Plagurism Detection

Plagurism detection (and Intellectual Property Theft in general) is a growing trend as technology facilitates the ease of information reuse. Current technology is being developed to automatically identify potential cases of plagurism. Detecting plagurism is a task beyond the scope of traditional accessment as resources may of been illegally incorporated into another from the growing mass of available online knowledge, finding such cases is a needle in a haystack task becoming ever more unmanagable by an individual as knowledge resources expand (Information Overload).

Today plagurism detection techniques combine infromation retrieval and similarity analysis to automatically find potential candidates for potential plagurism. Information Retrieval is used to find potential plagurism material for further investigation. Similarity analysis then provides the further analysis to determine the similarity between the candidate knowledge. Similarity is often considered with textual similarity using String Metricsand libraries such as SimMetrics to calculate the similarity between sources.