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

Modeling, 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

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 modeling 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