A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Purpose of this paper is to resolve the problem of traditional search engines which hardly provide the essential content relevant to the user query. Current techniques for processing of query are mostly based on keywords. Thus, they have limited capabilities to understand the concepts and meaning involved in the user query. The solution for this is a semantic information search. A semantic search overcomes the drawbacks of mismatch associated with traditional keyword-based search. We create adoi:10.29042/2018-3927-3931 fatcat:lksyb3x7zrcdppjpcaakjqs7um