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JDOM: Products & Overview

JDOM is an open-source Java-based document object model for XML that was designed specifically for the Java platform so that it can take advantage of its language features. JDOM integrates with Document Object Model (DOM) and Simple API for XML (SAX), supports XPath and XSLT. It uses external parsers to build documents. JDOM was developed by Jason Hunter…

Language: English [EN]
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JDOM topic overview

The analysis highlights Products and Overview as prominent areas in the source structure around JDOM.

Related topics
9
Source areas
1
Connected nodes
10
Extracted relationships
12
Related term clusters
11
Bridge connections
10

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 · 9 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
Similar to Apache License
Operating system
Cross-platform
Repository
github.com/hunterhacker/jdom
Stable release
2.0.6.1 / December 9, 2021 (2021-12-09)
Type
XML binding
Written in
Java

Start with your topic. Discover where to go next.

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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 JDOM connects Entity context

The extracted context around JDOM shows recurring relationship patterns in the source. For example, JDOM → Java, One, Suppose, XML Another extracted example is JDOM → Similar to Apache License. Use these groups to spot repeated connection types before inspecting the individual relationships.

JDOM

Top relations

related to Examples · 4
JDOM → Java, One, Suppose, XML
License · 1
JDOM → Similar to Apache License
Operating system · 1
JDOM → Cross-platform
Repository · 1
JDOM → github.com/hunterhacker/jdom
Stable release · 1
JDOM → 2.0.6.1 / December 9, 2021 (2021-12-09)
Type · 1
JDOM → XML binding
Website · 1
JDOM → jdom.org
Written in · 1
JDOM → Java
is a · 1
JDOM → open-source Java-based document object model for XML that was designed specifically for the Java platform so that it can take advantage of its language features

Important terminology

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

Important terminology

xml java document object model external website open-source xpath xslt file one tree java-based designed specifically platform take advantage language

JDOM relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around JDOM. Examples in this analysis include JDOM → License → Similar to Apache License and JDOM → Operating system → Cross-platform. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
JDOMLicenseSimilar to Apache License1.00infobox
JDOMOperating systemCross-platform1.00infobox
JDOMRepositorygithub.com/hunterhacker/jdom1.00infobox
JDOMStable release2.0.6.1 / December 9, 2021 (2021-12-09)1.00infobox
JDOMTypeXML binding1.00infobox
JDOMWebsitejdom.org1.00infobox
JDOMWritten inJava1.00infobox
JDOMis aopen-source Java-based document object model for XML that was designed specifically for the Java platform so that it can take advantage of its language features0.90text
JDOMrelated to ExamplesSuppose0.60section
JDOMrelated to ExamplesXML0.60section
JDOMrelated to ExamplesOne0.60section
JDOMrelated to ExamplesJava0.60section

Related concept clusters Related term clusters

The concept neighborhoods around JDOM bring nearby vocabulary together. In this analysis, examples include Document, Object and Xml. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • JDOM
    • Document
    • Object
    • Xml
    • Model
    • Java
    • Advantage
    • Designed
    • Dom
    • Features
    • Integrates
    • Java-based
    • Language
  • jdom
    • Document
    • Object
    • Xml
    • Model
    • Java
    • Advantage
    • Designed
    • Dom
    • Features
    • Integrates
    • Java-based
    • Language
  • document object model
    • Object
    • Jdom
    • Xml
    • Model
    • Api
    • Dom
    • Integrates
    • Java
    • Language
    • Open-source
    • Platform
    • Sax
  • java
    • Object
    • Jdom
    • Xml
    • Advantage
    • Features
    • Java-based
    • Language
    • Open-source
    • Platform
    • Specifically
    • Take
    • External
  • java platform
    • Specifically
    • Take
    • Object
    • Jdom
    • Xml
    • Advantage
    • Features
    • Java-based
    • Language
    • Open-source
    • Platform
    • External
  • simple api for xml
    • Dom
    • Integrates
    • Sax
    • Simple
    • Supports
    • Xpath
    • Xslt
    • File
    • Model
    • One
    • Tree
    • Website
  • java community process
    • Object
    • Jdom
    • Xml
    • Advantage
    • Features
    • Java-based
    • Language
    • Open-source
    • Platform
    • Specifically
    • Take
    • External
  • xslt
    • Api
    • Dom
    • Integrates
    • Sax
    • Simple
    • Supports
    • Xpath
    • Model
    • Document
    • Object
    • Jdom
    • Xml

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

JDOM

Nodes11
Edges10
Triples12
Avg. degree1.82
Density0.181818
Components1

Source & methodology

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

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

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