An Arabic mobile educational system

Digital devices and computer software can assist children in improving their learning capabilities and comprehension skills. However most of these items are built without taking into consideration the effective needs and background of Arab children. We propose in this paper an Arabic-based mobile educational system that processes natural questions, extract pertinent answers from animal domain ontology, and illustrate pictures automatically. It combines the transformation of natural language questions into SPARQL queries and finds solutions for multi-phased based questions. In order to process questions, different phases are carried out which include extracting concepts from the Arabic questions, determining the pattern, extraction of word-to-word relationships, extracting knowledge from the ontology, and finding answers through direct or indirect linked data. The aim of our proposed system is to generate substantial pedagogic answers, for asked questions in the natural language, in a specific domain.