@inproceedings{7bef2bf00c10417baf992f6e9165a39d,
title = "Standards alignment for metadata assignment",
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.",
keywords = "Automatic metadata assignment, Educational standards, Hierarchical text classification, Machine learning, NSDL, Natural language processing",
author = "Diekema, {Anne R.} and Ozgur Yilmazel and Jennifer Bailey and Harwell, {Sarah C.} and Liddy, {Elizabeth D.}",
year = "2007",
doi = "10.1145/1255175.1255253",
language = "English (US)",
isbn = "1595936440",
series = "Proceedings of the ACM International Conference on Digital Libraries",
pages = "398--399",
booktitle = "Proceedings of the 7th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2007",
note = "7th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2007: Building and Sustaining the Digital Environment ; Conference date: 18-06-2007 Through 23-06-2007",
}