Generating and evaluating automatic metadata for educational resources

Elizabeth D. Liddy, Jiangping Chen, Christina M. Finneran, Anne K. Diekema, Sarah C. Harwell, Ozgur Yilmazel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Metadata provides a higher-level description of digital library resources and serves as a searchable record for browsing and accessing digital library content. However, manually assigning metadata is a resource-consuming task for which Natural Language Processing (NLP) can provide a solution. This poster coalesces the findings from research and development accomplished across two multi-year digital library metadata generation and evaluation projects and suggests how the lessons learned might benefit digital libraries with the need for high-quality, but efficient metadata assignment for their resources.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages513-514
Number of pages2
DOIs
StatePublished - Dec 1 2005
Event9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005 - Vienna, Austria
Duration: Sep 18 2005Sep 23 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3652 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005
CountryAustria
CityVienna
Period9/18/059/23/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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