Process Querying Methods

This book provides a framework for developing and a comprehensive collection of state-of-the-art process querying methods. It combines concepts from Big Data, Process Modeling, and Analysis, Business Process Intelligence, and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes. The book is intended for researchers, business professionals, lecturers, graduate students, and tool vendors.

Format: Paperback / softback
Length: 531 pages
Publication date: 27 April 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a comprehensive framework for developing advanced process querying methods, along with a vast collection of state-of-the-art techniques. By seamlessly integrating concepts from Big Data, Process Modeling and Analysis, Business Process Intelligence, and Process Analytics, it delves into innovative approaches for retrieving and manipulating models of real-world and envisioned processes. These models are then organized and extracted to extract process-related information, enabling systematic utilization for various purposes.

The book is structured into sixteen contributed chapters, divided into four parts, and accompanied by two auxiliary chapters. The editor's auxiliary chapters provide an insightful introduction to the field of process querying, offering a summary of the presented methods, techniques, and applications. Additionally, an introductory chapter examines a process querying framework, further enhancing the reader's understanding.

The contributed chapters showcase a diverse range of process querying methods, each contributing unique insights. These chapters discuss the instantiation of framework components, facilitating a comparative analysis of the methods. The four parts of the book are tailored to the distinct features of the methods they encompass. The first three parts focus on querying event logs generated by IT systems that support business processes within organizations, querying process designs captured in process models, and methods that address the combination of event logs and process models. These methods typically define a language for specifying process queries.

The fourth part delves into methods that operate on inputs beyond event logs and process models, such as streams of process events or methods that do not develop dedicated query languages, such as methods for assessing process model similarity. This book is primarily designed for researchers engaged in the field of process querying. Each chapter in this book is contributed by active researchers, ensuring the latest advancements and cutting-edge perspectives are presented.

By exploring the intersection of Big Data, Process Modeling, Analytics, and Intelligence, this book empowers researchers to unlock valuable insights from process models, enabling them to optimize business processes, improve decision-making, and drive innovation.

Weight: 842g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030928773
Edition number: 1st ed. 2022