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SYNAT System Ontology: Design Patterns Applied to Modeling of Scientific Community, Preliminary Model Evaluation

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Intelligent Tools for Building a Scientific Information Platform

Part of the book series: Studies in Computational Intelligence ((SCI,volume 467))

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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Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warszawa, Poland

    Anna Wróblewska, Robert Bembenik, Henryk Rybiński & Grzegorz Protaziuk

  2. Institute of Biocybernetics and Bioengineering, Trojdena 4, 02-109, Warszawa, Poland

    Teresa Podsiadły-Marczykowska

Authors
  1. Anna Wróblewska
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  2. Teresa Podsiadły-Marczykowska
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  3. Robert Bembenik
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  4. Henryk Rybiński
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  5. Grzegorz Protaziuk
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Corresponding author

Correspondence to Anna Wróblewska .

Editor information

Editors and Affiliations

  1. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Robert Bembenik

  2. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Lukasz Skonieczny

  3. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Henryk Rybinski

  4. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Marzena Kryszkiewicz

  5. , Interdisciplinary Centre for, University of Warsaw, Pawińskiego 5a bl. D, Warsaw, 02-106, Poland

    Marek Niezgodka

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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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  • DOI: https://doi.org/10.1007/978-3-642-35647-6_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35646-9

  • Online ISBN: 978-3-642-35647-6

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