Automation of the topicality of dissertation subject’s evaluation

Authors

  • R. Sh. Hasanova Національна Академія наук Азербайджану

Keywords:

scietometric, dissertation, abstract, literature, cosine metrics, topicality of themes

Abstract

The paper considers the method of dissertation research evaluation applying new science-metric indices. For evaluation of subject proximity of chapters the model, obtained by means of cosine metrics is suggested. At the same time the method allowing to define automatically the topicality of the subject of thesis is suggested. The similarity between the abstract of the introduction and references, corresponding to the introduction is considered. Further the evaluation of the topicality by distribution of references by years is proposed.

Author Biography

R. Sh. Hasanova, Національна Академія наук Азербайджану

аспірантка, науковий співробітник Інституту інформаційних технологій

References

1. Алгулиев Р. М. Аннотирование текстовых документов с определением скрытых тематических разделов и инфор-мативных предложений / Р. М. Алгулиев, Р. М. Алыгулиев // Автоматика и вычислительная техника. — 2007.
2. Salton G. A vector space model for automatic indexing / G. Salton, A. Wong, and C. S. Yang // Communication of the ACM. — 1975.— Vol. 18, No 11. — P. 613—620.
3. Alguliev R. M. Effective summarization method of text documents / R. M. Alguliev, R. M. Aliguliev // Proc. of the 2005 IEEE/WIC/ACM : International Conf. on Web Intelligence (WI’05). — France. : Compiegne University of Technology, 2005, September 19—22. — P. 264—271.

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Published

2010-11-12

How to Cite

[1]
R. S. Hasanova, “Automation of the topicality of dissertation subject’s evaluation”, Вісник ВПІ, no. 1, pp. 89–91, Nov. 2010.

Issue

Section

Information technologies and computer sciences

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