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The Entertainment Identifier Registry, or EIDR, is a global unique identifier system for a broad array of audiovisual objects, including motion pictures, television, and radio programs. The identification system resolves an identifier to a metadata record that is associated with top-level titles, edits, DVDs, encodings, clips, and mashups. EIDR also…
The analysis highlights Standards, History and Applications as prominent areas in the source structure around EIDR.
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 EIDR shows recurring relationship patterns in the source. For example, EIDR → Ad-ID, Agency, Alternate IDs, AlternateID, AMWA AS-03, AS-11, Baseline, Best, BFI, British Film Institute, BXF, CableLabs, CableLabs Metadata, CRID, Currently, DAI, DVB, Dynamic Ad Insertion, EBU, EBU Core Another extracted example is EIDR → AbstractionMode, Alternate Titles, As, Audio, AudioVisual, Creation Date, Credits, ID, IDs, ISO, Lang, Last Modification Date, Length, MovieTitle, Org, Origin, Original Language, Party ID, Referent Type, Registrant. 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.
content doi id metadata asset system assets records object record set ids used identifier 10 handle registry systems also type
TTTA extracted 257 structured relationships around EIDR. Examples in this analysis include EIDR → Executive Director → Hollie Choi and EIDR → Formation → 2010; 16 years ago (2010). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| EIDR | Executive Director | Hollie Choi | 1.00 | infobox |
| EIDR | Formation | 2010; 16 years ago (2010) | 1.00 | infobox |
| EIDR | Headquarters | Redwood City, California, U.S. | 1.00 | infobox |
| EIDR | Type | 501(c)(6) not-for-profit membership corporation | 1.00 | infobox |
| EIDR | Website | eidr.org | 1.00 | infobox |
| EIDR | is a | implementation of a digital object identifier | 0.90 | text |
| EIDR | part of | the CableLabs Metadata standard for the distribution of video on demand assets | 0.85 | text |
| watermarks | instance of | 36 check digit.There is also a 96-bit compact binary form that is intended for embedding in small payloads | 0.80 | text |
| a movie or TV series | instance of | is associated with an entertainment asset | 0.80 | text |
| a Series | instance of | allowing relationships to be expressed | 0.80 | text |
| whose children would be Seasons | instance of | allowing relationships to be expressed | 0.80 | text |
| whose children in turn would be individual episodes | instance of | allowing relationships to be expressed | 0.80 | text |
The concept neighborhoods around EIDR bring nearby vocabulary together. In this analysis, examples include Id, Content and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For EIDR, one of the stronger structural bridges in this analysis connects EIDR with Content model. 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 EIDR to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — EIDR · EN edition · Analysis: TopicsToTalkAbout