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A rule-based approach for recognition of chemical structure diagrams

机译:基于规则的识别化学结构图的方法

摘要

In chemical literature much information is given in the form of diagrams depicting chemical structures. In order to access this information electronically, diagrams have to be recognized and translated into a processable format. Although a number of approaches have been proposed for the recognition of molecule diagrams in the literature, they traditionally employ procedural methods with limited flexibility and extensibility. This thesis presents a novel approach that models the principal recognition steps for molecule diagrams in a strictly rule based system. We develop a framework that enables the definition of a set of rules for the recognition of different bond types and arrangements as well as for resolving possible ambiguities. This allows us to view the diagram recognition problem as a process of rewriting an initial set of geometric artefacts into a graph representation of a chemical diagram without the need to adhere to a rigid procedure. We demonstrate the flexibility of the approach by extending it to capture new bond types and compositions. In experimental evaluation we can show that an implementation of our approach outperforms the currently available leading open source system. Finally, we discuss how our framework could be applied to other automatic diagram recognition tasks.ud
机译:在化学文献中,许多信息是以描述化学结构的图表的形式给出的。为了以电子方式访问此信息,必须识别图表并将其转换为可处理的格式。尽管在文献中已经提出了许多方法来识别分子图,但是它们传统上采用具有有限灵活性和可扩展性的程序方法。本文提出了一种新颖的方法,该方法在严格基于规则的系统中为分子图的主要识别步骤建模。我们开发了一个框架,该框架使我们能够定义一组规则,以识别不同的债券类型和安排以及解决可能的歧义。这使我们能够将图识别问题视为将一组几何伪像重写为化学图的图形表示的过程,而无需遵循严格的过程。我们通过扩展其方法以捕获新的债券类型和组成,证明了该方法的灵活性。在实验评估中,我们可以证明,我们方法的实现要优于当前可用的领先开源系统。最后,我们讨论如何将我们的框架应用于其他自动图识别任务。 ud

著录项

  • 作者

    Sadawi Noureddin;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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