Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Guide (hypertext)

Guide was a hypertext system developed by Peter J. Brown at the University of Kent in 1982. The original Guide implementation was for Three Rivers PERQ workstations running Unix. The Guide system became the third hypertext system to be sold commercially, marketed by Office Workstations Ltd (OWL) in 1984 and later by InfoAccess. It won Brown the British…

Overview, Related Topics & Entities

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Guide (hypertext). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

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.

Map overview Semantic statistics

Guide (hypertext)

Nodes20
Edges19
Triples0
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

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

Important terminology

guide owl hypertext system destination hypercard document link node replaced university kent workstations apple brown 1988 according graphical september macintosh

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.