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Exploring the Use of Artificial Intelligence in Enhancing Information Retrieval Systems in Libraries

 

Table Of Contents


Chapter 1

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2

: Literature Review 2.1 Overview of Information Retrieval Systems
2.2 Introduction to Artificial Intelligence
2.3 Applications of AI in Libraries
2.4 Challenges in Information Retrieval Systems
2.5 Previous Studies on AI in Libraries
2.6 Impact of AI on Library Services
2.7 Future Trends in Library Information Science
2.8 AI Algorithms for Information Retrieval
2.9 Evaluation of AI Systems in Libraries
2.10 Summary of Literature Review

Chapter 3

: Research Methodology 3.1 Research Design
3.2 Sampling Techniques
3.3 Data Collection Methods
3.4 Data Analysis Procedures
3.5 Ethical Considerations
3.6 Research Instruments
3.7 Data Validity and Reliability
3.8 Limitations of the Methodology

Chapter 4

: Discussion of Findings 4.1 Overview of Research Findings
4.2 Analysis of Data
4.3 Comparison with Literature Review
4.4 Interpretation of Results
4.5 Implications of Findings
4.6 Recommendations for Practice
4.7 Suggestions for Future Research

Chapter 5

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Recommendations
5.6 Reflection on Research Process

Thesis Abstract

Abstract
The advancement of technology has significantly impacted the field of Library and Information Science, particularly in the area of information retrieval systems. This thesis explores the application of Artificial Intelligence (AI) in enhancing information retrieval systems in libraries. The primary objective of this study is to investigate how AI technologies can be leveraged to improve the efficiency, accuracy, and user experience of information retrieval processes within library settings. Chapter 1 provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 comprises a comprehensive literature review that examines existing research and developments related to AI in information retrieval systems in libraries. The literature review covers ten critical aspects, including the evolution of AI in libraries, the impact of AI on information retrieval, and current trends and challenges. Chapter 3 outlines the research methodology employed in this study, detailing the research design, data collection methods, data analysis techniques, and ethical considerations. The methodology section includes eight key components, such as the selection of research participants, data gathering procedures, and the evaluation of AI technologies. In Chapter 4, the findings of the study are discussed in detail, highlighting the implementation of AI technologies in information retrieval systems in libraries. The chapter examines the effectiveness of AI algorithms, user satisfaction levels, and the overall impact on information access and retrieval processes. The discussion of findings also addresses potential limitations and areas for future research. Finally, Chapter 5 presents the conclusion and summary of the thesis, summarizing the key findings, implications, and contributions of the study. The conclusion reflects on the significance of integrating AI into library information retrieval systems and offers recommendations for practitioners and researchers in the field. Overall, this thesis contributes to the growing body of knowledge on the role of AI in enhancing information retrieval systems in libraries, paving the way for future advancements in this area. Keywords Artificial Intelligence, Information Retrieval Systems, Libraries, Technology, Research Methodology, Literature Review.

Thesis Overview

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