Semantic Optimization of Preference Queries

Title: Semantic Optimization of Preference Queries

Research Question: How can we optimize the evaluation of preference queries in a semantic way?

Methodology: The authors propose a number of semantic optimization techniques for preference queries. These techniques aim to remove redundant occurrences of the winnow operator and apply a more efficient algorithm for the computation of winnow. They also study the propagation of integrity constraints in the result of the winnow.

Results: The authors identify necessary and sufficient conditions for the applicability of their techniques. They formulate these conditions as constraint satisfaction problems.

Implications: The semantic optimization techniques presented in this paper can lead to more efficient evaluation of preference queries. This can result in improved performance and better query results. The techniques can also be applied to a variety of preference concepts, such as priorit y, importance, relevance, and reliability.

In conclusion, the semantic optimization techniques proposed in this paper offer a promising approach to improving the efficiency of preference query evaluation. They provide a foundation for further research in this area and have the potential to significantly impact the performance of information systems that use preference queries.

Link to Article: https://arxiv.org/abs/0402003v1 Authors: arXiv ID: 0402003v1