-->
Knowledge Graphs
A knowledge graph, also known as a semantic network, represents a network of real-world entities - i.e. objects, events, situations, or concepts - and illustrates the relationship between them.

Super Early Bird Pricing for KMWorld 2026 Available for a Limited Time!
Register NOW for November 16-19. Use code SUPERSAVINGS.

Features

2026 The KMWorld AI 100: The Impact of AI on KM is Inescapable

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding against violations of privacy and proactively securing sensitive data.Value is the key to adopting any technology, and AI tools are no different. AI-enabled KM provides opportunities for KM to shine and for knowledge managers to prove their value to their organizations.

AI 100 Trailblazer: AllegroGraph - Agentic AI Needs Context Graphs Built on Knowledge Graphs

As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker provide the semantic control plane where Knowledge Graphs become Context Graphs for trusted Agentic AI.

AI 100 Trailblazer: Enterprise Knowledge collaborates with clients at every stage of an AI program

Thought leadership and the proven methodologies and expertise within are what makes us successful in collaborating with our clients at every stage of an AI program, from initial strategy and business case development to design, piloting, and enterprise AI builds.

AI 100 Trailblazer: Mindbreeze - From Answers to Action: Agentic AI for the Enterprise

By unlocking enterprise knowledge sources and integrating with existing AI ecosystems, Mindbreeze transforms organizational data into a secure foundation for models, agents, and intelligent search with document-level security at scale.

ViewPoints

Semantic Layers Bring Answers to Problems KM Is Designed to Solve

With a semantic layer framework, an organization can actually spot where they lack explicit knowledge and information, or where people are asking questions for which explicit answers don't exist.

How Semantic AI & Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub

By eliminating data silos, semantic AI enriches customer data and content and enables greater knowledge discovery across an organization. Due to its diverse capabilities, such as text mining, tagging, semantic search, etc., it can be implemented along the whole data and content lifecycle in order to develop intelligent applications. When integrated with an organization's CMS, semantic AI can help individuals get the information they need sooner.

Columns

A Glorious Victory for KM!

That AI has proven itself to be a revolutionary knowledge tool paints a different picture of the world itself. For millennia, we in the West counted as the highest knowledge the bedrock beliefs that ground the certainty of the layers of lesser knowledge that rest upon them. While the success of our culture proves the value of this approach in some critical areas, the rapid advances in knowledge enabled by machine learning based in multidimensional models that are too complex for us to understand remind us of what we've always already known: Our world overwhelms our smidgeon of consciousness.

Why Knowledge Management Needs a Quantum Reboot for the Agentic AI Age

By embracing a quantum approach, we can create an organization that is genuinely adaptive and intelligent. Agents, freed from the shackles of classical KM, can roam our knowledge graphs, identifying emergent patterns and unexpected connections that no human ever could. They can see that the support ticket trend and the new feature request in the sales call are actually the same particle, just observed in different contexts.

Forget AI Magic, Embrace the Knowledge Graph

The advances in AI and information management are not our enemies; they are our most powerful allies. When wielded by skilled KM professionals, these technologies work. When deployed without our input, they fail miserably, delivering incorrect, misleading, or plain nonsensical results.

Scarcity Versus Abundance

The Knowledge Age we've been talking about for so long has finally arrived. The potential for scarcity is real, but so is the potential for overflowing abundance. Let's bring every tool in our KM arsenal to bear, along with our decades of experience, and help make it happen.

Knowledge Management Whitepapers

From Fragmented Signal to to Strategic Insight

How Enterprise Information Architecture Solves Businesses’ Biggest Data Challenges

2026 KMWorld Guide to KM Trends, Products, and Services

Information Rich: Unifying Fragmented Data With Agentic Workflows in 2026

Knowledge Graphs Companies and Suppliers
Knowledge Graphs Directory