Artificial Intelligence E3


Research departments
Administration and support units


The Department for Artificial Intelligence is concerned mainly with research and development in information technologies with an emphasis on artificial intelligence. The main research areas are the following: (a) data analysis with an emphasis on text, web and cross-modal data, (b) scalable real-time data analysis, (c) visualization of complex data, (d) semantic technologies, (e) language technologies. The Department has a well-established collaboration with a number of academic and commercial organizations world-wide.


  • Artificial Intelligence
  • Machine Learning
  • Data-Mining, Text-Mining, Web-Mining, Multimedia Mining
  • Semantic Technologies
  • Social Network Analysis
  • Language Technologies, Natural Language Processing
  • Multi-lingual, Cross-lingual Technologies
  • Scalable, Real-time Data Analysis
  • Data Visualization
  • Knowledge Management
  • Knowledge Reasoning
  • Sensor Networksa omrežja

Departmental web pages

Head of Department
Prof. Dunja Mladenić, PhD,

Jasna Franko,
Phone: (01) 477 35 28
Mateja Škraba,

The Department for Artificial Intelligence has employees and students with an international background and with expertise in different areas of artificial intelligence. Besides research results reported in international publications, they have also developed several software tools for multimodal data analysis. Among others: Text-Garden, a suite of text mining tools; OntoGen, a tool for ontology learning; Document-Atlas, a tool for complex visualization; AnswerArt, a system for semantic search on large databases; Enrycher, a system for semantic enrichment of textual data; SearchPoint, a portal for visual and contextualized Web browsing; Contextify a tool for contextualized e-mail and contact management.

In collaboration with the Department of Communication Systems (E6) and Centre for Knowledge Transfer in Information Technologies (CT3) we have established a cross-department laboratory for wireless sensor networks. The goal is to combine technologies for (a) sensor data acquisition, (b) communication between sensor devices, (c) statistical real-time data analysis, (d) semantic technologies, and to enable a wide range of research and development in different application areas, such as energy, ecology, transport, security, and logistics.

The Department for Artificial Intelligence puts special emphasis on the promotion of science. Activities on several projects related to women in science are presented at the Web portal ScienceWithArt. In collaboration with the Centre for Knowledge Transfer in Information Technologies (CT3) we are developing the VideoLectures.NET educational portal and organizing the national ACM competition in Computer Science.

The Department for Artificial Intelligence has a well-established collaboration with a number of academic and commercial organizations, some members of the department are involved with Stanford University, University College London, Jožef Stefan International Postgraduate School and companies Quintelligence, Cycorp Europe, LifeNetLive, Modro Oko and Envigence.

J. Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia, Telephone: +386 1 477 39 00, Fax: +386 1 251 93 85