Massive Catalog Index based Search for e-Catalog Matching

In e-commerce environment, business partners exchange product information in the form of e-catalogs. Since each business player uses his/her own classification and identification code for describing e-catalogs, 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 e-catalog 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.