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Is point-based semantics always adequate for temporal databases?

机译:基于点的语义是否总是适用于时态数据库?

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The analysis of the semantics of temporal data and queries plays a central role in the area of temporal relational databases. Although many different models and algebra have been proposed, almost all of them are based on a point-based (snapshot) semantics of the association of time to tuples/attributes. On the other hand, in the areas of linguistics, philosophy, and recently, artificial intelligence, a very debated issue concerns the use of an interval-based vs. a point-based semantics. We consider a slight adaptation of TSQL2's "consensus" algebra and model, discuss its semantics, and show some critical aspects arisen by the adoption of a point-based semantics.
机译:时态数据和查询的语义分析在时态关系数据库领域中起着核心作用。尽管已经提出了许多不同的模型和代数,但几乎所有模型和代数都基于时间与元组/属性的关联的基于点的(快照)语义。另一方面,在语言学,哲学以及近来的人工智能领域,一个备受争议的问题涉及基于区间的语义和基于点的语义的使用。我们考虑对TSQL2的“共识”代数和模型进行少量修改,讨论其语义,并说明采用基于点的语义所产生的一些关键方面。

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