Ontology Management today has become
a truly enterprise-scale problem.

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.

Our knowledge graph platform, Anzo supports enterprise-scale ontology management by:

• Loading and integrating the parts of data sources containing taxonomies, vocabularies, or ontologies into a knowledge graph
• Harmonizing the source data against SKOS or other upper ontologies using the in-memory MPP graph engine, AnzoGraph
• Allowing users to edit and manage the ontologies in a highly collaborative and secure manner
• Publishing the ontologies at scale using Anzo’s endpoints and exploratory dashboardsIntegrating these ontologies with other parts of the knowledge graph in support of data fabric or analytics use cases