Skill
Semantic Web
Data Science, Analytics and AI/ML
The Semantic Web is a vision and set of W3C standards (such as RDF, OWL, and SPARQL) for structuring web data so that its meaning is machine-readable, enabling computers to interpret and connect information across sites rather than just displaying it. It underlies technologies like structured data markup (schema.org) used by search engines and knowledge graphs. It is used by web architects, data scientists, and researchers building linked-data applications and improving search and interoperability.
Open roles requiring Semantic Web (2)
Graph Engineer (AI&Data)
Accenture
Full-time
This role involves designing and implementing knowledge graph solutions that connect enterprise data and support AI initiatives. It's suited for engineers with graph database expertise who want to work on semantic technologies and GenAI applications across Accenture's international client base.
Listed on Accenture’s careers site · Apply there ↗
Technical Product Manager II, Content Metadata
The New York Times Company
Full-time · New York, NY · $120,000 – $142,000
This role leads product strategy for the systems that organize and structure The New York Times' journalism archive, making content discoverable and ready for AI applications. It suits someone with technical depth in databases and metadata who can navigate the competing needs of editors, engineers, and business partners.
Listed on The New York Times Company’s careers site · Apply there ↗
Roles that use Semantic Web
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.