NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Stapleton, Suzanne Cady; Dinsmore, Chelsea S.; Van Kleeck, David; Ma, Xiaoli – College & Research Libraries, 2021
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…
Descriptors: Indexing, Metadata, Computer Use, Electronic Publishing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Martin, Ann M. – Knowledge Quest, 2015
This article asks the question: How well versed are school librarians on issues related to labeling and rating systems? As school librarians continue to design and implement resource location schemes to assist patrons, they must recognize the difference between using labels to create interest in books or implementing labeling and rating systems…
Descriptors: School Libraries, Librarians, Librarian Attitudes, Intellectual Freedom
Leibbrandt, Richard; Yang, Dongqiang; Pfitzner, Darius; Powers, David; Mitchell, Pru; Hayman, Sarah; Eddy, Helen – International Association of School Librarianship, 2010
This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be…
Descriptors: Intelligence, Efficiency, Artificial Intelligence, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science