A survey of approaches to automatic schema matching

@article{citeulike:1039, abstract = {Schema matching is a basic problem in many database application domains, such as data integration, E-business, data warehousing, and semantic query processing. In current implementations, schema matching is typically performed manually, which has significant limitations. On the other hand, previous research papers have proposed many techniques to achieve a partial automation of the match operation for specific application domains. We present a taxonomy that covers many of these existing...}, author = {Rahm, Erhard and Bernstein, Philip A.}, citeulike-article-id = {1039}, journal = {VLDB Journal: Very Large Data Bases}, keywords = {information, integration, matching, schema}, month = {????}, number = {4}, pages = {334--350}, posted-at = {2006-02-22 22:22:32}, priority = {0}, title = {A survey of approaches to automatic schema matching}, url = {http://citeseer.ist.psu.edu/rahm01survey.html}, volume = {10}, year = {2001} }

TY - JOUR ID - citeulike:1039 L3 - citeulike-article-id:1039 N2 - Schema matching is a basic problem in many database application domains, such as data integration, E-business, data warehousing, and semantic query processing. In current implementations, schema matching is typically performed manually, which has significant limitations. On the other hand, previous research papers have proposed many techniques to achieve a partial automation of the match operation for specific application domains. We present a taxonomy that covers many of these existing... IS - 4 JF - VLDB Journal: Very Large Data Bases EP - 350 TI - A survey of approaches to automatic schema matching VL - 10 SP - 334 KW - information KW - integration KW - matching KW - schema AU - Rahm, Erhard AU - Bernstein, Philip PY - 2001/????// UR - http://citeseer.ist.psu.edu/rahm01survey.html ER -