Research any topic before you write.

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

Image map: Applications, Client-side & Server-side

In HTML and XHTML, an image map is a list of coordinates relating to a specific image, created in order to hyperlink areas of an image to different destinations (as opposed to a normal image link, in which the entire area of the image links to a single destination). For example, a map of the world may have each country hyperlinked to further information…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Image map topic overview

The analysis highlights Applications, Client-side and Server-side as prominent areas in the source structure around Image map.

Related topics
22
Source areas
5
Connected nodes
27
Extracted relationships
13
Related term clusters
16
Bridge connections
27

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.

Client-side · 10 topics
Overview · 5 topics
Server-side · 4 topics
Creation and use · 2 topics
SVG images · 1 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.

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

Server-side

Client-side

Creation and use

SVG images

For the semantics nerds

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

Advanced semantic analysis

How Image map connects Entity context

The extracted context around Image map shows recurring relationship patterns in the source. For example, Image map → Client-side, HTML, JavaScript Another extracted example is Image map → CSS, HTML, This CSS. Use these groups to spot repeated connection types before inspecting the individual relationships.

Image map

Top relations

related to Client-side · 3
Image map → Client-side, HTML, JavaScript
related to CSS · 3
Image map → CSS, HTML, This CSS
related to Server-side · 3
Image map → Mosaic, Server-side, The HTML
related to SVG images · 2
Image map → Scalable Vector Graphics, SVG
is a · 1
Image map → list of coordinates relating to a specific image
related to Creation and use · 1
Image map → HTML

Important terminology

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

Important terminology

image html map maps area may web example user coordinates areas server-side client-side css browser server inside link single url

Image map relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around Image map. Examples in this analysis include Image map → is a → list of coordinates relating to a specific image and Image map → related to Client-side → Client-side. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Image mapis alist of coordinates relating to a specific image0.90text
Image maprelated to Client-sideClient-side0.60section
Image maprelated to Client-sideHTML0.60section
Image maprelated to Client-sideJavaScript0.60section
Image maprelated to Creation and useHTML0.60section
Image maprelated to CSSCSS0.60section
Image maprelated to CSSThis CSS0.60section
Image maprelated to CSSHTML0.60section
Image maprelated to Server-sideServer-side0.60section
Image maprelated to Server-sideMosaic0.60section
Image maprelated to Server-sideThe HTML0.60section
Image maprelated to SVG imagesScalable Vector Graphics0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Image map bring nearby vocabulary together. In this analysis, examples include Maps, Map and Client-side. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Image map
    • Maps
    • Map
    • Client-side
    • Inside
    • Web
    • May
    • Css
    • Requires
    • Server-side
    • Tag
    • Use
    • Browser
  • image map
    • Maps
    • Map
    • Single
    • Client-side
    • Inside
    • Web
    • May
    • Css
    • Requires
    • Server-side
    • Tag
    • Use
  • html
    • Client-side
    • Image
    • Maps
    • Pure
    • Map
    • Css
    • Requires
    • Server-side
    • Tag
    • Areas
    • Coordinates
    • Web
  • image
    • Maps
    • Map
    • Client-side
    • Web
    • Css
    • Requires
    • Server-side
    • Tag
    • Use
    • Browser
    • Server
    • User
  • mosaic (web browser)
    • Anchor
    • Clicks
    • Maps
    • Server-side
    • Url
    • Server
    • Example
    • Link
    • Requires
    • User
    • Browser
    • Client-side
  • web browser
    • Anchor
    • Clicks
    • Maps
    • Server-side
    • Url
    • Server
    • Example
    • Link
    • Requires
    • User
    • Browser
    • Client-side
  • html 3.2
    • Client-side
    • Image
    • Maps
    • Pure
    • Map
    • Css
    • Requires
    • Server-side
    • Tag
    • Areas
    • Coordinates
    • Web
  • web accessibility
    • Maps
    • Link
    • Requires
    • Server-side
    • Browser
    • Client-side
    • Image
    • Html
    • Also
    • Images
    • Information
    • Provide

Connections between topic areas Semantic bridges

For Image map, one of the stronger structural bridges in this analysis connects Image map with Client-side. 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
Image map — Client-side · splits 17 ⟂ 11
Image map — Overview · splits 22 ⟂ 6
Image map — Server-side · splits 23 ⟂ 5
Image map — Creation and use · splits 25 ⟂ 3

Map overview Semantic statistics

Image map

Nodes28
Edges27
Triples13
Avg. degree1.93
Density0.071429
Components1

Source & methodology

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

Source: Wikipedia — Image map · EN edition · Analysis: TopicsToTalkAbout

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

Monitor your Domain Rating with FrogDR