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Optimization technique of queries with plural predicates for a topic map database

机译:主题图数据库中具有多个谓词的查询的优化技术

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When a user submits a query to the topic map database, there are multiple ways to retrieve target elements. In the previous study, although cost based query optimization applied to the topic map database was proposed, it was limited to queries including a single predicate. In this paper, we propose cost based query optimization for queries consisting of plural predicates. We also evaluate the proposed cost by comparing it with the running time of queries submitted to TOME.
机译:当用户向主题地图数据库提交查询时,有多种方法可以检索目标元素。在先前的研究中,尽管提出了将基于成本的查询优化应用于主题地图数据库的建议,但它仅限于包含单个谓词的查询。在本文中,我们为包含多个谓词的查询提出了基于成本的查询优化。我们还通过将提议的成本与提交给TOME的查询的运行时间进行比较来评估提议的成本。

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