Skip to main content
SpringerLink
Log in

Extraction of Physical Effects Based on the Semantic Analysis of the Patent Texts

  • Conference paper
  • First Online:
Creativity in Intelligent Technologies and Data Science (CIT&DS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 754))

Included in the following conference series:

Abstract

The paper represents new methodology of semantic analysis for physical effects extracting. This methodology is based on the Tuzov ontology that formally describes the Russian language. In this paper, semantic patterns were described to extract structural physical information in the form of physical effects. A new algorithm of text analysis was described. The approach is applied to the database of physical effects and to the patent texts. The results of the proposed method compared with the results of the IOFEE system that is used for the same tasks. The method described in this article allowed increasing efficiency of the physical effect elements extracting. The semantic analyzer based on the Tuzov ontology was created to increase the accuracy and completeness of the method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Korobkin, D.M., Fomenkov, S.A., Kamaev, V.A., Fomenkova, M.A.: Multi-agent model of ontology- based extraction of physical effects descriptions from natural language text. In: Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM), pp. 498–501. Atlantis Press (2016). doi:10.2991/itsmssm-16.2016.13

  2. Pleshko, V.V., Ermakov, A.V.: Semantic interpretation in text analysis computer systems. J. Inf. Technol. (2009)

    Google Scholar 

  3. Taylor, J.: First Look – Attensity 5.5 decision, management, solutions. In: 5 International Conference on Information Technologies in Business and Industry (2017)

    Google Scholar 

  4. Krupka, G.R., Hausman, K.I.: Description of the NetOwl TM Extractor system as used for MUC-7. In: MUC-7 (1998)

    Google Scholar 

  5. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)

    Book  MATH  Google Scholar 

  6. Nivre, J., Hall, J., Nilsson, J.: MaltParser: a data-driven parser-generator for dependency parsing. In: Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC), Genoa, Italy, pp. 2216–2219 (2006)

    Google Scholar 

  7. Tukeyev, U.A., Melby, A.K., Zhumanov, Z.M.: Models and algorithms of translation of the Kazakh language sentences into English language with use of link grammar and the statistical approach. In: IV Congress of the Turkic World Math. Society, Baku (2014)

    Google Scholar 

  8. Azarova, I.: The matching of AGFL subcategories to Russian lexical and grammatical groupings. In: Proceedings of the Second AGFL Workshop on Syntactic Description and Processing of Natural Language (2002)

    Google Scholar 

  9. Ogogrodnik, P.B., Serebryannaya, L.V.: Text analysis with Tomita parser. In: International Conference (BSUIR), Minsk, pp. 230–231 (2014)

    Google Scholar 

  10. Tuzo, V.A.: Computer Linguistics. St. Petersburg State University Press, St. Petersburg (1998)

    Google Scholar 

  11. Korobkin, D., Fomenkov, S., Kolesnikov, S., Lobeyko, V., Golovanchikov, A.: Modification of physical effect model for the synthesis of the physical operation principles of technical system. In: Kravets, A., Shcherbakov, M., Kultsova, M., Shabalina, O. (eds.) CIT&DS 2015. CCIS, vol. 535, pp. 368–378. Springer, Cham (2015). doi:10.1007/978-3-319-23766-4_29

    Google Scholar 

  12. Fomenkov, S., Korobkin, D., Kolesnikov, S.: Method of ontology-based extraction of physical effect description from Russian text. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds.) JCKBSE 2014. CCIS, vol. 466, pp. 321–330. Springer, Cham (2014). doi:10.1007/978-3-319-11854-3_27

    Google Scholar 

  13. Fomenkov, S.A., Kolesnikov, S.G., Korobkin, D.M., Kamaev, V.A., Orlova, Y.A.: The information filling of the database by physical effects. J. Eng. Appl. Sci. 9, 422–426 (2014)

    Google Scholar 

  14. Patent US 20100051095 A1 “Hybrid Photovoltaic Cell Using Amorphous Silicon Germanium Absorbers With Wide Bandgap Dopant Layers and an Up-Converter”

    Google Scholar 

  15. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. J. Inf. Process. Manag. 24(5), 513–523 (1988)

    Article  Google Scholar 

  16. U.S. Patent Grant Data/XML v4.3. http://www.uspto.gov/sites/default/files/products/Patent_Grant_XML_v4.3.pdf

  17. Zlotin, B., Zusman, A.: Directed Evolution: Philosophy Theory and Practice. Ideation International, Southfield (2001)

    Google Scholar 

  18. Fey, V., Rivin, E.: Innovation on Demand: New Product Development Using TRIZ. Cambridge University Press, Cambridge (2005)

    Book  Google Scholar 

  19. Blei, D.M.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(4–5), 993–1022 (2003)

    MATH  Google Scholar 

  20. Korobkin, D.M., Fomenkov, S.A., Kravets, A.G., Golovanchikov, A.B.: Patent data analysis system for information extraction tasks. In: 13th International Conference on Applied Computing (AC), pp. 215–219. IADIS (2016)

    Google Scholar 

  21. Toutanova, K., Manning, C.D.: Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In: EMNLP 2000, Hong Kong, pp. 63–70 (2000)

    Google Scholar 

  22. Hall, J.: MaltParser – An Architecture for Inductive Labeled Dependency Parsing. University of Colorado (2006)

    Google Scholar 

  23. Mel’čuk, I.A.: Dependency Syntax: Theory and Practice. SUNY Publication, New York (1988)

    Google Scholar 

  24. Stanford typed dependencies manual. https://nlp.stanford.edu/software/dependencies_manual.pdf

  25. Korobkin, D.M., Fomenkov, S.A., Kolesnikov, S.G., Voronin, Y.F.: System of physical effects extraction from natural language text in the internet. J. World Appl. Sci. J. 24, 55–61 (2013)

    Google Scholar 

  26. Dvoryankin, A.M., Polovinkin, A.I., Sobolev, A.N.: Automating the search for operation principles of technical systems on the basis of a bank of physical phenomena. J. Cybern. 14, 79–86 (1978)

    Article  Google Scholar 

  27. Arel, E.: Goldfire Innovator. Volume II: Patents and Innovation Trend Analysis User Guide. Invention Machine Corporation, Boston (2004)

    Google Scholar 

Download references

Acknowledgement

This research was partially supported by the Russian Fund of Basic Research (grants No. 15-07-09142 A, No.15-07-06254 A, No. 16-07-00534 A).

Author information

Authors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Marina Fomenkova, Dmitriy Korobkin & Sergey Fomenkov

Authors
  1. Marina Fomenkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dmitriy Korobkin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sergey Fomenkov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marina Fomenkova .

Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla Kravets

  2. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  3. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova

  4. University of Patras, Patras, Greece

    Peter Groumpos

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Fomenkova, M., Korobkin, D., Fomenkov, S. (2017). Extraction of Physical Effects Based on the Semantic Analysis of the Patent Texts. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-65551-2_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65550-5

  • Online ISBN: 978-3-319-65551-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation