Semantic Information Retrieval Using Knowledge Representation for Tamil Lyrics

Abstract

This research investigates capturing temporal evolution and dialectal newlinevariations in Tamil lyrics through dynamic knowledge graphs and time-aware newlineembedding. By leveraging these advanced techniques we can better understand the newlinelinguistic richness and cultural significance of Tamil lyrics over time, enhancing the newlineaccessibility and relevance of lyrical content within Tamil culture. newlineDynamic knowledge graphs represent semantic relationships between newlinewords and phrases, adapting over time to reflect shifts in usage and meaning. Timeaware newlineembedding provides temporal context for lyrics allowing for a more accurate newlineanalysis of how meanings change across different periods. newlineOur research employs advanced methodologies in semantic indexing, newlineknowledge representation, semantic query processing, and the development of an newlineefficient lyrics retrieval system. These approaches involve tokenization, POS tagging, newlinestemming, lemmatization, stopword removal, and transliteration, ensuring a wellstructured newlinedataset for precise analysis newline