Semantic Entity

Semantic entity research focuses on identifying and representing meaningful units of information within data, aiming to enable computers to understand and reason about the world in a way similar to humans. Current research emphasizes leveraging large language models (LLMs) and knowledge graphs (KGs) to improve entity recognition, alignment across different datasets, and the generation of structured representations from unstructured text, often employing techniques like embedding models and attention mechanisms. These advancements are crucial for improving information retrieval, automating knowledge graph construction, and facilitating semantic interoperability across diverse scientific domains and industrial applications, such as digital twin development and scientific literature organization.