Semantic Web

The Semantic Web aims to enhance the World Wide Web by adding structured, machine-readable data, improving data interoperability and enabling more intelligent applications. Current research emphasizes integrating large language models (LLMs) with existing Semantic Web technologies like ontologies and SPARQL for tasks such as question answering, personalized recommendations, and agent-based interactions. This work leverages techniques like ontology embedding, neural networks (e.g., BP neural networks), and rule-based systems (e.g., SWRL) to improve accuracy and efficiency in diverse applications ranging from e-commerce to healthcare. The resulting advancements have significant implications for knowledge representation, data integration, and the development of more sophisticated AI systems.