Formal Reasoning on Natural Language Descriptions of Processes

Josep S'ànchez-Ferreres, Andrea Burattin, Josep Carmona, Marco Montali

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The existence of unstructured information that describes processes represents a challenge in organizations, mainly because this data cannot be directly referred into process-aware ecosystems due to ambiguities. Still, this information is important, since it encompasses aspects of a process that are left out when formalizing it on a particular modelling notation. This paper picks up this challenge and faces the problem of ambiguities by acknowledging its existence and mitigating it. Specifically, we propose a framework to partially automate the elicitation of a formal representation of a textual process description, via text annotation techniques on top of natural language processing. The result is the ATDP language, whose syntax and semantics are described in this paper. ATDP allows to explicitly cope with several interpretations of the same textual description of a process model. Moreover, we link the ATDP language to a formal reasoning engine and show several use cases. A prototype tool enabling the complete methodology has been implemented, and several examples using the tool are provided.

Original languageEnglish
Title of host publicationBusiness Process Management
Publication date2019
ISBN (Print)978-3-030-26619-6
Publication statusPublished - 2019
Event17th Int. Conference on Business Process Management
- Vienna University of Economics and Business, Vienna, Austria
Duration: 1 Sep 20196 Sep 2019
Conference number: 17


Conference17th Int. Conference on Business Process Management
LocationVienna University of Economics and Business
SeriesLecture Notes in Computer Science


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