Structured document handling—a case for integrating databases and information retrieval
CIKM '94 Proceedings of the third international conference on Information and knowledge management
HyperStorM: an extensible object-oriented hypermedia engine
Proceedings of the the seventh ACM conference on Hypertext
Logic-Based Query Optimization for Object Databases
IEEE Transactions on Knowledge and Data Engineering
The Case for Enhanced Abstract Data Types
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Inferring Function Semantics to Optimize Queries
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
A graph-theoretic model for optimizing queries involving methods
The VLDB Journal — The International Journal on Very Large Data Bases
Enhanced abstract data types in object-relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
OOHS: An Object-Oriented Hypermedia System
COMPSAC '96 Proceedings of the 20th Conference on Computer Software and Applications
A unifying framework for behavior-based trust models
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Admissible record-oriented evaluation plans for declarative updates
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
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Although the main difference between the relational and the object-oriented data model is the possibility to define object behavior, query optimization techniques in object-oriented database systems are mainly based on the structural part of objects. We claim that the optimization potential emerging from methods has been strongly underestimated so far. In this paper we concentrate on the question of how semantic knowledge about methods can be considered in query optimization. We rely on the algebraic and rule-based approach for query optimization and present a framework that allows to integrate schema-specific knowledge by tailoring the query optimizer according to the particular application's needs. We sketch an implementation of our concepts within the OODBMS VODAK using the Volcano optimizer generator.