基于自然语言描述的辅助声明性过程创建

Hugo A. López, Morten Marquard, Lukas Muttenthaler, R. Strømsted
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引用次数: 13

摘要

在本文中,我们报告了用户支持从自然语言描述生成声明性过程的最新进展。Process Highlighter是一种混合建模工具,它简化了直接从文本文档(手动)创建动态响应条件(DCR)图形的过程,支持非技术用户采用声明性流程模型。虽然一些流程描述只有几段长,但其他流程描述(例如来自市政府和法律机构的流程描述)可能包含几页。破坏混合建模技术的采用及其在文本和流程模型之间承诺的一对一对应关系的一些方面是文本的长度、术语的不一致使用,以及识别与声明性流程模型中的元素相对应的文本元素的困难。为了降低这些风险,我们在Process Highlighter中实现了主要的附加功能,以供工业使用。主要的变化是包含了自然语言处理(NLP)技术,以支持用户识别角色、活动和约束。这与框架中已经存在的建模、仿真和验证工具相结合,支持用户在更短的时间内提供与他们的规范更好地一致的过程模型。这些特征来自对丹麦大学的案例工作者和过程工程专业学生使用过程亮点的经验观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assisted Declarative Process Creation from Natural Language Descriptions
In this paper, we report recent advances on user support for declarative process generation from natural language descriptions. The Process Highlighter is a hybrid-modelling tool that facilitates the (manual) creation of Dynamic Response Condition (DCR) graphs directly from text documents, supporting non-technical users in the adoption of declarative process models. While some process descriptions are a few paragraphs long, others, such as the ones coming from municipal governments and legal bodies might contain several pages. Some aspects that undermine the adoption of hybrid modelling techniques and their promised one-to-one correspondence between texts and process models are the length of the texts, the inconsistent use of terms, and the difficulty in identifying textual elements that correspond to elements in a declarative process model. To mitigate these risks, we have implemented major additions in the Process Highlighter for industrial usage. The principal change is the inclusion of Natural Language Processing (NLP) techniques to support users in the identification of roles, activities and constraints. This, combined with the modelling, simulation and verification tools already existing in the framework, support the users in providing process models that are better aligned with their specifications, in a shorter time. These features are motivated from empirical observations of the use of the Process Highlighter in groups of caseworkers and students of process engineering in Danish universities.
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