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Nearly Periodic Facts in Temporal Relational Databases

机译:时间关系数据库中的近乎周期性的事实

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Despite the huge amount of work devoted to the treatment of time within the relational context, few relevant temporal phenomena still remain to be addressed. One of them is the treatment of “nearly periodic events ”, i.e., events/facts that occur in intervals of time which repeat periodically (e.g., a meeting occurring twice each Monday, possibly not at regular times). Nearly periodic events are quite frequent in everyday life, and thus in many applicative contexts. Their treatment within the relational model is quite challenging, since it involves the integrated treatment of three aspects: (i) the number of repetitions, (ii) their periodicity, and (iii) temporal indeterminacy. Coping with this problem requires an in-depth extension of current temporal relational database techniques. In this paper, we introduce a new data model, and new definitions of relational algebraic operators coping with the above issues. We ascertain the properties of the new model and algebra, with emphasis on the expressiveness of our representation model, on the reducibility property, and on the correctness of the algebraic operators.
机译:尽管在关系上下文中花费了大量的时间来处理时间,但是仍然很少有相关的时间现象需要解决。其中之一是对“近乎周期性的事件”的处理,即在一定时间间隔内发生的事件/事实,这些事件/事实会定期重复(例如,每个星期一开会两次,可能不是定期举行)。近乎周期性的事件在日常生活中非常频繁,因此在许多应用场合中也是如此。在关系模型中对它们的处理非常具有挑战性,因为它涉及三个方面的综合处理:(i)重复次数,(ii)周期性,以及(iii)时间不确定性。为了解决这个问题,需要对当前的时间关系数据库技术进行深入扩展。在本文中,我们介绍了一个新的数据模型,以及应对上述问题的关系代数算子的新定义。我们确定新模型和代数的性质,重点是表示模型的表达性,可约性和代数算子的正确性。

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