Measuring the interdisciplinary characteristics of Chinese research in library and information science based on knowledge elements

PurposeThis study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.Design/methodology/approachEight research themes were selected for experiment, with a large-sc...

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Bibliographic Details
Published in:Aslib journal of information management 2023-06, Vol.75 (3), p.589-617
Main Authors: Zeng, Jinxiang, Cao, Shujin, Chen, Yijin, Pan, Pei, Cai, Yafang
Format: Article
Language:English
Subjects:
Algorithms
Citations
Content analysis
Cooperation
Empirical analysis
Explicit knowledge
Humanities
Influence
Interdisciplinary aspects
Keywords
Knowledge representation
Libraries
Library and information science
Neural networks
Research methodology
Science
Scientific papers
Social sciences
Software
Text analysis
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Summary:PurposeThis study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.Design/methodology/approachEight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.FindingsThe empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.Originality/valueThe extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.
ISSN:2050-3806
1758-3748
DOI:10.1108/AJIM-03-2022-0130