Topics of Interest

The topics of interest of SBBD include, but are not limited to, the following:

• Cloud data management and blockchains
• Data and information quality
• Data annotation and provenance
• Data cleaning, information filtering, and publishing
• Data frameworks, ecosystems, and database architectures
• Data mining and analytics
• Data models and semantics
• Data privacy and security
• Data science applications/pipelines
• Data visualization, user interfaces, and database usability
• Database engines
• Database monitoring, performance, benchmarking, and tuning
• Data-centric applications
• Digital libraries and applications
• Document management and classification
• Embedded and mobile databases
• Experiments and analyses
• Graphs, networks, and semi-structured data management
• Information integration and interoperability
• Information retrieval
• In-memory data management
• Knowledge bases, knowledge graphs, and modeling
• Machine Learning, AI, data management, and data systems
• Multidimensional and temporal databases
• NoSQL databases
• Peer-to-peer, parallel, distributed, or heterogeneous databases
• Polystore databases
• Probabilistic, fuzzy, and uncertain data management
• Profile-based or context-aware data management
• Query languages and processing
• Recommender systems
• Responsible data management and algorithmic fairness
• Schema management and design
• Self-managed and autonomic databases
• Semantic web, linked data, and ontologies
• Sensor data processing, stream databases, and IOT on data
• Social networks and crowdsourcing
• Spatiotemporal databases
• Specialized and domain-specific data management
• Storage, indexing, and physical database design
• Transaction management, concurrency control, and recovery
• Text mining and natural language processing
• Web data management
• Workflow applications and databases