Meaningfy Enacting Knowledge
We integrate unstructured data into comprehensive knowledge systems, enabling your organization to make data-driven decisions.
The core Python backend service for the Entity Resolution system. It provides the API, manages resolution job state, and orchestrates communication with pluggable EREs via Redis queues.
Formal software contract, shared data models, sample messages, and compliance tests required for integrating new Entity Resolution Engines (EREs) into the system.
A simple, demonstrator implementation of the Entity Resolution Engine (ERE). This serves as an example for developers to understand the ERE specification and message consumption logic.
Official documentation, specifications, architectural overviews, and future development ideas for the Entity Resolution Service ecosystem.
The dedicated web application (frontend) for the Entity Resolution Service. It provides the user interface for entity curation.
A set of useful tools for Metabase, such as importing/exporting of dashboards, database, security configuration etc.
Transform UML into a formal OWL ontology and SHACL shapes
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