Tech Insights

semantic web technologies

Last updated May 18, 2025, generated by Sumble

What is semantic web technologies?

Semantic Web technologies provide a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a set of design principles and technologies that enable machines to understand and reason about data on the Web. Key technologies include RDF (Resource Description Framework) for representing data, OWL (Web Ontology Language) for defining vocabularies, and SPARQL (SPARQL Protocol and RDF Query Language) for querying data. They are used for knowledge representation, data integration, and intelligent applications.

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What other technologies are related to semantic web technologies?

semantic web technologies Complementary Technologies

SPARQL

SPARQL is the query language for RDF, a core technology of the Semantic Web, and therefore strongly complementary.

mentioned alongside semantic web technologies in 2% (55) of relevant job posts

R is a programming language and environment commonly used for statistical computing and graphics. It can be used to analyze data from Semantic Web technologies, making it complementary.

mentioned alongside semantic web technologies in 0% (55) of relevant job posts

Python

Python is a versatile programming language with libraries for interacting with Semantic Web technologies (e.g., RDFlib). It is used for data processing, analysis, and building applications based on Semantic Web data, making it complementary.

mentioned alongside semantic web technologies in 0% (73) of relevant job posts