Knowledge Management

Harnessing knowledge from data and experience

ATB develops knowledge–based systems that capture context from activities, processes and data. Models, ontologies and inference methods help to provide relevant information or support decision–making.

How knowledge management helps

Providing information in the right context

Context–sensitive systems take into account, for example, work tasks, process steps, machines or usage situations. This enables staff to receive precisely the information they need to make a specific decision.

Preserving experiential knowledge

Methods for knowledge capture help to document distributed experiential knowledge in a structured manner and make it available for diagnosis, maintenance, planning or training.

Formally describing and linking knowledge

Ontologies and semantic models represent the concepts, relationships and rules of a domain in a machine-readable format. This enables data from different sources to be interpreted and reused collectively.

Supporting decision-making

Case–based and rule–based reasoning can combine known cases, defined rules and current contextual information. These methods support specialists but do not automatically replace their decisions.

Methods and technologies

Method	Task
Context modelling	Map usage scenarios, tasks and system status
Ontologies	Describe concepts and relationships in a uniform manner
Knowledge capture	Document experience–based and specialist knowledge in a structured way
Case–based reasoning	Derive solutions from comparable cases
Rule–based reasoning	Apply defined specialist rules
Context–sensitive search	Provide information relevant to the current task

Typical fields of application

Diagnosis and maintenance

Systems provide relevant cases, documents and recommendations for action relating to the specific plant or fault. This enables specialists to make more targeted use of existing experience.

Production planning and product development

Requirements, decisions and technical relationships are documented in a traceable manner and reused for new planning tasks.

Energy and resource efficiency

Contextual information helps to correctly interpret consumption data, identify unusual operating conditions and investigate opportunities for improvement.

Adaptive learning and assistance systems

Learning content and work aids are provided in line with the task, level of knowledge and usage situation.