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首页> 外文期刊>IEEE Transactions on Knowledge and Data Engineering >Extensions to query languages for graph traversal problems
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Extensions to query languages for graph traversal problems

机译:图形遍历问题的查询语言扩展

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Extensions to database query languages for retrievals that involve inferencing on the nodes and edges of a graph are surveyed. Common types of inferencing are to find paths between two nodes, compute a value for a path such as a distance or an elapsed time, and to choose among alternative paths. The survey is based on the data model (relational or functional), method of extension (iteration, recursion, or special operators), interface style (string or tabular), and restrictions (data- and problem-oriented). The Quel, objected-oriented functional data, G-Whin, and Alpha languages are examined in detail with different values for these properties. The characteristics of other languages are summarized in several tables. The results of the survey indicate the diversity of language extensions and the need to provide data-model and query-language features to address such problems.
机译:调查了涉及查询的数据库查询语言扩展,这些推理涉及在图的节点和边上进行推理。常见的推理类型是查找两个节点之间的路径,计算路径的值(例如距离或经过的时间),并在其他路径中进行选择。该调查基于数据模型(关系或功能),扩展方法(迭代,递归或特殊运算符),界面样式(字符串或表格)和限制(面向数据和问题)。对Quel,面向对象的功能数据,G-Whin和Alpha语言进行了详细检查,并为这些属性使用了不同的值。其他语言的特征汇总在几个表格中。调查结果表明语言扩展的多样性以及提供数据模型和查询语言功能来解决此类问题的需求。

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