An Insight into Role of Wordnet and Language Network for effective IR from Hindi Text Documents

This paper investigates the limitations of traditional Information Retrieval (IR) models and how the semantic based approaches overcomes these limitations. Further the paper analyzes a range of aspects of language network representation of text corpus and how different network properties can lead to improve the results for different applications of IR. The paper analyzes Hindi Wordnet to exploit its capabilities and applicability as knowledge source and then its limitation. The paper discusses various research issues yet to be explored in area of IR of Hindi text documents. This paper suggests that how application of fuzzy logic in semantics can improve the performance of IR outcomes. Our entire analysis is in relevance to Hindi language corpus. CCS CONCEPTS: • Analysis of Traditional IR models →Construction of Language Network using Hindi Wordnet as Background Knowledge → Exploring Graphical Properties of Language Network for different Applications of IR →Applying Fuzzy Logic on Semantics of Hindi Wordnet