ADBIS DC 2019 - ADBIS 2019 Doctoral Consortium

Data-intensive sciences and databases,
Theoretical foundations of databases,
Management of large-scale data systems,
Data models and query languages,
Database monitoring and (self-)tuning,
Data curation, annotation, and provenance,
Data warehousing, OLAP, and ETL tools,
Indexing, query processing and optimization,
Data mining and knowledge discovery,
Big data storage, replication, and consistency,
Modelling, mining and querying user-generated content,
Data quality and data cleansing,
Web, XML and semi-structured databases,
Sensor databases and mobile data management,
Text databases and information retrieval,
Probabilistic databases, uncertainty and approximate querying,
Temporal and spatial databases,
Graph databases,
Databases on emerging hardware architectures,
Distributed data platforms, including Cloud data systems, key-value stores, and Big Data systems,
Distributed ledger technologies,
Information extraction and integration,
Streaming data analysis,
Scalable data analysis and analytics,
Data and information visualization; and user interfaces,
Information quality and usability,
Information system architectures and networking,
Business process modelling and optimization,
Data and information flow engineering and management,
Context-aware and adaptive information systems,
Data and information intensive services,
Requirements engineering for databases and information systems,
Artificial intelligence in databases and information systems,
Data, information, and information systems security,
Innovative platforms for data and information handling,
Innovative approaches for database and information systems engineering,
Novel database and information systems applications,
Challenges and novel approaches in teaching databases and information systems.