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A Formal model of search control in semantic query optimization

Author: Dutta, Soumitra INSEAD Area: Technology and Operations ManagementIn: Data and Knowledge Engineering, vol. 8, no. 2, 1992 Language: EnglishDescription: p. 131-151.Type of document: INSEAD ArticleNote: Please ask the Library for this articleAbstract: Semantic query optimization (SQO) is a promising new approach to using ideas from artificial intelligence in query optimization. One difficult problem during the process of SQO is that of determining the tradeoff between planning and execution costs. This paper presents a formal model of the above tradeoff and applies it to control the search process during SQO
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Semantic query optimization (SQO) is a promising new approach to using ideas from artificial intelligence in query optimization. One difficult problem during the process of SQO is that of determining the tradeoff between planning and execution costs. This paper presents a formal model of the above tradeoff and applies it to control the search process during SQO

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