Resolving Semantic Heterogeneity in Databases with a Terminological Model: Correspondence Refinement

The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate schemas to be integrated must be rich and precise semantically, i.e., each of their data elements1 must be sufficiently defined for to be distinguished from others or identified to some of them. Our schema integration method for federated databases is a terminological reasoning-based approach. It deals with the integration of terminologies that translate the export schemas (parts of DB2 schemas which participate to the federation). In spite of it's semantic power, the terminological formalism can't express entirely and precisely the real world semantics of schema data elements . To achieve this goal, we think that it is necessary to define refined and complete correspondence relationships between terms. Then, we propose to extend their semantics by a set of additional implicit knowledge which is no...

• Type: Conference
• Year: 1996
• Where: DLOG
• Authors: Ounissa Larab, Aïcha-Nabila Benharkat
• Keywords: Automated Reasoning, Correspondence Relationships, DLOG 1996, Schema Integration, Schema Integration Method