Graphifi: bridging islands of data into connected insights

Fraser Doig 05 Mar 2024 7 mins

In today's information-driven economy, businesses depend on managing and analyzing large amounts of complex data from disparate sources. Yet assembling a unified view of key information locked away in organizational silos represents an ongoing struggle. Knowledge and value remain fragmented.

It's a challenge the founders of Graphifi encountered firsthand. With backgrounds spanning content architecture, data modelling, software engineering and taxonomy from working at global organisations like Pearson and the BBC, they realized traditional approaches couldn't effectively handle exponential data growth.

Out of this need, Graphifi was born in 2019 to empower companies through intelligent connectivity - transforming scattered islands of data into a cohesive knowledge graph capable of delivering previously unachievable insights.

Their innovative suite of enterprise knowledge graph products and services equip teams with user-friendly tools to harmonize, analyze and maximize the value of their own business information. Global leaders now use Graphifi solutions to drive everything from improved content discovery to hyper personalized experiences to automated analytics.

What is a knowledge graph?

A knowledge graph connects key data entities – like people, places, or events – through relationships to form an interconnected network of concepts and information. Structuring data in this intuitive way allows hidden insights to emerge while making information much easier to access and analyze.

Graphifi: knowledge graphs made easy

While knowledge graphs are extremely powerful, they have been complex and costly for most companies to implement. Graphifi changes that with an end-to-end product suite purpose-built to make knowledge graphs scalable, affordable, and simple to use.

Their core offerings include:

  • Graphologi – Leading ontology and taxonomy management platform
  • EasyGraph – No-code knowledge graph builder
  • GraphAI – Advanced natural language processing to structure data which combines the power of semantics and AI.

This modular product set allows Graphifi to meet customers at any stage of their knowledge graph journey. Organizations can start small then expand capabilities as use cases grow over time.

Graphifi also provides specialized consulting services covering areas like taxonomy design, data modelling, AI implementation, and more.


Real companies, real results

Industry leaders across publishing, healthcare, finance, and other sectors are already using Graphifi’s solutions to create substantial business value.

ESG insights platform

In sustainable finance, disjointed taxonomy standards made it near impossible for investors and regulators to systematically track companies’ climate change risks and green initiatives.

Neural Alpha utilizes Graphifi tools to harmonize dozens of taxonomy standards into a unified knowledge graph for tracking climate risks and regulations. This powers an AI-enhanced platform that financial institutions use to evaluate companies on environmental criteria.

Political intelligence taxonomies

The Dods Group monitors daily political developments across thousands of complex interrelated topics to keep public and private sector clients informed through personalized briefings. But with taxonomies comprising hundreds of thousands of terms, outdated hierarchical classifiers led to inaccurate auto-tagging and frustrated experts.

By implementing Graphologi’s intuitive, collaborative interface, Dods empowered their own subject matter authorities to rapidly update those massive taxonomies. The revitalized structure now delivers precision content tagging to fuel Dods’ new Political Intelligence platform.

The power of connected content

While knowledge graphs focus primarily on structuring pure data, Graphifi introduced an innovative concept called “content graphs” to interconnect both content assets and data.

By integrating with leading content solutions like Tridion and Fonto, Graphifi’s tools can annotate text semantics in real-time during the authoring process. This enriches content with an underlying layer of taxonomy and ontology tags that enhance discoverability, reuse potential, and analytics.

For example, their Graphologi or EasyGraph APIs can plug directly into FontoXML to allow users to search taxonomies and select relevant tags to markup XML components on the fly. Authors simply access a widget to find concepts, make suggestions to the taxonomy, and confirm annotations.

Behind the scenes, the taxonomy governance workflow in Graphologi handles assessing and approving any new term submissions so validated concepts become immediately available to authors for ongoing annotation.

This creates a virtuous feedback loop between content creators and information architects while embedding machine-readable semantics within the source material.

On the backend, all taxonomic connections, ontological relationships, and content annotations are brought together into an integrated content graph data store. This knowledge-rich repository fuels advanced functionality from AI-assisted recommendations to custom analytics.

By interweaving both content and data into a cohesive graph, the contextual linkages enable much deeper personalization, automation and actionable insights than either source could provide independently. This ushers in the next generation of intelligent content capabilities.

The future is combining semantics and AI

As information volumes continue expanding exponentially across industries, it becomes impossible for humans alone to manage data effectively. Knowledge graphs provide the layer of machine-readable semantics essential for AI and automation to unleash deeper insights at scale.

By transforming disjointed content and data into interconnected knowledge graphs, Graphifi delivers the essential foundation for driving strategic value – from improving content discoverability to enabling hyper personalized search, recommendations, and automated analytics.

Their commitment to open standards means that graphs created with Graphifi can integrate across modern data stacks and evolve flexibly over time. This semantic data approach represents the future for any organization managing information or striving towards a unified view of their business.

Get started on your knowledge graph journey

We invite you to learn more about how Graphifi and Tridion are empowering organizations to improve findability, personalization, automation and analytics leveraging next-generation semantics.

  • Sign up for a 30-day free trial of Graphifi’s Graphologi platform for taxonomy and ontology management.
  • Test drive the EasyGraph no-code knowledge graph builder.
  • Arrange a consultation to see how GraphAI can solve your content problems by combining the power of AI and semantics.
  • Arrange a consultation to see how Tridion’s industry-leading content management integrates with Graphifi for high business impact.
  • Learn more about this partnership and what it means for the future of content by talking to our partner team.
Fraser Doig
Author

Fraser Doig

Senior Associate Product Marketing Manager
Fraser Doig is a Senior Associate Product Marketing Manager specializing in helping companies of all industries understand how structured content can elevate their business. At RWS, Fraser works in the Language and Content Technology division, always on the lookout for the latest and greatest developments in the market. He is a regular contributor to publications such as KMWorld and Customer Service Manager Magazine.
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