Abstract
Liver viruses are the most dangerous cause for liver problems, because they last for a long time and lead to serious complications like liver inflammation. In our previous research, a Viral Hepatitis Ontology was developed using Ontology of Biomedical Reality framework for the A, B, C and D viruses, which are the most widely spread among males and females. This Ontology is represented in the Web Ontology Language (OWL) that has become recently the standard language for the semantic web. The Viral Hepatitis Ontology, in its current format, can be accessed by the computer science specialists only. In this paper, we present a Web Service based approach to share the Viral Hepatitis Ontology among physicians, students of medicine, and intelligent systems. In addition, the proposed approach enables physicians, and students of medicine to differentially diagnose the Viral Hepatitis diseases. To show how the approach is very beneficial for physicians and students of medicine, we developed a system prototype to present different usage case studies.
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AL-Marzoqi, G., Moawad, I.F., Salem, AB.M. (2012). Web Service Based Approach for Viral Hepatitis Ontology Sharing and Diagnosing. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_26
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DOI: https://doi.org/10.1007/978-3-642-35326-0_26
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