Automatic RDF metadata generation for resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Knowledge-based metadata extraction from PostScript files
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Revolutionizing name authority control
DL '00 Proceedings of the fifth ACM conference on Digital libraries
The open archives initiative: building a low-barrier interoperability framework
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Automatic document metadata extraction using support vector machines
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Methods for precise named entity matching in digital collections
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Metaextract: an NLP system to automatically assign metadata
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Using a web-based categorization approach to generate thematic metadata from texts
ACM Transactions on Asian Language Information Processing (TALIP)
A new generation of textual corpora: mining corpora from very large collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
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One of the criticisms library users often make of catalogs is that they rarely include information below the bibliographic level. It is generally impossible to search a catalog for the titles and subjects of particular chapters or volumes. There has been no way to add this information to catalog records without exponentially increasing the workload of catalogers. At the same time, well-structured full-text XML transcriptions of printed works are becoming increasingly available. This paper describes how existing investments in full text digitization and structural markup combined with current named-entity extraction technology can efficiently generate the detailed level of catalog data that users want, at no significant additional cost. This system is demonstrated on an existing digital collection within the Perseus Digital Library.