The Knowledge Tehnologies is

department of Jožef Stefan Institute.

We develop artificial intelligence methods and advanced
information technologies aimed at acquiring, storing and
managing knowledge to be used in the context of the
information- and knowledge-based society.

 

 

IJS_logo_-02

Established areas of our work include machine learning (intelligent
data analysis, data mining, and knowledge discovery in databases)
and decision support, analysis of text and network data, language
technologies, computational linguistics and digital humanities,
as well as computational creativity and computational scientific discovery.

In addition to performing research in knowledge technologies
and methods, we also develop applications of such technologies
in ecology and agriculture; bioinformatics, drug design, medicine,
biomedicine, and ambient intelligence; economics, finance and
marketing; and finally space operations and Earth observation.

The Knowledge Tehnologies is department of Jožef Stefan Institute.

We develop artificial intelligence methods and advanced information technologies aimed at acquiring, storing and managing knowledge to be used in the context of the information- and knowledge-based society.

 

 

IJS_logo_-02

Established areas of our work include machine learning (intelligent data analysis, data mining, and knowledge discovery in databases) and decision support, analysis of text and network data, language technologies, computational linguistics and digital humanities, as well as computational creativity and computational scientific discovery.

In addition to performing research in knowledge technologies and methods, we also develop applications of such technologies in ecology and agriculture; bioinformatics, drug design, medicine, biomedicine, and ambient intelligence; economics, finance and marketing; and finally space operations and Earth observation.

 Research areas

Icons-01

MACHINE LEARNING

We are focusing on multi-target prediction, developing various methods addressing different machine learning tasks. We are also addressing the topic of representation learning, where we are developing data mining methods for the analysis of heterogeneous data, and using them in several application domains.

Icons-02

DECISION SUPPORT AND ARTIFICIAL INTELLIGENCE

Our long-term goal in the area of decision support is to develop methods and techniques of decision modeling, support them with software and integrate them with data mining systems. In the area of explainable artificial intelligence, we are developing and evaluating methods for variable importance estimation and feature ranking in several contexts.

Icons-03

ARTIFICIAL INTELLIGENCE FOR SCIENCE

We are addressing the fields of semantic technologies to support the process of data analysis, computational scientific discovery to propose the use of probabilistic grammars to represent domain knowledge in equation discovery, and computational creativity to develop new methods for the creative generation of natural language text.

Icons-04

LANGUAGE TECHNOLOGIES AND DIGITAL HUMANITIES

We are working on machine learning methods for natural language processing and understanding. Our research is also on the field of text and network analytics is to combine methods of text mining, natural language processing, network analysis, and topic detection to reveal and highlight underlying characteristics in different domains. We are also leading CLARIN.SI, open access language resources and being active in the field of digital humanities.

Icons-05

KNOWLEDGE TECHNOLOGIES FOR SOCIETY

This part of our work is concerning the use of knowledge technologies for solving practically relevant problems from many different areas, ranging from agriculture and industry, through medicine and healthcare, to media, education, industry, and space sector.

News/Events

Nada Lavrač received the Zois Award for outstanding scientific achievements

Nada Lavrač received the Zois Award for outstanding scientific achievements

Nada Lavrač received the Zois award for original methods of data representation for effective machine learning. Congratulations!
SmartMOVE Project Committee Meeting – engagement of all involved partners indicates a success story in addressing the management of employee mobility

SmartMOVE Project Committee Meeting – engagement of all involved partners indicates a success story in addressing the management of employee mobility

The 2nd meeting of the project committee of the project SmartMOVE: Smart solutions for sustainable mobility took ...
Lidija Jovanovska successfully defended her master degree

Lidija Jovanovska successfully defended her master degree

Lidija Jovanovska successfully defended her master's degree titled Semantic annotation of machine learning and data
Viktor Andonovikj successfully defended his master degree

Viktor Andonovikj successfully defended his master degree

Viktor Andonovikj successfully defended his master's degree titled: I am pleased to invite you to the defense of my

Projects

EU Projects

National Projects

Other Projects

Publications

MONOGRAPHIES

Collection of all monographs and their basic data, written by members of the department. The books have also been published by the most prestigious publishers such as Springer.

ARTICLES

Here you will find a list of all published scientific articles and  published scientific conference contributions with links to their editions.

THESES

You are invited to read our doctoral dissertations, master’s and bachelor’s degrees.

Department in the media

Sašo Džeroski and Marko Debeljak talk at the 6th Conference on New Technologies in Agriculture

Sašo Džeroski and Marko Debeljak talk at the 6th Conference on New Technologies in Agriculture

Sašo Džeroski and Marko Debeljak talk at the 6th Conference on New Technologies in Agriculture with the title: ...
Senja Pollak was interviewed for radio show “Podobe znanja”

Senja Pollak was interviewed for radio show “Podobe znanja”

Senja Pollak was talking about Embeddia project in weekly radio show "Podobe ...
Interview with Tomaž Erjavec, CLARIN2021 Steven Krauwer Award Winner

Interview with Tomaž Erjavec, CLARIN2021 Steven Krauwer Award Winner

Tomaž Erjavec received the 2021 Steven Krauwer Award of the CLARIN research infrastructure for his work on the ...
Dr. Sašo Džeroski was interviewed for Radio Slovenia

Dr. Sašo Džeroski was interviewed for Radio Slovenia

Dr. Sašo Džeroski was interviewed about trends, usages and values of artificial intelligence for Radio Slovenia ARS
Senja Pollak was interviewed about the findings of the Embeddia project

Senja Pollak was interviewed about the findings of the Embeddia project

Dr. Senja Pollak was interviewed about the EMBEDDIA project (Cross-Lingual Embeddings for Less-Represented ...