A modular platform for intelligent data integration and knowledge management
The Semantic Information Management System (SIMS) provides a unified environment for managing complex technical and engineering data. It transforms heterogeneous datasets into a semantic knowledge graph, enabling intelligent querying, reasoning, and decision-making.
Designed as a modular architecture, each layer of SIMS can operate independently, yet communicate seamlessly via REST APIs or through shared databases. This flexibility allows project teams to adopt only the modules they need, while ensuring scalability and interoperability across domains.
In today’s engineering and research environments, data is highly fragmented and spread across formats, systems, and isolated units. Traditional approaches often fail to unlock the full value of this information.
The SIMS addresses this challenge by:
- Unifying scattered data into a coherent, semantically enriched knowledge base.
- Enabling interoperability between tools, standards, and partners.
- Empowering decision-makers with advanced reasoning, semantic search, and AI-driven insights.
By bridging the gap between raw data and actionable knowledge, SIMS becomes a strategic enabler for digital transformation, supporting innovation, compliance, and competitiveness across industries.