Based Knowledge Discovery

Based knowledge discovery leverages existing knowledge bases and domain expertise to enhance various data mining tasks, aiming to extract more meaningful insights from data than traditional methods alone. Current research focuses on integrating knowledge graphs with natural language processing techniques, particularly for relation extraction across multiple documents and improving the performance of large language models in specific domains through knowledge mining and adaptive training. This approach is proving valuable in diverse applications, including biomedical literature analysis, mental health diagnosis from textual data, and improving the accuracy of image classification by incorporating scene text semantics.