A Note from TopQuadrant’s CEO, Irene Polikoff

As the end of 2019 quickly approaches, it’s a good time to reflect on the year gone by and what the next year holds in the world of Semantic-based Data Governance. Last year at this time we predicted that the use of Knowledge Graphs in the enterprise would be substantially expanded and that the use of SHACL, a data modeling language for describing and validating knowledge graphs, would be widely adopted.

We can confirm that adoption of SHACL has become widespread.

Today, just two years after the standard was released, nearly all RDF graph database vendors support SHACL. It also has been quickly adopted in business solutions that are using knowledge graph technologies.

Knowledge Graph technology is trending so well that everyone (vendors, consultants, analysts, etc.) wants a piece of it..

This has required providers of knowledge graph technologies and solutions (based on the semantic web standards stack) to distinguish Knowledge Graphs from other types of graphs, such as property graphs. The most important differentiator is that knowledge graphs contain not only facts (data) but also the meaning of the facts. The meaning is expressed in data schema (models) and in rich rules. Schemas and rules that represent the meaning are referred to as an ontology.

Availability of the ontology as part of a graph is a definitional quality of Knowledge graphs.  Ontologies are business models in contrast to, for example, data stored in relational databases, which does not function as a business model.  

TopBraid EDG – Enterprise Knowledge Graphs for Data Governance

Take a look at our Webinars to learn more about benefits and distinguishing characteristics of Knowledge Graphs.

TopBraid EDG 6.3 is Here!

Features include a new, sleeker UI for viewing and curating data and models.

Customizable Editors for Asset Collections

  • New EDG Editors let users combine the most used features into one interface, including these and more:
    • Right click menus
    • Ability to see two or more assets side by side
    • New asset list panel that lets users build sharable lists
    • Integration of query results
    • A new robust batch edit wizard
    • The new Editors are switched on by default, but users can still access the previous (6.2.x) Editor applications

Versioning Improvements

  • Multiple asset collections can now be cloned and versioned together

Support for Reification

  • Users can now annotate facts with additional statements in order to, for example, capture provenance of a business term definition or an effective date for any value

Faster and Easier Creation of Ontologies and Taxonomies

  • One step wizards for creating properties
  • Ingestion of taxonomy terms from documents
  • Smarter import for creation of schemas from data

Support for SAML based authentication

  • EDG can now be configured for Single Sign-On (SSO) with SAML 2.0 and AD FS. Other Identity Providers (IDP) for SAML 2.0 can also be integrated.

Updates to GraphQL APIs

  • GraphQL access to ontologies
  • GraphQL access to teamworks (change history)
  • GraphQL mutations can now execute SPARQL updates

For a complete list of new and enhanced capabilities see:

TopBraid 6.3 Release Notes

New Customers, Media Mentions and Speaking Updates!

New Customers

An international provider of market research and data collection services that support the needs of large corporations, as well as research agencies in the B2B, healthcare and technology sectors, selected TopBraid EDG—Vocabulary Management with a focus on information management and mapping information together.

An American global travel technology company selected TopBraid EDG—Vocabulary Management, Tagger, and TopBraid Explorer for ontology-driven dynamic publishing.

A multinational pharmaceutical and life sciences company used the TopBraid EDG—Vocabulary Management Management package to manage the standardization of terms used for clinical trials.

A major American pharmaceutical company chose TopBraid EDG—Reference Data Management to centrally govern and manage their reference data sets.

An international media company, based in Germany selected TopBraid EDG—Vocabulary Management to build and curate its business-critical models and taxonomies.

Media Mentions

Inside Big Data Article: October 24, 2019, 2020 Trends in Big Data: The Integration Agenda. TopQuadrant’s Irene Polikoff discusses why the integration of structured, unstructured and semi-structured data in data management platforms will be a major trend in 2020.

AI Business Article: October 14, 2019, 2020 Trends in Data Governance: The Blueprint for Controlling Automation.  Jelani Harper discusses 2020 trends in Data Governance, like regulatory compliance and data privacy with Irene Polikoff and Robert Coyne.

Dataversity Article: August 29, 2019, Knowledge Graphs for Robust Data Governance.  Jennifer Zaino interviews TopQuadrant’s Irene Polikoff who discusses how TopBraid EDG is a modular, integrated Knowledge Graph-based Data Governance technology that is based on W3C standard RDF graphs.

Recent Speaking Engagements

DG Vision, December 9-11, 2019 in Washington, D.C.



RECORDED: What is New in TopBraid EDG 6.3? The webinar demo covers enhanced and new end-user capabilities as well as some key technical capabilities for data governance and information management, making it appropriate for a broad range of information stakeholders.  We also highlight new features that expand TopBraid EDG’s role as the ultimate environment for enterprise knowledge graph development and use.

RECORDED: Semantic Knowledge Graphs are the Governance Architecture of the Future. This webinar shows how TopBraid EDG delivers adaptive enterprise data governance.

RECORDED:  Taxonomies, Ontologies, Knowledge Graphs, Oh My!  This webinar demonstrates ontologies and taxonomies, describes their value propositions, and highlights how they work together to deliver value. It also identifies best practices for their development and use.

RECORDED: Guided ML: Intelligent Autoclassification of Content Using Managed Vocabularies. This webinar addresses various scenarios of autoclassification including unstructured content in the enterprise, tagging and semantic search. It shows how TopBraid Tagger and AutoClassifier uses state-of-the-art Machine Learning (ML) to automatically assign most relevant tags  to content and can further enrich the content.


Our series of white papers continue to be a great resource for customers and the industry as a whole. We selected a few of our most popular papers to present below:

Implementing Data Governance with Knowledge Graphs to Enable Enterprise AI

This white paper explores how Knowledge Graphs provide a strategic foundation for both Data Governance and for enabling enterprise AI / ML in a virtuous cycle.

Building Bridges to Business Context is Essential to Data Governance

In this short paper, we outline how Knowledge Graphs are flexible, evolvable, semantic and intelligent. It is these characteristics that enable Knowledge Graphs to capture a description of data as an interconnected set of information that meaningfully bridges enterprise metadata silos.

Maturing Reference Data Management

This paper presents a practitioner-informed roadmap intended to assist enterprises in maturing their Enterprise Information Management (EIM) practices, with a specific focus on improving Reference Data Management (RDM).

December 2019

March 2020


TopQuadrant is a sponsor and exhibitor at the DG Vision in Washington, D.C., December 9-12, 2019.

TopQuadrant is a sponsor, exhibitor and is giving the talk How Implementing Data Governance with Knowledge Graphs Enable Enterprise AI at the next Enterprise Data World (EDW) conference in San Diego, CA, March 22-27, 2020



Our next newsletter will feature highlights from an upcoming whitepaper that will showcase application of adaptive Data Governance in the Healthcare-Medical domain using knowledge graphs and TopBraid EDG.


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