Format:
1 Online-Ressource (541 Seiten)
Edition:
1st ed
ISBN:
9783030928759
Note:
Description based on publisher supplied metadata and other sources
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Intro -- Foreword -- References -- Preface -- References -- Contents -- Contributors -- Acronyms -- Introduction to Process Querying -- 1 Introduction -- 2 Process Querying -- 2.1 Objective -- 2.2 Definition -- 2.3 Methods -- 3 Process Querying Framework -- 3.1 Framework -- 3.2 Design Decisions -- 3.3 Challenges and Compromise -- 3.3.1 Challenges -- 3.3.2 Compromise -- 4 Conclusion -- References -- Part I Event Log Querying -- BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data -- 1 Introduction -- 2 Background and Contributions Overview -- 3 Process Abstractions -- 4 Summarizing Big Process Data -- 5 Querying Big Process Data -- 5.1 Entity-Level Queries -- 5.2 Summarization Queries -- 5.3 Regular Expression Queries -- 5.3.1 Path Condition Queries -- 5.3.2 Path Node Queries -- 5.4 Metadata Queries -- 5.5 User-Defined Queries -- 6 Scalable Analysis Using MapReduce -- 7 Implementation -- 8 Process Querying Framework -- 9 Conclusion -- References -- Data-Aware Process Oriented Query Language -- 1 Introduction -- 2 Preliminaries -- 3 DAPOQ-Lang -- 3.1 Syntax -- 3.1.1 Terminal Meta Model Elements -- 3.1.2 Elements Related to Elements -- 3.1.3 Computation of Temporal Values -- 3.1.4 Temporal Interval Algebra -- 3.1.5 Operators on Attributes of Elements -- 3.1.6 Abstract Syntax -- 3.2 Semantics -- 4 Implementation and Evaluation -- 5 Application and Use Cases -- 5.1 Business Questions in Process Mining -- 5.2 Exporting Logs -- 5.3 Specialized Sublogs -- 5.4 Metrics, Artifacts, and Provenance -- 5.5 DAPOQ-Lang vs. SQL -- 6 DAPOQ-Lang and the Process Querying Framework -- 7 Conclusion -- References -- Process Instance Query Language and the Process Querying Framework -- 1 Introduction -- 2 Background -- 3 Motivating Scenario -- 4 Process Instance Query Language -- 4.1 Syntax -- 4.2 Semantics -- 4.3 Patterns and Predicates
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5 Implementation -- 6 Application -- 6.1 Dashboard Enriched with PIQL -- 6.2 DMN Enriched with PIQL -- 6.3 Dataflow Enriched with PIQL -- 7 Framework -- 8 Conclusions and Future Work -- References -- Part II Process Model Querying -- The Diagramed Model Query Language 2.0: Design, Implementation, and Evaluation -- 1 Introduction -- 2 Preliminaries -- 3 The Generic Model Query Language (GMQL) -- 3.1 Syntax -- 3.2 Semantics, Notation, and Query Example -- 3.3 The Transition from GMQL to DMQL -- 4 The Diagramed Model Query Language (DMQL) -- 4.1 Syntax -- 4.2 Notation -- 4.3 Semantics -- 4.4 Query Example -- 4.5 DMQL 2.0 -- 5 Evaluation -- 5.1 Runtime Complexity -- 5.2 Performance -- 5.3 Utility -- 6 GMQL, DMQL, and the Process Querying Framework -- 7 Conclusion -- References -- VM*: A Family of Visual Model Manipulation Languages -- 1 Introduction -- 2 Examples -- 2.1 High-Level Process Models Expressed as Use Case Diagrams -- 2.2 Low-Level Process Models Expressed as Activity Diagrams -- 2.3 Low-Level Process Models Expressed as BPMN Diagrams -- 3 Query Language -- 3.1 Abstract Syntax -- 3.2 Concrete Syntax -- 3.3 Semantics -- 4 Implementation -- 5 Usability Evaluation -- 6 Applications and Use Cases -- 7 VM* and PQF -- 8 Conclusion -- References -- The BPMN Visual Query Language and Process Querying Framework -- 1 Introduction -- 2 Background -- 3 BPMN VQL -- 3.1 Syntax -- 3.2 Semantics and Notation -- 4 Implementation and Evaluation -- 4.1 Implementation -- 4.2 Performance Evaluation -- 4.3 Empirical Evaluation -- 4.3.1 Experiment Definition, Planning, and Design -- 4.3.2 Experimental Results -- 4.3.3 Discussion -- 5 Framework -- 6 Conclusion and Future Work -- References -- Retrieving, Abstracting, and Changing Business Process Models with PQL -- 1 Introduction -- 2 Use Cases -- 3 Fundamentals of Process Model Abstractions -- 3.1 Process Model
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3.2 Changing Process Models -- 3.3 Process Model Abstractions -- 3.4 Updating Process Models Based on Model Abstractions -- 4 The PQL Language -- 4.1 Overview -- 4.2 Selecting Process Models and Process Elements -- 4.3 Changing Process Models -- 4.4 Abstracting Process Models -- 4.5 Handling Process Views with PQL -- 4.5.1 Creating, Updating, and Deleting Process Views -- 4.5.2 Changing Abstracted Process Models -- 5 Implementation -- 5.1 Software Architecture -- 5.2 Processing Pipeline -- 5.3 PQL Lexer and Parser -- 6 PQL and the Process Querying Framework -- 6.1 Part 1: Model, Simulate, Record, and Correlate -- 6.2 Part 2: Prepare -- 6.3 Part 3: Execute -- 6.4 Part 4: Interpret -- 7 Conclusion -- References -- QuBPAL: Querying Business Process Knowledge -- 1 Introduction -- 2 Business Process Knowledge Base -- 2.1 Business Process Schemas -- 2.2 Behavioral Semantics -- 2.3 Semantic Annotations -- 2.3.1 Rule-Based Ontologies -- 2.3.2 Terminological Annotations -- 2.3.3 Functional Annotations -- 3 Querying the Business Process Knowledge Base -- 3.1 Syntax -- Predicates of the WHERE Statement -- 3.2 Semantics -- 3.3 Query Examples -- 4 Use Cases -- 5 Implementation -- 5.1 Graphical User Interface -- 5.2 Application Logic -- 5.3 Knowledge Layer -- 6 Framework -- 7 Conclusions and Future Work -- References -- CRL and the Design-Time Compliance Management Framework -- 1 Introduction -- 2 CRL Framework -- 2.1 ''Model'' Part -- 2.2 ''Knowledge'' Part -- 2.3 ''Execute'' Part -- 2.4 ''Interpret'' Part -- 3 Case Study -- 4 Linear Temporal Logic -- 5 Compliance Request Language -- 5.1 Syntax, Notation, and Semantics -- 5.2 Atomic Patterns -- 5.3 Resource Patterns -- 5.4 Composite Patterns -- 5.5 Timed Patterns -- 6 Implementation -- 7 Validation and Evaluation -- 8 Discussion and Conclusion -- References -- Process Query Language -- 1 Introduction
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2 Motivating Examples -- 3 Process Query Language -- 3.1 Process Querying -- 3.1.1 Behavioral Predicates -- 3.1.2 Scenarios -- 3.2 Process Manipulation -- 4 Process Querying Framework -- 5 Implementation -- 6 Discussion -- 6.1 Querying and Manipulation -- 6.2 Quality -- 6.3 Suitability -- 6.4 Decidability and Efficiency -- 7 Conclusion -- References -- Part III Event Log and Process Model Querying -- Business Process Query Language -- 1 Introduction -- 2 Business Process Metamodel -- 3 Query Language -- 3.1 Syntax -- 3.2 Semantics -- 3.2.1 Architecture of the Query Evaluation Mechanism -- 3.2.2 Environment Stack -- 3.2.3 Query Result Stack -- 3.2.4 Query Evaluation Procedure -- 3.2.5 Collections and Structs -- 3.2.6 Literals and Names -- 3.2.7 Algebraic Operators -- 3.2.8 Non-algebraic Operators -- 3.2.9 Imperative Constructs -- 3.2.10 Procedures and Functions -- 3.2.11 Predefined Context-Dependent Functions -- 4 Monitoring Functions -- 4.1 Settlement of Travel Expenses Example -- 5 Architecture and Standardization -- 5.1 BPQL Embedded in BPMN -- 5.2 Architecture -- 6 Case Study -- 7 Conclusion -- References -- Celonis PQL: A Query Language for Process Mining -- 1 Introduction -- 2 Background -- 2.1 Process Mining -- 2.2 Architecture Overview -- 2.3 History of Celonis PQL -- 2.4 Design Goals -- 3 Applications -- 4 The Celonis Process Query Language -- 4.1 Language Overview -- 4.2 Source and Target Operators -- 4.3 Variant Computation -- 4.4 Conformance Checking -- 5 Use Cases -- 5.1 Working Capital Optimization by On-Time Payment of Invoices -- 5.2 Identifying Ping-Pong-Cases for Ticket Resolution Time Reduction -- 5.3 Fraud Prevention by Identifying Segregation of Duties Violations -- 6 Implementation -- 7 Celonis PQL and the Process Querying Framework -- 8 Conclusion and Future Work -- References -- Part IV Other Process Querying Methods
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Process Querying Using Process Model Similarity -- 1 Introduction -- 2 Measures of Business Process Similarity -- 2.1 Preliminaries -- 2.2 Activity-Based Similarity Measures -- 2.3 Structure-Based Similarity Measures -- 2.4 Behavior-Based Similarity Measures -- 3 Indexing Structures for Business Process Similarity -- 3.1 Tree-Based Index and Proper Metrics -- 3.2 F-Net -- 4 Use Case: Finding Optimal Outsourcing Partners -- 4.1 Scenarios and Requirements for Business Process Outsourcing -- 4.2 Matching and Similarity Measures -- 4.3 Post-Matching -- 4.4 Similarity Measures in Business Process Outsourcing -- 5 Process Similarity Querying and the Process Querying Framework -- 6 Conclusion -- References -- Logic-Based Approaches for Process Querying -- 1 Introduction -- 2 Background -- 2.1 Business Process Model and Notation -- 2.2 The Soundness Property -- 3 Process Querying Using Prolog -- 3.1 Expressing the Model as Logic Facts -- 3.2 Checking Syntactical Correctness -- 3.3 Checking for Proper Layout -- 3.4 Locating Patterns Indicating a Soundness Violation -- 3.5 Locating Incorrect and Ambiguous Labels -- 3.6 Suggesting Process Model Refactoring -- 3.7 Suggesting Process Improvements -- 4 Process Querying Using Semantic Technologies -- 4.1 Querying Process Models Stored as Ontologies -- 4.2 Querying Process Models Stored in Graph-Oriented DB -- 5 Process Querying Framework -- 6 Conclusion -- References -- Process Model Similarity Techniques for Process Querying -- 1 Introduction -- 2 Foundations -- 2.1 Business Process Model -- 2.2 Business Process Instances -- 2.3 Business Process Model Matching -- 2.4 Business Process Model Similarity -- 2.5 Evaluation Measures -- 3 Process Model Querying and Similarity-Based Search -- 4 Selection of Similarity Techniques -- 4.1 Latent Semantic Analysis-Based Similarity Search
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4.2 Similarity Score Based on Common Activity Names
Additional Edition:
Erscheint auch als Druck-Ausgabe Polyvyanyy, Artem Process Querying Methods Cham : Springer International Publishing AG,c2022 ISBN 9783030928742
Language:
English
Subjects:
Computer Science
Keywords:
Prozessanalyse
;
Betriebliches Informationssystem
;
Data Mining
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