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Constructed using RDF and RDF Schema, this model facilitates comprehensive information retrieval about health clinics, staff, patients, illnesses, treatments, and medicines for research and commercial purposes.
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CS 566Web SemanticsHealth Clinic Model Professor Antoniou Grigoris Antonis Misargopoulos misarg@csd.uoc.gr Athina Tziaki tziaki@csd.uoc.gr
Introduction • Health Clinic model is constructed using RDF and RDF Schema • HC model is tested using VRP 2.5 • HC Schema is used to construct a PostgresQL DB of RSSDB • HC models a real-world health Clinic activities
Basic Classes: HC Model Description age weight name Health Clinic Person integer height fname string string lname specialty Staff Patient ID card_ID Doctor Assistant : subClassOf RDF Schema
Other Classes HC Model Description editionDate lastModifiedDate File Treatment type ID description s t r i n g name name Medicine Illness type Advices Medication Course description description
HC RDF Schema RDF Schema
HC RDF Data : subClassOf : type : association
HC Potential Queries (1/2) • Information retrieval about health clinics, i.e. what clinic is visited mostly or what specialties supports • Information retrieval about clinic staff personal data, i.e. specialty, etc. • Information retrieval about patients personal data, i.e. average age, etc. • Information retrieval about patients files, i.e. what period of year visit clinic mostly • Information retrieval about illnesses, suggested treatments and medicines for research and commercial reasons
HC Potential Queries (2/2) • Find the clinic with the larger number of cardiologists. • Find all doctor specialties, Benizeleio supports. • Find all doctors, who work at PEPAGNI. • Find all patients, monitored by Misargopoulos. • How many assistants cooperate with Misargopoulos. • Find average age of PEPAGNI patients. • Find George Jackson’s illness name and type. • Find all medicines suggested to Mary Jackson. • Find all medicines suggested by Benizeleio doctors • Find all assistant take care of George Jackson.
HC RDF Schema Limitation (1/2) • Cardinality • Each patient visits at least one clinic (1...n) • If there is a patient, then there is a file and just one (1...1) • Each patient has at least one illness (1…n) • Each clinic has at least one staff member (1…n) • Each medication consists at least of one medicine (1…n) • If there is a medicine, then there is a course as well
HC RDF Schema Limitation (2/2) • Reverse association • If a doctor cooperates with an assistant, then assistant cooperates with this doctor at once • If a file is updated by an assistant, then assistant update this file at once • etc. • Union, Intersection • A doctor or an assistant can also be a patient • etc.