Knowledge Mapping

Knowledge is more than just facts. Knowledge references facts, but also includes references to context that make the facts more usable and even the ability to use the facts well. Knowledge generally implies some level of skill or mastery in using facts and that the facts are considered to be true.

In order to map knowledge, we start with the distinction between facts and knowledge. It is not enough to simply collect facts, so we must also collect some context background with which to frame the fact and enhance its usability.


  • Time – when the event occurred, start time, end time
  • Space – where the event occurred, size of the event, scope of the event, motion of the event
  • Categories – can be a single field with many values, or many fields
  • Key words – for searching, grouping
  • Format – text, A/V, reference
  • Type – fact, idea, experience, skill, reference
  • Related references – other similar, links
  • Sources – source of this item, master source, source area
  • Status – created, updated, verified, desired, unknown…
  • Evaluation – value, veracity, expertise level


  • Timeline – since a time reference is often a key characteristic of knowledge, a timeline is a useful way to map knowledge.
  • Taxonomy – from a simple outline tree of categories and sub-categories, to a more complex system designed to expand to handle unknown entries within given subject area limits
  • Free association – simple associations without a rigid structure can show different viewpoints on relationships among facts, also called “mind mapping”
  • Database – fields and records, indexing, queries, relational links