Process querying methods / Artem Polyvyanyy.
Polyvyanyy, Artem, editor.
2022
T57.67
Available Online

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Title Process querying methods / Artem Polyvyanyy.
ISBN 9783030928759 (electronic bk.)
3030928756 (electronic bk.)
9783030928742
3030928748
DOI https://doi.org/10.1007/978-3-030-92875-9
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (some color)
Item Number 10.1007/978-3-030-92875-9 doi
Call Number T57.67
Dewey Decimal Classification 658.4/034
Summary This book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use. The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and a summary of the presented methods, techniques, and applications for process querying. The introductory chapter also examines a process querying framework. The contributed chapters present various process querying methods, including discussions on how they instantiate the framework components, thus supporting the comparison of the methods. The four parts are due to the distinctive features of the methods they include. The first three are devoted to querying event logs generated by IT-systems that support business processes at organizations, querying process designs captured in process models, and methods that address querying both event logs and process models. The methods in these three parts usually define a language for specifying process queries. The fourth part discusses methods that operate over inputs other than event logs and process models, e.g., streams of process events, or do not develop dedicated languages for specifying queries, e.g., methods for assessing process model similarity. This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying. They describe state-of-the-art methods for process querying, discuss use cases of process querying, and suggest directions for future work for advancing the field. Yet, also other groups like business or data scientists and other professionals, lecturers, graduate students, and tool vendors will find relevant information for their distinctive needs. Chapter "Celonis PQL: A Query Language for Process Mining" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 9, 2022).
Added Author Polyvyanyy, Artem, editor.
Available in Other Form Print version: 9783030928742
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Introduction to Process Querying
Part I: Event Log Querying
BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data
Data-Aware Process Oriented Query Language
Process Instance Query Language and the Process Querying Framework
Part II: Process Model Querying
The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation
VM*: A Family of Visual Model Manipulation Languages
The BPMN Visual Query Language and Process Querying Framework
Retrieving, Abstracting, and Changing Business Process Models with PQL
QuBPAL: Querying Business Process Knowledge
CRL and the Design-Time Compliance Management Framework
Process Query Language
Part III: Event Log and Process Model Querying
Business Process Query Language
Celonis PQL: A Query Language for Process Mining
Part IV: Other Process Querying Methods
Process Querying Using Process Model Similarity
Logic-Based Approaches for Process Querying
Process Model Similarity Techniques for Process Querying
Complex Event Processing Methods for Process Querying
Process Querying: Methods, Techniques, and Applications.

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