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==Topics== Topic 1: Data, Information, and Knowledge Engineering: * Conceptual Modeling * Ontology Engineering * Data Structures in Shared Information Systems * Ontology and Schema Alignment and Interoperability * Evolution and Maintenance of Conceptual Models * Big Data * Data Quality Management * Meta-Modelling * Human-Computer Interaction Topic 2: Machine Learning and Knowledge Reconstruction and Discovery: * Machine Learning * Deep Learning * Data Mining * Process Mining * Data Analytics Topic 3: Semantic Web and Linked Open Data: * Web Architecture * Tools * Vocabularies for the Semantic Web * Applications and Use Cases * Formalisms and Syntaxes * Querying Graph Data and Query Languages * Inference and Reasoning * RDF Data Shapes Topic 4: Security and Privacy: * Access Control * Blockchain-based Approaches * Cryptocurrencies * Information Entropy Topic 5: Internet of Things: *Connectivity, Interfaces, and Protocols *Data Structures for IoT *Storage and Data Management *Computing and Processing in IoT Environments *Sensors and Actuators *Semantic Sensor Web *Applications and Use Cases Topic 6: Architecture and Management: * Information Architecture * Enterprise Architecture Management * Software Engineering Topic 7: Human Aspects and Social Interaction: * Economics of Cooperative Information Systems * Visualization * Human-Computer Interaction * Incentives and User Contributions * Reputation Management Topic 8: Services in Information Systems: * Web Services * APIs * Services Science * Business Models * Service Engineering * Service Management
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