The sensitivity and specificity of the results of the present study in detecting the different personality types ranged from 71.4% to 100.0%. Cronbach’s alpha value for the total items was 0.756. The mean age of the participants was 34.26 ☑2.33 years. Results: Of the participants, 70 were females (35.2%), and 129 were males (64.8%). Its categorization was validated against the personality type classification made by an expert and another Turkish inventory, the Taştan Personality Inventory. Expert validation, convergent validity, test-retest, and The final questionnaire consisting of 27 questions, was applied to a sample of 199 Turkish-speaking participants. Methods: An instrument based on expert opinion and the Delphic method was developed. The aim of this study was to develop a Turkish assessment tool based on the Enneagram principles. Introduction: The Enneagram is an old process for human personality typing, principally understood, and taught as a typology of nine interconnected personality types. Enneaontology is the first Enneagram ontology.KeywordsOntologyEnneagramKnowledge representationPersonality modelArtificial intelligencePsychology The promising results verify Enneaontology. Enneaontology is evaluated with Enneagram personality detection application. Enneaontology is designed relative to METHONTOLOGY principles. These objects are reformer, helper, achiever, individualist, investigator, loyalist, enthusiast, challenger and peacemaker. These classes are Enneagram, key motivation, fear, feature, desire, problem and best classes. Enneaontology contains seven classes and nine objects. Enneaontology provides an ontology for Enneagram.
There is not any knowledge representation for the Enneagram. Enneagram personality detection system is required. Humans feel boring to do long questionnaire. The current method to realize Enneagram is questionnaire based. This knowledge helps them to give the right support. Enneagram is utilized to understand patients’ personalities. Enneagram is a personality model which is used by psychiatrists. In social media, attracting more users means getting more advertisements. Personality prediction catches research attention nowadays.
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