Query Processing for the Semantic Web: Towards the Conversion of Natural Language Query to SPARQL

Abstract

Human-Computer interaction is the most cherished dream of computer scientists from the development of the digital computer itself. For accurate and efficient communication, a computer must understand natural language and it must respond naturally. Natural Language Processing (NLP) deals with the problem related to Human-Computer interaction. Information Retrieval from a data repository with a natural language query is an example of NLP systems. A query expressed in ordinary spoken language is a natural language query which is in a form severe for the machine to process. Ontology based Information Retrieval system improves knowledge sharing and relevance of retrieved information but SPARQL is the specific query language used for such systems which prevents layman from formulating their own queries. In this paper, a Query processing system is considered which can be used in Ontology-based IR So that the query from the user expressed in natural language can be converted into SPARQL to work with the designed ontology.