A standard model for data interchange on the web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed.
RDF is used to make statements about resources (anything that can be identified on the web, like a document or an image) in the form of subject-predicate-object expressions, known as triples. Each triple represents a fact or a piece of knowledge. This structure allows for data from different sources to be easily combined.
RDF is used in various applications where information needs to be structured and linked, such as:
- Web Semantics: Enhancing web data with additional semantics enables better organization and search.
- Data Integration: Combining data from different sources with different structures.
- Personal Information Management (PIM): Structuring personal data for more efficient organization and retrieval.
- Knowledge Management: Creating and managing enterprise knowledge graphs.
RDF data can be written in various formats, including:
- RDF/XML
- N-Triples
- Turtle
- RDFa
RDF can significantly enhance data discoverability and interoperability, which are crucial aspects in fields such as digital marketing and sales. By structuring data in RDF, businesses can improve their SEO, make their products more discoverable and understandable to search engines, and ultimately enhance user experience and sales conversions.
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