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Tacit knowledge: Art, Science & Products
Tacit knowledge or implicit knowledge is knowledge that is difficult to extract or articulate—as opposed to conceptualized, formalized, codified, or explicit knowledge—and is therefore more difficult to convey to others through verbalization or writing. Examples of this include individual wisdom, experience, insight, motor skill, and intuition. An…
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Tacit knowledge topic overview
The analysis highlights Art, Science and Products as prominent areas in the source structure around Tacit knowledge.
Related topics
62
Source areas
5
Connected nodes
67
Extracted relationships
206
Concept neighborhoods
23
Bridge connections
67
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 33 topics
Examples · 16 topics
Nonaka–Takeuchi model · 6 topics
Differences from explicit knowledge · 4 topics
Diffusion model · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Tacit knowledge connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Tacit knowledge shows recurring relationship patterns in the source. For example, Tacit knowledge → Allen, Amsterdam, An Activity Centered Framework, Angioni, Arthur, Ba, Bao, Berghahm Books, Blackwell Publishing, Blink, Bringing Polanyi, Brohm, Brown, Cambridge, Cambridge University Press, Castillo, Chicago, Chicago Press, Cite, CiteSeerX Another extracted example is Tacit knowledge → After, Another, Bessemer, Collins, For, Harry, Henry Bessemer, Ikuko Tanaka, In, Moscow State University, One, Osaka International Hotel, Other, Panasonic, Russian, The, The Bessemer, The Matsushita, To, Vladimir Braginsky. Use these groups to spot repeated connection types before inspecting the individual relationships.
Tacit knowledge → After, Another, Bessemer, Collins, For, Harry, Henry Bessemer, Ikuko Tanaka, In, Moscow State University, One, Osaka International Hotel, Other, Panasonic, Russian, The, The Bessemer, The Matsushita, To, Vladimir Braginsky
related to Nonaka–Takeuchi model· 8
Tacit knowledge → Assuming, Hirotaka Takeuchi, Ikujiro Nonaka, In, Nonaka, Takeuchi, This, While
related to Origin· 8
Tacit knowledge → He, In, Michael Polanyi's Personal Knowledge, Polanyi, The, The Tacit Dimension, This, While
related to Diffusion model· 7
Tacit knowledge → Fourier's, In, Physics, Tacit, Tacit Knowledge Transfer Graph, This, TKTG
related to Definition· 6
Tacit knowledge → Effective, Some, Tacit, This, To, With
related to Differences from explicit knowledge· 3
Tacit knowledge → Although, Tacit, The
is a· 2
Tacit knowledge → kind of knowledge that we do not know how to make explicit and that we cannot envisage how to explicate, notion of language itself
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 206 structured relationships around Tacit knowledge. Examples in this analysis include Tacit knowledge → is a → kind of knowledge that we do not know how to make explicit and that we cannot envisage how to explicate and Tacit knowledge → is a → notion of language itself. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Tacit knowledge
is a
kind of knowledge that we do not know how to make explicit and that we cannot envisage how to explicate
0.90
text
Tacit knowledge
is a
notion of language itself
0.90
text
Tacit knowledge
related to Definition
Tacit
0.60
section
Tacit knowledge
related to Definition
With
0.60
section
Tacit knowledge
related to Definition
Effective
0.60
section
Tacit knowledge
related to Definition
This
0.60
section
Tacit knowledge
related to Definition
To
0.60
section
Tacit knowledge
related to Definition
Some
0.60
section
Tacit knowledge
related to Differences from explicit knowledge
Although
0.60
section
Tacit knowledge
related to Differences from explicit knowledge
The
0.60
section
Tacit knowledge
related to Differences from explicit knowledge
Tacit
0.60
section
Tacit knowledge
related to Diffusion model
Tacit
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Tacit knowledge bring nearby vocabulary together. In this analysis, examples include Tacit, Explicit and Cannot. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Tacit knowledge
Tacit
Explicit
Cannot
Transfer
Polanyi
Dimension
Codified
Model
Personal
Knowing
Concept
Interaction
tacit knowledge
Tacit
Explicit
Cannot
Management
Transfer
Polanyi
Dimension
Codified
Model
Personal
Without
Knowing
knowledge
Tacit
Explicit
Management
Transfer
Cannot
Codified
Model
Polanyi
Personal
Without
Knowing
Concept
knowledge management
Tacit
Explicit
Management
Transfer
Cannot
Polanyi
Codified
Model
Science
Personal
Without
Knowing
propositional knowledge
Tacit
Explicit
Management
Transfer
Cannot
Codified
Model
Polanyi
Personal
Without
Knowing
Concept
practical knowledge
Tacit
Explicit
Management
Transfer
Cannot
Codified
Model
Polanyi
Personal
Without
Knowing
Concept
declarative knowledge
Tacit
Explicit
Management
Transfer
Cannot
Codified
Model
Polanyi
Personal
Without
Knowing
Concept
differences from explicit knowledge
Tacit
Explicit
Knowledge
Model
Nonaka
Knowing
Management
Transfer
Interaction
Known
Takeuchi
Cannot
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Tacit knowledge, one of the stronger structural bridges in this analysis connects Tacit knowledge with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Tacit knowledge
Nodes68
Edges67
Triples206
Avg. degree1.97
Density0.029412
Components1
Source & methodology
TTTA analyzes the structure around Tacit knowledge to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
