Thinking·OS

Graph explorer

Explore the knowledge graph

Information retrieval is part of Information science. Activate to inspect this relation.Information retrieval applies to Database. Activate to inspect this relation.Library science applies to Information retrieval. Activate to inspect this relation.Cataloging is part of Bibliographic Control. Activate to inspect this relation.Cataloging requires Metadata. Activate to inspect this relation.Subject Indexing requires Controlled Vocabulary. Activate to inspect this relation.Subject Indexing is part of Cataloging. Activate to inspect this relation.Authority Control depends on Controlled Vocabulary. Activate to inspect this relation.Authority Control applies to Cataloging. Activate to inspect this relation.Information retrieval depends on Metadata. Activate to inspect this relation.Information retrieval requires Relevance Ranking. Activate to inspect this relation.Relevance Ranking is part of Information retrieval. Activate to inspect this relation.Reference Service applies to Information retrieval. Activate to inspect this relation.Collection Development precedes Digital Preservation. Activate to inspect this relation.Digital Preservation depends on Metadata. Activate to inspect this relation.Bibliographic Control enables Information retrieval. Activate to inspect this relation.Collection DevelopmentDigital PreservationMetadataCatalogingInformation retrievalBibliographic ControlSubject IndexingAuthority ControlInformation scienceDatabaseRelevance RankingLibrary scienceReference ServiceControlled Vocabulary
Relationship types
Legend
  • Focused concept
  • Connected concept
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
14 concepts16 relationships4 disciplines5 relation families

Collection Development

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At a glance

Collection development is the planned selection, acquisition, and maintenance of a library's holdings.

Disciplines
Library Science
Role in the graph
Leaf concept
Relationships
1 · 1 relation families

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 4 disciplines: Computer Science, Data Science, Information Science, Library Science.
  • Database is a bridge concept — viewed here through Computer Science, Data Science.
  • The connections here span 5 relation families.

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.