Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
The Structural Model for Database Design
Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Exploring the use of domain knowledge for query processing efficiency
Exploring the use of domain knowledge for query processing efficiency
On the design, use, and integration of data models
On the design, use, and integration of data models
Parsing in the absence of a complete lexicon
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
Improving Query Evaluation with Approximate Functional Dependency Based Decompositions
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
Research in knowledge base management systems
ACM SIGMOD Record
| Hi-index | 0.00 |
There is growing agreement about the usefulness of putting semantic database constraints into explicit form that can be manipulated by various database management programs. Indeed, this is a prerequisite for building intelligent database mediators. These are programs that perform the task of a good database analyst: to pose the most effective and easily processed queries to help solve a problem. Semantic query optimization is a technique to exploit semantic constraints for one aspect of intelligent database mediation: increasing retrieval efficiency. The technique is to use semantic constraints to transform a query into an equivalent one that can be processed more efficiently. Various kinds of semantic knowledge that can be used for this purpose are described.