TY - GEN
T1 - Probabilistic model for schema understanding and matching
AU - Ratino, Lev Arie
AU - Shimony, Solomon E.
AU - Gudes, Ehud
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Schema matching is the problem of finding a correspondence between schemas - relational database schemas or web repositories. The ad-hoc approaches perform poorly on real-world schemas due to the abundance of non-dictionary abbreviations. Our approach to schema matching is based on deep understanding of the schema, using an integrative probabilistic generative model as a frame-work for comparing candidate interpretations. In empirical evaluation, the proposed model performed well in interpreting relational schemas, and exhibited high resistance to noise in the model parameters.
AB - Schema matching is the problem of finding a correspondence between schemas - relational database schemas or web repositories. The ad-hoc approaches perform poorly on real-world schemas due to the abundance of non-dictionary abbreviations. Our approach to schema matching is based on deep understanding of the schema, using an integrative probabilistic generative model as a frame-work for comparing candidate interpretations. In empirical evaluation, the proposed model performed well in interpreting relational schemas, and exhibited high resistance to noise in the model parameters.
UR - https://www.scopus.com/pages/publications/15744366882
U2 - 10.1109/ICSMC.2004.1401285
DO - 10.1109/ICSMC.2004.1401285
M3 - Conference contribution
AN - SCOPUS:15744366882
SN - 0780385667
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 4768
EP - 4773
BT - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
T2 - 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Y2 - 10 October 2004 through 13 October 2004
ER -