Integrating Textual and Model-Based Process Descriptions for Comprehensive Process Search
Integrating Textual and Model-Based Process Descriptions for Comprehensive Process Search
复制标题
集成文本和基于模型的流程描述以进行全面的流程搜索
DOI：
10.1007/978-3-319-39429-9_4
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
H. Reijers
中科院分区：
文献类型：
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作者：
H. Leopold;Han van der Aa;Fabian Pittke;Manuel Raffel;J. Mendling;H. Reijers
使用流程模型记录业务流程是许多组织的常见做法。然而，并非所有流程信息都能最好地在流程模型中捕获。因此，许多组织通过指定附加细节的文本描述来补充这些模型。这种文本描述的补充使用的问题在于，用于自动搜索流程存储库的现有技术仅限于流程模型。它们无法考虑文本描述中的信息，因此提供不完整的搜索结果。在本文中，我们解决了这个问题，并提出了一种能够搜索文本以及基于模型的流程描述的技术。它自动从两种描述类型中提取过程信息，并将其存储在统一的数据格式中。对奥地利一家大型银行的评估表明，对文本描述的额外考虑使我们能够从存储库中识别更多相关流程。
Documenting business processes using process models is common practice in many organizations. However, not all process information is best captured in process models. Hence, many organizations complement these models with textual descriptions that specify additional details. The problem with this supplementary use of textual descriptions is that existing techniques for automatically searching process repositories are limited to process models. They are not capable of taking the information from textual descriptions into account and, therefore, provide incomplete search results. In this paper, we address this problem and propose a technique that is capable of searching textual as well as model-based process descriptions. It automatically extracts process information from both descriptions types and stores it in a unified data format. An evaluation with a large Austrian bank demonstrates that the additional consideration of textual descriptions allows us to identify more relevant processes from a repository.