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AI for Cataloging and Metadata Creation: Perspectives and Future Opportunities from Cataloging and Metadata Professionals
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This paper explores the potential of language models such as ChatGPT to transform library cataloging. Through experiments with ChatGPT, the author demonstrates its ability to generate accurate MARC records using RDA and other standards such as the Dublin Core Metadata Element Set. These results demonstrate the potential of ChatGPT as a tool for streamlining the record creation process and improving efficiency in library settings. The use of AI-generated records, however, also raises important questions related to intellectual property rights and bias. The paper reviews recent studies on AI in libraries and concludes that further research and development of this innovative technology is necessary to ensure its responsible implementation in the field of library cataloging.
Purpose
This paper aims to provide an overview of key definitions related to ChatGPT, a public tool developed by OpenAI, and its underlying technology, Generative Pretrained Transformer (GPT).
Design/methodology/approach
This paper includes an interview with ChatGPT on its potential impact on academia and libraries. The interview discusses the benefits of ChatGPT such as improving search and discovery, reference and information services; cataloging and metadata generation; and content creation, as well as the ethical considerations that need to be taken into account, such as privacy and bias.
Findings
ChatGPT has considerable power to advance academia and librarianship in both anxiety-provoking and exciting new ways. However, it is important to consider how to use this technology responsibly and ethically, and to uncover how we, as professionals, can work alongside this technology to improve our work, rather than to abuse it or allow it to abuse us in the race to create new scholarly knowledge and educate future professionals.
Originality/value
This paper discusses the history and technology of GPT, including its generative pretrained transformer model, its ability to perform a wide range of language-based tasks and how ChatGPT uses this technology to function as a sophisticated chatbot.
Purpose
Artificial intelligence (AI) is one of the emerging technologies of this time. It has been associated with several trades like business, defense, health and education, but its role in library services will foster intelligent decisions. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research have been undertaken on this subject, but that only address a few applications. This paper highlights the pros and cons of AI in library services. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.
Design/methodology/approach
This study is based on a qualitative method using content analysis techniques. Extant literature was explored on the subject and was analyzed for this study. This study highlights the pros and cons of AI in library services and its possible solutions.
Findings
The findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.
Originality/value
This study covers the understanding of AI in library services that will help the librarian's information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI. Social implications: This study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.
The fifth edition of the classic Cataloging and Classification covers the analysis and representation of methods used in describing, organizing, and providing access to resources made available in or through libraries. Since the last edition, there have new developments in cataloging, with the introduction of the IFLA Library Reference Model (LRM) and the new, official RDA, following the 3R Project.
This text presents the essence of library cataloging and classification in terms of four basic functions: descriptive cataloging, authority work, subject access, and classification. Within this framework, content has been re-organized, all chapters have been rewritten, and new chapters have been introduced to incorporate the changes that have occurred during the interval between the four and fifth editions. In each part, the historical development and underlying principles of the retrieval mechanism at issue are treated first, because these are considered essential to an understanding of cataloging and classification. Discussion and examples of provisions in the standards and tools are then presented to illustrate the operations covered in each chapter.
Divided into seven parts—a general overview; record production and structure, encoding formats, and metadata records; RDA (original and official); subject access and controlled vocabularies; the organization of library resources; encoding & records of bibliographic and authority data; and cataloging ethics--this book includes lists of the standards and tools used in the preparation and processing of cataloging records covered, lists of RDA elements, and sample records.
Its companion website with interactive learning activities and supplementary materials located at catclassintro.org make it a true multimedia tool.
Purpose
The study aims to investigate the potential of artificial intelligence chatbots in academic libraries along with the dangers associated with the technology.
Design/methodology/approach
Literature were sourced from Google scholar and Scopus database-indexed journals to assess the potentials and drawbacks of using ChatGPT (generative pretrained transformer).
Findings
The study found that ChatGPT can aid with technical and reader services such as answering basic reference inquiries, navigating the library website and assisting with research, cataloguing, classification and collection development. However, due to the risk of inaccurate query responses, misuse, limited comprehension, input limitation and technological reliance, it should be a complementary technology rather than a replacement for human librarians.
Originality/value
To the best of the author’ knowledge, this is one of the first articles reviewing the potential of ChatGPT in academic libraries.
Knowledge Organization Systems (KOS) as networks of knowledge have the potential to inform AI operations. This paper explores natural language processing and machine learning in the context of KOS and Helping Interdisciplinary Vocabulary Engineering (HIVE) technology. The paper presents three use cases: HIVE and Historical Knowledge Networks, HIVE for Materials Science (HIVE-4-MAT), and Using HIVE to Enhance and Explore Medical Ontologies. The background section reviews AI foundations, while the use cases provide a frame of reference for discussing current progress and implications of connecting KOS to AI in digital resource collections.
The fourth edition of the late Lois Mai Chan's classic Cataloging and Classification covers the analysis and representation of methods used in describing, organizing, and providing access to resources made available in or through libraries. Since the last edition published in 2007, there have been dramatic changes in cataloging systems from the Library of Congress. The most notable being the shift from AACR2 to Resource Description and Access (RDA) as the new standard developed by the Library of Congress. With the help of the coauthor, Athena Salaba, this text is modified throughout to conform to the new standard.
Retaining the overall outline of the previous edition, this text presents the essence of library cataloging and classification in terms of three basic functions: descriptive cataloging, subject access, and classification. Within this framework, all chapters have been rewritten to incorporate the changes that have occurred during the interval between the third and fourth editions. In each part, the historical development and underlying principles of the retrieval mechanism at issue are treated first, because these are considered essential to an understanding of cataloging and classification. Discussion and examples of provisions in the standards and tools are then presented in order to illustrate the operations covered in each chapter.
Divided into five parts—a general overview; record production and structure, encoding formats, and metadata records; RDA; subject access and controlled vocabularies; and the organization of library resources—each part of the book begins with a list of the standards and tools used in the preparation and processing of that part of the cataloging record covered, followed by suggested background readings selected to help the reader gain an overview of the subject to be presented. This book is the standard text for the teaching and understanding of cataloging and classification