Article

Standards alignment for metadata assignment

Authors:

Elizabeth D. LiddyAuthors Info & Claims

JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

Pages 398 - 399

https://doi.org/10.1145/1255175.1255253

Published: 18 June 2007 Publication History

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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.

References

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Koller, D. and Sahami, M. Hierarchically classifying documents using very few words. 14th International Conference on Machine Learning, Nashville, TN, 1997.

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McREL. The McREL home page. Available: http://www.mcrel.org/topics/Standards/. Accessed 5 February 2007. Last updated: unknown.

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Ruiz, M. E. Combining machine learning and hierarchical structures for text categorization. PhD. Thesis. December 2001.

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Yilmazel, O. Empirical Selection of NLP-Driven Document Representations for Text Categorization. Doctoral Dissertation. Syracuse University, 2006. 103p.

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Zhou ZOstrow K(2022)Transformer-Based Automated Content-Standards Alignment: A Pilot StudyHCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games10.1007/978-3-031-22131-6_39(525-542)Online publication date: 25-Nov-2022
https://doi.org/10.1007/978-3-031-22131-6_39
Reitsma RMarshall BChart T(2012)Can intermediary-based science standards crosswalking work? Some evidence from mining the standard alignment tool (SAT)Journal of the American Society for Information Science and Technology10.1002/asi.2271263:9(1843-1858)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1002/asi.22712
Reitsma RDiekema A(2010)Network Visualization of Human and Machine-Based Educational Standard AssignmentProceedings of the 2010 14th International Conference Information Visualisation10.1109/IV.2010.14(29-34)Online publication date: 26-Jul-2010
https://dl.acm.org/doi/10.1109/IV.2010.14
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Standards alignment for metadata assignment

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Published In

JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

June 2007

534 pages

ISBN:9781595936448

DOI:10.1145/1255175

General Chair:
Edie Rasmussen
University of British Columbia, Canada
,
Program Chairs:
Ray R. Larson
University of California, Berkeley
,
Elaine Toms
Dalhousie University, Canada
,
Shigeo Sugimoto
University of Tsukuba, Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 18 June 2007

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JCDL07: Joint Conference on Digital Libraries

June 18 - 23, 2007

BC, Vancouver, Canada

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Zhou ZOstrow K(2022)Transformer-Based Automated Content-Standards Alignment: A Pilot StudyHCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games10.1007/978-3-031-22131-6_39(525-542)Online publication date: 25-Nov-2022
https://doi.org/10.1007/978-3-031-22131-6_39
Reitsma RMarshall BChart T(2012)Can intermediary-based science standards crosswalking work? Some evidence from mining the standard alignment tool (SAT)Journal of the American Society for Information Science and Technology10.1002/asi.2271263:9(1843-1858)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1002/asi.22712
Reitsma RDiekema A(2010)Network Visualization of Human and Machine-Based Educational Standard AssignmentProceedings of the 2010 14th International Conference Information Visualisation10.1109/IV.2010.14(29-34)Online publication date: 26-Jul-2010
https://dl.acm.org/doi/10.1109/IV.2010.14
Reitsma RDiekema A(2010)Comparison of human and machine-based educational standard assignment networksInternational Journal on Digital Libraries10.1007/s00799-011-0074-811:3(209-223)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1007/s00799-011-0074-8

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Experimenting with the automatic assignment of educational standards to digital library content

Comparing CSTA K-12 computer science standards with Austrian curricula

Standards or semantics for curriculum search?

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