This book constitutes the proceedings of the 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021, which was held online during June 28-July 2, 2021. The conference was planned to take place in Melbourne, Australia, and changed to an online format due to the COVID-19 pandemic.
The papers included in these proceedings focus on intelligent information systems and deal with novel approaches to IS engineering; models, methods and techniques in IS engineering; architectures and platforms for IS engineering; and domain specific and multi-aspect in IS engineering.
Privacy and Security.- Towards an Ecosystem of Domain Specific Languages for Threat Modeling.- Privacy-aware Process Performance Indicators: Framework and Release Mechanisms.- P-SGD: A Stochastic Gradient Descent Solution for Privacy-preserving During Protection Transitions.-
Natural Language Processing and Text.- Extracting Semantic Process Information from the Natural Language in Event Logs.- Data-driven Annotation of Textual Process Descriptions based on Formal Meaning Representations.- A NLP-based architecture for the autocompletion of partial domain models.-
Process Discovery.- Learning of Process Representations Using Recurrent Neural Networks.- Extracting Process Features From Event Logs To Learn Coarse-Grained.- Simulation Models.- All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees.-
Patterns.- Reusable Abstractions and Patterns for Recognising compositional conversational flows.- Design Patterns for Board-based Collaborative Work Management Tools.- ADaMaP: Automatic Alignment of Data Sources using Mapping Patterns.-
Data and Task Management.- A Metadata Model tol“/