Automation

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

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Automation topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Automation.

Related topics: 300
Source areas: 9
Connected nodes: 311
Extracted relationships: 115
Related term clusters: 85
Bridge connections: 311

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.

History · 75 topics

Recent and emerging applications · 54 topics

Overview · 52 topics

Advantages, disadvantages, and limitations · 41 topics

Control · 28 topics

Automation tools · 17 topics

Cognitive automation · 14 topics

Convertibility and turnaround time · 11 topics

Health and environment · 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Automation

9Mechanical system · Hydraulic · Pneumatic

6Control loop · Negative feedback · Control theory

11Control system · Machinery · Factories

9World Bank · World Development Report · Technological unemployment

6Manufacturing · Quality control · Material handling

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.

History

Health and environment

Convertibility and turnaround time

Automation tools

Cognitive automation

Recent and emerging applications

Sources

Free content

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Automation connects Entity context

The extracted context around Automation shows recurring relationship patterns in the source. For example, Automation → AI, Americans, Arizona, Chandler, English, Increased, Industrial Revolution, Luddites, Pew Research Center, Swedes Another extracted example is Automation → Another, Automated Guided Vehicles, Digital, Flexibility, Former, Manufacturers, Natural Features Navigation, Product. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

has impact · 10

Automation → AI, Americans, Arizona, Chandler, English, Increased, Industrial Revolution, Luddites, Pew Research Center, Swedes

related to Convertibility and turnaround time · 8

Automation → Another, Automated Guided Vehicles, Digital, Flexibility, Former, Manufacturers, Natural Features Navigation, Product

related to Highway systems · 8

Automation → Act, Automated, Congress, Full, Fully, Intermodal Surface Transportation Efficiency, ISTEA, Seeking

related to Retail · 8

Automation → Amazon, Americans, Eurasia Group, Globally, Kiva Systems, Many, Online, United States

related to Business process · 7

Automation → AI, BPA, BPAs, Business, Robotic, RPA, RPAAI

related to Advantages, disadvantages, and limitations · 5

Automation → Additionally, Another, Initial, Moreover, Perhaps

related to Agricultural production · 5

Automation → Agricultural, Increased, Many, Motorized, Precision

related to Cognitive automation · 4

Automation → According, AI, Cognitive, Deloitte

related to Food and drink · 4

Automation → Austin, McDonald's, Texas, The University

related to Health and environment · 4

Automation → Despite, Earth, Hazardous, Removal

Important terminology

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

Important terminology

control automated systems industrial system manufacturing processes process used human use also logic controllers could automatic many robots using example

Automation relationships Subject–Predicate–Object triples

TTTA extracted 115 structured relationships around Automation. Examples in this analysis include Automation → is a → increased demand for flexibility and convertibility in manufacturing processes and Automation → is a → application of computer software or automated machinery to improve the efficiency of logistics operations. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Automation	is a	increased demand for flexibility and convertibility in manufacturing processes	0.90	text
Automation	is a	application of computer software or automated machinery to improve the efficiency of logistics operations	0.90	text
machinery	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
processes in factories	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
boilers	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
and heat-treating ovens	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
switching on telephone networks	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
steering	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
stabilization of ships	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
aircraft	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
other applications	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text
vehicles with reduced human intervention	instance of	and precision.Automation includes the use of various equipment and control systems	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Automation bring nearby vocabulary together. In this analysis, examples include Industrial, Human and Manufacturing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

control systems
- Control
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Controller
- Controllers
- Logic
- Using
- Use
control loop
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Controller
- Controllers
- Logic
- Using
- Used
- Automatic
control theory
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Developed
- Controller
- Controllers
- Logic
- Using
- Used
programmable logic controllers
- Logic
- Relays
- Process
- Digital
- System
- Industrial
- Manufacturing
- Systems
- Many
- Using
- Example
- Various
speed control
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Controller
- Controllers
- Logic
- Using
- Used
- Automatic
fire control systems
- Control
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Controller
- Controllers
- Logic
- Using
- Use
navigation systems
- Control
- Industrial
- Process
- Controllers
- Logic
- Use
- Theory
- Automated
- Automatic
- Also
- Various
- Used
ship control
- Systems
- Process
- System
- Theory
- Industrial
- Feedback
- Controller
- Controllers
- Logic
- Using
- Used
- Automatic

Connections between topic areas Semantic bridges

For Automation, one of the stronger structural bridges in this analysis connects Automation with History. 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

Automation — History · splits 236 ⟂ 76

Automation — Recent and emerging applications · splits 257 ⟂ 55

Automation — Overview · splits 259 ⟂ 53

Automation — Advantages, disadvantages, and limitations · splits 270 ⟂ 42

Automation — Control · splits 283 ⟂ 29

Automation — Automation tools · splits 294 ⟂ 18

Automation — Cognitive automation · splits 297 ⟂ 15

Automation — Convertibility and turnaround time · splits 300 ⟂ 12

Automation — Health and environment · splits 303 ⟂ 9

Map overview Semantic statistics

Automation

Nodes312

Edges311

Triples115

Avg. degree1.99

Density0.00641

Components1

Source & methodology

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

Source: Wikipedia — Automation · EN edition · Analysis: TopicsToTalkAbout

Automation: History & Applications

Automation topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Advantages, disadvantages, and limitations

Health and environment

Convertibility and turnaround time

Automation tools

Cognitive automation

Recent and emerging applications

Control

Sources

For the semantics nerds

Advanced semantic analysis

How Automation connects Entity context

Automation

Top relations

Important terminology

Important terminology

Automation relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Automation

Source & methodology