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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and SkiesĀ 

Ontotext

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The results of the analysis were then translated into RDF format and stored in the graph for future use.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotextā€™s Life Sciences and Healthcare Data Inventory are not. Semantic Data Integration With GraphDB. Visual Ontology Modeling With metaphactory.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web started in the late 90ā€™s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases.