The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…

Considering the importance of subject retrieval for scientific visibility, and the need to guide authors in self-archiving their papers in institutional repositories of university libraries, this study observed the patterns and strategies used by authors while indexing for keyword assignment. The study examined four categories of analysis:…

Discovery of digital items by scholars and the public is highly dependent upon effective metadata to ensure inclusion and prioritization in search engines. Subject descriptions based on controlled vocabulary, such as Library of Congress subject headings (LCSH), are particularly useful to enhance discovery, but they may be expensive to provide. In…

Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…

The 29th Annual Pacific Islands Association of Libraries, Archives, and Museums (PIALA) Conference was held November 21 through November 26, 2019 and the primary venue was the Robert F. Kennedy (RFK) Memorial Library, University of Guam in Mangilao, U.S. Territory of Guam. This volume includes a listing of 2018-2019 PIALA Officers and Board…