Call for Chapters: AI-Assisted Library Reconstruction

Editors

Senthilkumar KR, Sri Krishna Arts and Science College, Coimbatore, India

Call for Chapters

Proposals Submission Deadline: December 24, 2023
Full Chapters Due: March 17, 2024
Submission Date: March 17, 2024

Introduction

In an era dominated by technological advancements, libraries are undergoing a transformative journey propelled by artificial intelligence (AI). The concept of AI-assisted library reconstruction represents a paradigm shift in the way we curate, manage, and provide access to information. This intersection of traditional library services and cutting-edge AI technologies promises to revolutionize the very essence of libraries, making them more dynamic, accessible, and efficient. In this age of information abundance, digitization stands as a cornerstone for preserving and expanding library collections. AI, with its robust capabilities, plays a pivotal role in the digitization process. Through Optical Character Recognition (OCR) and advanced content analysis, AI facilitates the conversion of traditional printed materials into digital formats, ensuring the longevity and accessibility of invaluable literary treasures. However, the impact of AI transcends mere digitization. Imagine a library where the system not only catalogs materials but understands user preferences, learns from borrowing habits, and offers personalized recommendations. AI-driven content recommendation systems are reshaping the way users interact with library resources, fostering a more engaging and tailored experience. The reconstruction journey extends to the very core of library management. AI algorithms streamline cataloging processes, optimize search functionalities, and even predict future resource demands. Librarians, once burdened with manual tasks, now find themselves empowered by AI to focus on strategic collection development and user engagement. Yet, this marriage of AI and libraries comes with its own set of considerations. Ethical concerns, user privacy, and the preservation of cultural heritage must be paramount in the implementation of AI technologies. Striking a balance between innovation and responsible stewardship is key to harnessing the full potential of AI in library reconstruction. As we embark on this transformative journey, the fusion of traditional library values with the dynamism of AI promises not only to preserve the sanctity of knowledge repositories but also to propel libraries into a new era of accessibility, relevance, and enriched user experiences.

Objective

Objective: The primary goal of this book is to provide a comprehensive exploration of the integration of artificial intelligence (AI) in the reconstruction and revitalization of libraries. It aims to: Offer In-Depth Insights: Provide a thorough understanding of the role of AI in library reconstruction, delving into the technologies, methodologies, and applications that drive this transformative process. Showcase Best Practices: Highlight successful case studies and best practices from libraries around the world that have effectively leveraged AI for reconstruction, emphasizing lessons learned and practical insights. Address Ethical Considerations: Examine the ethical considerations associated with AI implementation in libraries, ensuring that the technological advancements align with principles of user privacy, intellectual freedom, and cultural sensitivity. Guide Implementation Strategies: Equip librarians, information professionals, and decision-makers with practical guidance on implementing AI technologies in various aspects of library services, from digitization to user engagement. Explore User-Centric Approaches: Explore how AI can be employed to enhance user experiences, making library resources more accessible, personalized, and relevant to diverse user needs. Navigate Technological Challenges: Address challenges and concerns related to the integration of AI, offering insights into overcoming technological hurdles, ensuring system reliability, and fostering sustainable solutions. Envision the Future of Libraries: Paint a vision of the future where libraries, augmented by AI, play a central role in knowledge dissemination, preservation, and community engagement. Facilitate Interdisciplinary Collaboration: Foster collaboration between librarians, technologists, policymakers, and other stakeholders, encouraging a multidisciplinary approach to library reconstruction that combines technological innovation with traditional library values. Promote Continuous Learning: Serve as a resource for professionals and academics in the library and information science field, promoting continuous learning and adaptation in the face of evolving AI technologies.

Target Audience

Librarians and Information Professionals: Librarians seeking to enhance their understanding of AI applications in library services, from digitization to user engagement. Technologists and IT Professionals: Professionals involved in implementing and managing AI technologies in library settings, including those responsible for system integration and maintenance. Educators and Researchers in Library Science: Academics and researchers in the field of library and information science, as well as educators preparing the next generation of librarians. Library Administrators and Decision-Makers: Leaders and decision-makers responsible for strategic planning, resource allocation, and policy development within libraries. Policy Makers and Government Officials: Individuals involved in shaping policies related to library services, technology adoption, and cultural heritage preservation. Students in Library and Information Science Programs: Students pursuing degrees in library and information science who want to stay informed about emerging trends and technologies in their field. AI Enthusiasts and Technophiles: Individuals with a general interest in artificial intelligence and its applications, particularly within the context of libraries and cultural institutions. Cultural Heritage Professionals: Professionals involved in the preservation of cultural heritage, including archivists, museum curators, and historians interested in the digitization and reconstruction of library collections. Tech Startups and Innovators: Entrepreneurs and innovators exploring opportunities to develop and provide AI solutions for libraries. General Readers Interested in Technology and Libraries: Readers with a broader interest in the evolving relationship between technology and cultural institutions, including libraries.

Recommended Topics

Introduction to AI in Libraries: Defining artificial intelligence and its relevance to modern libraries. Historical overview of AI adoption in libraries. Digitization Strategies: Techniques and best practices for digitizing library collections using AI. Preservation of rare and fragile materials through digitization. Content Recommendation Systems: How AI can enhance user experience through personalized content recommendations. Case studies on successful implementation of recommendation systems in libraries. Metadata Enhancement with AI: Improving metadata quality through automated tagging and categorization. The role of AI in creating rich and accurate metadata. Automatic Cataloging and Classification: AI algorithms for automating cataloging processes. Ensuring consistency and accuracy in cataloging with AI. Search Optimization with AI: Enhancing search functionalities through natural language processing. Semantic search and its applications in library services. User-Centric Approaches: How AI can contribute to understanding user behavior and preferences. Designing AI-driven interfaces for improved user engagement. Ethical Considerations in AI Implementation: Addressing privacy concerns in AI applications within libraries. Ensuring inclusivity and avoiding bias in AI algorithms. Library Management Systems Powered by AI: Streamlining library workflows with AI-driven management systems. Integration of AI tools into existing library management infrastructure. Predictive Analytics for Collection Development: Using AI to predict future trends in resource usage. Data-driven decision-making for collection development. Challenges and Solutions: Addressing challenges in implementing AI in libraries. Strategies for overcoming technological and organizational hurdles. Case Studies from Leading Libraries: Showcasing successful examples of libraries effectively utilizing AI. Lessons learned and key takeaways from real-world implementations. Interdisciplinary Collaboration: Collaborative efforts between librarians, technologists, and policymakers. Building bridges between traditional library values and technological advancements. The Future of Libraries with AI: Envisioning the evolving role of libraries in the AI era. Emerging trends and future possibilities for library services. Training and Skill Development: Developing skills for librarians to work effectively with AI technologies. Educational programs and resources for AI literacy in library professionals.

Submission Procedure

Researchers and practitioners are invited to submit on or before December 24, 2023, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by January 7, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by March 17, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI-Assisted Library Reconstruction. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2024.



Important Dates

December 24, 2023: Proposal Submission Deadline
January 7, 2024: Notification of Acceptance
March 17, 2024: Full Chapter Submission
April 28, 2024: Review Results Returned
May 26, 2024: Final Acceptance Notification
June 2, 2024: Final Chapter Submission



Inquiries

Senthilkumar KR
Sri Krishna Arts and Science College, Coimbatore, India
senthilkumarkr@skasc.ac.in



Classifications


Library and Information Science
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