Formalization of natural language queries

Most existing systems of information retrieval are limited to a search by keywords, based on the syntactic content of documents. The absence of semantics conducts to a very complex formulation of queries which generates the problem of access to relevant information on the web. In this paper, we implement a conversion tool which takes queries expressed in natural language and an ontology as input and returns the appropriate formal queries. The generated queries are then sent to the reasoner for querying the knowledge bases.