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OpenSINT

Open Semantic Integration for regulatory reporting

AI-assisted, BIRD-aligned semantic integration: open mappings, open tooling and executable validation.

OpenSINT is an open initiative for turning fragmented regulatory definitions, dictionaries and reporting artefacts into a reusable semantic core aligned with BIRD standards.

It combines AI-assisted mapping, open CSV/SMCubes-style artefacts, human review and executable validation through Eclipse Free BIRD Tools.

The aim is to make regulatory semantic harmonisation open, measurable and testable, and to foster open innovation in this field.


Why OpenSINT?

Regulatory reporting frameworks often contain overlapping, duplicated or inconsistent definitions. This creates avoidable complexity for authorities, banks, vendors and reporting specialists.

OpenSINT addresses this by focusing on two objectives:

  1. Converge existing reporting definitions

    Map today’s regulatory reporting data elements to a reusable BIRD-aligned semantic core.

  2. Prevent future divergence

    Provide tooling, review processes and measurable feedback so that new requirements can be added without unnecessary semantic duplication.


What OpenSINT provides

OpenSINT provides open artefacts and methods for semantic integration:


Current experiment: COREP

The first OpenSINT repository contains an initial set of candidate semantic mappings for COREP.

These mappings link reported data elements from the EBA COREP framework to existing or candidate BIRD dictionary items. They are published openly so that contributors can inspect, improve and test them.

This first version should be treated as a transparent starting point: useful for experimentation, review and refinement, but not a final authoritative mapping set.

View the OpenSINT COREP repository


OpenSINT can be viewed clearly using the open-source, vendor-nuetral,FreeBIRD Application

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Open, reviewable and testable

OpenSINT is not intended to be a theoretical exercise.

Using Eclipse Free BIRD Tools, contributors can:

A key principle of OpenSINT is that semantic integration should be verifiable. The mappings should not only look reasonable; they should help support a working reporting flow where data goes in and populated report templates come out.


AI-assisted, not AI-authoritative

OpenSINT's first contributed experiment AI to accelerate the discovery of candidate semantic mappings. We accept any an all experiments, manual or AI driven. You can view the first AI related contributionfrom BIRD Software Solutions here

AI can help identify possible matches, highlight gaps and propose reusable structures. However, OpenSINT does not treat AI output as automatically correct.

The value of OpenSINT comes from combining AI-assisted generation with open artefacts, expert review, transparent history and executable testing.


What mappings are — and are not

OpenSINT mappings are semantic links between existing regulatory artefacts and a BIRD-aligned semantic core.

They are useful because they make integration explicit, reviewable and testable.

Read more about what mappings are and are not


Maintaining harmonisation

OpenSINT also aims to help maintain semantic harmonisation as new reporting requirements are introduced.

Future work will support:

The long-term objective is to make regulatory semantic harmonisation measurable, maintainable and operational.


Get involved

OpenSINT is open to alternative methods, tools and AI approaches.

Contributors can review mappings, propose improvements, compare methods and help test whether the semantic core can support executable reporting.

View the repository Read the mapping guide Contribute