CADIAL

KTN Indexing System

eCADIS

System for morphological
normalisation

Faculty of Electrical Engineering and Computing (in Croatian Fakultet elektrotehnike i računarstva - FER) is the largest technical faculty and leading educational and research and development institution in the fields of electrical engineering, information and communication technology and computing in the Republic of Croatia. Being a part of the University of Zagreb, FER has its roots in the Technical Faculty, founded in 1919. Over the last 50 years more than 15,000 students graduated at the engineer's degree level (Dipl.-Ing.), and more than 650 students obtained the doctoral degree by FER.

Determined to remain a respectable research institution, FER undertakes scientific research at the highest international standards. The Faculty has developed valuable international co-operation with many research institutions around the world, through inter-university co-operation and international research and development projects.
The Faculty also offers a broad spectrum of services to business and industry, from research and consulting to training, postgraduate recruitment and life-long learning.

Knowledge Technology Laboratory (KTLab) is part of the Department of Electronic, Microelectronics, Computer and Intelligent Systems at FER. KTLab is a group of young and talented people focused on research and development in the fields of intelligent systems, machine learning, data and text mining, natural language processing and information retrieval. Members of the group are Jan Šnajder, MSc, Jure Mijić, BSc, Frane Šarić, BSc, and Artur Šilić, BSc, led by Prof. Bojana Dalbelo Bašić. Since 2007, when it was founded, KTLab has been involved in several research projects, e.g. Knowledge Discovery in Textual Data, a French-Croatian project, and CADIAL (Computer Aided Document Indexing for Accessing Legislation), a Flemish-Croatian project.

Along with intensive research activities resulting in published papers in distinguished scientific journals and conferences, KTLab has developed close co-operation with private companies and public institutions that require products and consultancy in the area of KTLab expertise such as automatic document/news processing and classification, automatic keyword assignment, intelligent information retrieval, visualisation of large corpora to name but a few.

These systems/solutions have already been applied in many areas concerning document processing, ranging from e-government, e-libraries to news agencies.

KTLab group has developed several commercial products and some have received several awards (VIDI e-novation award in 2007 and 2009, Rector's award, and Prime Minister's award).