Standards Alignment for Metadata Assignment

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

Article comments

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

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.