调试大数据图上的空回答查询

E. Vasilyeva, Thomas S. Heinze, Maik Thiele, Wolfgang Lehner
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引用次数: 8

摘要

大量的免费图形数据集阻碍了用户对其进行分析。为此,它们通常提出大量的模式匹配查询并研究其答案。如果没有对数据图的深入了解,用户可能会创建“失败”的查询,从而提供空的答案。分析这些空答案的原因是一项耗时且复杂的任务,特别是对于图查询。为了帮助用户调试这些“失败”的查询,有两种常见的方法:一种是专注于发现数据图中缺失的子图,另一种是尝试重写查询,以便它们提供一些结果。在本演示中,我们将结合这两种方法,并让用户有机会发现为什么所请求的查询会传递空结果。因此,我们提出了DebEAQ,这是一种模式匹配查询的调试工具,它允许比较两种方法,还提供了手动调试查询的功能。
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DebEAQ - debugging empty-answer queries on large data graphs
The large volume of freely available graph data sets impedes the users in analyzing them. For this purpose, they usually pose plenty of pattern matching queries and study their answers. Without deep knowledge about the data graph, users can create `failing' queries, which deliver empty answers. Analyzing the causes of these empty answers is a time-consuming and complicated task especially for graph queries. To help users in debugging these `failing' queries, there are two common approaches: one is focusing on discovering missing subgraphs of a data graph, the other one tries to rewrite the queries such that they deliver some results. In this demonstration, we will combine both approaches and give the users an opportunity to discover why empty results were delivered by the requested queries. Therefore, we propose DebEAQ, a debugging tool for pattern matching queries, which allows to compare both approaches and also provides functionality to debug queries manually.
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