Journal article
Evaluating the Impact of the Long-S upon 18th-Century Encyclopedia Britannica Automatic Subject Metadata Generation Results
INFORMATION TECHNOLOGY AND LIBRARIES, v 39(3)
2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard < s >. The test environment includes entries from the third edition of the Encyclopedia Britannica, and the HIVE automatic subject indexing tool. A comparative study of metadata generated before and after correction of the Long-S demonstrated an average of 26.51 percent potentially relevant terms per entry omitted from results if the Long-S is not corrected. Results confirm that correcting the Long-S increases the availability of terms that can be used for creating quality metadata records. A relationship is also demonstrated between shorter entries and an increase in omitted terms when the Long-S is not corrected.
Metrics
Details
- Title
- Evaluating the Impact of the Long-S upon 18th-Century Encyclopedia Britannica Automatic Subject Metadata Generation Results
- Publication Details
- INFORMATION TECHNOLOGY AND LIBRARIES, v 39(3)
- Publisher
- AMER LIBRARY ASSOC; CHICAGO
- Grant note
- The author thanks Dr. Jane Greenberg and Dr. Peter Logan for their guidance. The author acknowledges the support of the NEH grant #HAA-261228-18.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000573877200007
- Scopus ID
- 2-s2.0-85092943433
- Other Identifier
- 991021860769004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science