Metaknowledge or meta-knowledge is knowledge about knowledge.^[1]

Some authors divide meta-knowledge into orders:

• zero order meta-knowledge is knowledge whose domain is not knowledge (and hence zero order meta-knowledge is not meta-knowledge per se)
• first order meta-knowledge is knowledge whose domain is zero order meta-knowledge
• second order meta-knowledge is knowledge whose domain is first order meta-knowledge
• most generally, ${\displaystyle n+1}$ order meta-knowledge is knowledge whose domain is ${\displaystyle n}$ order meta-knowledge.^[2]

Other authors call zero order meta-knowledge first order knowledge, and call first order meta-knowledge second order knowledge; meta-knowledge is also known as higher order knowledge.^[3]

Meta-knowledge is a fundamental conceptual instrument in such research and scientific domains as, knowledge engineering, knowledge management, and others dealing with study and operations on knowledge, seen as a unified object/entities, abstracted from local conceptualizations and terminologies. Examples of the first-level individual meta-knowledge are methods of planning, modeling, tagging, learning and every modification of a domain knowledge. Indeed, universal meta-knowledge frameworks have to be valid for the organization of meta-levels of individual meta-knowledge.

Meta-Knowledge may be automatically harvested from electronic publication archives, to reveal patterns in research, relationships between researchers and institutions and to identify contradictory results.^[1]

See also

• Epistemic logic
• Macropædia
• Metacognition
• Metalearning
• Metaprogramming (in computer science)
• Metahistory (concept)
• Metahistory, a book by Hayden White
• Meta-philosophy
• Meta-epistemology
• Metalogic
• Metamathematics
• Metaphysics
• Meta-ethics
• Meta-ontology
• Metatheory
• Metadata

References

External links

Look up metaknowledge in Wiktionary, the free dictionary.

• Knowledge Interchange Format Reference Manual Chapter 7: Metaknowledge, Stanford University
• A Survey of Cognitive and Agent Architectures: Meta-knowledge, University of Michigan

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