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Advances in Intelligent Systems and Computing pp 229–240Cite as

Classification Methods of Text Documents Using Ontology Based Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 512))

Abstract

This article discusses an approach to classification of text documents using ontological approach. The method of text documents categorization based on metrics, which uses the rubric ontology specificity, is built.

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References

  1. Andreev, A.M., Berezkyn, D.V., Syuzev, V.V., Shabanov, V.Y.: Models and methods of automatic classification of text sudden-dock. Vestn. Bauman. Avg. Pryborostroenye. Publishing House of Bauman, Moscow, No. 3, pp. 45–51 (2003)

    Google Scholar 

  2. Lytvyn, V.: Multiagent decision support system based on precedent and use adaptive ontology. Electronics, Informatics, Management. Zaporizhzhia, No. 2 (21), pp. 120–126 (2009)

    Google Scholar 

  3. Kruglov, V.V., Borysov, V.V.: Iskusstvennyye neyronnyye seti. Teoriya i praktika. M.: Hotline—Telecom (2001)

    Google Scholar 

  4. Sowa, J.: Conceptual graphs for a database interface. IBM J. Res. Dev. 20(4), 336–357 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  5. Darewych, R.R., Dosyn, D.H., Lytvyn, V.V., Nazarchuk, Z.T.: Assessment of the similarity of text documents based on the weight of items using information knowledge base. Artif. Intell. Donetsk 3, 500–509 (2006)

    Google Scholar 

  6. Thulasiraman, K., Swamy, M.N.: Graphs: theory and algorithms. John Wiley & Sons (2011)

    Google Scholar 

  7. Lytvyn, V., Darevych, R.R., Dosyn, D.H., Shkutyak, N.V.: Design of intelligent agents making decisions in the space of lake-NAC Ontology-based. Artif. Intell. Donetsk-Katsively 2, 100–104 (2010)

    Google Scholar 

  8. Dosyn, D.H., Lytvyn, V.V., Nikolskyy, Y.V., Pasichnyk, V.V.: Intelligent System Based on Ontologies. Civilization, Lviv (2009)

    Google Scholar 

  9. Link Grammar Homepage. Access mode: http://www.link.cs.cmu.edu/link/

  10. Biggs, N., Lloyd, E., Wilson, R.: Graph Theory, pp. 1736–1936. Oxford University Press, Oxford (1986)

    Google Scholar 

  11. Bondy, J.A., Murty, U.S.R.: Graph Theory. Springer. ISBN 978-1-84628-969-9 (2008)

    Google Scholar 

  12. Alan, R.J.: A machine-oriented logic based on the resolution principle. J. ACM (JACM) 12(1), 23–41 (1965)

    Article  MathSciNet  Google Scholar 

  13. Ramı, J., Vlach, M.: Pareto-optimality of compromise decisions. Fuzzy Sets Syst. 129(1), 119–127 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  14. Poirriez, V., Yanev, N., Andonov, R.: A hybrid algorithm for the unbounded knapsack problem. Disc. Opt. 6(1), 110–124 (2009)

    Article  MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Information Systems and Network Department, Lviv Polytechnic National University, Lviv, Ukraine

    Vasyl Lytvyn, Victoria Vysotska, Oleh Veres & Ihor Rishnyak

  2. Applied Linguistics Department, Lviv Polytechnic National University, Lviv, Ukraine

    Halya Rishnyak

Authors
  1. Vasyl Lytvyn
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  2. Victoria Vysotska
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  3. Oleh Veres
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  4. Ihor Rishnyak
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  5. Halya Rishnyak
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Corresponding author

Correspondence to Vasyl Lytvyn .

Editor information

Editors and Affiliations

  1. Lviv Polytechnic National University , Lviv, Ukraine

    Natalya Shakhovska

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Lytvyn, V., Vysotska, V., Veres, O., Rishnyak, I., Rishnyak, H. (2017). Classification Methods of Text Documents Using Ontology Based Approach. In: Shakhovska, N. (eds) Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-45991-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-45991-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45990-5

  • Online ISBN: 978-3-319-45991-2

  • eBook Packages: EngineeringEngineering (R0)

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