi-source environment","authors":"J. A. Nasir, M. Pasha, M. Shahzad","doi":"10.1109/ICET.2005.1558937","DOIUrl":null,"url":null,"abstract":"The data source schema undergoes changes overtime in response to evolving business requirements so the retrieval from sources becomes more complex and unmanageable. This paper describes the transparent retrieval framework called confinement information retrieval process (CIRP), which provides transparency to user for multi-source data access and integration. We believe that our framework provides the wide range of transparencies for data to decision support systems. Which are important to improve the decision-making and scope when we access and integrate the data from multiple sources. Framework is fully automated to maintain the source changes and provide the degree of autonomy to sources with out compromising the semantic heterogeneity.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2005.1558937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The data source schema undergoes changes overtime in response to evolving business requirements so the retrieval from sources becomes more complex and unmanageable. This paper describes the transparent retrieval framework called confinement information retrieval process (CIRP), which provides transparency to user for multi-source data access and integration. We believe that our framework provides the wide range of transparencies for data to decision support systems. Which are important to improve the decision-making and scope when we access and integrate the data from multiple sources. Framework is fully automated to maintain the source changes and provide the degree of autonomy to sources with out compromising the semantic heterogeneity.