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Connecting data. Making knowledge available at the right moment.

ATB develops solutions that enable distributed data to be described, linked and utilised across organisations. Data models, ontologies and inference methods create a shared domain-specific context and make information accessible for applications and decision-making.

How we support you

  • analysing existing data sources, responsibilities and usage objectives
  • developing shared information and metadata models
  • modelling ontologies and semantic relationships in a subject–matter–specific way
  • designing interfaces, data spaces and platform components
  • capturing contextual and experiential knowledge in a structured manner
  • providing knowledge in a manner appropriate to roles, tasks and situations

From data to actionable knowledge

Capture data → Model meaning → Link sources → Derive knowledge → Provide in a controlled manner

Methodological building blocks

Building block Contribution
Data repositories and interoperability Making data available for controlled use across system and organisational boundaries
IoT and platforms technically connecting distributed sources, services and applications
Context models and ontologies formally describing concepts, relationships and situations
Knowledge capture structurally recording experiential, process-based and document-based knowledge
Case- or rule-based reasoning deriving relationships and preparing decisions

Typical use cases

Application Potential benefits
Diagnosis and maintenance Locate problems, documents and experiences in a context-sensitive manner
Production and supply chains Jointly interpret and utilise data from various stakeholders
Product development and process planning Reuse knowledge from previous cases
Energy and resource monitoring Correlate consumption with process and status data
Training and assistance Provide information tailored to role, task and situation

Related projects: Data spaces, IoT & platforms

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