Schema Evolution publication categorizer

Research on ontology merging and mapping is one of the most important issues in the Semantic
Web because ontologies are developed and used by various sites and organizations respectively.
Electronic commerce is the area that require ontology mapping on product comparison over
different product classification taxonomies of various shopping malls. But, strict mapping strategy
may lead a customer’s configuration to search failure. Therefore we suggest a mapping algorithm
for product matching that can provide more products by increasing sensitivity with reasonable
decrease of specificity. We compared our algorithm with PROMPT based on experiments with 6
sets of source ontology and target ontology.