
The present period of human history has been dubbed by some as "The Age of Knowledge" and by others as the "Knowledge Society". These buzzwords deny the fact that knowledge has always been important to the human race and probably always will be.
The actual age of knowledge is the same as the age of the human race. Knowing what plants are safe to eat can be knowledge as can knowing how to design a microprocessor. Knowledge is often redefined by people who use it differently or wish to distinguish it from other things such as information.
When dealing with knowledge it can be useful to know what knowledge is. This is not as easy as it sounds. It can be informative to ask 'What is not knowledge?' in order to help clarify this.
There is no single definition for knowledge. Two aspects of knowledge are considered here.
The basis for a definition of knowledge is given below.

A person 'P' has some knowledge 'K' if:
The knowledge 'K' is true
'P' believes 'K' to be true
'P' has justification for believing 'K' is true
This approach is typical and aims to clarify a definition for knowledge to be used in automated machine based systems. The definition relies on a comparative analysis of data, information and knowledge as follows:
These two definitions seem quite different. The source of this difference lies in the use that each definition is to be put. It is much easier to say that a human knows something (has knowledge) than say that a machine knows something. Both definitions have their place within the scope of organisational knowledge.
It is easier to be definite about what knowledge is not than what knowledge actually is.
However, if we take some of the definitions for knowledge found in this museum, it is possible to create some contention.
Some argue that a rule of the form: if 'x' then 'y' is knowledge. Many computer based Knowledge Based Systems have been constructed with this understanding. However, the rule stated above could in fact be wrong. Is a computer system containing false rules and drawing false conclusions still a Knowledge Based System?
Knowledge
also has context, e.g. the statement: "Acceleration
due to gravity is 9.81m/s" can only
be knowledge if qualified by the place where the
statement applies. i.e. "Acceleration
due to gravity is 9.81m/s on Earth".