Research group: Intelligent Information Systems (IIS)

IIS color among the KIZI groups is red, referring to the outstanding position that intelligent systems have compared to conventional information systems.

News (Fall 2014 – Fall 2016):

Research focus

The Intelligent Information Systems (IIS) group at KIZI (one of its four research groups, overarched by the virtual Knowledge Engineering Group) undertakes research in designing and using intelligent systems and investigating their theoretical grounding. The focal areas of the group currently are:

Education and research on Artificial Intelligence has been focal for the Department since several decades (almost since the foundation of its predecessor, Dept. of Scientific and Technical Information in early 1980s). The most important artifact of this early period was the SAK expert system shell, developed under the supervision of J. Ivánek and extensively used both in education and inside deployed intelligent systems. Its particularly strong feature was the possibility to switch between different formal models of uncertainty processing.

A marking moment for the AI research at the Department was the foundation of Laboratory for Intelligent Systems as its ‘research spinoff’ in 1996, under the direction of R. Jiroušek. A large part of AI-focused staff moved their research activities to the lab while keeping their bond to the Department, and new researchers, mainly from the Academy of Science, were hired (including J. Vejnarová). A new focal area then became theoretical research on probabilistic and possibilistic models of uncertainty processing. At the same time, the laboratory continued the practice-oriented stream, with the development of tools such as the WISECON system for intelligent support for selecting a computer product in an on-line catalogue (based on Bayesian networks).

After 2000 the research became more diversified. Theoretical research on uncertain reasoning continued. At the same time, a modern implementation of classical expert system shell combining the rule-based and case-based approach appeared under the name of NEST. Further topics (such as agent-based simulation of economic phenomena, principles of hybrid intelligence or intelligent buildings) have been brought in by PhD students.

The research has/had been supported by several research projects, most notably by the long-term research project (2007-2013) funded by the Ministry of Education under no. MSM 6138439910.

Team

Group leaders: Petr Berka, Jiří Ivánek

Other group members (incl. PhD and MSc students): Jiřina Vejnarová, Ondřej (Šváb) Zamazal, Ondřej Vadinský, Daniel Vodňanský, Jiří Zumr, Jan Burian

Collaborations

Within the University, the IIS group mainly cooperates with

Within the Czech Republic, there is lasting cooperation with the Institute of Information Theory and Automation (prime affiliation of J. Vejnarová) in the field of uncertainty processing, and recently with the Faculty of Electrical Engineering, CTU, in the field of intelligent buildings.

At the international level the most active contacts are in the semantic web / ontological segment, and partly in the uncertainty processing segment.

Selected recent publications

Education

Activities of the group are reflected in several courses taught at the University, most notably the MSc level courses:

A specialized Bc level course is:

Finally, there is also a relevant PhD-level course:


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