
This work examines the close relationship between the organization of information and Information Retrieval Systems (IRS) in the digital environment. It explains how tools such as classification, indexing, metadata, and controlled vocabularies form the structural foundation of effective retrieval systems. The study highlights how proper information organization improves precision, recall, search efficiency, and user satisfaction while supporting advanced retrieval techniques such as semantic search. It also discusses key challenges including language ambiguity, standardization issues, and rapid growth of digital data. The work emphasizes that efficient retrieval is impossible without systematic information organization.
Information Organization, Classification Systems, IRS, Akash Hazra, Search Efficiency, library, Standardization Issues, Digital Data Growth, organization, Indexing Techniques, system, Precision and Recall, Controlled Vocabularies, Information Retrieval Systems (IRS), information, Library Science/classification, Metadata/standards, User Satisfaction in IRS, Knowledge Organization Systems (KOS), library science, Metadata Standards, retrieval, Language Ambiguity, Hazra, Akash, Semantic Search
Information Organization, Classification Systems, IRS, Akash Hazra, Search Efficiency, library, Standardization Issues, Digital Data Growth, organization, Indexing Techniques, system, Precision and Recall, Controlled Vocabularies, Information Retrieval Systems (IRS), information, Library Science/classification, Metadata/standards, User Satisfaction in IRS, Knowledge Organization Systems (KOS), library science, Metadata Standards, retrieval, Language Ambiguity, Hazra, Akash, Semantic Search
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