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Data for "OntoChatGPT Information System: Ontology-Driven Structured Prompts For ChatGPT Meta-Learning" paper

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Data for "OntoChatGPT Information System: Ontology-Driven Structured Prompts For ChatGPT Meta-Learning" paper

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Palagin, O., Kaverinskiy, V., Litvin, A., & Malakhov, K. (2023). OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning. International Journal of Computing, 22(2), 170-183. https://doi.org/10.47839/ijc.22.2.3086


File Description
./data/meta_ontology.owl OWL ontology which contains patterns of the structured JSON prompts for the chat GPT content and formation.
./data/terms.json and semantic_graph.json Examples of the terms/contexts ontology description organization approaches in the JSON format.
./data/SPARQL-queries-to-meta-ontology.md SPARQL queries to obtain from the meta-ontology information about structured JSON prompts for the ChatGPT formation. There are three queries: to get the instructions fiends, to get the information about the input fiends, and to get the response results structure. The input variable of the queries is value of the task_order and language, which determine the prompt structure (presence of the certain fields and their values).
./data/prompts-samples.md Examples of the structured JSON prompts for the ChatGPT for the purposes of intents detection, named entities extraction and obtaining inferences from the given contexts and intents.
./data/test-results.md Table with test questions (in Ukrainian), responses of the ChatGPT to each of the three prompts including the final response, and evaluations of the obtained answers.
./data/figure1.drawio Figure 1 source - C4 Context/Container diagram.