Research any topic before you write.

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

IBM Common User Access

Common User Access (CUA) is a standard for user interfaces to operating systems and computer programs. It was developed by IBM and first published in 1987 as part of their Systems Application Architecture. Used originally in the MVS/ESA, VM/CMS, OS/400, OS/2 and Microsoft Windows operating systems, parts of the CUA standard are now implemented in…

Art & Standards

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 IBM Common User Access. 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

Motivations and inspirations

Description

Influence

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

IBM Common User Access

Nodes56
Edges55
Triples27
Avg. degree1.96
Density0.035714
Components1

How this topic connects Entity context

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

IBM Common User Access

Top relations

related to References · 23
IBM Common User Access → Advanced Interface Design Guide, Advanced Interface Design Reference, Basic Interface Design Guide, Common User Access, Document SC26-4351-0, Document SC26-4582-0, Document SC26-4583-00, Document SC34-4289-00, Document SC34-4290-00, Guide, IBM, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Object-oriented, Panel Design, Partial, Que, Systems Application Architecture

Important terminology Word statistics

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

Important terminology

cua user systems ibm interface applications application windows standard programs common access used architecture also gui microsoft operating menus open

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
dialog boxesinstance ofDescriptionThe CUA contains standards for the operation of elements0.80text
menusinstance ofDescriptionThe CUA contains standards for the operation of elements0.80text
keyboard shortcuts that have become so influential that they are implemented today by many programmers who have never read the CUA.Some of these standards can be seen in the operation of Windows itselfinstance ofDescriptionThe CUA contains standards for the operation of elements0.80text
DOS-based applications like the MS-DOS 5 full-screen text editor edit.cominstance ofDescriptionThe CUA contains standards for the operation of elements0.80text
IBM Common User Accessrelated to ReferencesIBM0.60section
IBM Common User Accessrelated to ReferencesSystems Application Architecture0.60section
IBM Common User Accessrelated to ReferencesCommon User Access0.60section
IBM Common User Accessrelated to ReferencesPanel Design0.60section
IBM Common User Accessrelated to ReferencesUser Interaction0.60section
IBM Common User Accessrelated to ReferencesDocument SC26-4351-00.60section
IBM Common User Accessrelated to ReferencesAdvanced Interface Design Guide0.60section
IBM Common User Accessrelated to ReferencesDocument SC26-4582-00.60section

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.