Reasoning Knowledge
Reasoning Knowledge Overview#
The Reasoning Knowledge (RK) is the foundational meta-layer that organizes and integrates all data stored across your repositories and data objects — tables, views, and more. It is the cornerstone of data management in ARPIA: a unified source of truth that powers governance, discovery, and data utilization across the entire platform.
What the Reasoning Knowledge Does#
At its core, the Reasoning Knowledge centralizes all data within ARPIA, ensuring consistency and reliability across operations. It is the primary layer where data from many sources — including tables and views — is structured and made accessible for:
- Data analysis — a reliable, consistent foundation for reporting and insight.
- Application development — a single place to discover and reuse data assets.
- AI reasoning — the knowledge that grounds reasoning flows and agentic workers.
What's Inside the Reasoning Knowledge#
The RK is a group of tools, each with its own documentation:
| Tool | What it covers |
|---|---|
| Knowledge Catalog | The searchable index of every data element in the Reasoning Knowledge. |
| Knowledge Ontology | The underlying schema — node types, link types, and the rules that define how nodes relate. |
| Data Points | The individual data elements that make up the catalog. |
| Actions | Operations and automations that run against your knowledge. |
| Access Governance | Controls that define who can see and use each element. |
Role in Data Governance#
The RK forms the backbone of data governance in ARPIA by:
- Defining, enforcing, and monitoring data policies.
- Supporting compliance efforts by maintaining data integrity throughout the data lifecycle.
- Providing a structured framework for managing data from creation to retirement.
- Making ownership and access explicit through Access Governance.
Exploring with the Reasoning Graph#
The Reasoning Graph is the visual tool within the Reasoning Knowledge. It renders all Knowledge Nodes and their relationships as an interactive map — letting you search, filter, inspect, and connect every element from a single view, in either 2D or 3D.
Use the Reasoning Graph when you need to:
- Explore the full catalog of nodes across repositories.
- Understand how data entities relate to one another.
- Map data lineage for a reasoning flow.
- Audit ownership and find gaps in your data governance.
- Connect two nodes by creating a relationship (edge) directly on the canvas.
👉 See Reasoning Graph for the full reference.
Enhancing Data Connectivity#
By consolidating data into a unified Reasoning Knowledge, ARPIA promotes better connectivity and accessibility. Users can access and analyze data from multiple repositories and logical sources from one place — a holistic approach that supports faster, better-informed decisions and removes the need to chase down data across disconnected systems.
Strengthening Data Integrity#
The structured approach of the Reasoning Knowledge strengthens data integrity. By centralizing data management and governance, ARPIA ensures that data across the platform remains:
- Consistent — one source of truth, not many divergent copies.
- Reliable — trustworthy enough to build reports, apps, and AI on top of.
- Effectively utilized — discoverable and reusable, not siloed and forgotten.
Who Uses the Reasoning Knowledge#
The RK serves a wide range of roles across an organization:
| Role | How they use it |
|---|---|
| Data Engineer | Structures the catalog, manages nodes, and documents data lineage. |
| AI / ML Engineer | Grounds reasoning flows and agentic workers in trusted, governed data. |
| Data Analyst | Discovers the right data assets for reports without depending on engineering. |
| Product Manager | Gets a clear view of what data exists, who owns it, and how it connects. |
| IT / Platform Admin | Enforces access governance and audits the catalog for gaps. |
| Compliance / Governance | Relies on the RK as evidence of data integrity and policy enforcement. |
The Reasoning Knowledge plays a critical role in ensuring data is well-organized, connected, and governed — driving ARPIA's commitment to robust data management and governance.