Using Automatic Metadata Extraction to Build a Structured Syllabus Repository

  • Xiaoyan Yu
  • Manas Tungare
  • Weiguo Fan
  • Manuel Pérez-Quiñones
  • Edward A. Fox
  • William Cameron
  • Lillian Cassel
Conference paper

DOI: 10.1007/978-3-540-77094-7_43

Volume 4822 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Yu X. et al. (2007) Using Automatic Metadata Extraction to Build a Structured Syllabus Repository. In: Goh D.HL., Cao T.H., Sølvberg I.T., Rasmussen E. (eds) Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers. ICADL 2007. Lecture Notes in Computer Science, vol 4822. Springer, Berlin, Heidelberg

Abstract

Syllabi are important documents created by instructors for students. Gathering syllabi that are freely available, and creating useful services on top of the collection, will yield a digital library of value for the educational community. However, gathering and building a repository of syllabi is complicated by the unstructured nature of syllabus representation and the lack of a unified vocabulary for syllabus construction. In this paper, we propose an intelligent approach to automatically annotate freely-available syllabi from the Web to benefit the educational community through supporting services such as semantic search. We discuss our detailed process for converting unstructured syllabi to structured representations through entity recognition, segmentation, and association. Our evaluation results demonstrate the effectiveness of our extractor and also suggest improvements. We hope our work will benefit not only users of our services but also people who are interested in building other genre-specific repositories.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Xiaoyan Yu
    • 1
  • Manas Tungare
    • 1
  • Weiguo Fan
    • 1
  • Manuel Pérez-Quiñones
    • 1
  • Edward A. Fox
    • 1
  • William Cameron
    • 2
  • Lillian Cassel
    • 2
  1. 1.Virginia Tech, Blacksburg VA 24061USA
  2. 2.Villanova University, Villanova PA 19085USA