ITEA 4 page header azure circular

Ontology-Based Indexing and Retrieval System

Project
22009 SmartEM
Type
New product
Description

The system architecture is centered around an ontology-based indexing and retrieval framework, designed to enhance semantic understanding and improve discoverability across complex model repositories. This approach leverages structured metadata and AI-driven processes to deliver transparent, explainable, and highly integrable search capabilities

Contact
Bram Stalknecht
Email
sales@semlab.nl
Research area(s)
Model store
Technical features

Ontology-Based Indexing and Retrieval System: -AI assisted ontology development and maintenance -Explicit and editable meta-data ontology -Automated model indexing from generated docs -Transparent and explainable retrieval -External model repo integration is easy

Integration constraints

Seamless intergration with Siemens commercial engineering stack.

Targeted customer(s)

Engineering large companies, Engineering SME.

Conditions for reuse

Commercial Use Licenising

Confidentiality
Public
Publication date
17-02-2026
Involved partners
Reden BV (NLD)
SemLab (NLD)