Schema Evolution publication categorizer

Schema matching is a basic problem nowadays in many application areas, such as data integration,
data warehouse and e-business. In this paper, we propose a generic schema matching method called
GSM (Generic Schema Matching) and its optimizing approaches. GSM provides an extensible
library of match algorithms to support multi-strategy matching approach. It also uses a mapping
knowledge base to leverage previous matching experiences. Finally, we use GSM on the real world
schemas and provide its experimental results.