Title

Standards Alignment for Metadata Assignment

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.

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