Title:
Submission Tool for the DSpace-Based Learning Object Repository

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Moen, William E.
Polyakov, Serhiy
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Collections
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Abstract
The poster briefly reports our experience with building Learning Object Repository based on DSpace and analyzes some problems we encountered with the submission system. The poster describes custom submission tool that can be used as an alternative to the DSpace submission system and provides useful extensions that allow connecting to the automatic keyword extraction services and generating of IMS and SCORM packages.
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Date Issued
2009-05
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Text
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Proceedings
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