A Simple Scheme for Book Classification Using Wikipedia, by Andromeda Yelton

Editor’s note: This article is the winner of the LITA/Ex Libris Student Writing Award, 2010.

Because the rate at which documents are being generated outstrips librarians’ ability to catalog them, an accurate, automated scheme of subject classification is desirable. However, simplistic word-counting schemes miss many important concepts; librarians must enrich algorithms with background knowledge to escape basic problems such as polysemy and synonymy. I have developed a script that uses Wikipedia as context for analyzing the subjects of nonfiction books. Though a simple method built quickly from freely available parts, it is partially successful, suggesting the promise of such an approach for future research.

Classification of Library Resources by Subject on the Library Website, by Mathew J. Miles and Scott J. Bergstrom

Abstract:
The number of labels used to organize resources by subject varies greatly among library websites. Some librarians choose very short lists of labels while others choose much longer lists. We conducted a study with 120 students and staff to try to answer the following question: What is the effect of the number of labels in a list on response time to research questions? What we found is that response time increases gradually as the number of the items in the list grow until the list size reaches approximately fifty items. At that point, response time increases significantly. No association between response time and relevance was found.