Abstract
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.
This work is supported by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program: “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.
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Wróblewska, A., Podsiadły-Marczykowska, T., Bembenik, R., Rybiński, H., Protaziuk, G. (2013). SYNAT System Ontology: Design Patterns Applied to Modeling of Scientific Community, Preliminary Model Evaluation. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_21
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