Thinking·OS

Graph explorer

Explore the knowledge graph

Authority Control applies to Cataloging. Activate to inspect this relation.Authority Control depends on Controlled Vocabulary. Activate to inspect this relation.Bibliographic Control enables 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.Classification scheme enables Subject Indexing. Activate to inspect this relation.Classification scheme is part of Library science. 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.Information retrieval depends on Metadata. Activate to inspect this relation.Information retrieval requires Relevance Ranking. Activate to inspect this relation.Information retrieval applies to Database. Activate to inspect this relation.Information retrieval is part of Information science. Activate to inspect this relation.Library science applies to Information retrieval. Activate to inspect this relation.Reference Service applies to Information retrieval. Activate to inspect this relation.Reference Service enables Information Literacy. Activate to inspect this relation.Relevance Ranking is part of Information retrieval. Activate to inspect this relation.Subject Indexing is part of Cataloging. Activate to inspect this relation.Subject Indexing requires Controlled Vocabulary. Activate to inspect this relation.Information retrievalMetadataRelevance RankingDatabaseInformation scienceBibliographic ControlLibrary scienceReference ServiceCatalogingDigital PreservationClassification schemeInformation LiteracyAuthority ControlSubject IndexingCollection DevelopmentControlled Vocabulary
Relationship types

14 concepts viewed through this lens. Bridge concepts connect this view to Computer Science, Data Science, Information Science.

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • 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
16 concepts19 relationships4 disciplines5 relation families

Information retrieval

Open concept →

At a glance

Information retrieval finds the items in a collection that best match a user's query.

Disciplines
Information Science · Library Science
Role in the graph
Cross-disciplinary bridge — reaches Computer Science, Data Science
Relationships
7 · 4 relation families

What am I looking at?

In this lens (14)

Bridge concepts (2)

Just outside the lens — they connect it to other context.

  • Database1
    Computer Science, Data Science · connects to Information retrieval
  • Information science1
    Information Science · connects to Information retrieval

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.
  • Information retrieval is a bridge concept — viewed here through Information Science, Library 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.