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Gracenote, Inc. is a company and service that provides music, video, and sports metadata and automatic content recognition (ACR) technologies to entertainment services and companies worldwide. Formerly CDDB ("Compact Disc Data Base"), Gracenote maintains and licenses an Internet-accessible database containing information about the contents of audio…
The analysis highlights History, Companies, Technology and Products as prominent areas in the source structure around Gracenote. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 Gracenote shows recurring relationship patterns in the source. For example, Gracenote → ACR, Alpine, AmazonMP3, AOL, BMW, Bose, Explore, Google Music, Gracenote's CD, Groove Music, In, Media Go, MetroLyrics, Music Jukebox, Nissan, Panasonic, Pandora, Samsung, Sonicstage, Sony Mobile Communication Another extracted example is Gracenote → Because CDs, CD, CDDB, CDs, Contents, Its, June, Kan, On April, Scherf, Sony, Steve Scherf, Table, The, This, Ti Kan, TOC. 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.
media music cddb data database nielsen 2014 tribune tv services million company information sony metadata technology video sports recognition gracenote's
TTTA extracted 114 structured relationships around Gracenote. Examples in this analysis include Gracenote → Formerly → Compact Disc Data Base (1998–2000) and Gracenote → Founded → October 5, 1998; 27 years ago (1998-10-05). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Gracenote | Formerly | Compact Disc Data Base (1998–2000) | 1.00 | infobox |
| Gracenote | Founded | October 5, 1998; 27 years ago (1998-10-05) | 1.00 | infobox |
| Gracenote | Headquarters | Emeryville, California, United States | 1.00 | infobox |
| Gracenote | Key people | Sujit Dasmunshi (General Manager) | 1.00 | infobox |
| Gracenote | Key people | Tim Cutting (CRO) | 1.00 | infobox |
| Gracenote | Key people | Trent Wheeler (CPO) | 1.00 | infobox |
| Gracenote | Key people | Roger Rached (CTO) | 1.00 | infobox |
| Gracenote | Number of employees | 1,700+ (2016) | 1.00 | infobox |
| Gracenote | Parent | Sony Corporation of America (2008–2014) Tribune Media (2014–2017) Nielsen (2017–present) | 1.00 | infobox |
| Gracenote | Products | Music Data | 1.00 | infobox |
| Gracenote | Products | Video Data | 1.00 | infobox |
| Gracenote | Products | Sports Data | 1.00 | infobox |
| Gracenote | Products | Automatic Content Recognition (ACR) Technology | 1.00 | infobox |
| Gracenote | Products | Digital Video Fingerprinting | 1.00 | infobox |
| Gracenote | Products | Acoustic Fingerprinting | 1.00 | infobox |
| Gracenote | Revenue | $98.76 million (2014) | 1.00 | infobox |
| Gracenote | Type | Subsidiary | 1.00 | infobox |
| Gracenote | Website | www.gracenote.com | 1.00 | infobox |
The concept neighborhoods around Gracenote bring nearby vocabulary together. In this analysis, examples include Music, Media and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Gracenote, one of the stronger structural bridges in this analysis connects Gracenote with Customers. 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 Gracenote to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Technology & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Gracenote · EN edition · Analysis: TopicsToTalkAbout