Conference proceeding
Computational Curation and the Application of Large-Scale Vocabularies
2021 IEEE International Conference on Big Data (Big Data), pp 2220-2223
15 Dec 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Paper presents an exploratory case study comparing stemming and lemmatization results for the automatic application of large-scale controlled vocabularies processed against archival encyclopedia entries. The results report relative recall and precision evaluations across both results. Research shows that while stemming has a higher relative recall, lemmatization results in a higher relevance score and eliminates the over-stemming challenges. Results provide insight into improving automatic curation workflows for archival resources.
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Details
- Title
- Computational Curation and the Application of Large-Scale Vocabularies
- Creators
- Sam Grabus - Drexel UniversityJane Greenberg - Drexel University
- Publication Details
- 2021 IEEE International Conference on Big Data (Big Data), pp 2220-2223
- Conference
- 2021 IEEE International Conference on Big Data (Big Data)
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000800559502042
- Scopus ID
- 2-s2.0-85125338987
- Other Identifier
- 991019169633304721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods