Rimantas Butleris

Professor at KTU Faculty of Informatics

Rimantas Butleris is a professor at KTU Faculty of Informatics and a head of the Information Systems Design Technology Centre. The researcher’s research areas – knowledge engineering, semantics and syntax analysis of the Lithuanian language text.

  • Knowledge engineering
  • Analysis of the semantics and syntax of the Lithuanian language text

Smart Cloud Application Framework (SCAF)

During the project led by R. Butler, researchers developed a cloud application development technology that will reduce the cost of developing new applications. The most important highlight of the project is the use of artificial intelligence technologies, with the help of which applications can be trained to perform various actions that speed up operational processes with minimal human intervention.

Development of public services of the Lithuanian language text syntax-semantic analysis information system (SEMANTIKA 2)

The project goal achieved through modernization and development of the Lithuanian language syntactic and semantic analysis information system (LKSSAIS), modernization of existing and development of new public services for the tasks of written language recognition and electronic texts’ mining from various sources, as well as development of electronic tools (IT solutions) that would be made available for the reuse to electronic services/products developers.

Intensification of Electronic Content Processing and Information Interaction Research Using Semantic Technologies

R. Butler led the “Intensification of Electronic Content Processing and Information Interaction Research Using Semantic Technologies” project.

No. Title Authors Year
1. Two-Step Meta-Learning for Time-Series Forecasting Ensemble.  Evaldas Vaičiukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris 2021
2. Early Quality Evaluation of System of Systems Architecture Within Trade Study Process. Jovita Bankauskaitė, Aurelijus Morkevičius, Rimantas Butleris 2020
3. Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams.  Paulius Danenas, Tomas Skersys, Rimantas Butleris 2020
4. Meta-Learning for Time Series Forecasting Ensemble.  Evaldas Vaičiukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris 2020
5. Modelling Subject Domain Causality for Learning Content Renewal. Informatica Saulius Gudas, Jurij Tekutov, Rimantas Butleris, Vitalijus Denisovas 2019