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Data integration is the process of collecting data from different datasources and providing user with unified view of answers that meet hisrequirements. The quality of query answers can be improved by identifying thequality of data sources according to some quality measures and retrieving datafrom only significant ones. Query answers that returned from significant datasources can be ranked according to quality requirements that specified in userquery and proposed queries types to return only top-k query answers. In thispaper, Data integration framework called data integration to return rankedalternatives (DIRA) will be introduced depending on data quality assessmentmodule that will use data sources quality to choose the significant ones andranking algorithm to return top-k query answers according to different queriestypes.

DIRA: A Framework Of Data Integration Using Data Quality