Mathematicians at FIZ Karlsruhe and Bergische Universität Wuppertal have been successful with their project to develop methods for the detection of veiled scientific plagiarism, such as paraphrases, translations or plagiarism of ideas, as they occur especially in the so-called MINT disciplines (mathematics, engineering, natural and technical sciences). In order to achieve this goal, FIZ Karlsruhe researches how potentially suspicious similarities between documents can be detected by analysing mathematical expressions, as text- and language-independent features. This new, consistently mathematics-based approach to plagiarism detection is combined with text- and citation-based approaches from previous research activities. Such analyses of various similarity characteristics are particularly well suited to identify the broad spectrum of scientific forms of plagiarism.
This is supposed to enable the scientific community and providers of plagiarism detection services to make even thoroughly veiled scientific plagiarism more transparent. FIZ Karlsruhe and Bergische Universität Wuppertal feel committed to transparency also in another way - they will realise their research contributions in the free open source plagiarism detection system HyPlag and make their code and research data publicly accessible. In addition, the joint research contributions will be continuously evaluated together with the editors of the renowned information service zbMATH.
zbMATH is the central platform for this purpose. The information service provides detailed records of mathematical publications dating back to 1868 and offers access to more than 3.7 million bibliographic references from the world's scientific literature. Summarised and evaluated by an international network of more than 7,000 scientists, the scientific quality of the articles becomes transparent to the public.
The information service zbMATH, which has so far been subject to charges, will be converted into an open access platform and will be freely accessible to the mathematical community worldwide from 2021 on. The better detection of plagiarism will thus gain more importance.
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