Conference Paper

ERROL: An Entity-Relationship, Role Oriented, Query Language.

Conference: Proceedings of the 3rd Int. Conf. on Entity-Relationship Approach (ER'83)
Source: DBLP
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    ABSTRACT: In this overview we briefly describe a collection of tools developed at Lawrence Berkeley Laboratory (LBL) for aiding users in specifying database structures and in querying databases using object-oriented concepts on top of commercial relational database management systems. These tools are based on an Extended Entity-Relationship (EER) model and allow users to deal with concise EER structures and queries rather than relational database definitions and queries which are usually large, hard to maintain, and involve terms that obscure the semantics of the application. Using the LBL/EER database tools users are insulated from the underlying database management system, and thus can avoid learning database management specific concepts and query languages. 1 Introduction Database applications involve large amounts of data that must be maintained and made available to users for analysis and manipulation. Database management systems (DBMSs) provide the capabilities required for stor...
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    ABSTRACT: A query language called the Concise Object Query Language (COQL) is described. COQL is unique in its conciseness, in its support of inheritance, and in the capabilities it provides for defining application-specific structures. The COQL-to-SQL translation, its implementation on top of a commercial relational DBMS, and the ways in which COQL can be used for constructing application-specific views for scientific applications are discussed. The typical three-level architecture approach for supporting data management applications and previous work on the translation of extended entity-relationships schemas into relational database management system schemas are reviewed
    Data Engineering, 1993. Proceedings. Ninth International Conference on; 05/1993
  • Source
    Journal of Visual Languages & Computing 01/1997; 8(2):215-260. · 0.56 Impact Factor