Abstract
The paper describes the design and the implementation of a built-in assistant software module aimed at managing the metadata of a federation of collaborative repositories of learning objects. The paper focuses mainly on the standardization of the classification criteria and their application to Molecular sciences.
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Tasso, S., Pallottelli, S., Ciavi, G., Bastianini, R., Laganà, A. (2013). An Efficient Taxonomy Assistant for a Federation of Science Distributed Repositories: A Chemistry Use Case. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_8
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DOI: https://doi.org/10.1007/978-3-642-39637-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39636-6
Online ISBN: 978-3-642-39637-3
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