Abstract
This paper is the extension of the work which explores the overall working of the proposed semantic information retrieval (IR) system and the query prototype technique used for matching the user-entered query with the prototypes defined in the system. The objective of the proposed design is to improve the performance of the results provided by keyword-based retrieval systems using semantic approach. This paper explores the concept of query-similarity, meta-processor, and keyword manager which are the promising paradigm of the proposed design for matching the query, identifying the service, providing the meta-information with reference to the results retrieved for the user-entered query and thereby providing the direct, precise, and relevant information along with title, time, and brief information of the resulting URLs.
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Laddha, S.S., Jawandhiya, P.M. (2019). Novel Concept of Query-Similarity and Meta-Processor for Semantic Search. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_9
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DOI: https://doi.org/10.1007/978-981-13-0344-9_9
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