The exponential growth of web documents has resulted in traditional search engines producing results with high recall but low precision when queried by users. In the contemporary internet landscape, resources are made available via hyperlinks which may or may not meet the expectations of the user. To mitigate this issue and enhance the level of pertinence, it is imperative to examine the challenges associated with querying the semantic web and progress towards the advancement of semantic search engines. These search engines generate outcomes by prioritizing the semantic significance of the context over the structural composition of the content. This paper outlines a proposed architecture for a semantic search engine that utilizes the concept of semantics to refine web search results. The resulting output would consist of ontologically based and contextually relevant outcomes pertaining to the user s query.