Skip to main content
SpringerLink
Log in

Architecture of the Semantically Enhanced Intellectual Property Protection System

  • Conference paper
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 226))

Abstract

This paper presents the structure and the functionality of the Semantically Enhanced Intellectual Property Protection System. The system uses an extensive set of semantic net algorithms for the Polish and English language that which allows it to detect similarities between compared documents on a level far beyond simple text matching. SEIPro2S benefits result both from using a local document repository and from Web based resources. The SeiPro2S system uses a mechanism of semantic compression developed to generalize concepts during a comparison of documents. The main focus of this work is to give the reader an overview of architecture, applied mechanisms and some actual results.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, Addison-Wesley Longman Publishing Co., New York (1999)

    Google Scholar 

  2. Broder, A.Z.: Syntactic clustering of the web. Comput. Netw. ISDN Syst. 29(8-13), 1157–1166 (1997)

    Article  Google Scholar 

  3. Ceglarek, D.: Zastosowanie sieci semantycznej do disambiguacji pojec w jezyku naturalnym. In: Systemy wspomagania organizacji SWO 2006, Wydawnictwo Akademii Ekonomicznej w Katowicach, Katowice (2006)

    Google Scholar 

  4. Ceglarek, D., Haniewicz, K., Rutkowski, W.: Semantically Enhanced Intellectual Property Protection System - SEIPro2S. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS, vol. 5796, pp. 449–459. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  5. Ceglarek, D., Haniewicz, K., Rutkowski, W.: Quality of semantic compression in classification. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010, Part I. LNCS (LNAI), vol. 6421, pp. 162–171. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Ceglarek, D., Haniewicz, K., Rutkowski, W.: Towards knowledge acquisition with wiSENet. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds.) New Challenges for Intelligent Information and Database Systems. SCI, vol. 351, pp. 75–84. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. Ceglarek, D., Haniewicz, K., Rutkowski, W.: Semantic compression for specialised information retrieval systems. In: Nguyen, N.T., Katarzyniak, R., Chen, S.-M. (eds.) Advances in Intelligent Information and Database Systems. SCI, vol. 283, pp. 111–121. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  8. Ceglarek, D., Haniewicz, K.: Fast plagiarism detection by sentence hashing. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS, vol. 7268, pp. 30–37. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. Ceglarek, D., Haniewicz, K., Rutkowski, W.: Robust Plagiary Detection Using Semantic Compression Augmented SHAPD. In: Nguyen, N.-T., Hoang, K., Jędrzejowicz, P. (eds.) ICCCI 2012, Part I. LNCS, vol. 7653, pp. 308–317. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  10. Ceglarek, D.: Single-pass Corpus to Corpus Comparison by Sentence Hashing. In: Proceedings of 5th International Conference on Advanced Cognitive Technologies and Applications Conference. Xpert Publishing Services, Valencia (2013)

    Google Scholar 

  11. Clough, P., Stevenson, M.: A Corpus of Plagiarised Short Answers, University of Sheffield (2009), http://ir.shef.ac.uk/cloughie/resources/plagiarism_corpus.html

  12. Frakes, W.B., Baeza-Yates, R.: Information Retrieval: Data Structures & Algorithms. Prentice-Hall (1992)

    Google Scholar 

  13. Hamid, O.A., Behzadi, B., Christoph, S., Henzinger, M.: Detecting the origin of text segments efficiently. In: Proceedings of the 18th International Conference on World Wide Web, WWW 2009, vol. 7(3), pp. 61–70 (2009)

    Google Scholar 

  14. Hoad, T.C., Zobel, J.: Methods for identifying versioned and plagiarized documents. Journal of the American Society for Information Science and Technology 54(3), 203–215 (2003)

    Article  Google Scholar 

  15. Hotho, A., Staab, S., Stumme, G.: Explaining Text Clustering Results Using Semantic Structures. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 217–228. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  16. Krovetz, R., Croft, W.B.: Lexical Ambiguity and Information Retrieval (1992)

    Google Scholar 

  17. Manber, U.: Finding similar files in a large file system. In: Proceedings of the USENIX Winter 1994 Technical Conference on USENIX, WTEC 1994 (1994)

    Google Scholar 

  18. Miller, G.A.: Wordnet: a lexical database for english Commun., vol. 38. ACM (1995)

    Google Scholar 

  19. Sinha, R., Mihalcea, R.: Unsupervised graph-basedword sense disambiguation using measures of word semantic similarity. In: ICSC, pp. 363–369 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Poznan School of Banking, Poznan, Poland

    Dariusz Ceglarek

Authors
  1. Dariusz Ceglarek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dariusz Ceglarek .

Editor information

Editors and Affiliations

  1. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Robert Burduk

  2. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Konrad Jackowski

  3. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Marek Kurzynski

  4. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Michał Wozniak

  5. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St, Wroclaw, 50-370, Poland

    Andrzej Zolnierek

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Ceglarek, D. (2013). Architecture of the Semantically Enhanced Intellectual Property Protection System. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-00969-8_70

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00968-1

  • Online ISBN: 978-3-319-00969-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation