Nested transactions: an approach to reliable distributed computing
Nested transactions: an approach to reliable distributed computing
ACM Computing Surveys (CSUR)
Relational database writings (1985–1989)
Relational database writings (1985–1989)
An approach to knowledge base management
An approach to knowledge base management
Extensible database management systems
ACM SIGMOD Record - Directions for future database research & development
The POSTGRES next generation database management system
Communications of the ACM
Extensible/rule based query rewrite optimization in Starburst
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
Experiences building the open OODB query optimizer
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Component software: beyond object-oriented programming
Component software: beyond object-oriented programming
Query Optimization in Database Systems
ACM Computing Surveys (CSUR)
Tigukat: a uniform behavioral objectbase management system
The VLDB Journal — The International Journal on Very Large Data Bases - Persistent object systems
Of Objects and Databases: A Decade of Turmoil
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Enhanced abstract data types in object-relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
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To meet the ever challenging requirements of today's applications, both database research and industry are being engaged in adding new features to database management systems (DBMSs). As a major effort in this direction, object-relational DBMSs (ORDBMSs) gain more and more popularity due to their extensibility, i. e., allowing user-defined facilities to be used in the same way as built-in ones.Inspired by this idea, we started to develop a prototype ORIENT to enhance DBMSs with complex relationship semantics that are versatile in the real world, but still insufficiently supported by the new database technology. Our work reveals that data model changes to accommodate relationship semantics imply extensions at the processing level, which are, however, not feasible in "extensible" ORDBMSs. Proper integration of new processing capabilities calls for a more open approach to database extensibility than what the current ORDBMSs exhibit.