Contemporary semantic search using Natural Language processing

In advanced search engines queries are being expressed in natural language as it seems to be the next step for developing future systems. Hence, users can express what they are searching for in a sentence form. The Semantic Web framework is our chosen field. This approach is to build a complete and meaningful Web Search using a Natural Language system. The process is complete when it covers pre-processing, Semantic analysis, semantic interpretation, and the way of executing a SPARQL query in order to obtain the results. The domain deals with the existing portal of accommodation. A corpus of different queries is being used from the facebook campaign. Furthermore, the Natural Language Understanding (NLU) module is evaluated with respect to another domain (public transportation) and a language (English). The performance of Semantic web enhances a decently sized knowledge base and also others.