@article{MAKHILLAJIT20201986799,
    title = {Arabic Ontology-Based Approach for Chest Diseases Diagnosis},
    journal = {Asian Journal of Information Technology},
    volume = {19},
    number = {8},
    pages = {142-149},
    year = {2020},
    issn = {1682-3915},
    doi = {ajit.2020.142.149},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2020.142.149},
    author = {Ali,Issam,Khalil and},
    keywords = {Knowledge representation,semantic web,ontology development,Arabic language,SPARQL,natural language processing},
    abstract = {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.}
    }