modelling of knowledge

USAGE SUMMARY

The phrase "modelling of knowledge" is correct and usable in written English.
It can be used in contexts related to education, information science, or cognitive science, where the representation or simulation of knowledge is being discussed. Example: "The modelling of knowledge is essential for developing effective teaching strategies that cater to diverse learning styles."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

The modelling element "Knowledge Product" is introduced by the modelling language PROMOTE® that enables a pragmatic, concrete and quick modelling of knowledge in enterprises.

IFAC Proceedings Volumes

This paper discusses the knowledge acquisition problems faced in the Supply Chain Management (SCM) when acquiring knowledge among Supply Chain (SC) members, and it subsequently shows how modelling of knowledge types can be used as knowledge base to assist in solving SCM problems.

Procedia Technology

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

"The challenges they pose to the traditional classroom model of knowledge transmission are obvious.

The New York Times

Derrida's starting point was his rejection of a common model of knowledge and language, according to which understanding something requires acquaintance with its meaning, ideally a kind of acquaintance in which this meaning is directly present to consciousness.

The Guardian

Epistemic Authority and General Models of Knowledge.

SEP

This study presents a framework for meta-modeling of knowledge.

Knowledge-Based Systems

Gendered ideas about epistemic authority can distort our general models of knowledge.

SEP

First, however, a brief note on how the causal model of knowledge is applied to inference.

SEP

The first is a co-relational model of knowledge (Mulla Sadra 2001-5, III: 317).

SEP

Innovation, research, cooperative models of knowledge production and forms of socialisation are allowed.

International Journal of Educational Technology in Higher Education

Code argues that knowledge of other persons rather than of propositions should be taken as a primary model of knowledge.

SEP

Expert writing Tips

Best practice

Use "modelling of knowledge" when referring to the process of model creation itself.

Common error

Avoid using "modelling of knowledge" when you simply mean "knowledge representation". "Modelling" implies an active process of creating a model, whereas "representation" refers to the state of being represented.

Linguistic Context

The phrase "modelling of knowledge" functions as a noun phrase, typically used as a subject or object in a sentence. Ludwig examples show its application in describing processes related to knowledge representation and formalization.

Expression frequency: Rare

Frequent in

Science

100%

News & Media

0%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "modelling of knowledge" is a noun phrase primarily used in formal and scientific contexts to describe the process of creating models that represent knowledge. Ludwig AI indicates that the phrase is grammatically correct. While not exceedingly common, it finds applications in fields like AI, cognitive science, and information science. It's crucial to distinguish between "modelling" and "representation", as the former implies an active creation process. Alternatives include "knowledge representation", "knowledge mapping", and "knowledge structuring", depending on the specific emphasis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

simulation of knowledge

Highlights the act of creating a simulation of knowledge.

knowledge representation

Focuses on the way knowledge is represented rather than the act of modelling.

knowledge domain modeling

Specifies that the modelling is within a particular domain of knowledge.

knowledge mapping

Emphasizes the structured arrangement and relationships within a body of knowledge.

knowledge structuring

Highlights the process of organizing and structuring knowledge.

knowledge formalization

Implies converting knowledge into a formal, structured format.

knowledge conceptualization

Refers to the process of forming a concept or idea of knowledge.

knowledge architecture

Describes the design and structure of a knowledge system.

cognitive modeling

Focuses on modeling cognitive processes related to knowledge.

ontology development

Indicates the creation of an ontology, a formal representation of knowledge.

FAQs

How is "modelling of knowledge" used in academic writing?

In academic writing, "modelling of knowledge" is often used to describe the process of creating abstract representations of knowledge structures, used in fields like artificial intelligence, cognitive science, and information management. For example, it can refer to formalizing expert knowledge into a computational model or designing a conceptual "knowledge representation".

What's the difference between "modelling of knowledge" and "knowledge management"?

"Modelling of knowledge" refers to the creation of models to represent knowledge, while "knowledge management" encompasses the broader set of practices involved in capturing, storing, sharing, and effectively using knowledge within an organization. Modelling can be a component of knowledge management.

What are some alternatives to "modelling of knowledge"?

Depending on the context, you can use alternatives such as "knowledge representation", "knowledge mapping", or "knowledge structuring". The best choice depends on whether you are emphasizing the act of modeling or the structure of the knowledge itself.

In what fields is "modelling of knowledge" commonly applied?

"Modelling of knowledge" finds applications in diverse fields, including artificial intelligence (for expert systems), cognitive science (for understanding human cognition), information science (for designing knowledge bases), and business (for decision support systems) and generally in "knowledge management".