Yes. TopBraid EDG is built on Semantic Web standards and uses knowledge graphs to connect and govern enterprise information. Its standards-based foundation includes RDF for representing data and relationships, OWL for ontologies, SPARQL for querying, SHACL for defining and validating data constraints, and SKOS for taxonomies and controlled vocabularies.

These technologies help organisations manage shared definitions, link related information and check data against explicit rules. This supports interoperability and reuse across systems, although standards support alone does not guarantee seamless integration or data quality; those still depend on modelling, mappings and governance

TopBraid EDG supports transparent data connections by linking business terms, datasets, applications, policies and ownership information through interconnected knowledge graphs. Rather than simply cataloguing assets, it makes their relationships explicit, helping teams understand what data means, where it originates and how it is used across the organisation.

Its foundation in open Semantic Web standards, including RDF, OWL, SPARQL and SHACL, supports interoperable modelling, querying and validation. Data-lineage views can trace relationships from technical details, such as tables and transformations, to business terms and processes, while timestamped change histories support accountability. Together, these capabilities help users inspect connections and changes rather than rely on undocumented mappings.

For healthcare and life sciences organisations, this can support clearer connections between research datasets, terminology, source systems and governance requirements. However, transparency depends on the completeness and accuracy of the metadata, mappings and lineage captured: TopBraid EDG provides the framework, but does not automatically guarantee data quality, regulatory compliance or seamless integration