https://jjcit.org/paper/42
TOWARD AN ARABIC QUESTION ANSWERING SYSTEM OVER LINKED DATA
10.5455/jjcit.71-1514749838
Abdelghani Bouziane,Djelloul Bouchiha,Noureddine Doumi,Mimoun Malki
Question answering system,Natural language processing (NLP),Linked data,Arabic language,Semantic Web,Ontology,SPARQL.
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3037
907
2017-12-31
21-Mar.-2018 and 09-Apr.-2018,
2018-04-15
The increasing interest in Arabic natural language processing and semantic Web research involves an emerging
need to the development of new Question Answering Systems (QAS). These systems allow users to ask a question
in Arabic natural language and get the relevant answer. However, most existing QA systems focused on English
and Latin-based languages. Less effort has been concentrated on the Arabic language, which belongs to
"Semitic Languages". This work is an early version of a new domain-independent Arabic question answering
system over linked data, which aims to particularly help Arab users to explore the Arabic Semantic Web based
on Arabic ontology. We describe with sufficient details the different modules of our proposed system, which uses
language parser, finite state automaton and semantic Web techniques to linguistically process and answer
Arabic natural language question. Experiments have been carried out to evaluate and show efficiency of the
proposed system.