Object-oriented query language access to relational databases: A semantic framework for query translation

Abstract

Abstract. This research investigates an approach to query processing in a multidatabase system that uses an objectoriented model to capture the semantics of other data models. The object-oriented model is used to construct a global schema, defining an integrated view of the different schemas in the environment. The model is also used as a self-describing model to build a meta-database for storing information about the global schema. A unique aspect of this work is that the object-oriented model is used to describe the different data models of the multidatabase environment, thereby extending the meta database with semantic information about the local schemas. With the global and local schemas all represented in an object-oriented form, structural mappings between the global schema and each local schema are then easily supported. An object algebra then provides a query language for expressing global queries, using the structural mappings to translate object algebra queries into SQL queries over local relational schema. The advantage of using an object algebra is that the object-oriented database can be viewed as a blackboard for temporary storage of local data and for establishing relationships between different databases. The object algebra can be used to directly retrieve temporarily-stored data from the object-oriented database or to transparently retrieve data from local sources using the translation process described in this paper.

Improving Integration Effectiveness of ID Mapping Based Biological Record Linkage

“…From this standpoint, the query translation approach is prudent and cost-effective in ways similar to many high profile systems that have enjoyed acceptance in the past [47], [48]. In fact, despite their relatively slower performance compared to a direct implementation, language translation has often been the de facto standard for testing language properties [49], [50] due to the negligible implementation cost, especially as a research prototype.…”