OWL Insights | Sumble

What is OWL?

OWL (Web Ontology Language) is a family of knowledge representation languages for authoring ontologies. Ontologies are formal representations of knowledge within a domain, defining concepts, relationships, and properties. OWL is used to enable machines to process and understand the meaning of information, rather than just interpreting syntax. It is commonly used in applications such as semantic web, data integration, and knowledge management.

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What other technologies are related to OWL?

OWL Competitor Technologies

Cypher

Cypher is a graph query language often used with property graphs. While OWL is focused on RDF graphs and semantic reasoning, Cypher focuses on pattern matching in property graphs. They serve different needs and operate on different graph models.

mentioned alongside OWL in 6% (115) of relevant job posts

TigerGraph

TigerGraph is a native graph database that uses a property graph model and its own query language (GSQL). Property graphs have a different structure and focus than RDF graphs used by OWL, so it is an alternative solution.

mentioned alongside OWL in 11% (62) of relevant job posts

Neo4j

Neo4j is a graph database that uses a property graph model and the Cypher query language. It does not natively support RDF or OWL, and serves a different use case.

mentioned alongside OWL in 2% (343) of relevant job posts

OWL Complementary Technologies

RDF

RDF is the foundation upon which OWL is built. OWL ontologies are typically serialized as RDF.

mentioned alongside OWL in 46% (1.7k) of relevant job posts

SHACL

SHACL is a schema language used for validating RDF graphs, offering a different approach to data validation compared to OWL's reasoning-based approach. They can be used together; SHACL for data validation, OWL for reasoning.

mentioned alongside OWL in 80% (652) of relevant job posts

SPARQL

SPARQL is the query language for RDF data, including OWL ontologies. It is used to retrieve information from RDF graphs.

mentioned alongside OWL in 39% (1.3k) of relevant job posts