An investigation of AI in knowledge organization in Lagos State University Library, Lagos State
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Background of the study
Knowledge organization in libraries involves the systematic arrangement and classification of resources to facilitate efficient retrieval and use. AI technologies have the potential to revolutionize this process by automating classification, enhancing metadata creation, and optimizing search algorithms. At Lagos State University Library, AI-driven systems are being implemented to improve the organization of knowledge, thereby enabling users to locate resources more effectively (Balogun, 2023). By leveraging machine learning and semantic analysis, AI can dynamically categorize new acquisitions, detect relationships between diverse resources, and maintain updated classification schemes that reflect evolving academic disciplines. These technological advancements support the library’s mission of fostering academic excellence and innovation. However, the transition from traditional methods to AI-based systems presents challenges, including system integration, data standardization, and the training of library staff. This study explores how AI is transforming knowledge organization at Lagos State University Library, evaluating its impact on resource discoverability and user satisfaction, and identifying strategies to mitigate implementation challenges (Ogunleye, 2024).
Statement of the problem
Despite the promising benefits of AI in knowledge organization, Lagos State University Library faces obstacles in fully integrating these technologies. Inconsistent data standards, limited technical expertise among staff, and challenges in integrating AI with existing systems have hindered the seamless adoption of AI-based classification methods. These issues affect the overall efficiency of resource retrieval and limit the potential benefits of AI in enhancing user experiences. A critical evaluation of these challenges is essential to develop effective strategies for optimizing AI-driven knowledge organization (Balogun, 2023).
Objectives of the study
To assess the impact of AI on the organization and classification of library resources.
To identify challenges in integrating AI into knowledge organization systems.
To recommend strategies for optimizing AI applications in library knowledge management.
Research questions
How does AI improve the organization of library resources?
What challenges impede the effective integration of AI in knowledge organization?
What strategies can be employed to enhance AI-driven classification systems?
Significance of the study
This study is significant as it examines the transformative role of AI in organizing library knowledge, offering insights that can enhance resource discoverability and user satisfaction. The findings will aid library administrators and IT professionals in developing more effective classification systems that leverage AI technologies (Balogun, 2023; Ogunleye, 2024).
Scope and limitations of the study
The study is limited to the evaluation of AI applications in knowledge organization at Lagos State University Library. It focuses exclusively on classification and metadata management.
Definitions of terms
Knowledge Organization: The systematic arrangement of information and resources within a library.
Metadata: Data that provides information about other data, facilitating resource identification.
Semantic Analysis: The process of understanding and interpreting the meaning of textual data.
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