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OpenVRML: Overview, Related Topics & Entities

OpenVRML is a free and open-source software project that makes it possible to view three-dimensional objects in the VRML and X3D formats in Internet-based applications. The software was initially developed by Chris Morley; since 2000 the project has been led by Braden McDaniel.

Language: English [EN]
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OpenVRML topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around OpenVRML.

Related topics
17
Source areas
1
Connected nodes
18
Extracted relationships
9
Related term clusters
15
Bridge connections
18

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 · 17 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.

Developer
Braden McDaniel
License
GNU Lesser General Public License
Operating system
Linux, FreeBSD, Mac OS X
Original author
Chris Morley
Stable release
0.18.6
Type
VRML, X3D

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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

For the semantics nerds

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

Advanced semantic analysis

How OpenVRML connects Entity context

The extracted context around OpenVRML shows recurring relationship patterns in the source. For example, OpenVRML → Braden McDaniel Another extracted example is OpenVRML → GNU Lesser General Public License. Use these groups to spot repeated connection types before inspecting the individual relationships.

OpenVRML

Top relations

Developer · 1
OpenVRML → Braden McDaniel
License · 1
OpenVRML → GNU Lesser General Public License
Operating system · 1
OpenVRML → Linux, FreeBSD, Mac OS X
Original author · 1
OpenVRML → Chris Morley
Stable release · 1
OpenVRML → 0.18.6
Type · 1
OpenVRML → VRML, X3D
Website · 1
OpenVRML → http://www.openvrml.org
Written in · 1
OpenVRML → C++
is a · 1
OpenVRML → free and open-source software project that makes it possible to view three-dimensional objects in the VRML and X3D formats in Internet-based applications

Important terminology

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

Important terminology

vrml software x3d gnu project applications linux freebsd source compiler chris morley braden mcdaniel lesser general public license mac os

OpenVRML relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around OpenVRML. Examples in this analysis include OpenVRML → Developer → Braden McDaniel and OpenVRML → License → GNU Lesser General Public License. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
OpenVRMLDeveloperBraden McDaniel1.00infobox
OpenVRMLLicenseGNU Lesser General Public License1.00infobox
OpenVRMLOperating systemLinux, FreeBSD, Mac OS X1.00infobox
OpenVRMLOriginal authorChris Morley1.00infobox
OpenVRMLStable release0.18.61.00infobox
OpenVRMLTypeVRML, X3D1.00infobox
OpenVRMLWebsitehttp://www.openvrml.org1.00infobox
OpenVRMLWritten inC++1.00infobox
OpenVRMLis afree and open-source software project that makes it possible to view three-dimensional objects in the VRML and X3D formats in Internet-based applications0.90text

Related concept clusters Related term clusters

The concept neighborhoods around OpenVRML bring nearby vocabulary together. In this analysis, examples include X3d, Vrml and Formats. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • OpenVRML
    • X3d
    • Vrml
    • Formats
    • Internet-based
    • Makes
    • Objects
    • Possible
    • Three-dimensional
    • View
    • Website
    • Braden
    • Chris
  • openvrml
    • X3d
    • Vrml
    • Formats
    • Internet-based
    • Makes
    • Objects
    • Possible
    • Three-dimensional
    • View
    • Website
    • Braden
    • Chris
  • free and open-source software
    • Formats
    • Internet-based
    • Makes
    • Objects
    • Open-source
    • Possible
    • Three-dimensional
    • View
    • Applications
    • Gnu
    • Openvrml
    • Project
  • x3d
    • Vrml
    • Openvrml
    • Applications
    • Formats
    • Free
    • Internet-based
    • Makes
    • Objects
    • Open-source
    • Possible
    • Three-dimensional
    • View
  • gnu lesser general public license
    • General
    • Lesser
    • License
    • Public
    • Gnu
    • Posix
    • Website
    • Compiler
    • Freebsd
    • Linux
    • Mac
    • Mcdaniel
  • gnu
    • General
    • Lesser
    • License
    • Public
    • Posix
    • Software
    • Vrml
    • Website
    • Compiler
    • Freebsd
    • Linux
    • Mac
  • gnu octave
    • General
    • Lesser
    • License
    • Public
    • Posix
    • Software
    • Vrml
    • Website
    • Compiler
    • Freebsd
    • Linux
    • Mac
  • freebsd
    • Linux
    • Mac
    • Os
    • Fink
    • Website
    • General
    • Lesser
    • License
    • Mcdaniel
    • Morley
    • Public
    • Gnu

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

OpenVRML

Nodes19
Edges18
Triples9
Avg. degree1.89
Density0.105263
Components1

Source & methodology

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

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

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