THE SCIENTIFIC BUSINESS OF THOMSON REUTERS TO OFFER PLAGIARISM DETECTION SERVICE VIA MANUSCRIPT CENTRAL IN CONJUNCTION WITH CROSSCHECK
Manuscript Central v4.2 to Offer its Customers Access to Services Verifying the Originality of All Scholarly Content Submitted on the System
Philadelphia , PA USA - May 1, 2008 - The Scientific business of Thomson Reuters today announced that Manuscript Central’s online workflow system will incorporate the iThenticate checking tool into its submission and peer review process, and will develop suitable policies and guidelines. CrossRef recently announced an agreement with iParadigms, LLC to launch the CrossCheck service to aid in verifying the originality of scholarly content. Following on the success of CrossRef’s recent pilot of CrossCheck, the service is scheduled to go live in June and will be offered via Manuscript Central.
Manuscript Central’s integration with the iThenticate tool will allow CrossCheck member journals and publishers to send submissions for comparison to the iThenticate service at any point in the peer review or acceptance workflow. With status indicators and a quick view of comparison results, journals will be enabled to investigate suspected documents much further back in the peer review process, potentially saving valuable time and resources in the peer review workflow.
What is Snort?
Snort® is an open source network intrusion prevention and detection system utilizing a rule-driven language, which combines the benefits of signature, protocol and anomaly based inspection methods. With millions of downloads to date, Snort is the most widely deployed intrusion detection and prevention technology worldwide and has become the de facto standard for the industry.
Web content mining is related but different from data mining and text mining. It is related to data mining because many data mining techniques can be applied in Web content mining. It is related to text mining because much of the web contents are texts. H
I. Golan, und R. El-Yaniv. Proceedings of the 32nd International Conference on Neural Information Processing Systems, Seite 9781–9791. Red Hook, NY, USA, Curran Associates Inc., (2018)