GRIP: Constraint-based Explanation of Missing Answers for Graph Queries
GRIP: Constraint-based Explanation of Missing Answers for Graph Queries
复制标题
DOI：
10.1145/3448016.3452758
复制
发表时间：
2021-06
期刊：
影响因子：
--
通讯作者：
Qi Song;Hanchao Ma;Peng Lin;Yinghui Wu
中科院分区：
文献类型：
--
作者：
Qi Song;Hanchao Ma;Peng Lin;Yinghui Wu
图查询引擎的一个有用特性是在查询答案中澄清“为什么某些实体（节点、属性值或边）缺失”。当底层数据源中已经缺少相关数据时，此任务更具挑战性。另一方面，可以通过对图实施数据约束来推断缺失的数据。我们展示了GRIP，一个利用数据约束来澄清图查询缺失答案的系统。(1)基于约束的解释。给定查询答案中缺少所需的实体，GRIP确保生成有限和最小的数据约束序列（“解释”），这些序列应该连续执行，以确保在同一查询中出现它。(2)回答？“为什么”和“怎样”的问题。用户可以用“为什么”（“为什么”缺少元素）和“如何”问题（“如何”改进图形以包含缺少的答案）来查询GRIP。GRIP引擎通过增量维护一组双向搜索树来支持运行时的解释生成。(3)互动探索。GRIP提供用户友好的GUI，以支持交互式广告可视化的探索解释，包括自动生成和图形操作的逐步检查。
A useful feature in graph query engines is to clarify "Why certain entities (nodes, attribute values or edges) are missing" in query answers. This task is even more challenging when the relevant data is already missing in the underlying data source. Missing data, on the other hand, can be inferred by enforcing data constraints for graphs. We demonstrate GRIP, a system that exploits data constraints to clarify missing answers for graph queries. (1) Constraint-based ex- planation. Given a desired yet missing entity in the query answer, GRIP ensures to generate finite and minimal sequences of data constraints (an "explanation") that should be consecutively enforced to to ensure its occurrence for the same query. (2) Answering ?why" and "how" questions. Users can query GRIP with both "Why" ("Why" the element is missing) and "How" questions ("How" to refine the graph to include the missing answer). GRIP engine supports run- time generation of explanations by incrementally maintaining a set of bi-directional search trees. (3) Interactive exploration. GRIP provides user-friendly GUI to support interactive ad visual exploration of explanations, including both automated generation and step-by-step inspection of graph manipulations.