Data and Knowledge Bases

Responsible for this topic:
Full Prof. Sandra Lovrenčić, Ph.D., University of Zagreb, Faculty of Organization and Informatics, Varaždin
Full Prof. Patrizia Poščić, Ph.D., University of Rijeka, Department of informatics
Today, in an age of large amounts of data (the era of big data), their organization and use is becoming increasingly important.

The operation of an organization in a fast changing world largely depends on acquisition and management of data, information and knowledge. Data can be stored in various types of databases, tailored for organizational needs, such as in-memory, cloud, distributed, deductive, mobile, temporal, spatial... Knowledge bases are essential part of intelligent and knowledge management systems that support business. Representation, querying and reasoning enable sharing and use of data and knowledge in decision making processes crucial for organization success.

Research papers within this topic include:
Database management systems
Database modeling
Data warehouses
Data lakes
Data integration
Business intelligence
Big Data
Data quality
Database security
Knowledge management
Knowledge modelling
Knowledge engineering
Knowledge representation and reasoning
Multi-agent systems
Query languages