Here is the good news: The backbone of your enterprise ontologies already exists today – distributed across many data sources throughout your enterprise as well as within public ontologies. However, given the number of both internal and external sources of taxonomies and vocabularies addressing multiple domains, it is not possible to integrate and align that much data by manually documenting and organizing all the various terms and sharing them through traditional means. The knowledge graph solves this problem by extracting terminologies from relevant data sources and then harmonizing them using standard models such as SKOS or OWL. End users can curate and manage individual parts of these ontologies before publishing them out across the business at scale.
Merck KGaA is using Anzo as the platform for a large scale ontology that manages all the data they use for regulatory reporting globally.
Explore the benefits of building a Semantic Knowledge Graph with RDF*
Fireside Chat with Authors Dean Allemang, Jim Hendler and Fabien Gandon
Scalability, flexibility, and interoperability. Learn how Anzo supports key requirements of ontology projects.