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Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy&paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.  Contents Current state of plagiarism detection approaches and systems Citation-based Plagiarism Detection  Target Groups Readers interested in the problem of plagiarism in the sciences Faculty and students from all disciplines, but especially computer science The Author Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.

Plagiarism --- Cheating (Education) --- Prevention. --- Academic dishonesty --- Cheating in education --- Cheating in school --- Student cheating --- Student dishonesty --- Honesty --- Students --- Authorship --- Copyright infringement --- Literary ethics --- Literature --- Quotation --- Torts --- Imitation in literature --- Originality in literature --- Conduct of life --- Artificial intelligence. --- Information systems. --- Artificial Intelligence. --- Information Systems and Communication Service. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace

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Die 7. Ausgabe der "Grundlagen der praktischen Information und Dokumentation" (Erstausgabe 1972) heißt jetzt: „Grundlagen der Informationswissenschaft". Der Bezug zur Praxis und zur Ausbildung bleibt erhalten, aber der neue Titel trägt dem Rechnung, dass die wissenschaftliche theoretische Absicherung für alle Bereiche von Wissen und Information, nicht nur in der Fachinformation, sondern auch in den Informationsdiensten des Internet immer wichtiger wird. Für die Grundlagen sind 73 Artikel in 6 Hauptkapiteln vorgesehen. Viele Themen werden zum ersten Mal behandelt, z.B. Information und Emotion, Informationelle Selbstbestimmung, Informationspathologien. Alle Beiträge sind neu verfasst. The seventh edition of the Principles of Practical Information and Documentation is now called: The Principles of Information Science. The new title does justice to the fact that there is an increasing need to theorize how we deal with knowledge and information in practice, training, and research; as well as the development of information skills, in particular in online information services. All articles in the volume have been rewritten.

Information and documentation.