Empowering Library system with Artificial Intelligence
1. EMPOWERING LIBRARY SYSTEM WITH
AI: ARTIFICIAL INTELLIGENCE FOR
LIBRARY SERVICES
Presentation By
Chandru K Kamble Jacob Isaac A
Librarian Chief Librarian
SDM Trust's SDM Trust's
Danigond College of pharmacy Terdal-587315 Ayurvedic Medical College Terdal-587315
Dist- Bagalkot Dist- Bagalkot
2. INTRODUCTION
Artificial Intelligence (AI) is new in computer trends and is also used in
library applications. It entails teaching computers to perform tasks
considered intelligent if performed by humans. The ultimate objective
of artificial intelligence in libraries is to create computer systems or
computers that are capable of thinking, acting, and even surpassing
human cognition; this has clear implications for librarianship. Among
these are virtual reality for immersive learning, book reading and shelf
reading robots, and expert systems for reference services. Despite the
belief that doing so will drive librarians away from their consumers,
artificial intelligence is likely to assist libraries in achieving more rather
than replacing them. It will improve the way they provide services.
Artificial intelligence will have a significant positive impact on library
operations and services. It will also enhance and increase the
importance of libraries in a rapidly evolving digital society.
3. Definition of AI
Artificial intelligence is the design and development of computers to do
activities that need human intellect, such as speech recognition, decision-
making, goal-setting, language conversion, communication, and
recognition of mental states. (Wright, Palepu, and Irizarry-Nones, 2017).
4. ARTIFICIAL INTELLIGENCE AND RANGANATHAN’S PRINCIPLE
OF LIBRARIANSHIP
1. Books are for use
All procedures and activities encourage the utilization of the library's information
resources. Artificial intelligence technologies facilitate simpler access to and utilization of
books and other information materials for users. Now that most books are available
digitally, people can use them more than ever before because of their increased
accessibility.
5. 2. Every reader his/her book
Regardless of the kind, libraries provide services to many people. As a result, the library
purchases information resources to fulfill a wide range of requirements. Every person
possesses a specific book or information resource that fulfills their information needs at that
given moment. Library users must obtain the book. This is made feasible by intelligent
systems like the recommender system. It can suggest resources for the collection
development librarian to obtain from the library as well as the best information that satisfies
the user's information demands.
6. 3. Every book its reader
Every book has a specific readership. It is improper to utilize or leave books or other
information resources on the shelf. They need to have a designated spot in the library,
regardless of how few people decide to use them. Artificial Intelligence serves as a
mediator between users and books, enabling the book to reach its audience as well as the
users of the book.
7. 4. Do not waste the time of a user
This is the ultimate objective that the use of AI in libraries aims to accomplish. Users get more
agitated and busy. An intelligent system may rapidly ascertain the requirements of a library
user and offer the user with the answers to their questions. Additionally, the quickest path from
the user's current location to a library information resource location can be found thanks to an
intelligent algorithm. This clever technology can determine the locations of both users and
books and provide instructions to link them.
8. 5. Library is a growing organism
Libraries have changed during the past ten years. This is because a library is a dynamic
establishment that should never adopt a static viewpoint. Both the theory and practice of
librarianship have grown in some respects. AI is being used in libraries and information centres
to improve services for library users while also fostering growth.
9. ARTIFICIAL INTELLIGENCE USED IN
LIBRARY PROCESSES
AI for Cataloguing and Classification
Artificial Intelligence in Classification and Cataloguing Modern libraries' cataloguing and
categorization systems have undergone a considerable transformation thanks to artificial
intelligence (AI) technology, which has improved user experience, accuracy, and efficiency.
To expedite these procedures, recent developments in artificial intelligence (AI) have brought
advanced tools that make use of machine learning, natural language processing (NLP), and
deep learning. For example, the classification of library resources is now automated using
machine learning techniques. These algorithms are capable of accurately classifying resources
by analyzing information, text, and images. Machine learning models can continuously
increase their categorization accuracy because they can learn from enormous volumes of
data.
10. AI for Circulation (OPAC)
1. Better Search and Discovery: AI-driven search algorithms improve information retrieval
systems, making it possible for users to locate pertinent resources more rapidly and precisely.
2. Effective Metadata Management: By automating the creation and administration of
metadata for library resources, artificial intelligence (AI) technologies lessen the labour of
librarians while guaranteeing cataloging accuracy and consistency. This makes library
operations more efficient and makes it easier for users to find resources.
3. 24/7 Virtual Assistance: Chatbots and virtual assistants driven by AI offer library services round-
the-clock assistance.
4. Data-driven decision-making: AI gives libraries the ability to examine vast amounts of data,
such as usage patterns and user reviews, to learn more about the preferences and behavior of
its patrons.
11. AI for Reference Services
Intelligent systems are developed to refer library patrons to information resources likely to
answer their reference queries within the library system. More work has been done on
systems for reference services than on any other service or section in the library to enable
users to obtain information resources and have their reference queries answered in real-
time through developed digital reference resources and services in libraries (Chemulwo
and Sirorei, 2020).
12. AI for Collection Development
AI tools can be utilized in selecting vendors or book dealers for library
materials. An intelligent system to identify a vendor or bookseller can be
designed based on previously successful transactions in supplying
publications of a specific kind. Such tools would be of particular
importance in the procurement of information materials that are less
routine, such as conference proceedings, publications in foreign languages
or other countries, and certain technical reports, among others.
13. AI for Indexing
Indexing of library resources, especially periodicals, is another area where
AI tools are being designed. The basis for document retrieval is indexing.
The purpose of indexing is to enhance precision (ensuring that the fraction
of the retrieved material is appropriate); and recall (the percentage of
appropriate materials retrieved).
14. DIFFICULTIES IN USING ARTIFICIAL
INTELLIGENCE IN LIBRARIES
Financial Uncertainty
Openness to Change
Technical Knowhow and Slow Learning Curves among Library Staff
Users’ Privacy
Linguistic Capabilities
Understanding of Users’ Emotions
15. CONCLUSION
Applications of artificial intelligence in libraries are a veritable tool to attain this goal of re-
examining processes and innovating services if libraries are to prosper in the new information
economy. Artificial intelligence systems for technical services, resource management, circulation,
reference, and information retrieval/dissemination will be of significant help to libraries. Artificial
intelligence will significantly improve library operations and service delivery, despite rumours that
it will make librarians obsolete. It will also increase libraries' relevance in a constantly evolving
digital world. Furthermore, similar to many other emerging technologies, artificial intelligence is
also seen as a link between librarians and the human element in libraries. As such, its eventual
acceptance and integration into library services will undoubtedly highlight the great promise
artificial intelligence holds for the field of librarianship. Artificial intelligence won't replace the
human element in libraries or weaken the bonds that libraries have with their users anytime soon.
16. REFERENCES:
Afolayan, J. O., Ogundokun, R. O., Afolabi, A. G., & Adegun, A. A. (2020). Artificial intelligence, cloud
librarianship, and entrepreneurship initiatives for Inclusiveness. In Managing and Adapting Library
Information Services for Future Users. IGI Global. doi:10.4018/978-1-5225-9034-7.ch003.
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2020). Artificial intelligence tools and perspectives of university librarians:
An overview. Business Information Review, 37(3), 1–9. doi:10.1177/0266382120952016.
Asemi, A., & Asemi, A. (2018). Artificial Intelligence (AI) application in Library Systems in Iran: A taxonomy
study. Library Philosophy and Practice (e-journal). 1840. https://digitalcommons.unl.edu/ libphilprac/1840
Chemulwo, M. J., & Sirorei, E. C. (2020). Managing and adapting library information services for future users:
Applying AI in libraries. In Managing and Adapting Library Information Services for Future Users. IGI Global.
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library: Thought leaders’ views on the likely impact
of artificial intelligence on academic libraries. Library Hi Tech, 37(3), 418–435. doi:10.1108/ LHT-08-2018-0105.
Gujral, G., Shivarama, J. & Choukimath, P. A. (2019) Perceptions and Prospects of Artificial Intelligence
Technologies for Academic Libraries: An Overview of Global Trends. 12th International CALIBER-2019.