Index Data Structures In Object Oriented Databases
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Index Data Structures in Object-Oriented Databases
Author: Thomas A. Mueck
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Object-oriented database management systems (OODBMS) are used to imple ment and maintain large object databases on persistent storage. Regardless whether the underlying database model follows the object-oriented, the rela tional or the object-relational paradigm, a key feature of any DBMS product is content based access to data sets. On the one hand this feature provides user-friendly query interfaces based on predicates to describe the desired data. On the other hand it poses challenging questions regarding DBMS design and implementation as well as the application development process on top of the DBMS. The reason for the latter is that the actual query performance depends on a technically meaningful use of access support mechanisms. In particular, if chosen and applied properly, such a mechanism speeds up the execution of predicate based queries. In the object-oriented world, such queries may involve arbitrarily complex terms referring to inheritance hierarchies and aggregation paths. These features are attractive at the application level, however, they increase the complexity of appropriate access support mechanisms which are known to be technically non-trivial in the relational world.
ESDA 1996: Object-oriented database management systems ; Intelligent robots and automation systems
Thirty-one papers on the topics announced in the title comprise the second of nine volumes from the July 1996 conference. No index. Annotation c. by Book News, Inc., Portland, Or.
Deductive and Object-oriented Databases
This volume is the proceedings of the Second International Conference on Deductive and Object-Oriented Databases (DOOD). During the last decade, deductive and object-oriented systems have received a great deal of attention, but for the most part these two fields were evolving independently of each other. Today there is a large body of work suggesting that the deductive and object-oriented paradigms complement each other. The object-oriented paradigm is characterized by its view of the data, whereby information is grouped around objects with complex internal structure accessed via methods. The declarative paradigm is centered around the idea that data manipulation must be done through a declarative, logic-based language. It is hoped that these two aspects, brought together in one system, will provide an integrated framework fora new database technology. The DOOD conference brings together researchers and developers in the fields of deductive and object-oriented databases to stimulate technical discussion and accelerate the integration of the two technologies. This volume contains 28 contributed papers (selected from 98 submissions) and two invited papers by world-renowned researchers.