Research on intelligent services for knowledge about the South China Sea shellfish based on ChatGPT

The South China Sea region is home to abundant shellfish resources, yet the information about these resources is currently dispersed across various books and websites. To ease the manual integration of this information, knowledge extraction processes typically rely on self-trained deep learning models. However, these models often require extensive data labeling and expert evaluation, and their text extraction performance tends to have limited generalization. A solution by utilizing ChatGPT was proposed to build a knowledge service system for shellfish in the South China Sea region. By integrating ChatGPT with query templates for shellfish knowledge, the reliance on labeled datasets for text extraction was significantly reduced, yielding favorable results. On this basis, the construction and visualization of a shellfish knowledge graph was successfully completed, along with the development of an intelligent question-answering system using Harbin Institute of Technology's language technology platform (LTP) 4.0. This research provides valuable insights into the application of large-scale artificial intelligence models for information collection and processing.