DEVELOPMENT OF A WEB SERVICE FOR FORMING A SEMANTIC KERNEL OF A WEBSITE BASED ON DATA MINING METHODS

Dmitry Mironenko, Elena Balalayeva

Abstract


A technique has been developed for the formation of the semantic core of a site for Internet resources with already generated or dynamically generated content. A mathematical model based on data mining methods is given. For analysis and further research, an information technology is developed – a web service. The main users of this web service will be SEO specialists, for whom it will become a convenient tool. This web service relies on data mining methods and statistics on the use of search queries obtained from the Google Search interface. Integration of the data allows to qualitatively select the necessary keywords and give a list of the most optimal, relating to the subject of the site.

For research, the site of the Department of Computer Science of the Azov State Technical University was selected. During the experiment, a list of keywords and phrases was obtained. The words in the list are sorted in decreasing order of performance. The automated formation of the semantic core eliminated the subjectivity of the SEO specialist when selecting words and phrases, the time spent on its formation is ten times less than the manual semantic analysis. The result set included only those words and phrases that are often used in the content and are most significant. Using Google Search to adjust the list of words allows to match words with search queries and select those for which users are looking for information. The web service has a flexible mechanism for regulating (limiting) the number of keywords in the result set.

The main advantage of using this service is that only those words and phrases fall into the semantic core, in response to which there is something to offer visitors on the site.


Keywords


data mining; semantic site core; keywords; search engine optimization; web-service; site-content; automation; information technology

Full Text:

PDF

References


How big is the SEO Industry on the Internet? Available at: http://www.bluecaribu.com/seo-industry

Egri, G., Bayrak, C. (2014). The Role of Search Engine Optimization on Keeping the User on the Site. Procedia Computer Science, 36, 335–342. doi: https://doi.org/10.1016/j.procs.2014.09.102

Ashmanov, I., Ivanov, A. (2011). Optimizatsiya i prodvizhenie saytov v poiskovyh sistemah. Sankt-Peterburg: Piter, 464.

Enzh, E. (2017). SEO. Iskusstvo raskrutki saytov. Sankt-Peterburg: BHV-Peterburg, 812.

Grohovskiy, L. (2011). SEO: rukovodstvo po vnutrennim faktoram. Moscow: TSentr issledovaniy i obrazovaniya. «TopEkspertRF», 133.

Search Engine Optimization (SEO) Starter Guide. Available at: https://support.google.com/

Sevost'yanov, I. O. (2010). Poiskovaya optimizatsiya. Prakticheskoe rukovodstvo po prodvizheniyu sayta v Internete. Sankt-Peterburg: Piter, 240.

Chung, D., Klünder, A. (2007). Suchmaschienen-Optimierung: Darschnell Einstieg. Heidelberg.

Maliy, V., Zolenko, M. (2017). SEO na eksport. Pervaya kniga po prodvizheniyu za rubezhom. Topodin/Ridero, 154.

Mironenko, D. S., Kunak, V. A. (2018). The model of building a semantic kernel. Nauka ta virobnictvo, 19, 179–184. Available at: http://eir.pstu.edu/bitstream/handle/123456789/20589/%d1%81.179-184.pdf?sequence=1




DOI: http://dx.doi.org/10.21303/2585-6847.2019.001047

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Dmitry Mironenko, Elena Balalayeva

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN 2585-6847 (Online), ISSN 2585-6839 (Print)