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- W2384342759 abstract "Integrating all kinds of learning material is becoming more and more significant for the teachers and students to take advantage of the online E-learning courses. As the key part of the whole Online Course Organization System,Metadata Extraction function needs to be accurate enough when dealing with semi-structured documents,even those incompact ones.We design and implement a Metadata Extractor to compare between several rules ordered by priority,and there is another step of information refinement to help improving the final accuracy. When domain changes,users just need to input specific rules,without considering the program. The experiment shows that our new method can perform very well with those semi-structured documents,with F measure higher than 85%,which indicates that this method is quite feasible in reality." @default.
- W2384342759 created "2016-06-24" @default.
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- W2384342759 date "2008-01-01" @default.
- W2384342759 modified "2023-09-25" @default.
- W2384342759 title "A Rule-based Metadata Extractor for Learning Materials" @default.
- W2384342759 hasPublicationYear "2008" @default.
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