Double Funding of Scientific Projects: Similarity and Plagiarism Detection

Authors

Grigoriev O. Zubarev D. Sochenkov I.

Annotation

The paper describes the problem of scientific projects double funding. A method for double funding detection is presented, which is based on text similarity and plagiarism detection. We conduct experiments on a dataset provided by the Russian Foundation for Basic Research. We show some statistics of found text reuse cases and outline strategies that are used to get double funding.

External links

Article in the Collection of Scientific Papers at the XIX International Conference DAMDID / RCDL’2017 website: https://damdid2017.frccsc.ru/files/DAMDID_RCDL_2017_Proceedings.pdf

Read at ResearchGate: https://www.researchgate.net/publication/324013260_Double_Funding_of_Scientific_Projects_Similarity_and_Plagiarism_Detection

Reference link

Zubarev D. V., Sochenkov I. V., Tikhomirov I. A., Grigoriev O. G. Double Funding of Scientific Projects: Similarity and Plagiarism Detection. Paper from «Data Analytics and Management in Data Intensive Domains» conference (DAMDID/RCDL 2017), pp. 282-285 (2017)