摘要翻译：
Taaable是一个基于案例的推理系统，它使烹饪食谱适应用户约束。在其中，食谱的准备部分被形式化为一个图表。该图是组成烹饪过程的指令序列的语义表示，用于计算程序适应和文本适应。它由烹饪动作和成分等组成，表示为顶点，以及它们之间的语义关系，表示为圆弧，并通过自然语言处理自动建立。自动注释过程的结果通常是一个断开的图，表示一个不完整的注释，或者可能包含错误。因此，需要验证和更正步骤。本文介绍了一个用于表示和编辑决策树的图形工具&KCatos，并说明了它是如何在WikiTaaable中进行改造和集成的。WikiTaaable是一个语义wiki,它存储了Taaable所使用的知识。该接口为wiki用户提供了一种纠正烹饪过程案例表示的方法，同时提高了Wikitaable中存储的烹饪过程知识的质量。
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英文标题：
《Semi-automatic annotation process for procedural texts: An application
  on cooking recipes》
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作者：
Valmi Dufour-Lussier (INRIA Lorraine - LORIA), Florence Le Ber (INRIA
  Lorraine - LORIA, LHyGeS), Jean Lieber (INRIA Lorraine - LORIA), Thomas
  Meilender (INRIA Lorraine - LORIA), Emmanuel Nauer (INRIA Lorraine - LORIA)
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最新提交年份：
2012
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Taaable is a case-based reasoning system that adapts cooking recipes to user constraints. Within it, the preparation part of recipes is formalised as a graph. This graph is a semantic representation of the sequence of instructions composing the cooking process and is used to compute the procedure adaptation, conjointly with the textual adaptation. It is composed of cooking actions and ingredients, among others, represented as vertices, and semantic relations between those, shown as arcs, and is built automatically thanks to natural language processing. The results of the automatic annotation process is often a disconnected graph, representing an incomplete annotation, or may contain errors. Therefore, a validating and correcting step is required. In this paper, we present an existing graphic tool named \kcatos, conceived for representing and editing decision trees, and show how it has been adapted and integrated in WikiTaaable, the semantic wiki in which the knowledge used by Taaable is stored. This interface provides the wiki users with a way to correct the case representation of the cooking process, improving at the same time the quality of the knowledge about cooking procedures stored in WikiTaaable.
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PDF链接：
https://arxiv.org/pdf/1209.5663