A Comparative Study of NLP based Semantic Web Standard model using SPARQL database

The work offers evidence of a philosophical idea that many sectors will draw considerable interest. A remote natural language interface (NLI) is the term for the issue of knowledge bases (KBs). The framework uses software from CoreNLP for natural language technology and allows KBs to use the SPARQL query language. Natural Language Processing (NLP) uses the semantics of a natural language query to interpret and produce related information. The query can be asked about KBs containing linked information with properly defined relationships. The related data fits the RDF model in terms of semantic threefold: subject-predicate-objet relationships. The RDF model. The data are connected to the RDF model. Any KB can be understood semantically with our NLI. AI will learn how to grasp the semantics of the RDF data stored in the KB by having the correct training data. Similar information derives from KB questions thanks to its capacity to understand RDF data. Questions can be translated into SPARQL and asked by relational expertise on the KB.