Distribution of Educational Contents Based on Offering Course Information by Using Automated Metadata Generation

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The purpose of this research is to distribute of educational contents based on offering course information by using automated metadata generation. We developed an information extraction method of course syllabi to make LOM items automatically, and an automatic syllabus classifier to make "classification" item of LOM. And we analyzed the accuracy of each method. As a result, we could find the accuracy rates 93.8% and 87.7%. In addition, we proposed an information extraction method from syllabus list pages on the web by using web scraping and developed a prototype system of offering course syllabi using LOM.