1. SupervisorStudent Dr. Atilla ELÇİHussam Hussein ABUAZAB Assoc. Prof.046001 Fall 2007 Ontology-based Support for Human Disease Study CMPE 583 WEB SEMANTICS: THEORY AND PRACTICE TERM PROJECT REPORT

2. This project addresses the issue of building an ontology model for illnesses symptoms documentation, to enable decision support.This project addresses the issue of building an ontology model for illnesses symptoms documentation, to enable decision support. In this project, I illustrate how ontologies can be developed for the knowledge domain of biomedical and bioengineering research. It is a post internet domain which enjoys an unusually large number of high-quality, complex, but extremely heterogeneous information resources, which furthermore are often made available through site-specific services only.In this project, I illustrate how ontologies can be developed for the knowledge domain of biomedical and bioengineering research. It is a post internet domain which enjoys an unusually large number of high-quality, complex, but extremely heterogeneous information resources, which furthermore are often made available through site-specific services only. Goal

3. and methodologies are largely inadequate because of the inherent autonomous and heterogeneous nature of the information resources which force applications to share data and respective services, often without prior knowledge of their structures functionality. Developing ontology, as a unifying resource, would be of great importance for the researcher to be able to solve this problem. Classical techniques

4. In this project, I am suggesting some Ontology with four main branches: Disease Symptoms of a disease Trigger responsible for that disease Treatments, giving an overview of all treatments possible for that particular disease as well as treatment efficiency Fig. 1: Generic Human Disease Ontology and its four main sub-ontologies: diseases, symptoms, triggers, and treatments.

5. In this term project, I will implement only the first three branches why of lack of time; but still, it is highly recommended to be implemented completely.

6. The data has been collected from the site of http://www.mayoclinic.com/h ealth/symptom- checker/DS00671, http://www.mayoclinic.com/h ealth/symptom- checker/DS00671 for experimental purpose. Data

7. Acute sinusitis disease, always accompany by Nasal congestion symptom, and all of the following symptoms: Bad breath. Bad breath. Swelling around eyes. Swelling around eyes. Swelling nose. Swelling nose. Case Study Acute sinusitis disease ==============================================

9. 1.Protégé 3.2.1, http://protege.stanford.edu; for editing my ontology, I will make use of protégé. Protégé is a free, open source and java based ontology editor. 2.RacerPro Version 1.9.0 available at http://www.sts.tu- harburg.de/~r.f.moeller/racer/; to automatically compute the classification hierarchy, and also to check the logical consistency of the ontology. Tools

10. Protégé is an ontology editor and knowledge- based editor, it provides graphical user interface (GUI) that models classes (domain concepts) and their attributes and relationships in ontology. While RacerPro stands for Renamed ABox and Concept Expression Reasoner Professional, as the reasoning system is required as part of the ontology editing system, RacerPro, will run to find out the inconsistency relation or properties that might appear as the marvelous growth of illnesses symptoms ontology. Tools continue

11. Application

12. Let us go to the application …