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OpenDJ is a directory server which implements a wide range of Lightweight Directory Access Protocol and related standards, including full compliance with LDAPv3 but also support for Directory Service Markup Language (DSMLv2). Written in Java, OpenDJ offers multi-master replication, access control, and many extensions.
The analysis highlights History, Standards and Products as prominent areas in the source structure around OpenDJ.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around OpenDJ shows recurring relationship patterns in the source. For example, OpenDJ → GitHubOpenDJ, GitHubOpenDS, Wiki Another extracted example is OpenDJ → directory server which implements a wide range of Lightweight Directory Access Protocol and related standards, main trunk developed by ForgeRock. and maintained by Open Identity Platform Community. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
opends project sun forgerock directory source oracle microsystems open server also ldap community code began access release control platform license
TTTA extracted 14 structured relationships around OpenDJ. Examples in this analysis include OpenDJ → Available in → English, French, German, Japanese, Simplified Chinese, Spanish and OpenDJ → License → CDDL. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenDJ | Available in | English, French, German, Japanese, Simplified Chinese, Spanish | 1.00 | infobox |
| OpenDJ | License | CDDL | 1.00 | infobox |
| OpenDJ | Operating system | Linux, Windows, MacOS, Solaris, AIX | 1.00 | infobox |
| OpenDJ | Platform | Java | 1.00 | infobox |
| OpenDJ | Release | December 21, 2010 (2010-12-21) | 1.00 | infobox |
| OpenDJ | Repository | github.com/OpenIdentityPlatform/OpenDJ | 1.00 | infobox |
| OpenDJ | Stable release | 4.6.3 / May 7, 2024; 2 years ago (2024-05-07) | 1.00 | infobox |
| OpenDJ | Type | Directory service | 1.00 | infobox |
| OpenDJ | Written in | Java | 1.00 | infobox |
| OpenDJ | is a | directory server which implements a wide range of Lightweight Directory Access Protocol and related standards | 0.90 | text |
| OpenDJ | is a | main trunk developed by ForgeRock. and maintained by Open Identity Platform Community | 0.90 | text |
| OpenDJ | related to External links | GitHubOpenDJ | 0.60 | section |
The concept neighborhoods around OpenDJ bring nearby vocabulary together. In this analysis, examples include Forgerock, Ldap and Release. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenDJ, one of the stronger structural bridges in this analysis connects OpenDJ 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.
TTTA analyzes the structure around OpenDJ to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Standards & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenDJ · EN edition · Analysis: TopicsToTalkAbout