Constructing a true LCSH tree of a science and engineering collection

• Published in: Journal of the American Society for Information Science and Technology Vol. 63; no. 12; pp. 2405 - 2418
• Main Authors: Julien, Charles-Antoine, Tirilly, Pierre, Leide, John E., Guastavino, Catherine
• Format: Journal Article
• Language: English
• Published: New York, NY Blackwell Publishing Ltd 01.12.2012; Wiley; Wiley Periodicals Inc; Association for Information Science and Technology (ASIS&T)
• Subjects: Bibliographic data bases; Bibliometrics. Scientometrics; Bibliometrics. Scientometrics. Evaluation; Browsing; Collection; Computer Science; Document and Text Processing; Electric power distribution; Exact sciences and technology; Hierarchies; Human-Computer Interaction; Humanities and Social Sciences; Indexing; Information and communication sciences; Information retrieval; Information science. Documentation; Interfaces; knowledge organization systems; Libraries; Library and information science. General aspects; Library and information sciences; Library collections; Library of Congress Subject Headings; Sciences and techniques of general use; Studies; Subject fields; Tree structures; Subject hierarchy simplification; Information visualization; Information organization; Subject hierarchy; Subject hierarchy complexity
• ISSN: 1532-2882; 2330-1635; 1532-2890; 2330-1643
• DOI: 10.1002/asi.22749

The Library of Congress Subject Headings (LCSH) is a subject structure used to index large library collections throughout the world. Browsing a collection through LCSH is difficult using current online tools in part because users cannot explore the structure using their existing experience navigating file hierarchies on their hard drives. This is due to inconsistencies in the LCSH structure, which does not adhere to the specific rules defining tree structures. This article proposes a method to adapt the LCSH structure to reflect a real‐world collection from the domain of science and engineering. This structure is transformed into a valid tree structure using an automatic process. The analysis of the resulting LCSH tree shows a large and complex structure. The analysis of the distribution of information within the LCSH tree reveals a power law distribution where the vast majority of subjects contain few information items and a few subjects contain the vast majority of the collection.