TY  - JOUR
T1  - Arabic Ontology-Based Approach for Chest Diseases Diagnosis
AU - Alnader, Ali AU - Salman, Issam AU - Ajami, Khalil AU - Alzein, Ammar 
JO  - Asian Journal of Information Technology
VL  - 19
IS  - 8
SP  - 142
EP  - 149
PY  - 2020
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2020.142.149
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2020.142.149
KW  - Knowledge representation
KW  -semantic web
KW  -ontology development
KW  -Arabic language
KW  -SPARQL
KW  -natural language processing
AB  - Chest diseases are a subgroup of respiratory
system diseases. The symptoms of these diseases are
similar and this makes the diagnosis process difficult.
Therefore, to ease the diagnosis process we gathered
Information about fourteen diseases which attack the
chest with their symptoms and investigations about them.
In this study, we present an Arabic ontology-based
approach for chest diseases diagnosis. We focus on
ontology building process. This ontology can be used to
help physicians and other users, determine the chest
disease that a patient is suffering from and what are the
investigations that should be applied. While experts can
easily gather information from this data, lay users lack the
expertise needed to deal with it. Most of the efforts to
solve this problem focus on the English language. So also,
in this study, we present a new approach based on natural
language processing to translate Arabic language query to
SPARQL query.
ER  -