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Projects / Programmes source: ARRS

Knowledge Technologies

Periods
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   
1.08.00  Natural sciences and mathematics  Control and care of the environment   
2.06.00  Engineering sciences and technologies  Systems and cybernetics   
6.05.00  Humanities  Linguistics   

Code Science Field
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
Knowledge Technologies, Data Mining, Decision Support, Knowledge Management, Language Technologies, Artificial Intelligence, Machine Learning
Evaluation (rules)
source: COBISS
Researchers (21)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  02749  PhD Marko Bohanec  Engineering sciences and technologies  Researcher  2004 - 2008  632 
2.  08952  PhD Damjan Bojadžiev  Engineering sciences and technologies  Researcher  2004 - 2008  78 
3.  22278  PhD Janez Brank  Engineering sciences and technologies  Junior researcher  2004 - 2006  92 
4.  05806  PhD Bojan Cestnik  Engineering sciences and technologies  Researcher  2004 - 2008  189 
5.  15660  PhD Marko Debeljak  Natural sciences and mathematics  Researcher  2006 - 2008  303 
6.  16415  PhD Damjan Demšar  Engineering sciences and technologies  Researcher  2007 - 2008  46 
7.  11130  PhD Sašo Džeroski  Engineering sciences and technologies  Researcher  2004 - 2008  1,171 
8.  05023  PhD Tomaž Erjavec  Humanities  Researcher  2004 - 2008  599 
9.  28015  PhD Blaž Fortuna  Engineering sciences and technologies  Junior researcher  2007 - 2008  144 
10.  26475  PhD Valentin Gjorgjioski  Engineering sciences and technologies  Junior researcher  2006 - 2008  15 
11.  17137  Marko Grobelnik  Engineering sciences and technologies  Technician  2004 - 2008  419 
12.  20243  PhD Branko Kavšek  Natural sciences and mathematics  Researcher  2004  131 
13.  08949  PhD Nada Lavrač  Engineering sciences and technologies  Principal Researcher  2004 - 2008  852 
14.  12570  PhD Dunja Mladenić  Engineering sciences and technologies  Researcher  2004 - 2008  635 
15.  03323  PhD Igor Mozetič  Engineering sciences and technologies  Researcher  2006 - 2008  181 
16.  26464  MSc Joel Plisson  Engineering sciences and technologies  Junior researcher  2006  13 
17.  29539  PhD Vid Podpečan  Engineering sciences and technologies  Junior researcher  2007 - 2008  89 
18.  16302  PhD Ljupčo Todorovski  Engineering sciences and technologies  Researcher  2004 - 2006  431 
19.  04586  PhD Tanja Urbančič  Engineering sciences and technologies  Researcher  2004 - 2008  289 
20.  22279  PhD Bernard Ženko  Engineering sciences and technologies  Researcher  2004 - 2008  166 
21.  23582  PhD Martin Žnidaršič  Engineering sciences and technologies  Researcher  2004 - 2008  154 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  85,680 
2.  1540  University of Nova Gorica  Nova Gorica  5920884000  13,237 
Abstract
The gap between the amount of data available in digital form and the human capacity to analyse data is increasing in all fields of human activity. Data can come in many forms, from well-structured, such as relational databases, to free text stored on different media and in different languages. Human decision-making has also become more challenging, given the increased amount of information, and the increased number of options available in every decision-making situation. The research program "Knowledge Technologies" aims to carry out basic and applied research in its main research areas - Intelligent Data Analysis, Decision Support, Knowledge Management and Human Language Technologies - all key technologies for the development of the emerging Knowledge-Based Society. The program will advance the state-of-the-art in the above research areas, by developing new methods, techniques, and tools, and by applying them to important practical problems. Applications of Intelligent Data Analysis and Decision Support will include ecological modelling, medical problem solving and health care, economy and marketing. Research in Knowledge Management will be concerned with the management of Virtual Organizations, with an emphasis on the relation between collaborating businesses and academia. In Human Language Technologies the main goals will be the development of tools and models for processing of Slovene and other languages, the compilation of Slovene and multi-lingual corpora, providing support for translating, language teaching and lexicography, and the production of digital archives and complex digital editions. By means of basic and applied research the Knowledge Technologies program will thus advance the Information Society and its activities, businesses and processes.
Significance for science
Research programme aims at scientific excellence, and at setting of new research trends in connection with our EU and other international research projects. The research has significantly contributed to global treasury of knowledge, has advanced Slovene science on a European and global scale, advanced the transfer of scientific results into practice, and improved the development of postgraduate and professional education in Slovenia and Europe. The area of intelligent analysis of structured data (tabular, relational) and multimedia mining (mining texts, images and Web) and the semantic Web has witnessed exceptional growth on a global scale, mainly because of the availability of data on the one hand, and the need of industry and government institutions to master information complexity on the other. The role of knowledge technologies is also increasingly important because they serve as the infrastructure for other disciplines and technologies, e.g. ecology and preservation of the environment, bioinformatics, medicine, health care, economy and linguistics. Department of Knowledge Technologies at Jožef Stefan Institute has, for several years, been at the very top of such analysis efforts, in European and global terms, confirmed through our participation in numerous international projects (28 EU projects in 2004-08, coordination of FP6 project IQ and past EU projects SolEuNet, ILPNet, ILPNet2), papers in leading scientific publications (Journal of Machine Learning Research, Machine Learning Journal, etc.) and prestigious international conferences (ECML, IDA, ICDM, ILP, DS, etc.), organization of numerous workshops, seminars and summer schools, tutorials at international conferences, membership in editorial boards of scientific journals (MLJ, DAMI, ACM TKDD, AIM, AAI, JMLR, JAIR, AI Com, IJCL, JLRE, EcoMod, EcoInf), conference program committees (ICML, ECML/PKDD, ICDM, ILP, KDD, IDA, ACL), invited lectures, invitations to distinguished international scientific (Stanford, MIT, Tokyo Institute of Technology, ...) and commercial institutions (Microsoft Research Cambridge, British Telecom, New York Times), organization and chairing of program committees of conferences and workshops (including ACAI-05, DS-06, ESWC-06, IDA-07, ILP-08). In recent years we have made key contributions to the development of new areas of science, especially inductive logic programming, inductive databases, equation discovery and text mining. In the area of language technologies, our reputation is based on successful applications of machine learning methods to textual data and the development of standardized methods of annotating linguistic data. We also shifted from the morphological and lexical levels towards problems arising due to developing the semantic Web, notably learning and standardizing ontologies. In the area of decision support, we also play a leading role in supporting multi-parametric decision processes.
Significance for the country
The importance of the programme for this development is twofold: 1. Direct significance and role of the programme is embodied in its basic research component, which contributes to the general advancement of knowledge in the area of information technologies. The research programme ensures active inclusion of researchers into national and international scientific trends (e.g. cooperation in EU projects), which is a necessary condition of the development of the emerging knowledge-based society. The specific results include authorships of papers, book chapters and scientific monographs, editing books and special issues of scientific journals and proceedings of international conferences. 2. The second role of the programme is indirect, and expressed in the significance of advanced information technologies as the basis for the development and support for other knowledge intensive areas, ensuring sustainable socio-economic and cultural development. Our results are especially important for Slovenia in the following areas. (a) Methods of intelligent data analysis are used to solve numerous practical problems of environmental sciences and management, e.g. modelling the habitat of forest animals and the growth of algae in aquatic ecosystems. Other contributions include biochemical engineering, medical informatics and the rationalization of the Slovene healthcare system, pharmacology, epidemiology and the prevention of occupational disease in industry, discovering risk groups, and discovering connections between genetic information and clinical symptoms. (b) Our systems for multi-parametric decision support is used in a series of applications in education, healthcare and the evaluation of projects and investments, improving the transparency of activities in public services and administration. (c) The programme is also important for the cultural development of Slovenia. Work in the area of language technologies proceeds in cooperation with Slovene higher eductation and research institutions as well as companies. Our work has applications in Slovene language teaching, lexicography and machine or machine-aided translation, and also concerns digital libraries, esp. the preservation of cultural heritage. (d) The importance of our contributions to the general technological development is connected to the transition of the national economy towards an innovation-oriented and knowledge-based society with a large added value. (e) With technologies for processing and analyzing large amounts of data and exploiting the possibilities of the semantic Web we contribute to the development of our own advanced information technologies that are used in developing added-value services for Slovene and international clients. The research programme has a strong integrative component between research teams as well as with industry. Members of the programme team take active part in the transfer of knowledge through applied projects and training/seminars organized in cooperation with the JSI Centre for knowledge transfer in information technologies. We participate in educational activities of the Universities of Ljubljana, Maribor, Nova Gorica and numerous universities abroad and have contributed to the constitution and curricula development of the study programme New media and e-science at the Jozef Stefan International Postgraduate School. We also organise weekly Solomon seminar, dedicated to improving the general level of education in the area of information technologies. An important step towards the goal of providing distance learning/education is our Web portal Videolectures.net which has already made publicly available more than 4,000 video recordings of lectures from a vast range of scientific events.
Most important scientific results Final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Final report, complete report on dLib.si
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