In e-commerce environment, business partners exchange product information in the form of ecatalogs. Since each business player uses his/her own classification and identification code for describing ecatalogs, it is not easy to match his/her product with the e-catalog requested by his/her partner. To date, these matches have been accomplished through the manual work of domain experts. Therefore, many attempts have been made to create a standard to solve this problem. This research focuses on improving the e-catalog information match process in order to integrate and exchange catalogs among various ecatalog systems. We suggest an index structure, MCI (Massive Catalog Index), which is optimized for searching large heterogeneous e-catalog databases. MCI is capable of searching vast catalog databases quickly as well as recommending precise e-catalog matches.