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020 _a9783030928759
_9978-3-030-92875-9
024 7 _a10.1007/978-3-030-92875-9
_2doi
050 4 _aHD30.2
072 7 _aKJQ
_2bicssc
072 7 _aCOM005030
_2bisacsh
072 7 _aKJQ
_2thema
082 0 4 _a658.4038
_223
245 1 0 _aProcess Querying Methods
_h[electronic resource] /
_cedited by Artem Polyvyanyy.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXII, 531 p. 136 illus., 85 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction 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 QueryLanguage -- 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.
520 _aThis 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.
650 0 _aInformation technology
_xManagement.
650 0 _aQuantitative research.
650 0 _aApplication software.
650 1 4 _aBusiness Process Management.
650 2 4 _aData Analysis and Big Data.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aPolyvyanyy, Artem.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030928742
776 0 8 _iPrinted edition:
_z9783030928766
776 0 8 _iPrinted edition:
_z9783030928773
856 4 0 _uhttps://doi.org/10.1007/978-3-030-92875-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c179215
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