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QED (text editor): Later implementations & Overview

QED (short for quick editor) is a line-oriented text editor that was developed by Butler Lampson and L. Peter Deutsch for the Berkeley Timesharing System running on the SDS 940. It was implemented by L. Peter Deutsch and Dana Angluin between 1965 and 1966.

Language: English [EN]
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QED (text editor) topic overview

The analysis highlights Later implementations and Overview as prominent areas in the source structure around QED (text editor).

Related topics
35
Source areas
2
Connected nodes
37
Extracted relationships
10
Concept neighborhoods
18
Bridge connections
37

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.

Later implementations · 27 topics
Overview · 8 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.

Available in
English
Developers
Butler Lampson, L. Peter Deutsch, Dana Angluin
Operating system
Berkeley Timesharing System
Platform
SDS 940
Release
1967, 58–59 years ago
Type
Text editor

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

Later implementations

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 QED (text editor) connects Entity context

The extracted context around QED (text editor) shows recurring relationship patterns in the source. For example, QED (text editor) → English Another extracted example is QED (text editor) → Butler Lampson, L. Peter Deutsch, Dana Angluin. Use these groups to spot repeated connection types before inspecting the individual relationships.

QED (text editor)

Top relations

Available in · 1
QED (text editor) → English
Developers · 1
QED (text editor) → Butler Lampson, L. Peter Deutsch, Dana Angluin
Operating system · 1
QED (text editor) → Berkeley Timesharing System
Platform · 1
QED (text editor) → SDS 940
Release · 1
QED (text editor) → 1967, 58–59 years ago
Type · 1
QED (text editor) → Text editor

Important terminology

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

Important terminology

qed peter deutsch editor lampson later version text system butler dana angluin teleprinter berkeley multics used implemented timesharing sds 940

QED (text editor) relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around QED (text editor). Examples in this analysis include QED (text editor) → Available in → English and QED (text editor) → Developers → Butler Lampson, L. Peter Deutsch, Dana Angluin. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
QED (text editor)Available inEnglish1.00infobox
QED (text editor)DevelopersButler Lampson, L. Peter Deutsch, Dana Angluin1.00infobox
QED (text editor)Operating systemBerkeley Timesharing System1.00infobox
QED (text editor)PlatformSDS 9401.00infobox
QED (text editor)Release1967, 58–59 years ago1.00infobox
QED (text editor)TypeText editor1.00infobox
exinstance ofsed and their descendants0.80text
saminstance ofsed and their descendants0.80text
and more distantly AWKinstance ofsed and their descendants0.80text
Perl.A version of QED named FREDinstance ofsed and their descendants0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around QED (text editor) bring nearby vocabulary together. In this analysis, examples include Berkeley, Qed and Version. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • QED (text editor)
    • Berkeley
    • Qed
    • Version
    • Deutsch
    • Peter
    • Also
    • Developers
    • Systems
    • University
    • Unix
    • Butler
    • Computer
  • qed (text editor)
    • Text
    • Data
    • Developed
    • Named
    • Nord
    • Norsk
    • Systems
    • Tss
    • Berkeley
    • Lampson
    • Qed
    • Version
  • text editor
    • Text
    • Data
    • Developed
    • Named
    • Nord
    • Norsk
    • Systems
    • Tss
    • Berkeley
    • Lampson
    • Qed
    • Deutsch
  • l. peter deutsch
    • Peter
    • Angluin
    • Berkeley
    • Dana
    • Sds
    • Timesharing
    • Lampson
    • System
    • Text
    • Editor
    • Later
    • Version
  • berkeley timesharing system
    • Sds
    • Timesharing
    • Deutsch
    • Operating
    • System
    • Text
    • Editor
    • Later
    • Peter
    • Wrote
    • Version
    • Computer
  • later implementations
    • Version
    • Computer
    • Implemented
    • Multics
    • System
    • Text
    • Bell
    • Data
    • Developers
    • Honeywell
    • Ken
    • Labs
  • butler lampson
    • Lampson
    • Text
    • Deutsch
    • Later
    • Also
    • Developed
    • Developers
    • Angluin
    • Computer
    • Dana
    • Data
    • Multics
  • dana angluin
    • Angluin
    • Dana
    • Deutsch
    • Peter
    • Ken
    • Operating
    • Sds
    • Timesharing
    • Wrote
    • Berkeley
    • Butler
    • Thompson

Connections between topic areas Semantic bridges

For QED (text editor), one of the stronger structural bridges in this analysis connects QED (text editor) with Later implementations. 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
QED (text editor) — Later implementations · splits 10 ⟂ 28
QED (text editor) — Overview · splits 29 ⟂ 9

Map overview Semantic statistics

QED (text editor)

Nodes38
Edges37
Triples10
Avg. degree1.95
Density0.052632
Components1

Source & methodology

TTTA analyzes the structure around QED (text editor) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Later implementations & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — QED (text editor) · EN edition · Analysis: TopicsToTalkAbout

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