Intelligent Information Systems

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:

• Designing and using logic-based, rule-based and case-based expert system shells and providing them with domain- and task-specific knowledge bases
• Modelling of uncertainty in information systems (including fuzziness, possibilistic models and information theory)
• Analyzing the properties of observational calculi applicable on association hypotheses discovered in data using analytical tools
• Study of relationships and differences between human and computational intelligence
• Software design for intelligent buildings.

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

News

• August 2020: A paper on Sentiment analysis using rule-based and case-based reasoning, by Petr Berka, appeared in an issue of Springer’s Journal of Intelligent Information Systems (IF>1.8).
• March 2019: A team of the Department (comprising people from both the IIS group and another two groups – DMKD and SWOE) joined the national AICZECHIA initiative, with Petr Berka being the main contact person.
• 19 March 2019: A paper on Machine Learning Support for EU Funding Project Categorization, by Ondřej Zamazal, appeared in a printed issue of The Computer journal by Oxford (IF >1)
• February 2019: Ondřej Vadinský joined the Department as part-time Lecturer.
• September 2018: Ondřej Vadinský successfully defended his PhD thesis on Analysis of preconditions for intelligent behavior of computer systems. Congratulations once more!
• 22-25 August, 2018: Ondřej Vadinský’s paper at the Artificial General Intelligence conference obtained the Best Student Paper prize. Congratulations!
• March 2018: Ondřej Vadinský has his article on General Evaluation of Intelligent Systems published in the Journal of Artificial General Intelligence.

• April 2017: Jan Burian co-authored an article on EEG Synchronizations Length During Meditation in Springer’s Journal of Medical and Biological Engineering (IF ~ 1).
• June 2017: Jiří Ivánek has an article accepted in the Kybernetika journal (IF ~ 0.6).
• September 2016: Daniel Vodňanský presented a poster (on graph metrics over ontologies) at the KESW 2016 conference.
• September 2016: Ondřej Zamazal presented a demo paper on a topic related to Ontology Visualization Tools Recommender (OVTR) at the SEMANTiCS 2016 conference.
• July 2015: Ondřej Vadinský presented his paper “Towards an Artificially Intelligent System: Possibilities of General Evaluation of Hybrid Paradigm” at the Tenth International Workshop on Neural-Symbolic Learning and Reasoning (NeSy’15) held within IJCAI’15, Buenos Aires.
• May 2015: Daniel Vodňanský defended his PhD project progress on “Data structures and information metrics” (after first year).
• November 2014: A full paper on ‘Roadmapping and Navigating in the Ontology Visualization Landscape’, by Marek Dudáš, Ondřej Zamazal and Vojtěch Svátek, has been presented at the EKAW 2014 conference in Linköping. The paper is partly based on the Ontology Visualization Tools Recommender (OVTR) as application of the NEST expert system shell.
• September 2014: A new PhD student, Daniel Vodňanský, enrolled in September 2014; after some internal optimization, he landed in the PhD team of J. Ivánek and joined the group. He will be working on application of information-theoretic measures on web data representations, and will also cooperate with the SWOE group (information content of ontologies etc.).