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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 116))

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Abstract

This paper proposes an approach to automatically extract metadata from educational resources using citation chain. Tracing the cited relationship between literatures, utilizing pattern matching algorithm to determine the most appropriate pattern for resolution, taking advantage of preorder traversal algorithm to query literature one by one, the metadata of educational resources, which are cited by others, can be extracted automatically. The experimental results show that the approach we proposed is fast, efficient in metadata auto-extracting for educational resources.

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© 2012 Springer-Verlag Berlin Heidelberg

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Yuan, S., Liu, S., Zhang, Z., Huang, H., Wang, M. (2012). Automatic Metadata Extraction for Educational Resources Based on Citation Chain. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11276-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-11276-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11275-1

  • Online ISBN: 978-3-642-11276-8

  • eBook Packages: EngineeringEngineering (R0)

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