SYNAT system ontology: Design patterns applied to modeling of scientific community, preliminary model evaluation

Anna Wróblewska , T Podsiadły-Marczykowska , Robert Bembenik , Henryk Rybiński , Grzegorz M. Protaziuk


The paper presents the extended version of the SYNAT system ontology, used design patterns, modeling choices and preliminary evaluation of the model. SYNAT system ontology was designed to define semantic scope of the SYNAT platform. It covers concepts related to scientific community and its activities i.e.: people in science and their activities, scientific and sciencerelated documents, academic and non-academic organizations, scientific events and data resources, geographic notions necessary to characterize facts about science as well as classification of scientific topics. In its current version SYNAT system ontology counts 472 classes and 296 properties, its consistency was verified using Pellet and HermiT reasoners. © 2013 Springer-Verlag Berlin Heidelberg.

Author Anna Wróblewska (FMIS / DCSDCAM)
Anna Wróblewska,,
- Department of CAD/CAM Systems Design and Computer-Aided Medicine
, T Podsiadły-Marczykowska - [Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences]
T Podsiadły-Marczykowska,,
- Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
, Robert Bembenik (FEIT / IN)
Robert Bembenik,,
- The Institute of Computer Science
, Henryk Rybiński (FEIT / IN)
Henryk Rybiński,,
- The Institute of Computer Science
, Grzegorz M. Protaziuk (FEIT / IN)
Grzegorz M. Protaziuk,,
- The Institute of Computer Science
Book Studies in Computational Intelligence, Studies in Computational Intelligence, 2013, ISBN 9783642356469, 323-340 p.
ASJC Classification1702 Artificial Intelligence
Languageen angielski
Score (nominal)0
ScoreMinisterial score = 0.0, 19-12-2019, MonographChapterAuthor
Publication indicators Scopus Citations = 4; GS Citations = 4.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.54
Citation count*4 (2020-09-17)
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