Standards Alignment for Metadata Assignment

Authors

Anne R. Diekama, Utah State UniversityFollow
O. Yilmazel
J. Bailey
S. C. Harwell
E. D. Liddy

Document Type

Conference Paper

Journal/Book Title/Conference

Joint Conference of Digital Libraries (JCDL)

Publisher

Association for Computing Machinery

Publication Date

2007

First Page

398

Last Page

399

Abstract

The research in this paper describes a Machine Learning technique called hierarchical text categorization which is used to solve the problem of finding equivalents from among different state and national education standards. The approach is based on a set of manually aligned standards and utilizes the hierarchical structure present in the standards to achieve a more accurate result. Details of this approach and its evaluation are presented.

Comments

Originally published by Association for Computing Machinery. Publisher's PDF available through remote link.

Recommended Citation

Diekema, A. R., Yilmazel, O., Bailey, J., Harwell, S. C. and Liddy E. D. Standards Alignment for Metadata Assignment. In: Proceedings of the Joint Conference of Digital Libraries (JCDL 2007). Vancouver, British Columbia, June 18-23, 2007.