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Philip Corner: Overview, Related Topics & Entities

Philip Corner (* 10. dubna 1933 New York) je americký hudební skladatel, teoretik, klavírista a pozounista. V roce 1955 vystudoval City College of New York a o čtyři roky později pak Columbia University, kde studoval mimo jiné u skladatele Henryho Cowella. Několik let spolupracoval s Johnem Cagem a od roku 1961 byl členem hnutí Fluxus.

Language: Czech [CS]
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Philip Corner topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Philip Corner.

Related topics
12
Source areas
1
Connected nodes
16
Extracted relationships
8
Concept neighborhoods
13
Bridge connections
16

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 · 12 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.

Jinak zvaný
Phil Corner
Narození
10. dubna 1933 (93 let) New York CIty, New York, USA
Nástroje
klavír, pozoun
Povolání
hudebník, hudební skladatel, hudební teoretik
Rodné jméno
Philip Lionel Corner
Žánry
klasická hudba

Explore all related topics Closing gaps

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.

Overview

Externí odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Philip Corner connects Entity context

The extracted context around Philip Corner shows recurring relationship patterns in the source. For example, Philip Corner → AllmusicPhilip Corner, Internet Movie Database Another extracted example is Philip Corner → Phil Corner. Use these groups to spot repeated connection types before inspecting the individual relationships.

Philip Corner

Top relations

related to Externí odkazy · 2
Philip Corner → AllmusicPhilip Corner, Internet Movie Database
Jinak zvaný · 1
Philip Corner → Phil Corner
Narození · 1
Philip Corner → 10. dubna 1933 (93 let) New York CIty, New York, USA
Nástroje · 1
Philip Corner → klavír, pozoun
Povolání · 1
Philip Corner → hudebník, hudební skladatel, hudební teoretik
Rodné jméno · 1
Philip Corner → Philip Lionel Corner
Žánry · 1
Philip Corner → klasická hudba

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

new york 10 dubna city philip corner 1933 teoretik usa hudební skladatel let datové položky klavírista pozounista fluxus americký roce

Philip Corner relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Philip Corner. Examples in this analysis include Philip Corner → Jinak zvaný → Phil Corner and Philip Corner → Narození → 10. dubna 1933 (93 let) New York CIty, New York, USA. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Philip CornerJinak zvanýPhil Corner1.00infobox
Philip CornerNarození10. dubna 1933 (93 let) New York CIty, New York, USA1.00infobox
Philip CornerNástrojeklavír, pozoun1.00infobox
Philip CornerPovoláníhudebník, hudební skladatel, hudební teoretik1.00infobox
Philip CornerRodné jménoPhilip Lionel Corner1.00infobox
Philip CornerŽánryklasická hudba1.00infobox
Philip Cornerrelated to Externí odkazyAllmusicPhilip Corner0.60section
Philip Cornerrelated to Externí odkazyInternet Movie Database0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Philip Corner bring nearby vocabulary together. In this analysis, examples include Dubna, Hudební and Philip. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • new york
    • York
    • City
    • Hudební
    • Philip
    • Skladatel
    • Teoretik
    • Americký
    • College
    • Columbia
    • Klavírista
    • Mimo
    • Of
  • city college of new york
    • Columbia
    • Cowella
    • Henryho
    • Mimo
    • Of
    • Pak
    • Později
    • Roce
    • Roky
    • Skladatele
    • Studoval
    • University
  • Philip Corner
    • Dubna
    • Hudební
    • Philip
    • Skladatel
    • Teoretik
    • New
    • York
    • Americký
    • Datové
    • Klavírista
    • Položky
    • Pozounista
  • philip corner
    • Dubna
    • Hudební
    • Philip
    • Skladatel
    • Teoretik
    • New
    • York
    • Americký
    • Datové
    • Klavírista
    • Položky
    • Pozounista
  • columbia university
    • Cowella
    • Henryho
    • Mimo
    • Of
    • Pak
    • Později
    • Roce
    • Roky
    • Skladatele
    • Studoval
    • University
    • Vystudoval
  • henryho cowella
    • Cowella
    • Henryho
    • Mimo
    • Of
    • Pak
    • Později
    • Roce
    • Roky
    • Skladatele
    • Studoval
    • University
    • Vystudoval
  • 10. dubna
    • Hudební
    • Philip
    • Skladatel
    • Teoretik
    • New
    • York
    • Americký
    • Datové
    • Klavírista
    • Položky
    • Pozounista
    • Usa
  • hudební skladatel
    • Philip
    • Skladatel
    • Teoretik
    • New
    • York
    • Datové
    • Klavírista
    • Položky
    • Pozounista
    • Usa
    • City
    • Let

Connections between topic areas Semantic bridges

For Philip Corner, one of the stronger structural bridges in this analysis connects Philip Corner 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.

Min side: 3
Philip Corner — Overview · splits 4 ⟂ 13
Philip Corner — Externí odkazy · splits 14 ⟂ 3

Map overview Semantic statistics

Philip Corner

Nodes17
Edges16
Triples8
Avg. degree1.88
Density0.117647
Components1

Source & methodology

TTTA analyzes the structure around Philip Corner to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Philip Corner · CS edition · Analysis: TopicsToTalkAbout

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