An Effective Schema Mapping Model for Decentralized Network

Schema heterogeneity among individual peers is an important issue in PDMS (Peer Data Management System).Schema mapping is a key technology to find the semantic matching relationship between schemas, and it plays an important role in PDMS.In this paper, we address the problem of schema mapping in PDMS, a typical decentralized network.Aiming at the limitations of previous methods, we propose a schema mapping model based on peer interest, schema structure information and query log, and we also considers the uncertainty of schema mapping during query propagation among peers.In our model, the peers with same interest organize a community and the schema mapping is handled in the interest community.We propose a query processing strategy in which the uncertainty of schema mapping in taken into account.In order to supplement the matching and reasoning, we mine the query log to discover the relationship between schema elements and refine the schema mapping further.Experimental results show that our method is feasible and effective for schema mapping in decentralized network.