SBBD welcomes submissions related to the data management area and related issues. Submissions on inter-disciplinary work, as long as there are clear contributions to the management of data are also invited. The topics of interest 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 semistructured 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
- Web data management Workflow applications and databases