What is the definition of knowledge within data science? "Knowledge" is crucial within several fields like Knowledge Discovery, Knowledge Distraction, Natural Language Processing, Data Mining, Big Data, etc etc etc.

What is the definition of knowledge within these fields?

Is there 1 common definition, or does it depend on the exact context?
The definition of knowledge varies based on the context, but can be broadly defined as actionable information based on further analysis (statistical, heuristic, or otherwise) of those patterns, associations, or relationships identified in the raw data.

Put another way, knowledge is defined by what information will most prove actionable based on the needs of the client or user (sometimes called the semantics).