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Automated Monitoring of Changes in Web Resources

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1020))

Abstract

The system providing the automated monitoring of changes in web resources was designed and developed. The entire process is divided into five parts. Each subsequent stage included some parts of the previous one. The practical value of this system resides in the ability to detect, in the shortest possible time, the changes in web-resource. In case, if unwanted changes were detected, the user will be able to perform the correction without the need for constant monitoring of content by developers. This facilitates the process of restoring the satisfactory state of web site after unauthorized changes were made. It also allows to track the competitors’ web pages in order to timely improve their own products.

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References

  1. Iturrioz J, Azpeitia I, Díaz O (2014) Generalizing the like button: empowering websites with monitoring capabilities. In: Proceedings of the 29th annual ACM symposium on applied computing, pp 743–750

    Google Scholar 

  2. Maggi F, Robertson W, Kruegel C, Vigna G (2009) Protecting a moving target: addressing web application concept drift. In: International workshop on recent advances in intrusion detection. Springer, Berlin, pp 21–40

    Google Scholar 

  3. Christensen JH (2009) Using RESTful web-services and cloud computing to create next generation mobile applications. In: The 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications, pp 627–634

    Google Scholar 

  4. Neugschwandtner M, Neugschwandtner G, Kastner W (2007) Web services in building automation: mapping KNX to oBIX. In: International conference on industrial informatics, pp 87–92

    Google Scholar 

  5. Chen L, Hind JR, Li Y, Xiao L (2013) U.S. patent no. 8,613,039. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  6. Breiter G, Jall D, Mueller M, Neef A, Reitz M (2014) U.S. patent no. 8,812,424. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  7. Quintero AH, Fedor JS, Quan AG, Richardson K, Scott DW, Piper KA (2005) U.S. patent no. 6,910,071. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  8. Leshko I, Firstenberg Y, Kumar N (2013) U.S. patent application no. 13/528,873

    Google Scholar 

  9. Dan A et al (2004) Web services on demand: WSLA-driven automated management. IBM Syst J 43(1):136–158

    Article  Google Scholar 

  10. Shelby Z (2010) Embedded web services. Wirel Commun 17(6):52–57

    Article  Google Scholar 

  11. Garanina N, Sidorova E, Kononenko I, Gorlatch S (2017) Using multiple semantic measures for coreference resolution in ontology population. Int J Comput 16(3):166–176

    Google Scholar 

  12. Colton P, Sarid U (2014) U.S. patent no. 8,880,678. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  13. Colton P, Sarid U (2009) U.S. patent no. 7,596,620. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  14. Colton P, Sarid U (2012) U.S. patent no. 8,291,079. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  15. Colton P, Sarid U (2015) U.S. patent no. 8,954,553. U.S. Patent and Trademark Office, Washington, DC

    Google Scholar 

  16. Lytvyn V, Sharonova N, Hamon T, Vysotska V, Grabar N, Kowalska-Styczen A (2018) Computational linguistics and intelligent systems. In: CEUR workshop proceedings, vol 2136

    Google Scholar 

  17. Vysotska V, Fernandes VB, Emmerich M (2018) Web content support method in electronic business systems. In: CEUR workshop proceedings, vol 2136, pp 20–41

    Google Scholar 

  18. Kanishcheva O, Vysotska V, Chyrun L, Gozhyj A (2018) Method of integration and content management of the information resources network. In: Advances in intelligent systems and computing, vol 689. Springer, pp 204-216 (2018)

    Google Scholar 

  19. Lytvyn V, Vysotska V (2015) Designing architecture of electronic content commerce system. In: Proceedings of the X-th international scientific and technical conference computer science and information technologies, CSIT 2015, pp 115–119

    Google Scholar 

  20. Vysotska V, Hasko R, Kuchkovskiy V (2015) Process analysis in electronic content commerce system. In: 2015 X-th international scientific and technical conference computer sciences and information technologies (CSIT), pp 120–123

    Google Scholar 

  21. Kravets P (2010) The control agent with fuzzy logic. In: Perspective technologies and methods in MEMS design, MEMSTECH 2010, pp 40–41

    Google Scholar 

  22. Gozhyj A, Chyrun L, Kowalska-Styczen A, Lozynska O (2018) Uniform method of operative content management in web systems. In: CEUR workshop proceedings computational linguistics and intelligent systems, vol 2136, pp 62–77

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Victoria Vysotska, Yevhen Burov, Vasyl Lytvyn & Oleg Oleshek

  2. Silesian University of Technology, Gliwice, Poland

    Vasyl Lytvyn

Authors
  1. Victoria Vysotska
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  2. Yevhen Burov
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  3. Vasyl Lytvyn
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  4. Oleg Oleshek
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Corresponding author

Correspondence to Victoria Vysotska .

Editor information

Editors and Affiliations

  1. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

  2. Jan Evangelista Purkyně University in Ústi and Labem, Usti and Labem, Czech Republic

    Sergii Babichev

  3. Lublin University of Technology, Lublin, Poland

    Waldemar Wójcik

  4. IT Step University, Lviv, Ukraine

    Olena Vynokurova

  5. Kherson National Technical University, Kherson, Ukraine

    Svetlana Vyshemyrskaya

  6. Kherson National Technical University, Kherson, Ukraine

    Svetlana Radetskaya

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Vysotska, V., Burov, Y., Lytvyn, V., Oleshek, O. (2020). Automated Monitoring of Changes in Web Resources. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol 1020. Springer, Cham. https://doi.org/10.1007/978-3-030-26474-1_25

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