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Projects / Programmes source: ARIS

Semantično odkrivanje zakonitosti v okolju spletnih servisov (SemantičniSoKD) (Slovene)

Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
Evaluation (rules)
source: COBISS
Researchers (10)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  02749  PhD Marko Bohanec  Computer science and informatics  Researcher  2009 - 2012  639 
2.  12688  PhD Kristina Gruden  Biotechnology  Researcher  2009 - 2012  985 
3.  08949  PhD Nada Lavrač  Computer science and informatics  Head  2009 - 2012  867 
4.  29178  PhD Dany Morisset  Biotechnology  Researcher  2009 - 2012  121 
5.  03323  PhD Igor Mozetič  Computer science and informatics  Researcher  2009 - 2012  184 
6.  29539  PhD Vid Podpečan  Computer science and informatics  Junior researcher  2009 - 2012  103 
7.  27865  PhD Jana Vojvoda  Biochemistry and molecular biology  Researcher  2009  43 
8.  03765  PhD Jana Žel  Biotechnology  Researcher  2009 - 2012  619 
9.  22279  PhD Bernard Ženko  Computer science and informatics  Researcher  2009 - 2012  172 
10.  23582  PhD Martin Žnidaršič  Computer science and informatics  Researcher  2009 - 2012  165 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0105  National Institute of Biology  Ljubljana  5055784  13,258 
2.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,695 
Significance for science
The Semantic SoKD project is relevant for science because it has the potential to become a new knowledge discovery paradigm through its prototype implementation in the Orange4WS platform. The Semantic SoKD paradigm shift consists of the following breakthrough approaches, compared to the current data mining technologies: - Orange4WS adopts a service-oriented knowledge discovery paradigm. This paradigm gives the flexibility for orchestrating different services that are needed for data/information/knowledge finding, filtering, mining, intelligently fusing, etc. - Orange4WS functions in the distributed setting of the Web. - Orange4WS uses input and output (results of mining and fusing knowledge) that are close to the scientists’ way of thinking. We foresee improvements of results in several application domains, with an emphasis on medical and bioinformatics domains. These results are being evaluated by domain experts from the National Institute of Biology in Ljubljana. In broader terms, this project addresses the open problem of assisting scientists with the increasingly daunting task of heterogeneous and distributed information fusion and knowledge discovery. Solving this problem requires the development of a new computational paradigm that integrates ideas from different supporting domains. An adequate solution to this problem will result in new technologies that are relevant to a range of applications. It covers issues such as knowledge management and creation, but goes beyond them in assisting users (particularly scientists). Knowledge gained from the development of the Orange4WS platform enabled further research in this area. As a result of this in 2012 our research group Knowledge technologies started to develop a new platform called ClowdFlows which can be used for creating and executing data mining workflows in all modern web browsers.
Significance for the country
The project Semantic SoKD succesfully linked two research groups (Jozef Stefan Institute and National Institute of Biology) from different, multidisciplinary fields (knowledge technologies and biology). The SegMine methodology, implemented in the Orange4WS platform, which is publicly available at http://segmine.ijs.si/, has already been used by the experts from the National Institute of Biology as a support for their research work in bioinformatics. It also linked Slovenian researchers with European research groups (University of Helsinki), and fostered joint research work on international projects (EU FP7 project BISON). It enabled high quality, project oriented education of young researchers, their involvement in current state-of-the-art research and active collaboration with international research groups. Apart from that, the basic research contributes to a higher level of awareness and general knowledge in the area of information technologies. Interdisciplinary applications, in our case bioinformatics, contribute to formation of new ideas and insights in the application domains and raise the level of applicability of information technologies.
Most important scientific results Annual report 2009, 2010, 2011, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2009, 2010, 2011, final report, complete report on dLib.si
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