Research any topic before you write.

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

Greenstone (software)

Greenstone is a suite of software tools for building and distributing digital library collections on the Internet or CD-ROM. It is open-source, multilingual software, issued under the terms of the GNU General Public License. Greenstone is produced by the New Zealand Digital Library Project at the University of Waikato, and has been developed and…

Technology & Overview

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 Greenstone (software). 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
University of Waikato
Greenstone2
2.87 / October 1, 2017; 8 years ago (2017-10-01)
Greenstone3
Greenstone33.10 / February 28, 2021; 5 years ago (2021-02-28)Greenstone22.87 / October 1, 2017; 8 years ago (2017-10-01) · 3.10 / February 28, 2021; 5 years ago (2021-02-28)
License
GPL
Operating system
Cross-platform
Repository
trac.greenstone.org/browser/main/trunk/greenstone3

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

Greenstone (software)

Nodes13
Edges12
Triples9
Avg. degree1.85
Density0.153846
Components1

How this topic connects Entity context

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

Greenstone (software)

Top relations

Greenstone3 · 2
Greenstone (software) → 3.10 / February 28, 2021; 5 years ago (2021-02-28), Greenstone33.10 / February 28, 2021; 5 years ago (2021-02-28)Greenstone22.87 / October 1, 2017; 8 years ago (2017-10-01)
Developer · 1
Greenstone (software) → University of Waikato
Greenstone2 · 1
Greenstone (software) → 2.87 / October 1, 2017; 8 years ago (2017-10-01)
License · 1
Greenstone (software) → GPL
Operating system · 1
Greenstone (software) → Cross-platform
Repository · 1
Greenstone (software) → trac.greenstone.org/browser/main/trunk/greenstone3
Type · 1
Greenstone (software) → Digital libraries
Website · 1
Greenstone (software) → www.greenstone.org

Important terminology Word statistics

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

Important terminology

digital greenstone library software collections documents libraries building information 2005 text new international 2004 technology tools project used html pdf

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Greenstone (software)DeveloperUniversity of Waikato1.00infobox
Greenstone (software)Greenstone22.87 / October 1, 2017; 8 years ago (2017-10-01)1.00infobox
Greenstone (software)Greenstone3Greenstone33.10 / February 28, 2021; 5 years ago (2021-02-28)Greenstone22.87 / October 1, 2017; 8 years ago (2017-10-01)1.00infobox
Greenstone (software)Greenstone33.10 / February 28, 2021; 5 years ago (2021-02-28)1.00infobox
Greenstone (software)LicenseGPL1.00infobox
Greenstone (software)Operating systemCross-platform1.00infobox
Greenstone (software)Repositorytrac.greenstone.org/browser/main/trunk/greenstone31.00infobox
Greenstone (software)TypeDigital libraries1.00infobox
Greenstone (software)Websitewww.greenstone.org1.00infobox

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.