Omeka

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Omeka topic overview

The analysis highlights Standards and Companies as prominent areas in the source structure around Omeka.

Related topics: 21
Source areas: 1
Connected nodes: 22
Extracted relationships: 10
Related term clusters: 15
Bridge connections: 22

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.

Overview · 21 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, et al.
Developers: Roy Rosenzweig Center for History and New Media (CHNM) at George Mason University (GMU) (2008–2016) Corporation for Digital Scholarship (2016–present)
License: GPL-3.0-or-later
Operating system: LAMP
Release: February 21, 2008 (2008-02-21)
Repository: github.com/omeka/Omeka

Start with your topic. Discover where to go next.

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

Omeka

4Roy Rosenzweig Center for History and New Media · George Mason University · Andrew Mellon Foundation

13Free software · Open-source software · Content management system

4Newberry Library · Missouri School of Journalism · Pictures of the Year International

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.

For the semantics nerds

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

Advanced semantic analysis

How Omeka connects Entity context

The extracted context around Omeka shows recurring relationship patterns in the source. For example, Omeka → English, et al. Another extracted example is Omeka → Roy Rosenzweig Center for History and New Media (CHNM) at George Mason University (GMU) (2008–2016) Corporation for Digital Scholarship (2016–present). Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Available in · 1

Omeka → English, et al.

Developers · 1

Omeka → Roy Rosenzweig Center for History and New Media (CHNM) at George Mason University (GMU) (2008–2016) Corporation for Digital Scholarship (2016–present)

License · 1

Omeka → GPL-3.0-or-later

Operating system · 1

Omeka → LAMP

Release · 1

Omeka → February 21, 2008 (2008-02-21)

Repository · 1

Omeka → github.com/omeka/Omeka

Stable release · 1

Omeka → 3.2 / 2025-08-28[±]

Type · 1

Omeka → Content Management System

Website · 1

Omeka → Omeka

Written in · 1

Omeka → PHP

Important terminology

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

Important terminology

project software digital new system sites free plugins repository classic web themes institutional focus uses used developed net version wikidata

Omeka relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Omeka. Examples in this analysis include Omeka → Available in → English, et al. and Omeka → Developers → Roy Rosenzweig Center for History and New Media (CHNM) at George Mason University (GMU) (2008–2016) Corporation for Digital Scholarship (2016–present). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Omeka	Available in	English, et al.	1.00	infobox
Omeka	Developers	Roy Rosenzweig Center for History and New Media (CHNM) at George Mason University (GMU) (2008–2016) Corporation for Digital Scholarship (2016–present)	1.00	infobox
Omeka	License	GPL-3.0-or-later	1.00	infobox
Omeka	Operating system	LAMP	1.00	infobox
Omeka	Release	February 21, 2008 (2008-02-21)	1.00	infobox
Omeka	Repository	github.com/omeka/Omeka	1.00	infobox
Omeka	Stable release	3.2 / 2025-08-28[±]	1.00	infobox
Omeka	Type	Content Management System	1.00	infobox
Omeka	Website	Omeka	1.00	infobox
Omeka	Written in	PHP	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around Omeka bring nearby vocabulary together. In this analysis, examples include Project, Digital and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Omeka
- Project
- Digital
- New
- Sites
- System
- Center
- Content
- Core
- Developed
- Dublin
- Focus
- George
omeka
- Project
- Digital
- New
- Sites
- System
- Center
- Content
- Core
- Developed
- Dublin
- Focus
- George
roy rosenzweig center for history and new media
- George
- History
- Mason
- Media
- Rosenzweig
- Roy
- University
- New
- Corporation
- Developed
- Scholarship
- Used
corporation for digital scholarship
- Scholarship
- Corporation
- Digital
- System
- Developed
- George
- History
- Mason
- Media
- Open-source
- Rosenzweig
- Roy
digital collections
- Corporation
- Scholarship
- System
- Open-source
- Omeka
- Center
- Developed
- Free
- George
- History
- Management
- Mason
institutional repository
- Website
- Core
- Dublin
- Focus
- Repository
- Uses
- Version
- Wikidata
- New
- Sites
- Software
- System
content management system
- Management
- System
- Open-source
- Website
- Core
- Dublin
- Free
- Repository
- Wikidata
- Digital
- Sites
- University
dublin core
- Core
- Dublin
- Repository
- Website
- Focus
- Institutional
- Management
- Uses
- Wikidata
- Sites
- Software
- System

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Omeka map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Omeka

Nodes23

Edges22

Triples10

Avg. degree1.91

Density0.086957

Components1

Source & methodology

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

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

Omeka: Standards & Companies

Omeka 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

For the semantics nerds

Advanced semantic analysis

How Omeka connects Entity context

Omeka

Top relations

Important terminology

Important terminology

Omeka relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Omeka

Source & methodology