Thesis Abstract

Abstract
The utilization of Artificial Intelligence (AI) technologies has transformed various industries, including the field of Library and Information Science. This thesis explores the application of AI for enhancing information retrieval in digital libraries. The study aims to address the challenges faced in traditional information retrieval methods by leveraging AI techniques to improve the efficiency and effectiveness of accessing information in digital libraries. Chapter One provides an introduction to the research topic, establishing the background of the study, defining the problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also includes a detailed definition of key terms relevant to the study. Chapter Two presents a comprehensive literature review that delves into existing research, theories, and practices related to information retrieval, digital libraries, and the application of AI technologies in this context. The review encompasses ten key aspects that serve as a foundation for understanding the current landscape of the field. Chapter Three outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter includes a discussion of at least eight components essential to the research methodology. Chapter Four presents a thorough discussion of the findings obtained through the application of AI for information retrieval in digital libraries. The chapter analyzes the results, interprets the implications, and provides insights into the effectiveness of utilizing AI technologies to enhance information retrieval processes. Chapter Five serves as the conclusion and summary of the thesis, synthesizing the key findings, implications, and contributions of the study. The chapter also offers recommendations for future research directions in the realm of AI-enabled information retrieval in digital libraries. Overall, this thesis contributes to the growing body of knowledge on the integration of AI in digital libraries, offering valuable insights into how AI technologies can be harnessed to enhance information retrieval processes. The findings of this study have significant implications for academics, practitioners, and researchers in the field of Library and Information Science, paving the way for advancements in information access and retrieval through the innovative application of AI.

Thesis Overview

The project titled "Utilizing Artificial Intelligence for Enhancing Information Retrieval in Digital Libraries" aims to explore the application of artificial intelligence (AI) techniques to improve the process of information retrieval within digital libraries. With the increasing volume of digital information available, traditional methods of information retrieval may not be efficient enough to handle the vast amount of data. By incorporating AI technologies, such as machine learning algorithms and natural language processing, this research seeks to enhance the search and retrieval capabilities of digital libraries, ultimately improving access to relevant information for users. The study will begin with a comprehensive literature review to explore existing research and technologies related to AI in information retrieval and digital libraries. This review will provide a foundation for understanding the current state of the field and identify gaps where AI can be further utilized to enhance information retrieval processes. The research methodology will involve the development and implementation of AI-based models and algorithms tailored to the specific needs of digital libraries. Data collection and analysis will be conducted to evaluate the effectiveness of these AI solutions in improving search accuracy, relevance, and efficiency within digital library systems. The findings of this study are expected to contribute to the advancement of AI applications in information retrieval and provide insights into how AI technologies can be leveraged to enhance user experience and usability in digital libraries. The discussion of findings will delve into the implications of the research results, highlighting the potential benefits and challenges of integrating AI into digital library systems. In conclusion, this research project aims to demonstrate the potential of AI for enhancing information retrieval in digital libraries and provide practical recommendations for implementing AI solutions in real-world settings. By leveraging the power of AI technologies, digital libraries can offer users more personalized and efficient search experiences, ultimately improving access to knowledge and information resources in the digital age.