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