• Ms. Soniya Sharma
• Mr. Arun Mittal

Semantic Web search is currently one of the hottest research topics in both Web search and the Semantic Web. The Semantic Web is an extension of the current web in which information is given well-defined meaning. Semantic web technologies are playing a crucial role in enhancing traditional web search, as it is working to create machine readable data. But it will not replace traditional search engine. The Semantic Web works on the existing Web which presents the meaning of information as well-defined vocabularies understood by the people. Semantic Search, at the same time, works on improving the accuracy of a search by understanding the intent of the search and providing contextually relevant results. The World Wide Web data is growing rapidly in the data repositories because of various factors such as users, systems, sensors and applications. For example, millions of transactions that occur daily, and the social media tools such as Facebook, Twitter, LinkedIn, Google+, and Tumblr, add vast of information. These large data create several challenges that called V attributes : Velocity, Volume and Variety. Clearly, the velocity means the data comes at high speed, while volume focus on large and growing files and the variety means the files come in various formats (e.g. text, sound and video). These issues enable a competition among the developers to search about a technique that help to extract the accurate data and overcome the current problems in order to reach a semantic search.The paper describes a semantic approach towards web search and semantic web search based on ontology and search engine. The ontology, created from the browsing history, was then parsed for the entered search query and the corresponding results were returned to the user providing a semantically organized and relevant output.

Semantic Web, Semantic Search, Ontology, RDF, OWL, Search Engine

"A Systematic Analysis of Semantic Web Search based on Ontology Modeling and It’s Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.131-138, June-2019, Available :http://www.jetir.org/papers/JETIR1906943.pdf

"A Systematic Analysis of Semantic Web Search based on Ontology Modeling and It’s Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp131-138, June-2019, Available at : http://www.jetir.org/papers/JETIR1906943.pdf