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CubicWeb: Products, Functions & Overview

CubicWeb is a free and open-source semantic web application framework, licensed under the LGPL. It is written in Python.

Language: English [EN]
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CubicWeb topic overview

The analysis highlights Products, Functions and Overview as prominent areas in the source structure around CubicWeb.

Related topics
13
Source areas
2
Connected nodes
15
Extracted relationships
16
Related term clusters
8
Bridge connections
15

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 · 7 topics
Functions · 6 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.

License
GPL 2, LGPL 2.1
Operating system
Unix-like and Microsoft Windows
Original author
Logilab
Release
2001; 25 years ago (2001)
Repository
forge.extranet.logilab.fr/cubicweb/cubicweb
Stable release
4.8.0 / 21 May 2024; 2 years ago (21 May 2024)

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

Functions

For the semantics nerds

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

Advanced semantic analysis

How CubicWeb connects Entity context

The extracted context around CubicWeb shows recurring relationship patterns in the source. For example, CubicWeb → GPL 2, LGPL 2.1 Another extracted example is CubicWeb → Unix-like and Microsoft Windows. Use these groups to spot repeated connection types before inspecting the individual relationships.

CubicWeb

Top relations

License · 1
CubicWeb → GPL 2, LGPL 2.1
Operating system · 1
CubicWeb → Unix-like and Microsoft Windows
Original author · 1
CubicWeb → Logilab
Release · 1
CubicWeb → 2001; 25 years ago (2001)
Repository · 1
CubicWeb → forge.extranet.logilab.fr/cubicweb/cubicweb
Stable release · 1
CubicWeb → 4.8.0 / 21 May 2024; 2 years ago (21 May 2024)
Type · 1
CubicWeb → Semantic web framework
Website · 1
CubicWeb → www.cubicweb.org
Written in · 1
CubicWeb → Python
is a · 1
CubicWeb → free and open-source semantic web application framework

Important terminology

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

Important terminology

web semantic data july framework forge python retrieved 2016 open 2013 logilab linked free applications isbn lgpl written cubes 2011

CubicWeb relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around CubicWeb. Examples in this analysis include CubicWeb → License → GPL 2, LGPL 2.1 and CubicWeb → Operating system → Unix-like and Microsoft Windows. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CubicWebLicenseGPL 2, LGPL 2.11.00infobox
CubicWebOperating systemUnix-like and Microsoft Windows1.00infobox
CubicWebOriginal authorLogilab1.00infobox
CubicWebRelease2001; 25 years ago (2001)1.00infobox
CubicWebRepositoryforge.extranet.logilab.fr/cubicweb/cubicweb1.00infobox
CubicWebStable release4.8.0 / 21 May 2024; 2 years ago (21 May 2024)1.00infobox
CubicWebTypeSemantic web framework1.00infobox
CubicWebWebsitewww.cubicweb.org1.00infobox
CubicWebWritten inPython1.00infobox
CubicWebis afree and open-source semantic web application framework0.90text
intranetinstance ofand was initially developed by Logilab for internal uses0.80text
bug trackerinstance ofand was initially developed by Logilab for internal uses0.80text

Related concept clusters Related term clusters

The concept neighborhoods around CubicWeb bring nearby vocabulary together. In this analysis, examples include Semantic, Web and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CubicWeb
    • Semantic
    • Web
    • Data
    • Framework
    • Python
    • August
    • Lgpl
    • Logilab
    • Forge
    • Open
    • Retrieved
    • July
  • cubicweb
    • Semantic
    • Web
    • Data
    • Framework
    • Python
    • August
    • Lgpl
    • Logilab
    • Forge
    • Open
    • Retrieved
    • July
  • web application framework
    • Lgpl
    • Licensed
    • Open-source
    • Semantic
    • Forge
    • Free
    • Model
    • One
    • Python
    • Type
    • Web
    • Conference
  • linked open data
    • Web
    • Semantic
    • Open
    • Data
    • Linked
    • International
    • Model
    • Type
    • Forge
    • Framework
    • Python
    • August
  • semantic web
    • Web
    • Data
    • Python
    • Conference
    • International
    • Linked
    • Model
    • Forge
    • Open
    • Applications
    • August
    • French
  • python
    • Written
    • Semantic
    • Forge
    • Web
    • August
    • Conference
    • Data
    • French
    • Model
    • Type
    • Cubes
    • Logilab
  • free and open-source
    • Licensed
    • Intranet
    • Lgpl
    • Open-source
    • Applications
    • Logilab
    • Forge
    • Framework
    • Open
    • Semantic
    • Web
  • intranet
    • Applications
    • Logilab
    • Forge
    • Open

Connections between topic areas Semantic bridges

For CubicWeb, one of the stronger structural bridges in this analysis connects CubicWeb with Overview. 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
CubicWeb — Overview · splits 8 ⟂ 8
CubicWeb — Functions · splits 9 ⟂ 7

Map overview Semantic statistics

CubicWeb

Nodes16
Edges15
Triples16
Avg. degree1.88
Density0.125
Components1

Source & methodology

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

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

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