scholar.google.com › citations
This paper describes an approach using an inductive learning algorithm to solve the problem. In our approach, learning is triggered by user queries.
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn re-.
In our approach, learning is triggered by user queries and then the system induces semantic rules from the information in databases. The inductive learning ...
Using Inductive Learning To Generate Rules for Semantic Query Optimization · Computer Science. Advances in Knowledge Discovery and Data Mining · 1996.
But the problem of how to learn required semantic rules has not previously been solved. This paper describes an approach using an inductive learning algorithm ...
People also ask
What is rule-based query optimization?
What is the main heuristic rule for query optimization?
What is semantic query optimization?
How is query optimization performed?
Rule Induction for Semantic Query Optimization. Hsu, C. & Knoblock, C. A. In Proceedings of the Eleventh International Conference on Machine Learning, New ...
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn the ...
Bibliographic details on Rule Induction for Semantic Query Optimization.
In our approach, learning is triggered by user queries and then the system induces semantic rules from the information in databases. The inductive learning ...
This inductive learning algorithm can automatically select useful join paths and attributes to construct rules from a database with many relations. The learned ...
Missing: Induction | Show results with:Induction