Semantic Search Engine

Senthil Jayavel, Margret Anouncia, Abhinav Kapoor


The aim of this paper is to develop a â?? Semantic Search Engineâ?? which is basically used to search content by using an understanding of the userâ??s intent and also the contextual meaning of the search query. Search results are made more relevant and accurate as compared to usual search engines by further involving factors such as query generalization and specialization and concept matching. It is an artificially trained search engine to make intelligent inferences and associations between various important properties of the response object.

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International Journal of Recent Contributions from Engineering, Science & IT (iJES) – eISSN: 2197-8581
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