• Hemang Desai

The Semantic Web is an exciting vision that takes the current web beyond just documents and links to a space where data is meaningful, connected, and easier for machines to understand. Semantic Web frameworks like RDF, OWL, and SPARQL are the building blocks that make this possible. These technologies enable data to be linked, queried, and reasoned in ways that were not possible before. In this paper, we’ll explore the key technologies behind the Semantic Web, including how they work, the challenges they face, and where they are headed in the future. We’ll look at the role of linked data, ontologies, and machine learning in improving the way data is handled on the web.

Semantic Web, Frameworks, RDF, OWL, SPARQL, Linked Data, Ontologies, Data Interoperability, Machine Learning

"Semantic Web Frameworks: A Technical Review and Future Directions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 4, page no.372-376, April-2016, Available :http://www.jetir.org/papers/JETIR1701D07.pdf

"Semantic Web Frameworks: A Technical Review and Future Directions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 4, page no. pp372-376, April-2016, Available at : http://www.jetir.org/papers/JETIR1701D07.pdf