knowledge engineer
Code 2529.9
Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods. They are also responsible for eliciting or extracting knowledge from information sources, maintaining this knowledge, and making it available to the organisation or users. To achieve this, they are aware of knowledge representation and maintenance techniques (rules, frames, semantic nets, ontologies) and use knowledge extraction techniques and tools. They can design and build expert or artificial intelligence systems that use this knowledge.
Essential skills
Knowledge
- task algorithmisation
- systems development life-cycle
- business process modelling
- information structure
- information extraction
- database development tools
- business intelligence
- resource description framework query language
- principles of artificial intelligence
- natural language processing
- web programming
- systems theory
Skills and competences
- Solucionar problemas de compatibilidad de datos entre sistemas interconectados en salud
- analyse business requirements
- apply ICT systems theory
- create semantic trees
- define technical requirements
- assess ICT knowledge
- manage database
- manage business knowledge
- manage ICT semantic integration
- use databases
- use markup languages
- use an application-specific interface
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What to assess for this role
Technical knowledge can be verified with tests and references. What never shows up on a CV are the transversal competences, and they explain most failed hires. Before closing, it pays to measure them with a standardised battery.
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Sources
This service uses the ESCO classification of the European Commission and the Mapha Taxonomy developed by OTIC SOFOFA (CC BY 4.0), in an adapted version. Group codes come from the ILO's ISCO-08. See sources and licences