Mario Lipinski

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This paper evaluates the performance of tools for the extraction of metadata from scientific articles. Accurate metadata extraction is an important task for automating the management of digital libraries. This comparative study is a guide for developers looking to integrate the most suitable and effective metadata extraction tool into their software. We(More)
State-of-the-art plagiarism detection approaches capably identify copy & paste and to some extent slightly modified plagiarism. However, they cannot reliably identify strongly disguised plagiarism forms, including paraphrases, translated plagiarism, and idea plagiarism, which are forms of plagiarism more commonly found in scientific texts. This weakness of(More)
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