Going digital: a look at assumptions underlying digital libraries
Communications of the ACM
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Subject Analysis on Online Catalogs
Subject Analysis on Online Catalogs
Automatic metadata generation & evaluation
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting library of congress classifications from library of congress subject headings
Journal of the American Society for Information Science and Technology
Experimenting with the automatic assignment of educational standards to digital library content
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Developing practical automatic metadata assignment and evaluation tools for internet resources
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Standards alignment for metadata assignment
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
A user-centered functional metadata evaluation of moving image collections
Journal of the American Society for Information Science and Technology
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
Finding Questions to Your Answers
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
World vs. method: educational standard formulation impacts document retrieval
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Journal of the American Society for Information Science and Technology
Characterizing and Predicting the Multifaceted Nature of Quality in Educational Web Resources
ACM Transactions on Interactive Intelligent Systems (TiiS)
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Educational standards are a central focus of the current educational system in the United States, underpinning educational practice, curriculum design, teacher professional development, and high-stakes testing and assessment. Digital library users have requested that this information be accessible in association with digital learning resources to support teaching and learning as well as accountability requirements. Providing this information is complex because of the variability and number of standards documents in use at the national, state, and local level. This article describes a cataloging tool that aids catalogers in the assignment of standards metadata to digital library resources, using natural language processing techniques. The research explores whether the standards suggestor service would suggest the same standards as a human, whether relevant standards are ranked appropriately in the result set, and whether the relevance of the suggested assignments improve when, in addition to resource content, metadata is included in the query to the cataloging tool. The article also discusses how this service might streamline the cataloging workflow. © 2011 Wiley Periodicals, Inc.