This paper explores the application of Natural Language Processing (NLP) techniques in enhancing semantic search capabilities within digital libraries. The digital library landscape is vast and diverse, containing a multitude of textual resources that require efficient retrieval mechanisms to assist researchers and scholars in accessing relevant information. Traditional keyword-based search engines often fail to capture the nuances of user queries and the contextual meaning of content, leading to search results that may be irrelevant or incomplete. This study investigates how NLP can be leveraged to improve the effectiveness of semantic search, which aims to understand the intent and context of user queries to deliver more accurate and meaningful results. We examine various NLP methods, such as Named Entity Recognition (NER), Text Classification, and Relation Extraction, for their potential in extracting semantic information from digital library collections. The paper discusses the challenges faced in applying these techniques to large-scale datasets and proposes solutions to overcome them. Additionally, we present a framework for a semantic search engine that integrates NLP tools to facilitate a more comprehensive and user-centric search experience. Through case studies and performance evaluations, we demonstrate the benefits of using NLP in semantic search within digital libraries, highlighting its potential to revolutionize the way information is discovered and accessed.
Taylor, J. Natural Language Processing for Semantic Search in Digital Libraries. Transactions on Applied Soft Computing, 2023, 5, 38. https://doi.org/10.69610/j.tasc.20230416
AMA Style
Taylor J. Natural Language Processing for Semantic Search in Digital Libraries. Transactions on Applied Soft Computing; 2023, 5(1):38. https://doi.org/10.69610/j.tasc.20230416
Chicago/Turabian Style
Taylor, James 2023. "Natural Language Processing for Semantic Search in Digital Libraries" Transactions on Applied Soft Computing 5, no.1:38. https://doi.org/10.69610/j.tasc.20230416
APA style
Taylor, J. (2023). Natural Language Processing for Semantic Search in Digital Libraries. Transactions on Applied Soft Computing, 5(1), 38. https://doi.org/10.69610/j.tasc.20230416
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References
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