review of challenges in content extraction in web based personalized learning content management systems
A preliminary work in support of our research in developing ontology driven LO extraction analyzes some of the existing Learning Content Management Systems (LCMS) with emphasis on Architecture and Design Issues. Learning Object Repositories (LOR) have great impact on retrieval and storage of contents, so performance improvement issues via content aggregation in LORs have been studied in this paper. The paper discusses the challenges that are being faced by Web-Based LCMS with regards to content extraction.
personalized learning content aggregation wblcms learning object content models standards metadata