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XBRL (Extensible Business Reporting Language) is a freely available global framework for exchanging business information. XBRL allows the expression of semantics commonly required in business reporting. The standard was originally based on XML, but now supports reports in JSON and CSV formats in addition to the original XML-based syntax. XBRL is also…
The analysis highlights History, Standards and Companies as prominent areas in the source structure around XBRL.
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.
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 XBRL shows recurring relationship patterns in the source. For example, XBRL → April, COREP, Dimensions, Each, EBA, EIOPA, February, FINREP, Formula, HTML, IFRS, In, Inline XBRL, Interactive, It, June, Many, Recommendation, September, Solvency II Another extracted example is XBRL → ACT-IAC, American Council, Archived, Challenges Ahead, Companies House, Converging Financial Data, CS1, Curry, Exchange Commission, FAQXBRL US, February, Financial Data, Harth, Holland, Improving Access, Industry Advisory Council, Inline XBRL, O'Riain, Official, PDF. 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.
taxonomy ixbrl linkbase financial instance xml elements information element reporting concepts specification business document use taxonomies example documents data used
TTTA extracted 188 structured relationships around XBRL. Examples in this analysis include XBRL → Developed by → XBRL International and XBRL → Extended from → XML. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| XBRL | Developed by | XBRL International | 1.00 | infobox |
| XBRL | Extended from | XML | 1.00 | infobox |
| XBRL | Filename extension | .mw-parser-output .monospaced{font-family:monospace,monospace} .xbrl, .xml | 1.00 | infobox |
| XBRL | Initial release | December 31, 2003; 22 years ago (2003-12-31) | 1.00 | infobox |
| XBRL | Internet media type | application/xml | 1.00 | infobox |
| XBRL | Latest release | v2.1 (with errata corrections) February 20, 2013; 13 years ago (2013-02-20) | 1.00 | infobox |
| XBRL | Standard | XBRL 2.1 Specification | 1.00 | infobox |
| XBRL | Type of format | Markup language | 1.00 | infobox |
| XBRL | is a | exchange of financial information | 0.90 | text |
| XBRL | is a | standards-based way to communicate and exchange business information between business systems | 0.90 | text |
| the U.S | instance of | Information being communicated or exchanged is provided within an XBRL instance.Early users of XBRL included regulators | 0.80 | text |
| the Securities | instance of | agencies | 0.80 | text |
The concept neighborhoods around XBRL bring nearby vocabulary together. In this analysis, examples include Taxonomies, Documents and Define. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For XBRL, one of the stronger structural bridges in this analysis connects XBRL 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 XBRL to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Standards & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — XBRL · EN edition · Analysis: TopicsToTalkAbout