Reducing subject tree browsing complexity

• Published in: Journal of the American Society for Information Science and Technology Vol. 64; no. 11; pp. 2201 - 2223
• Main Authors: Julien, Charles-Antoine, Tirilly, Pierre, Dinneen, Jesse David, Guastavino, Catherine
• Format: Journal Article
• Language: English
• Published: New York, NY Blackwell Publishing Ltd 01.11.2013; Wiley; Wiley Periodicals Inc; Association for Information Science and Technology (ASIS&T)
• Subjects: Bibliometrics. Scientometrics; Bibliometrics. Scientometrics. Evaluation; Browsing; Collection; Complexity; Computer Science; Digital Libraries; Exact sciences and technology; headings; Human-Computer Interaction; Information and communication sciences; Information science; Information science. Documentation; Library and information science. General aspects; Library of Congress Subject Headings; Medical Subject Headings-MeSH; MeSH; On-line systems; Organization theory; Organizations; Prototypes; Sciences and techniques of general use; Sliders; Studies; Subject heading schemes; Tree structures; Trees; Visual; Visualization; Web browsers; Information visualization; Subject hierarchy; Browsing; Subject hierarchy complexity
• ISSN: 1532-2882; 2330-1635; 1532-2890; 2330-1643
• DOI: 10.1002/asi.22915

Many large digital collections are currently organized by subject; although useful, these information organization structures are large and complex and thus difficult to browse. Current online tools and visualization prototypes show small, localized subsets and do not provide the ability to explore the predominant patterns of the overall subject structure. This study describes subject tree modifications that facilitate browsing for documents by capitalizing on the highly uneven distribution of real‐world collections. The approach is demonstrated on two large collections organized by the Library of Congress Subject Headings (LCSH) and Medical Subject Headings (MeSH). Results show that the LCSH subject tree can be reduced to 49% of its initial complexity while maintaining access to 83% of the collection, and the MeSH tree can be reduced to 45% of its initial complexity while maintaining access to 97% of the collection. A simple solution to negate the loss of access is discussed. The visual impact is demonstrated by using traditional outline views and a slider control allowing searchers to change the subject structure dynamically according to their needs. This study has implications for the development of information organization theory and human–information interaction techniques for subject trees.