Journal article
Temporal Concept Drift and Alignment: An Empirical Approach to Comparing Knowledge Organization Systems Over Time
Knowledge organization, v 49(2), pp 69-78
01 Jan 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This research explores temporal concept drift and temporal alignment in knowledge organization sys-tems (KOS). A comparative analysis is pursued using the 1910 Library of Congress Subject Headings, 2020 FAST Topical, and automatic indexing. The use case involves a sample of 90 nineteenth-century Encyclopedia Britannica entries. The entries were indexed using two approaches: 1) full-text indexing; 2) Named Entity Recognition was performed upon the entries with Stanza, Stanford???s NLP toolkit, and entities were automatically indexed with the Helping Interdisciplinary Vocabulary application (HIVE), using both 1910 LCSH and FAST Topical. The analysis focused on three goals: 1) identifying results that were exclusive to the 1910 LCSH output; 2) identifying terms in the exclusive set that have been deprecated from the contemporary LCSH, demonstrating temporal concept drift; and 3) exploring the historical significance of these deprecated terms. Results confirm that historical vocabularies can be used to generate anachronistic subject headings representing conceptual drift across time in KOS and historical resources. A methodological contribu-tion is made demonstrating how to study changes in KOS over time and improve the contextualization historical humanities resources.
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Details
- Title
- Temporal Concept Drift and Alignment: An Empirical Approach to Comparing Knowledge Organization Systems Over Time
- Creators
- Sam Grabus - Drexel Univ, Metadata Res Ctr, Philadelphia, PA 19104 USAPeter Melville Logan - Temple UniversityJane Greenberg - Drexel Univ, Metadata Res Ctr, Philadelphia, PA 19104 USA
- Publication Details
- Knowledge organization, v 49(2), pp 69-78
- Publisher
- Nomos Verlagsgesellschaft Mbh & Co Kg
- Number of pages
- 10
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000849132300001
- Scopus ID
- 2-s2.0-85149112505
- Other Identifier
- 991020531835704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Information Science & Library Science