Semantic Web Technology

Semantic Web technology aims to create a web of data where information is not only stored but also understood by machines, facilitating interoperability and knowledge sharing. Current research emphasizes using large language models and knowledge graphs, often built with ontologies, to improve data integration, enable natural language querying (like translating natural language to SPARQL), and support complex reasoning tasks across diverse domains, including healthcare, materials science, and cultural heritage. This technology's impact is significant, enabling more efficient data management in large datasets (like data lakes), facilitating advanced analytics, and powering intelligent applications in various fields.