Schema Matching (SM) and Record Matching (RM) are two necessary steps in integrating multiple relational tables of different schemas, where SM unifies the schemas and RM detects records referring to the same real-world entity. The two processes have been thoroughly studied separately, but few attention has been paid to the interaction of SM and RM. In this work we find that, even alternating them in a simple manner, SM and RM can benefit from each other to reach a better integration performance (i.e., in terms of precision and recall). Therefore, combining SM and RM is a promising solution for improving data integration.
|Original language||English (US)|
|Title of host publication||2017 IEEE 33rd International Conference on Data Engineering (ICDE)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||2|
|State||Published - May 18 2017|