Main Article Content
With rapidly increasing information and data available online, end users are not satisfied with search results of even renowned search engines. Most of the time search engines results in irrelevant pages to the users. Semantic search aims to improve search results by retrieving data on the basis of keywords and its synonyms as well. It focuses on intent and context of query. Semantic search is also used to get variety in results. This research work discuss and compare architecture of various semantic search engines based on how much semantics they include in their results. We proposes a new semantic search algorithm based on ontology matching within the semantic web. Prototype for proposed algorithm and its results are discussed.
Copyright (c) 2019 Technical Journal
The author transfers all copyright ownership of the manuscript entitled (title of article) to the Technical Journal in the event the work is published.