An object-based relational distributed database system and associated methods of operation that transforms data stored in a plurality of remote, heterogeneous user databases into a homogeneous data model is disclosed. Data stored in distributed, heterogeneous user database structures is homogenized by mapping into object attributes of predetermined instances of objects forming to a conceptual model that relates the various heterogeneous databases. The object attributes are stored in remote databases at client sites, which can be separate computer systems from the heterogeneous user databases or separate processes running on a computer system that maintains the heterogeneous user databases. The system stores location information and status information relating to the homogenized data in a centralized object broker for object management, thereby facilitating location and retrieval of data items from one or more of the remote, heterogeneous user databases.

Methods and systems for object-based relational distributed databases

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Constraint programming languages: their specification and generation

A method and apparatus for accessing and effectively integrating non-object oriented data stores with object applications. An integrating environment is implemented wherein an application using a distributed object database and object database management system (ODBMS) is provided with an interface to external data stores in a manner so as to effect location transparency. The application, accessing data via the ODBMS, can manipulate data in foreign data stores which include external data that is mapped and converted into objects for use by object applications. A storage management application program interface ("SM API"), effects a functional interface for handling objects, referencing objects, implementing iteration and indexing of objects, and implementing object transaction and cache handling. The SM API is part of a modular architecture that includes an external storage manager which implements classes that provide the foundation for engaging external data stores, and which maps and converts external data into objects that can be manipulated by an application using the ODBMS.

Object oriented data store integration environment for integration of object oriented databases and non-object oriented data facilities

Logical tables and logical keys are employed to facilitate interaction between user applications and a relational database. Each logical table is a group of at least one column from a table or view associated with a relational database, and can be utilized like a relational table or view. Each logical primary or foreign key is a key between logical and physical tables that behaves like an actual primary or foreign key. A normalization process allows creation of integrator relational schema objects from existing captured tables. Once a denormalized table is captured from a database the normalization process allows the user to define different logical tables using subsets of the columns of the table. One or more columns of the logical table are designated as primary key. The logical tables interact with the mapping process in the same manner as physical tables.

System for enabling access to a relational database from an object oriented program

Achieving correct changes is the dominant activity in the application software industry. Modification of database schemata is one kind of change which may have severe consequences for database applications. The paper presents a method for measuring modifications to database schemata and their consequences by using a thesaurus tool. Measurements of the evolution of a large-scale database application currently running in several hospitals in the UK are presented and interpreted. The kind of measurements provided by this in-depth study is useful input to the design of change management tools.

/pdf/quantifying-schema-evolution-5b2koceyt6.pdf

Quantifying schema evolution

Object-oriented database systems (OODBS), which aim at meeting the data modeling, performance, cooperative design, and version management requirements of next-generation applications, such as CAD, CAM, CASE, hypermedia, and expert systems, are discussed. Key features of OODBS are presented, a taxonomy of approaches is provided, and architectural and implementation issues, design alternatives, and tradeoffs are examined. A variety of OODB systems, both research prototypes and commercial systems, are summarized. Industry efforts to accelerate a consensus that can lead to standards in the OODB are discussed. >

Object-oriented databases: design and implementation

Special report: the 1988 Object-oriented database workshop

Strawman reference model for change management of objects

Report on the Object-Oriented Database Workshop, Held in Conjuction with OOPSLA '88.

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Object-oriented databases: design and implementation

Special report: the 1988 Object-oriented database workshop

Strawman reference model for change management of objects

Report on the Object-Oriented Database Workshop, Held in Conjuction with OOPSLA '88.