Uniqueness Constraints on Property Graphs
Graph database are increasingly popular for data management and analytics. As with every data…
Session Track: Main Track
Referential Integrity under Uncertain Data
Together with domain and entity and integrity, referential integrity embodies the integrity principles of…
Semi-Contingent Task Durations: Characterization and Controllability
Traditionally, process designers distinguish between two categories of task durations: contingent and non-contingent. The…
Challenges and Perils of Testing Database Manipulation Code
Automated testing enables development teams to maintain the quality of information systems while they…
ADaMaP: Automatic Alignment of Data Sources using Mapping Patterns
We propose a method for automatically extracting semantics from data sources. The availability of…
Design Patterns for Board-based Collaborative Work Management Tools
Board-based software tools for managing collaborative work (e.g. Trello or Microsoft Planner) are highly…
Reusable Abstractions and Patterns for Recognising compositional conversational flows
Task-oriented conversational bots allow users to access services and perform tasks through natural language…
A NLP-based architecture for the autocompletion of partial domain models
Domain models capture the key concepts and relationships of a business domain. Typically, domain…
Data-driven Annotation of Textual Process Descriptions based on Formal Meaning Representations
Business process models are an established means for bridging the gap between domain experts…
Extracting Semantic Process Information from the Natural Language in Event Logs
Process mining focuses on the analysis of recorded event data in order to gain…
Extracting Process Features From Event Logs To Learn Coarse-Grained Simulation Models
Most process mining techniques are backward-looking, i.e., event data are used to diagnose performance…
Learning of Process Representations Using Recurrent Neural Networks
In process mining, many tasks use a simplified representation of a single case to…
P-SGD: A Stochastic Gradient Descent Solution for Privacy-preserving During Protection Transitions
Advances in privacy-enhancing technologies, such as context-aware and personalized privacy models, have paved the…
A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain
Computer-aided engineering (CAE) applications support the digital transformation of the manufacturing industry. They facilitate…
All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
The aim of a process discovery algorithm is to construct from event data a…
Privacy-aware Process Performance Indicators: Framework and Release Mechanisms
Process performance indicators (PPIs) are metrics to quantify the degree with which organizational goals…