Author(s) | |
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Abstract |
Purpose– The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures. Findings– The evaluation shows strong correlations between the results from the new method and the results from the experts. It suggests that the similarity method achieved satisfactory results. Practical implications– Hierarchical structures that are found in subject directories, taxonomies, classification systems, and other classificatory structures play an extremely important role in information organization and information representation. Measuring the similarity between two subject hierarchical structures allows an accurate overarching understanding of the degree to which the two hierarchical structures are similar. Originality/value– Both structural similarity and subject similarity of nodes were considered in the proposed similarity method, and the extent to which the structural similarity impacts on the similarity can be adjusted. In addition, a new evaluation method for a hierarchical structure similarity was presented. |
Format | |
Identifier(s) | |
Publication Date |
2014-01-01
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Publication Title |
Journal of Documentation
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Volume |
70
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Issue |
3
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First Page |
364
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Last Page |
391
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Keywords | |
Subject | |
Rights |
https://rightsstatements.org/page/InC/1.0/
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Community | |
Permalink | https://oaks.kent.edu/slispubs/18 |
Zhang, J., & Zeng, M. (2014). A New Similarity Measure for Subject Hierarchical Structures (1–). Journal of Documentation. https://doi.org/http://dx.doi.org/10.1108/JD-12-2012-0160
Zhang, Jin, and Marcia Zeng. 2014. “A New Similarity Measure for Subject Hierarchical Structures”. Journal of Documentation. https://doi.org/http://dx.doi.org/10.1108/JD-12-2012-0160.
Zhang, Jin, and Marcia Zeng. A New Similarity Measure for Subject Hierarchical Structures. Journal of Documentation, 1 Jan. 2014, https://doi.org/http://dx.doi.org/10.1108/JD-12-2012-0160.