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Taking Constraints out of Constraint Databases

机译:从约束数据库中除去约束

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By providing a finite representation for data with infinite semantics, the Constraint Database approach is particularly appropriate for querying spatiotemporal data. Since the introduction of CDBs in the early 1990's, several CDB prototypes have been implemented; however, CDBs have yet to prove their commercial viability. In this paper, we rethink the main contribution behind the Constraint Database (CDB) framework; it's not about constraints! Rather, the main contribution of CDBs is in providing an additional layer to the database architecture, by splitting the logical into abstract and concrete layers. The abstract layer, representing an infinite relational extent of the spatiotemporal data, is the one over which CDB queries are written. The finite data representation is in the concrete layer; traditionally, constraints are used for this representation. By contrast, in current GIS and spatial databases, the representation is based on geometrical structure rather than constraints. We propose a single three-tier architecture that combines these approaches. Its top abstract layer represents the infinite relational extent of the data, but the concrete layer admits both constraint-based and geometric data representations. The resulting constraint-backed systems, while preserving the advantages of CDBs, are more practical than pure constraint databases. By admitting more flexible CDB architectures, where data is not necessarily represented with constraints, significant progress can be made towards producing commercially successful CDB systems.
机译:通过为具有无限语义的数据提供有限表示,约束数据库方法特别适用于查询时空数据。自从1990年代初期引入CDB以来,已经实现了一些CDB原型。但是,CDB尚未证明其商业可行性。在本文中,我们重新考虑了约束数据库(CDB)框架背后的主要贡献。这与约束无关!相反,CDB的主要贡献在于通过将逻辑划分为抽象层和具体层,为数据库体系结构提供了额外的一层。代表时空数据无限关系范围的抽象层是用来编写CDB查询的层。有限的数据表示在混凝土层中。传统上,约束用于此表示。相反,在当前的GIS和空间数据库中,表示是基于几何结构而不是约束。我们提出了一个结合了这些方法的三层体系结构。它的最高抽象层表示数据的无限关系范围,但是具体层同时接受基于约束的数据表示和几何数据表示。得到的约束支持系统在保留CDB优点的同时,比纯约束数据库更实用。通过接受更灵活的CDB体系结构,在这种体系中不一定必须用约束来表示数据,就可以在生产商业上成功的CDB系统方面取得重大进展。

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