Chapter

Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers

Volume 4822 of the series Lecture Notes in Computer Science pp 337-346

Using Automatic Metadata Extraction to Build a Structured Syllabus Repository

  • Xiaoyan YuAffiliated withVirginia Tech, Blacksburg VA 24061
  • , Manas TungareAffiliated withVirginia Tech, Blacksburg VA 24061
  • , Weiguo FanAffiliated withVirginia Tech, Blacksburg VA 24061
  • , Manuel Pérez-QuiñonesAffiliated withVirginia Tech, Blacksburg VA 24061
  • , Edward A. FoxAffiliated withVirginia Tech, Blacksburg VA 24061
  • , William CameronAffiliated withVillanova University, Villanova PA 19085
  • , Lillian CasselAffiliated withVillanova University, Villanova PA 19085

* Final gross prices may vary according to local VAT.

Get Access

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.