论文标题
关于事件日志的可解释查询
Explainable Queries over Event Logs
论文作者
论文摘要
可以从业务流程生成的事件日志中提取添加的值。但是，尽管可以在事件日志上执行复杂的计算，但这种计算的结果通常很难解释。特别是，很难确定输入日志的哪些部分在该结果的生产中实际上很重要。本文描述了如何扩展现有的日志处理库，称为蜂蜜，以提供出处的形式：查询产生的单个输出事件可以精确地追溯到对数的数据元素（即“解释”）结果的数据元素。
Added value can be extracted from event logs generated by business processes in various ways. However, although complex computations can be performed over event logs, the result of such computations is often difficult to explain; in particular, it is hard to determine what parts of an input log actually matters in the production of that result. This paper describes how an existing log processing library, called BeepBeep, can be extended in order to provide a form of provenance: individual output events produced by a query can be precisely traced back to the data elements of the log that contribute to (i.e. "explain") the result.
