Cooperative Information Systems (eBook, PDF)

29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30-November 3, 2023, Proceedings
Redaktion: Sellami, Mohamed; Panetto, Hervé; Gaaloul, Walid; Dongen, Boudewijn van; Vidal, Maria-Esther

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 29th International Conference on Cooperative Information Systems, CoopIS 2023, held in Groningen, The Netherlands, during October 30-November 3, 2023.

The 21 regular papers and 10 work-in-progress papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Knowledge Engineering; Deployment and Migration in CISs; Security and Privacy in CISs; Process Modeling; Process Analytics; Human Aspects and Social Interaction in CISs; and Work in Progress.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 508
• Erscheinungstermin: 24. Oktober 2023
• Englisch
• ISBN-13: 9783031468469
• Artikelnr.: 69546053

Inhaltsangabe

Knowledge Engineering.- Enhancing Fairness and Accuracy in Machine Learning through Similarity Networks.- Considering Vocabulary Mappings in Query Plans for Federations of RDF Data Sources.- AIS - a Metric for assessing the Impact of an Influencer's Twitter Activity on the Price of a Cryptocurrency.- Deployment and Migration in CISs.- Managing the Variability of Component Implementations and Their Deployment Configurations Across Heterogeneous Deployment Technologies.- Adaptive Multi-Agent System for Dynamic Clustering Applied to Itineraries Regularities and Traffic Prediction.- Double Deep Q-Network-based Time and Energy-efficient Mobility-aware Workflow Migration Approach.- Security and Privacy in CISs.- Decentralized and Autonomous Key Management for Open Multi-Agent Systems of Embedded Agents.- An Empirical Study on Socio-technical Modeling for Interdisciplinary Privacy Requirements.- Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations.- Process Modeling.- Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text.- LABPMN: Location-Aware Business Process Modeling and Notation.- On the Semantic Transparency of Declarative Process Models: The Case of Constraints.- Process Analytics.- Discovering Guard Stage Milestone models through hierarchical clustering.- Discovery of Workflow Patterns - A Comparison of Process Discovery Algorithm.- From Process Mining Insights to Process Improvement: All Talk and No Action?.- Rectify Sensor Data in IoT: A Case Study on Enabling Process Mining for Logistic Process in an Air Cargo Terminal.- Using Process Mining for Face Validity Assessment in Agent-based Simulation Models: An Exploratory Case Study.- Human Aspects and Social Interaction in CISs.- Towards Scaling External Feedback for Early-Stage Researchers: A survey study.- Social Network Mining from Natural Language Text and Event Logs for Compliance Deviation Detection.- Learning Hierarchical Robot Skills Represented by Behavior Trees from Natural Language.- Relating Context and Self Awareness in the Internet of Things.- Work in Progress (WIP) Papers.- BAnDIT: Business Process Anomaly Detection in Transactions.- Resource-Driven Process Manipulation: Modeling Concepts and ValidAllocations.- Graph Collaborative Filtering and Data Augmentation Strategies in Dual-Target CDR.- Clustering Raw Sensor Data in Process Logs to Detect Data Streams.- Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling.- A Requirements Study on Model Repositories for Digital Twins in Construction Engineering.- Joint Dynamic Resource Allocation and Trajectory Optimization for UAV-Assisted Mobile Edge Computing in Internet of Vehicles.- Towards an Improved Unsupervised Graph-based MRI Brain Segmentation Method.- User-friendly exploration of highly heterogeneous data lakes.- Optimizing hospital patient flow by predicting aftercare requests from fuzzy time series.