Title :
Profile-based object matching for information integration
Author :
Doan, AnHai ; Lu, Ying ; Lee, Yoonkyong ; Han, Jiawei
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
Abstract :
Traditional object-matching methods rely on similarities among shared attributes. Profile-based object matching builds on this approach but also correlates disjoint attributes to improve matching accuracy. To illustrate the PROM approach, we use two relational tables: one contains information about movies, the other about movie reviews.
Keywords :
Internet; Web sites; relational databases; Web page; disjoint attributes; information integration; profile-based object matching; relational database; relational tables; shared attributes; tuples; Artificial intelligence; Data mining; Databases; Government; Information management; Merging; Motion pictures; PROM; Springs; Warehousing;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2003.1234770
