Unleashing textual descriptions of business processes

Textual descriptions of processes are ubiquitous in organizations, so that documentation of the important processes can be accessible to anyone involved. Unfortunately, the value of this rich data source is hampered by the challenge of analyzing unstructured information. In this paper we propose a f...

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Vydané v:Software and systems modeling Ročník 20; číslo 6; s. 2131 - 2153
Hlavní autori: Sànchez-Ferreres, Josep, Burattin, Andrea, Carmona, Josep, Montali, Marco, Padró, Lluís, Quishpi, Luís
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2021
Springer Nature B.V
Predmet:
Accessibility
Compilers
Computer Science
Descriptions
Flight training
Freedom of speech
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Programming Languages
Programming Techniques
Regular Paper
Software Engineering
Software Engineering/Programming and Operating Systems
Unstructured data
Process mining
Temporal logics
Model checking
Natural language processing
Business process management
Simulation
ISSN:1619-1366, 1619-1374
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Popis
Shrnutí:Textual descriptions of processes are ubiquitous in organizations, so that documentation of the important processes can be accessible to anyone involved. Unfortunately, the value of this rich data source is hampered by the challenge of analyzing unstructured information. In this paper we propose a framework to overcome the current limitations on dealing with textual descriptions of processes. This framework considers extraction and analysis and connects to process mining via simulation. The framework is grounded in the notion of annotated textual descriptions of processes, which represents a middle-ground between formalization and accessibility, and which accounts for different modeling styles, ranging from purely imperative to purely declarative. The contributions of this paper are implemented in several tools, and case studies are highlighted.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-021-00886-x