Knowledge engineering is one of the building blocks of artificial intelligence (AI). It attempts to emulate the judgment and behavior of a human with expertise in a field or domain. In this lesson, we'll define knowledge engineering and its processes, understand where it fits within the AI landscape, and provide real-world examples of its application.
Imagine an education company wanting to automate the teaching of children in subjects from biology to computer science (requiring to capture the knowledge of teachers and subject matter experts) or Oncologists choosing the best treatment for their patients (requiring expertise and knowledge from information contained in medical journals, textbooks, and drug databases).
Knowledge Engineering is the process of imitating how a human expert in a specific domain would act and take decisions. It looks at the metadata (information about a data object that describes characteristics such as content, quality, and format), structure and processes that are the basis of how a decision is made or conclusion reached. Knowledge engineering attempts to take on challenges and solve problems that would usually require a high level of human expertise to solve.
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Engineer.ai
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