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Ontology-Based Technology for Development of Intelligent Scientific Internet Resources

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Intelligent Software Methodologies, Tools and Techniques (SoMeT 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 532))

Abstract

The paper discusses the main features of a technology for the development of subject-based Intelligent Scientific Internet Resources (ISIR) providing content-based access to systematized scientific knowledge and information resources related to a certain knowledge area and to their intelligent processing facilities. An important merit of ISIR is its ability to reduce appreciably the time required to access and analyze information thanks to the accumulation of the semantic descriptions of the basic entities of a knowledge area being modeled, the Internet resources relevant to this area, and the information processing facilities (including web-services) used in it directly in the ISIR content. The specific features of the technology are the use of ontology and semantic network formalisms and orientation to experts, i.e. specialists in the knowledge areas for which ISIR are built.

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Acknowledgments

The authors are grateful to the Russian Foundation for Basic Research (grant No. 13–07–00422) for financial support of this work.

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Authors and Affiliations

  1. A.P. Ershov Institute of Informatics Systems, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia

    Yury Zagorulko & Galina Zagorulko

Authors
  1. Yury Zagorulko
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  2. Galina Zagorulko
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Corresponding author

Correspondence to Yury Zagorulko .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  2. University of Naples "Federico II", Napoli, Italy

    Guido Guizzi

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Zagorulko, Y., Zagorulko, G. (2015). Ontology-Based Technology for Development of Intelligent Scientific Internet Resources. In: Fujita, H., Guizzi, G. (eds) Intelligent Software Methodologies, Tools and Techniques. SoMeT 2015. Communications in Computer and Information Science, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-22689-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-22689-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22688-0

  • Online ISBN: 978-3-319-22689-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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