Making Meaning More Actionable: What’s New in Progress Semaphore 5.10.2

January 16, 2026 Data & AI, Semaphore

In every enterprise, knowledge is both the most valuable and most under-leveraged asset. The problem isn’t a lack of information; it’s that meaning often gets lost between systems, teams and terms. What one department calls a “policy” or “client” might mean something entirely different somewhere else. The result? Disconnected understanding, duplicated efforts and difficulty trusting what the data really says.

The latest release of Progress Semaphore 5.10.2 takes direct aim at that challenge. It builds on the foundation of governed, semantic understanding within the Semaphore platform to help organizations model, manage and connect knowledge with far greater clarity and flexibility.

This release focuses on advancing how meaning is captured, reused and discovered across the enterprise, empowering modelers and business users to work with information that is both trusted and adaptable.

Capturing Meaning Where It Lives: Metadata on Labels

The Metadata on Labels feature in Semaphore 5.10.2 enables organizations to represent knowledge with greater precision. Modelers can now attach metadata directly to individual labels—the specific terms used across the business—allowing each to carry its own context, governance attributes and traceability.

This capability makes it possible to reflect how knowledge operates in real-world environments. Terms are no longer flattened into generic definitions; they retain nuance and explainability. Auditors can trace how a label is governed, data stewards can manage meaning at a detailed level and business users can work confidently within their own context.

The result is a knowledge model that more accurately mirrors enterprise language and strengthens trust in every decision derived from it.

Making Models Collaborative and Scalable: SKOS Collections

Even the best-governed models can become difficult to navigate as they grow. Teams often struggle to organize or reuse related concepts without copying them into new places—leading to inconsistencies over time.

The new SKOS Collections capability solves that elegantly. It allows users to visually group related concepts into flexible sets directly within the Semaphore interface. A marketing team might create a “Campaign Terms” collection; an R&D group might build one around “Materials Research.” Collections can be shared, exported and refined without touching the underlying taxonomy.

This makes modeling collaborative, faster and cleaner. Instead of spending time finding, exporting or recreating content, teams can focus on using it. Governance stays intact, but agility increases dramatically—a crucial balance for enterprises working across complex knowledge domains.

Flexibility That Reflects How Teams Work

To make governance more sustainable at scale, modeling needs to evolve with how teams think and build. The Flexible Metadata Assignment feature in Semaphore 5.10.2 gives modelers that freedom.

Now metadata can be applied consistently across concepts, concept schemes, relationships and labels, using a unified, predictable structure. Instead of wrestling with different rules for each element type, modelers can define and manage context seamlessly across the entire model.

For enterprises with large, federated data environments, this means a major reduction in maintenance time and fewer errors. More importantly, it creates a shared modeling language that connects technical and business perspectives without friction.

Simplifying and Reusing What Already Works

Another common pain point for modelers is redundancy, creating the same concept multiple times just to accommodate new terminology.

Semaphore 5.10.2 introduces the ability to reuse existing concepts as labels. When a new term comes from a business stakeholder, modelers can quickly connect it to an existing concept instead of creating a duplicate.

This reduces noise, strengthens alignment between teams and keeps the model lean and maintainable. The organization gets one unified view of knowledge that can evolve continuously, without unnecessary complexity.

Once knowledge is modeled, the next challenge is finding and connecting it meaningfully. That’s where Semantic Search in Concept Server takes center stage.

Using embeddings-based search, the Semaphore semantic AI platform can now identify relationships between concepts based on meaning rather than just matching text. This allows users to uncover hidden relationships and connect ideas that traditional search might miss—a critical capability as enterprises explore semantic search, retrieval-augmented generation (RAG) and AI-driven discovery.

Modelers and analysts gain a clearer, more intuitive view of how concepts relate. Data teams can align terms and ontologies faster. And business users can explore knowledge through intent, not syntax.

The payoff is powerful: a platform that understands your information the way your organization does—by meaning, not just by words.

From Better Models to Better Decisions

Taken together, these innovations redefine what it means to govern knowledge effectively:

  • Metadata on Labels adds precision and transparency
  • SKOS Collections adds agility and collaboration
  • Flexible Metadata Assignment adds consistency
  • Concept Reuse adds efficiency
  • Semantic Search adds intelligence

All of these work in concert to create an ecosystem where knowledge can move freely but remain governed, where models grow without becoming unmanageable and where insight comes more readily because the foundation is stronger.

Organizations using Semaphore 5.10.2 can model more naturally, adapt more quickly and make decisions that are grounded in a shared, explainable understanding of their information.

The Road Ahead

The Progress Semaphore platform continues to evolve towards a simple goal: helping organizations connect knowledge in ways that power trustworthy data, responsible AI and confident decisions.

With version 5.10.2, that vision comes into sharper focus; not as a set of new features, but as a more human and intelligent way to manage meaning itself.

Explore the release highlights and learn how your teams can take advantage of these new capabilities on the Semaphore product page.

Dr. Keith Atkins

Dr. Keith Atkins is the Product Owner for the Progress Semaphore product suite. He has been with the Semaphore team for nearly 25 years with jobs ranging from bespoke customer deployments to software development. Keith has worked on a wide range of customer projects using Semaphore and acted as a back-end consultant for many others. He now brings that extensive customer experience and operational knowledge from the field to help guide the product into its next chapter.

Read next Model Smarter, Not Harder with Semaphore 5.10.1: Boosting Productivity and Insights