Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach

@article{Shekhar1993LearningTR,
  title={Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach},
  author={Shashi Shekhar and Babak Hamidzadeh and Ashim Kohli and Mark Coyle},
  journal={IEEE Trans. Knowl. Data Eng.},
  year={1993},
  volume={5},
  pages={950-964}
}
Learning query transformation rules is vital for the success of semantic query optimization in domains where the user cannot provide a comprehensive set of integrity constraints. Finding these rules is a discovery task because of the lack of targets. Previous approaches to learning query transformation rules have been based on analyzing past queries. We propose a new approach to learning query transformation rules based on analyzing the existing data in the database. This paper describes a… CONTINUE READING

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