期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2016
卷号：6
期号：2
页码：37
DOI：10.5121/ijdkp.2016.6204
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Data integration is the process of collecting data from different data sources and providing user withunified view of answers that meet his requirements. The quality of query answers can be improved byidentifying the quality of data sources according to some quality measures and retrieving data from onlysignificant ones. Query answers that returned from significant data sources can be ranked according toquality requirements that specified in user query and proposed queries types to return only top-k queryanswers. In this paper, Data integration framework called Data integration to return ranked alternatives(DIRA) will be introduced depending on data quality assessment module that will use data sources qualityto choose the significant ones and ranking algorithm to return top-k query answers according to differentqueries types.
