@prefix : <https://platforms.substack.com/p/scarcity-and-strategy-misreading#> .
@prefix schema: <http://schema.org/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .

#################################################################
# Ontology
#################################################################

: a owl:Ontology ;
    schema:name "Scarcity and Strategy Ontology"@en ;
    schema:description "A lightweight ontology modeling how strategic advantage migrates as a technology removes a formerly scarce resource, expressed through named 'directions' along which scarcity can relocate."@en ;
    schema:identifier "https://platforms.substack.com/p/scarcity-and-strategy-misreading"^^xsd:anyURI ;
    rdfs:label "Scarcity and Strategy Ontology"@en ;
    rdfs:comment "Defines ScarcityMigrationDirection and its structured attributes for analyzing where competitive advantage relocates once a bottleneck disappears."@en .

:ScarcityMigrationDirection a rdfs:Class ;
    rdfs:label "Scarcity Migration Direction"@en ;
    rdfs:comment "A candidate hypothesis about where scarcity (and therefore strategic advantage) relocates once a prior bottleneck in a system is removed by a new technology."@en ;
    rdfs:isDefinedBy : .

:migratesScarcityTo a rdf:Property ;
    rdfs:label "migrates scarcity to"@en ;
    rdfs:comment "The specific capability or activity that becomes the new bottleneck under this direction."@en ;
    rdfs:domain :ScarcityMigrationDirection ;
    rdfs:range xsd:string ;
    rdfs:isDefinedBy : .

:counterArgument a rdf:Property ;
    rdfs:label "counter-argument"@en ;
    rdfs:comment "The objection or limitation the article raises against this direction."@en ;
    rdfs:domain :ScarcityMigrationDirection ;
    rdfs:range xsd:string ;
    rdfs:isDefinedBy : .

#################################################################
# Core Article, Author, Publisher, Book
#################################################################

: a schema:Article ;
    schema:headline "Scarcity and strategy - Misreading AI the way Hollywood misread streaming"@en ;
    schema:abstract "Technological disruptions are commonly misread because analysts focus on how a new technology improves the existing game rather than on what becomes newly scarce once the old bottleneck disappears; applying this lens to AI reveals three competing hypotheses about where scarcity in knowledge work migrates."@en ;
    schema:author :author ;
    schema:publisher :publication ;
    schema:isPartOf :publication ;
    schema:datePublished "2026-08-09"^^xsd:date ;
    schema:url <https://platforms.substack.com/p/scarcity-and-strategy-misreading> ;
    schema:mainEntityOfPage <https://platforms.substack.com/p/scarcity-and-strategy-misreading> ;
    schema:about :reshuffleBook ;
    schema:mentions <http://dbpedia.org/resource/Netflix>, <http://dbpedia.org/resource/Squid_Game>,
        <http://dbpedia.org/resource/Bobby_Deol>, <http://dbpedia.org/resource/Winona_Ryder> ;
    schema:hasPart :streamingAnalogySection, :scarcityStrategySection, :misdiagnosisSection,
        :frameworkSection, :resolutionSection, :howtoSection, :faqSection, :glossarySection ;
    prov:wasGeneratedBy <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator#this>,
        <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill#this> .

<https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator#this> a schema:SoftwareApplication ;
    schema:name "kg-generator skill"@en ;
    schema:url <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator> ;
    schema:description "Agent skill that generates standards-compliant RDF/JSON-LD Knowledge Graphs from web and document sources."@en .

<https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill#this> a schema:SoftwareApplication ;
    schema:name "rdf-infographic-skill"@en ;
    schema:url <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill> ;
    schema:description "Agent skill that renders interactive HTML infographics and Markdown companions from RDF Knowledge Graphs."@en .

:publication a schema:Blog ;
    schema:name "Platforms, AI, and the Economics of BigTech"@en ;
    schema:url <https://platforms.substack.com> ;
    schema:description "Sangeet Paul Choudary's Substack newsletter on platform strategy, AI, and the economics of Big Tech."@en ;
    schema:publisher :author ;
    schema:hasPart : .

<https://www.linkedin.com/in/sangeetpaul/#this> a schema:Person ;
    schema:name "Sangeet Paul Choudary"@en ;
    schema:url <https://www.linkedin.com/in/sangeetpaul/> ;
    schema:identifier <https://www.linkedin.com/in/sangeetpaul/> ;
    schema:jobTitle "Founder, Platform Thinking Labs"@en ;
    schema:description "Author of Platform Revolution and Reshuffle; Senior Fellow at UC Berkeley; writes on platform strategy and AI's impact on the knowledge economy."@en ;
    schema:author :reshuffleBook ;
    owl:sameAs <https://x.com/sanguit#this>,
        <https://substack.com/@platforms#this>,
        <http://dbpedia.org/resource/Sangeet_Paul_Choudary> .

:author owl:sameAs <https://www.linkedin.com/in/sangeetpaul/#this> .

:reshuffleBook a schema:Book ;
    schema:name "Reshuffle: Who wins when AI restacks the knowledge economy"@en ;
    schema:isbn "9798294127213" ;
    schema:author <https://www.linkedin.com/in/sangeetpaul/#this> ;
    schema:description "Sangeet Paul Choudary's book arguing that AI is removing scarcities around the production of usable knowledge work, and examining who wins as the knowledge economy restacks around new bottlenecks."@en .

#################################################################
# Streaming analogy section
#################################################################

:streamingAnalogySection a schema:CreativeWork ;
    schema:name "The streaming reshuffle"@en ;
    schema:abstract "Hollywood read streaming as an access channel, but its real effect was removing the scarcity of the prime-time programming slot, which restructured the industry's economics, talent power, and creative range."@en ;
    schema:isPartOf : ;
    schema:hasPart :primeTimeSlotScarcity, <http://dbpedia.org/resource/Netflix>, <http://dbpedia.org/resource/Squid_Game>,
        <http://dbpedia.org/resource/Bobby_Deol>, <http://dbpedia.org/resource/Winona_Ryder> .

:primeTimeSlotScarcity a schema:CreativeWork ;
    schema:name "Prime-time slot scarcity"@en ;
    schema:abstract "Broadcast TV had a handful of scarce prime-time slots, forcing programmers to exercise judgment under severe capacity constraints and favor broad-appeal, predictable formats."@en ;
    schema:isPartOf :streamingAnalogySection .

<http://dbpedia.org/resource/Netflix> a schema:Organization ;
    schema:name "Netflix"@en ;
    schema:description "Streaming platform cited as the example that removed prime-time programming-slot scarcity, enabling portfolio experimentation over editorial capital allocation."@en ;
    schema:mentions :streamingAnalogySection .

<http://dbpedia.org/resource/Squid_Game> a schema:CreativeWork ;
    schema:name "Squid Game"@en ;
    schema:description "Cited as a series that became globally important without being designed as global television, illustrating streaming's removal of national-market scarcity."@en .

<http://dbpedia.org/resource/Bobby_Deol> a schema:Person ;
    schema:name "Bobby Deol"@en ;
    schema:description "Cited as an actor whose career was transformed once streaming allowed platforms to make more bets and tolerate a longer tail of outcomes than broadcast scarcity permitted."@en .

<http://dbpedia.org/resource/Winona_Ryder> a schema:Person ;
    schema:name "Winona Ryder"@en ;
    schema:description "Cited alongside Bobby Deol as an actor whose career was transformed by streaming's tolerance for a longer tail of outcomes."@en .

#################################################################
# Scarcity and Strategy section
#################################################################

:scarcityStrategySection a schema:CreativeWork ;
    schema:name "Scarcity and strategy"@en ;
    schema:abstract "Every generation of strategy is organized around managing what is scarce; Reshuffle argues AI is now removing scarcities around the production of usable knowledge work."@en ;
    schema:isPartOf : ;
    schema:about :reshuffleBook .

#################################################################
# Misdiagnosing scarcity section
#################################################################

:misdiagnosisSection a schema:CreativeWork ;
    schema:name "Misdiagnosing scarcity"@en ;
    schema:abstract "Knowledge work is too broad a category to analyze directly; the specific scarcity AI removes is the high cost of exploration that once forced organizations to ration which questions deserved investigation."@en ;
    schema:isPartOf : .

#################################################################
# Framework section - three directions
#################################################################

:frameworkSection a schema:CreativeWork ;
    schema:name "Three directions for where scarcity migrates"@en ;
    schema:abstract "Three candidate hypotheses, each placing the new bottleneck at a different point in the knowledge-work-production system."@en ;
    schema:isPartOf : ;
    schema:hasPart :direction1, :direction2, :direction3 .

:direction1 a :ScarcityMigrationDirection ;
    schema:name "Direction 1: Judgment becomes more valuable because selection becomes the bottleneck"@en ;
    schema:position 1 ;
    schema:abstract "If AI can generate 100 plausible strategies instead of five, value moves from producing options to deciding which deserve belief and commitment."@en ;
    :migratesScarcityTo "The ability to distinguish signal from seemingly plausible noise"@en ;
    :counterArgument "If AI can generate alternatives it can also rank, criticize, and adversarially test them, so this may be a temporary inefficiency rather than a permanent human bottleneck"@en ;
    schema:isPartOf :frameworkSection .

:direction2 a :ScarcityMigrationDirection ;
    schema:name "Direction 2: Judgment becomes less important because experimentation replaces prediction"@en ;
    schema:position 2 ;
    schema:abstract "As exploration becomes cheap, organizations can postpone judgment, generate many possibilities, test them cheaply, and progressively allocate resources toward those that survive."@en ;
    :migratesScarcityTo "The organization's ability to structure the cheapest and fastest learning process for discovering what is right"@en ;
    :counterArgument "Much of business cannot simply be A/B tested - acquisitions, reputation, restructurings, and geopolitical bets often involve irreversible commitments"@en ;
    schema:isPartOf :frameworkSection .

:direction3 a :ScarcityMigrationDirection ;
    schema:name "Direction 3: The real scarcity becomes framing because abundance expands the search space faster than navigation ability"@en ;
    schema:position 3 ;
    schema:abstract "Cheap exploration can make the search space explode; when five thousand hypotheses can be generated, the problem becomes defining which possibilities belong in the search space at all."@en ;
    :migratesScarcityTo "The capability to construct the framework within which answers are generated - defining the problem, the variables, and the outcomes being optimized"@en ;
    schema:isPartOf :frameworkSection .

#################################################################
# Resolution section - the learning architecture
#################################################################

:resolutionSection a schema:CreativeWork ;
    schema:name "The scarce asset is the learning architecture"@en ;
    schema:abstract "The three directions are not contradictory; none of framing, generation, or judgment is independently the new source of advantage. The scarce capability is the architecture that connects them."@en ;
    schema:isPartOf : ;
    schema:hasPart :learningArchitectureThesis .

:learningArchitectureThesis a schema:CreativeWork ;
    schema:name "A superior learning architecture spanning possibility to evidence to commitment"@en ;
    schema:abstract "Competitive advantage comes from a system that frames the right search space, generates many possibilities, cheaply eliminates weak ones, tests promising ones against reality, commits selectively, and feeds results back into the next round of search."@en ;
    schema:isPartOf :resolutionSection .

#################################################################
# HowTo - building an AI-native learning architecture
#################################################################

:howtoSection a schema:HowTo ;
    schema:name "Building an AI-native learning architecture"@en ;
    schema:description "The sequence an AI-native organization needs to run in order to convert cheap exploration into durable competitive advantage."@en ;
    schema:isPartOf : ;
    schema:step :step1, :step2, :step3, :step4, :step5, :step6 .

:step1 a schema:HowToStep ;
    schema:name "Frame the right search space"@en ;
    schema:position 1 ;
    schema:itemListElement "Decide what problem is actually being solved, which variables belong in the model, which causal relationships matter, and which constraints are real versus inherited from the old system."@en ;
    schema:isPartOf :howtoSection .

:step2 a schema:HowToStep ;
    schema:name "Generate many possibilities within that space"@en ;
    schema:position 2 ;
    schema:itemListElement "Use AI to generate, simulate, and recombine a much larger number of candidate explanations and courses of action than expert time alone could produce."@en ;
    schema:isPartOf :howtoSection .

:step3 a schema:HowToStep ;
    schema:name "Cheaply eliminate weak possibilities"@en ;
    schema:position 3 ;
    schema:itemListElement "Rank, criticize, and run adversarial checks on generated options before committing significant resources to any one of them."@en ;
    schema:isPartOf :howtoSection .

:step4 a schema:HowToStep ;
    schema:name "Test promising possibilities against reality"@en ;
    schema:position 4 ;
    schema:itemListElement "Compare surviving options against evidence and observed behavior, learning which recommendations actually worked."@en ;
    schema:isPartOf :howtoSection .

:step5 a schema:HowToStep ;
    schema:name "Determine where irreversible commitment is justified"@en ;
    schema:position 5 ;
    schema:itemListElement "Identify the points where experimentation can no longer reduce uncertainty and a genuine, irreversible strategic bet must be made."@en ;
    schema:isPartOf :howtoSection .

:step6 a schema:HowToStep ;
    schema:name "Feed results back into the next round of search"@en ;
    schema:position 6 ;
    schema:itemListElement "Use the outcomes of committed bets to refine the framing and possibility set for the next cycle, compounding the learning architecture over time."@en ;
    schema:isPartOf :howtoSection .

#################################################################
# FAQ
#################################################################

:faqSection a schema:FAQPage ;
    schema:isPartOf : ;
    schema:mainEntity :q1, :q2, :q3, :q4, :q5, :q6, :q7, :q8, :q9, :q10, :q11, :q12, :q13, :q14 .

:q1 a schema:Question ;
    schema:name "What is the central argument of the article?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a1 .
:a1 a schema:Answer ;
    schema:text "Technological disruptions are misread because people ask how the new technology improves the existing game rather than asking what becomes scarce once the old bottleneck disappears; strategy is organized around scarcity, so a technology that changes what is scarce changes where power and value accumulate."@en .

:q2 a schema:Question ;
    schema:name "What did Hollywood get wrong about streaming?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a2 .
:a2 a schema:Answer ;
    schema:text "Hollywood read streaming merely as a new distribution channel for the same old product, missing that it removed the scarcity of the broadcast schedule itself, which changed the game."@en .

:q3 a schema:Question ;
    schema:name "What scarcity did streaming actually remove?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a3 .
:a3 a schema:Answer ;
    schema:text "Not the scarcity of content access, but the scarcity of the prime-time programming slot - the fixed grid of a handful of scarce broadcast slots each day."@en .

:q4 a schema:Question ;
    schema:name "How did removing prime-time slot scarcity change the TV industry?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a4 .
:a4 a schema:Answer ;
    schema:text "It changed which projects were economically viable (narrower genres, serialized storytelling), which actors had bargaining power, how portfolios were managed (portfolio experimentation over ex ante editorial allocation), and how talent's power relative to platforms shifted."@en .

:q5 a schema:Question ;
    schema:name "What is Sangeet Paul Choudary's book Reshuffle about?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a5 .
:a5 a schema:Answer ;
    schema:text "Reshuffle: Who wins when AI restacks the knowledge economy argues that AI is removing scarcities around the production of usable knowledge work, and examines who gains advantage as the knowledge economy restructures."@en .

:q6 a schema:Question ;
    schema:name "What specific scarcity is AI removing according to the article?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a6 .
:a6 a schema:Answer ;
    schema:text "The high cost of exploration - the scarce expert time that once forced organizations to ration which questions deserved investigation before they knew which would prove valuable."@en .

:q7 a schema:Question ;
    schema:name "What is Direction 1 in the article's framework?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a7 .
:a7 a schema:Answer ;
    schema:text "Judgment becomes more valuable because selection becomes the bottleneck: if AI generates many plausible strategies, the strategist's value shifts to deciding which ones deserve belief and commitment."@en .

:q8 a schema:Question ;
    schema:name "What is Direction 2 in the article's framework?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a8 .
:a8 a schema:Answer ;
    schema:text "Judgment becomes less important because experimentation replaces prediction: as exploration becomes cheap, organizations can postpone judgment, test many options, and let survival data do the selecting."@en .

:q9 a schema:Question ;
    schema:name "What is Direction 3 in the article's framework?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a9 .
:a9 a schema:Answer ;
    schema:text "The real scarcity becomes framing: because abundance can expand the search space faster than the ability to navigate it, the scarce capability moves upstream to constructing the framework within which answers are generated."@en .

:q10 a schema:Question ;
    schema:name "How does the article resolve the apparent contradiction between the three directions?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a10 .
:a10 a schema:Answer ;
    schema:text "None of framing, generation, or judgment is independently the new source of advantage; the scarce capability is the learning architecture that connects them - spanning possibility to evidence to commitment."@en .

:q11 a schema:Question ;
    schema:name "What does the article mean by 'usable knowledge work'?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a11 .
:a11 a schema:Answer ;
    schema:text "A deliberately narrower phrase than 'intelligence' - the article treats raw intelligence as a distraction unless it delivers usable knowledge work that organizations can actually act on."@en .

:q12 a schema:Question ;
    schema:name "What mistake are companies making with AI today, according to the article?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a12 .
:a12 a schema:Answer ;
    schema:text "Many companies treat AI as a productivity layer for the existing firm - the same mistake Hollywood made with streaming - while missing that the real game shifts elsewhere."@en .

:q13 a schema:Question ;
    schema:name "Why is judgment's future value contested in the article?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a13 .
:a13 a schema:Answer ;
    schema:text "Because if AI can generate alternatives, it can also rank, criticize, run adversarial checks on, and learn from them - so a bet on permanent human judgment as the bottleneck may just be a temporary inefficiency arbitrage."@en .

:q14 a schema:Question ;
    schema:name "What should an AI-native organization actually do, per the article?"@en ;
    schema:isPartOf :faqSection ;
    schema:acceptedAnswer :a14 .
:a14 a schema:Answer ;
    schema:text "Frame the right search space, generate many possibilities within it, cheaply eliminate weak ones, test the promising ones against reality, determine where irreversible commitment is justified, and feed results back into the next round of search."@en .

#################################################################
# Glossary
#################################################################

:glossarySection a schema:DefinedTermSet ;
    schema:name "Scarcity and Strategy Glossary"@en ;
    schema:isPartOf : ;
    schema:hasDefinedTerm <http://dbpedia.org/resource/Scarcity>, :usableKnowledgeWork, :learningArchitecture,
        :primeTimeSlot, :editorialCapitalAllocation, :portfolioExperimentation, :inefficiencyArbitrage,
        :aiNativeOrganization, :searchSpace, :scarcityMigration, :framingCapability, :costOfExploration .

<http://dbpedia.org/resource/Scarcity> a schema:DefinedTerm ;
    schema:name "Scarcity"@en ;
    schema:description "The economic condition of limited availability relative to demand; the article treats every era of strategy as organized around managing whatever resource is currently scarce."@en ;
    schema:isPartOf :glossarySection .

:usableKnowledgeWork a schema:DefinedTerm ;
    schema:name "Usable knowledge work"@en ;
    schema:description "Knowledge work that is actually actionable and deliverable, as distinct from raw 'intelligence' - the article's deliberately narrower unit of analysis for what AI makes abundant."@en ;
    schema:isPartOf :glossarySection .

:learningArchitecture a schema:DefinedTerm ;
    schema:name "Learning architecture"@en ;
    schema:description "The system spanning possibility to evidence to commitment - framing a search space, generating options, eliminating weak ones, testing survivors, and committing selectively - identified as the true scarce capability."@en ;
    schema:isPartOf :glossarySection .

:primeTimeSlot a schema:DefinedTerm ;
    schema:name "Prime-time slot"@en ;
    schema:description "A scarce broadcast television scheduling position that forced programmers to exercise judgment under severe capacity constraints before streaming removed the fixed grid."@en ;
    schema:isPartOf :glossarySection .

:editorialCapitalAllocation a schema:DefinedTerm ;
    schema:name "Editorial capital allocation"@en ;
    schema:description "The broadcast-era practice of deciding ex ante which few programs deserved scarce airtime, before a platform could observe actual audience behavior."@en ;
    schema:isPartOf :glossarySection .

:portfolioExperimentation a schema:DefinedTerm ;
    schema:name "Portfolio experimentation"@en ;
    schema:description "The streaming-era practice of commissioning a much larger content portfolio and learning from actual audience behavior rather than picking winners in advance."@en ;
    schema:isPartOf :glossarySection .

:inefficiencyArbitrage a schema:DefinedTerm ;
    schema:name "Inefficiency arbitrage"@en ;
    schema:description "Betting on a capability gap that is actually temporary rather than structural - the article compares organizations banking on permanent human judgment to prompt engineers in 2024."@en ;
    schema:isPartOf :glossarySection .

:aiNativeOrganization a schema:DefinedTerm ;
    schema:name "AI-native organization"@en ;
    schema:description "An organization built to frame search spaces, generate possibilities, eliminate weak options cheaply, test survivors against reality, and commit selectively as a repeating cycle."@en ;
    schema:isPartOf :glossarySection .

:searchSpace a schema:DefinedTerm ;
    schema:name "Search space"@en ;
    schema:description "The set of possibilities considered worth generating and evaluating; the article argues abundance can expand this space faster than an organization's ability to navigate it."@en ;
    schema:isPartOf :glossarySection .

:scarcityMigration a schema:DefinedTerm ;
    schema:name "Scarcity migration"@en ;
    schema:description "The process by which the bottleneck that defines competitive advantage relocates to a different point in a system once a prior constraint is removed by new technology."@en ;
    schema:isPartOf :glossarySection .

:framingCapability a schema:DefinedTerm ;
    schema:name "Framing capability"@en ;
    schema:description "The capacity to define which problem is being solved, which variables belong in the model, and which outcomes are being optimized for - identified in Direction 3 as a candidate new bottleneck."@en ;
    schema:isPartOf :glossarySection .

:costOfExploration a schema:DefinedTerm ;
    schema:name "Cost of exploration"@en ;
    schema:description "The expense of investigating a hypothesis or course of action; historically high enough that organizations had to ration which questions deserved investigation before knowing which would prove valuable."@en ;
    schema:isPartOf :glossarySection .

#################################################################
# Inverse relationships
#################################################################

:streamingAnalogySection schema:hasPart :primeTimeSlotScarcity, <http://dbpedia.org/resource/Netflix>, <http://dbpedia.org/resource/Squid_Game>,
    <http://dbpedia.org/resource/Bobby_Deol>, <http://dbpedia.org/resource/Winona_Ryder> .
:primeTimeSlotScarcity schema:isPartOf :streamingAnalogySection .
:scarcityStrategySection schema:isPartOf : .
:misdiagnosisSection schema:isPartOf : .
:frameworkSection schema:isPartOf : ;
    schema:hasPart :direction1, :direction2, :direction3 .
:resolutionSection schema:isPartOf : ;
    schema:hasPart :learningArchitectureThesis .
:howtoSection schema:isPartOf : .
:faqSection schema:isPartOf : .
:glossarySection schema:isPartOf : .
: schema:hasPart :publication .
:publication schema:isPartOf : .
