Bi-Level Mapping: Combining Schema and Data Level Heterogeneity in Peer Data Sharing Systems

Abstract. Peer data sharing systems use either schema-level or data-level mappings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings create structural relationships among different schemas. On the other hand, data-level mappings associate data values in two different sources. These two kinds of mappings are complementary to each other. However, existing peer database systems have been based solely on either one of these mappings. We believe that if both mappings are addressed simultaneously in a single framework, the resulting approach will enhance data sharing in a way such that we can overcome the limitations of the non-combined approaches. In this paper, we introduce a model of a peer database management system(PDMS) which uses a mapping that combines schema-level and data-level mappings. We call this new kind of mapping bi-level mapping. We present the syntax and semantics of bi-level mappings. We also provide a query evaluation proce...

• Type: Conference
• Year: 2009
• Where: AMW
• Authors: Md. Anisur Rahman, Mehedi Masud, Iluju Kiringa, Abdulmotaleb El-Saddik
• Keywords: AMW 2009, AMW 2010, Data Sharing, Data-level Mappings, Mappings