To automate the workflow of a pharmacy, an information system based on a pharmaceutical ontology is proposed. The entities in the developed ontology include drugs, symptoms, and diseases. Instructions for medicines, drugs and their analogues are used as sources to describe relationships between entities. The main properties of each drug are de-scribed by its characteristics: name, expiration date, pharmacological group, storage location, dispensing form, manu-facturer, price, etc. Key features of the designed information system include the ability to search for medicines and drugs available in the pharmacy and included in the ontology by symptom or disease, and restricting the sale of medicines that have contraindications for the buyer. The functioning of most modules of the information system is carried out using an ontology inference engine. For each specific process, an automatic check of the consistency of restrictions in the ontology is performed, taking into account the specifics of storage, dispensing, and sale of pharmaceuticals. A distinctive feature of the developed information system is its capability to perform semantic searches on pharmaceutical ontology objects.
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Moshkin et al. (2024) studied this question.
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