科学书目参考文献的逻辑结构识别

François Parmentier, A. Belaïd
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引用次数: 17

摘要

提出了一种书目参考文献逻辑结构识别方法。目标是为每个引用(以Postscript等显示格式给出)生成包含已识别字段层次结构的结构化数据。由于参考书目之间的差异(例如,字段的顺序和排版格式,或作者的写作风格),我们需要一个健壮且宽容的系统架构。因此,识别是由一个概念导向的系统执行的,该系统使用一个从参考数据库自动建立的模型。该模型表示参考字段,并包含其术语出现的统计信息。识别是通过逐步激活更相关的概念来实现的。每个激活的概念都会导致执行适当的搜索代理。这种体系结构是健壮的和不确定的,即使在困难的情况下也可以提供解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logical structure recognition of scientific bibliographic references
Presents an approach for the logical structure recognition of bibliographic references. The objective is to produce, for each reference (given in a display format such as Postscript), structured data containing the hierarchy of fields recognized. As a result of variation among bibliographic references (in the order and typographic format of fields, or writing style of the author, for example), we need a robust and tolerant system architecture. Thus, recognition is performed by a concept-oriented system that uses a model which is automatically built from a reference database. This model represents the reference fields and includes statistics on the occurrence of their terms. Recognition is achieved by a step-by-step activation of the more pertinent concepts. Each activated concept causes the execution of an appropriate searching agent. This architecture is robust and non-deterministic, allowing a solution even in difficult cases.
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