符号处理:问题和机会

T. Welch
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引用次数: 0

摘要

符号处理不同于其他类型的计算,例如数字、商业或实时计算,因为它的元数据既复杂又复杂。也就是说,符号程序操作的数据对象具有不简单且不总是可预测的描述。元数据是复杂的,因为数据对象是多方面的,具有各种属性和与其他对象的关系。这种多维数据的处理是分段进行的,每次只涉及几种类型的属性,因此不同的程序必须处理数据的不同投影(或视图)。元数据的复杂之处在于它是递归的,这意味着数据对象的解释需要在不可预测的程度上处理同一对象类的其他实例。因此,元数据的复杂性和复杂性直接转化为处理中的数据管理和资源(空间和时间)管理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symbolic processing: Issues and opportunties
Symbolic processing is distinguished from other types of computation, e.g. numeric, commercial, or real-time, by the fact that its metadata is both complex and complicated. That is, the data objects manipulated by symbolic programs have descriptions which are not simple and not always predictable. The metadata is complex in the sense that the data objects are multi-faceted, having a variety of attributes and relationships to other objects. Processing this multidimensional data is done in slices, involving just a few types of attributes at a time, so different programs must deal with different projections (or views) of the data. The metadata is complicated in that it is recursive, meaning that the interpretation of a data object requires processing other instances of the same object class, to an unpredictable extent. Thus complexity and complication in metadata translate directly into data management and resource (space and time) management problems in processing.
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