Standards Alignment for Metadata Assignment
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.
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.
Comments
Originally published by Association for Computing Machinery. Publisher's PDF available through remote link.