Projects / Programmes
Semantično odkrivanje zakonitosti v okolju spletnih servisov (SemantičniSoKD) (Slovene)
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 |
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)
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