1. CHEAR (Child Health Environmental Assessment Resource) Ontology
Team Members: Yue Liu (Robin) Zhicheng Liang (Jason) Anirudh Prabhu John Sheehan

2. CHEAR Ontology Resource for new study questionnaire
Compare different study questionnaire
Body Measure & Calculation
Asthma Symptom Monitoring
Study Questionnaire Encoding
Subjects and Topics
Combing the 2 - enrich for new study builders as resources
Compare the 2 different study questionaire
Next step:

3. Recent Ontology Changes
Restrictions added.
Fixed mistake according to feedback from the homework.
Added new classes to correct problems in the hierarchy.
Next steps:
Add timelines to the questions
Add more granularity to the questions
Integration with Survey Ontology (e.g. Response concept)
Add new class survey data for date id profile
Study hasResource min 1 DataCollectionInstrument
Study ≡ ⩾1 hasResource.DataCollectionInstrument
DataCollectionInstrument hasContent min 1 Question
DataCollectionInstrument ≡ ⩾1 hasContent.Question
StudyPerson conducts min 1 Study
StudyPerson ≡ ⩾1 conducts.Study
Patient hasProfile exactly 1 PatientProfile
Patient ≡ =1 hasProfile.PatientProfile

4. Example Question #1
What Body measures are relevant to the diagnosis of asthma?
Answer: Height, Weight, Waist Circumference, Bioimpedance and Head Circumference are the most relevant body measures that have a positive influence on the diagnosis of asthma.

5. Using Semantics to Answer Question #1
The Ontology contains a detailed description of how the body measure are related to each other and what can be derived from each body measure.
Every concept that has a positive relation to a specific disorder like asthma will be mapped together.
The initial data retrieved would be the concepts that positively influence asthma diagnosis (based on the property hasPositiveRelation in the Ontology). These include Percent Body Fat, BMI Percentile, Waist to Height Ratio and Waist Circumference.
We have a restriction, Body Measure is measuredBy only Instrument, we can find out which are the body measures that have been used to derive the calculations mentioned above(Based on the calculatedFrom property).
Cardinality restrictions such as, “Study hasResource min 1 DataCollectionInstrument” and “DataCollectionInstrument hasContent min 1 Question”, to ensure we do not have an empty set for the study.

6. Example Question #2
What specific topics does the study questionnaire, “Measures of Obesity Associated with Asthma Diagnosis in Ethnic Minority Children” address?
Answer : The study questionnaire addresses subjects like Wheezing, Smoking, Income and Cough. How the Ontology is used : We have a restriction that every Question must have a subject. We also have a property that, for example, a Data Collection Instrument(questionnaire) must have at least one question. Based on these two properties, we can choose the subjects of the questions as also being the topics that the questionnaire covers.

7. Using Semantics to Answer Question #2
We have a restriction that every Question must have a subject.
We also have a property that say, a Data Collection Instrument(questionnaire) must have at least one question.
Based on these two properties, we can choose the subjects of the questions as also being the topics that the questionnaire covers.

8. Thank You.