A new approach to switching from natural language to a SPARQL query

Chaouki, Chemam; Hafed, Zarzour

المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 113-117
2021-06-03

A New Approach To Switching From Natural Language To A Sparql Query

Authors : Chaouki Chemam . Hafed Zarzour .

Abstract

With the growing amount of semantic data available on the web, there is a strong need for systems that allow common web users to access this body of knowledge. Question answering systems have received particular attention, as they allow users to express arbitrarily complex information needs in a simple and intuitive manner. The main challenge is to translate users' information needs into a form that can be assessed using standard Semantic Web query processing and inference techniques. Over the past few years, a series of approaches have been developed to address this challenge, showing significant advances towards answering natural language questions in relation to large, heterogeneous sets of structured data. However, only a few systems still deal with the fact that the structured data available today is spread across a large collection of interconnected data sets and that answers to questions can often only be provided if information from multiple sources is combined. . In addition, a lot of information is still only available in textual form, both on the web and in the form of labels and summaries in linked data sources [1]