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The Thought Behind the Symbol: About the Automatic Interpretation and Representation of UDC Numbers

机译：符号背后的想法：关于UDC数字的自动解释和表示

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摘要

Analytico-synthetic and faceted classifications, such as Universal Decimal Classification (UDC) provide facilities to express pre-coordinated subject statements using syntactic relations. In this case, the relevance, in the process of UDC-based information retrieval, can be determined by extracting the meaning of the classmarks as precisely as is possible. The central question here is how the identification mentioned above can be supported by automatic means and an analysis of the structure of complex classmarks appears to be an obvious requirement. Many bibliographic sources contain complex UDC classmarks which are stored as simple text strings and on which it is very difficult to perform any meaningful information discovery. The paper presents results from a phase of ongoing research focused on developing a new platform-independent, machine-processable data format capable of representing the whole syntactic structure of the composite UDC numbers to support their further automatic processing. An algorithm that can produce the representation of the numbers in such a format directly from their designations has also been developed and implemented. The research also includes implementing conversion methods to provide outputs that can be employed by other software directly and, as a service, make them available for other software. The paper provides an overview of the solutions developed and implemented since 2015 and outlines future research plans.
机译：诸如通用十进制分类法（UDC）之类的解析综合分类法提供了使用语法关系表达预先协调的主题陈述的便利。在这种情况下，在基于UDC的信息检索过程中，可以通过尽可能精确地提取类别标记的含义来确定相关性。此处的中心问题是如何通过自动方式支持上述识别，并且对复杂分类标记的结构进行分析似乎是显而易见的要求。许多书目源包含复杂的UDC类标记，这些类标记存储为简单的文本字符串，并且很难在其上执行任何有意义的信息发现。本文介绍了正在进行的研究阶段的结果，该阶段的重点是开发一种新的，与平台无关的，机器可处理的数据格式，该数据格式能够表示复合UDC数字的整个语法结构，以支持其进一步的自动处理。已经开发并实现了一种可以直接从数字名称中产生数字格式表示的算法。该研究还包括实现转换方法，以提供可被其他软件直接使用的输出，并作为服务将其提供给其他软件使用。本文概述了自2015年以来开发和实施的解决方案，并概述了未来的研究计划。

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