Evaluating the Impact of the Long-S upon 18th-Century Encyclopedia Britannica Automatic Subject Metadata Generation Results

Autor:	Sam Grabus
Rok vydání:	2020
Předmět:	Metadata Information retrieval Character (computing) Computer science Subject indexing Encyclopedia Subject (documents) Library and Information Sciences Information Systems
Zdroj:	Information Technology and Libraries; Vol 39 No 3 (2020)
ISSN:	2163-5226 0730-9295
DOI:	10.6017/ital.v39i3.12235
Popis:	This research compares automatic subject metadata generation when the pre-1800s Long-S character is corrected to a standard . 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e9daea45726046ac6b394d2bbd0784 https://doi.org/10.6017/ital.v39i3.12235 Zobrazit plný text záznamu