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Journal of Korean Library and Information Science Society

  • P-ISSN2466-2542
  • KCI

ISSN : 2466-2542

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Vol.55 No.4

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Method for Enhancing the Quality of Large-Scale Lexical Resources Using Semantic Inference Rules: Focusing on the National Library of Korea Subject Headings

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2024, v.55 no.4, pp.245-263
https://doi.org/10.16981/kliss.55.4.202412.245
(Do-Heon Jeong
Jeong, (. (2024). Method for Enhancing the Quality of Large-Scale Lexical Resources Using Semantic Inference Rules: Focusing on the National Library of Korea Subject Headings. , 55(4), 245-263, https://doi.org/10.16981/kliss.55.4.202412.245

Abstract

The purpose of this study is to propose an efficient quality enhancement method for large-scale lexical resources using automated semantic inference techniques, based on current research trends in large lexical resources, and to suggest practical applications. To achieve this, common semantic inference rules were first defined by analyzing various relational cases among terms within lexical resources and identifying correct and erroneous patterns. Using these defined inference rules, a semantic inference engine based on a spreading algorithm was developed, enabling rapid network traversal and error detection across very large lexical resources. Through experiments on the Subject Headings of the National Library of Korea, it was confirmed that the automated methods and web-based management system proposed in this study enable effective quality enhancement of large-scale data. The study is significant in that it proposes a novel semantic inference approach for enhancing the quality of large-scale lexical resources, as well as the first attempt to analyze and organize logical error cases arising within complex term networks. Furthermore, it is meaningful in discussing methods of human-machine collaboration in the era of artificial intelligence.

keywords
Lexical Resources, Large-Scale Data, Semantic Inference, Artificial Intelligence, Subject Headings, Human Machine Collaboration
Submission Date
2024-11-23
Revised Date
Accepted Date
2024-12-08

Journal of Korean Library and Information Science Society

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