What Are Knowledge Graphs?

A Knowledge Graph turns Data into Knowledge

Highly Expressive Graphs Used to Connect and Enrich All Data

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A Knowledge Graph represents a knowledge domain

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It represents knowledge as a graph

A network of nodes and links
Not tables of rows and columns

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It represents facts (data) and models (metadata) in the same way

Rich rules and inferencing

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It is based on open standards, from top to bottom

Readily connects to knowledge in private and public clouds

Want to see a knowledge graph in action?

Knowledge graphs integrate data facts with a semantic layer that provides rich, machine understandable representation of the meaning of data.

A Powerful Platform for Enterprise Data Integration

Knowledge graphs are an ideal foundation for bridging and connecting enterprise metadata silos. Every resource in a TopBraid knowledge graph has a globally unique dereferenced web identifier – a URI. Thus, can be reliably referred to and accessed from any application.

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Flexible

Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections.

Evolvable

Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do.

Intelligent

The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements.

Semantic

The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive.

How to Get Started with Knowledge Graphs?

Implementing effective Data Governance can be challenging. TopBraid EDG provides a solution by readily converting existing information into a knowledge graph.

Data Governance Challenges

  • Galaxies of data
  • Diversity of perspectives – Business, Technical, Regulatory
  • Diversity of representation
  • Complex enterprise landscape

Solution

  • Auto-create knowledge graphs representing data sources
  • Link to other relevant enterprise information e.g., systems, policies, infrastructure, activities
  • Enrich, discover, connect
  • Use to guide business decisions

More Details about Knowledge Graph Technologies

PRESENTATION: Knowledge Graphs –A Strategic NoSQL Approach for Data Management and Governance

Download TopQuadrant’s presentation at Enterprise Data World 2019.

WEBPAGE: WORKING WITH WIKIDATA AND OTHER EXTERNAL KNOWLEDGE GRAPHS

Want to take advantage of external knowledge graphs by connecting to them? Learn how to do this.

WEBPAGE: SHACL - W3C STANDARD FOR GRAPH DATA MODEL AND RULES

Understand how to create semantically rich graph models that will help connect and enrich your information.

WHITE PAPER: BUILDING BRIDGES TO BUSINESS CONTEXT IS ESSENTIAL TO DATA GOVERNANCE

Learn about key knowledge graph characteristics that meaningfully bridge enterprise metadata silos.

Ready to Get Started?

Get in touch today to learn how to improve semantic data governance for your enterprise.