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What are semantic technologies?

The term "semantic technologies" describes tools used to organise, categorise and link data according to their meaning (semantics). Some semantic tools such as taxonomies or catalogues have been in use for centuries. Think of a library catalogue - a paper card system used by readers and librarians to find information in large organised collection. Others tools such as semantic web or knowledge inference engines are more recent and are under active development.

 

Overview of semantic technologies with selected application examples in research data management, physics and metrology.
Purpose Technology How it works  Examples
Concept organisation and naming Ontologies, taxonomies, thesauri (controlled dictionaries) Agreeing on using terms and what they mean. QUDT, PhySH, units of measure ontology
Data storage and retrieval Triple stores, resource description frameworks, SPARQL Providing a format in which organised data are stored and mechanism (query language) to interact with them. GraphDB, Neo4JGraphQL
Enable data interoperability and linkage Knowledge graphs, linked data such as JSON-LD Combining several technologies together to either enable or enhance semantic capabilities. For example, knowledge graphs can be combined with relational databases. DCC schema, JSON-LD, linked data EU tutorial
Knowledge inference Semantic reasoners, description logic, inference rules, semantic web Using logical and mathematical rules to infer knowledge from semantically annotated data. MathQL, semantic web tutorial