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Strong problem solving methods offer the appropriate technology to represent and process such complex decision knowledge.
The software KnowSEC integrates advanced semantic technologies and strong problem solving methods.
Here, strong problem solving methods were used to implement expert system-like behaviour.
You'd need 10+ years of experience and possess "strong problem solving skills and strong working knowledge of radiation performance" if you want the job.
For automated and standardized decision support we integrated semantic technologies and strong problem solving methods into the tool.
As depicted in Fig. 1, we combine semantic technologies [1] and strong problem solving methods [2, 3] into a coherent approach.
The developed approach KnowSEC combines the aforementioned semantic technologies and strong problem solving methods in a coherent manner, as we will see in "Results" section.
Whereas semantic technologies allow for a flexible representation and access to knowledge and data, we also include strong problem solving methods to implement expressive decision knowledge.
Students with degrees in mathematics are highly sought after in a variety of industries because employers know that success in mathematics requires strong problem solving abilities and outstanding analytical skills.
Standardized ontology languages (RDF/OWL and SPARQL) in combination with strong problem solving methods (scoring rules, decision trees, workflows) were the key enabler for an effective and flexible representation of knowledge.
This can translate into strong problem solving and interpersonal skills. .
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com