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Vector-borne diseases (VBDs) are a kind of infection caused through thetransmission of vectors generated by the bites of infected parasites, bacteria,and viruses, such as ticks, mosquitoes, triatomine bugs, blackflies, andsandflies. If these diseases are not properly treated within a reasonable timeframe, the mortality rate may rise. In this work, we propose a set ofontologies that will help in the diagnosis and treatment of vector-bornediseases. For developing VBD's ontology, electronic health records taken fromthe Indian Health Records website, text data generated from Indian governmentmedical mobile applications, and doctors' prescribed handwritten notes ofpatients are used as input. This data is then converted into correct text usingOptical Character Recognition (OCR) and a spelling checker afterpre-processing. Natural Language Processing (NLP) is applied for entityextraction from text data for making Resource Description Framework (RDF)medical data with the help of the Patient Clinical Data (PCD) ontology.Afterwards, Basic Formal Ontology (BFO), National Vector Borne Disease ControlProgram (NVBDCP) guidelines, and RDF medical data are used to developontologies for VBDs, and Semantic Web Rule Language (SWRL) rules are appliedfor diagnosis and treatment. The developed ontology helps in the constructionof decision support systems (DSS) for the NVBDCP to control these diseases.

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules