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CDDB: Art, History, Works & Measurement

CDDB, short for Compact Disc Database, is a database for software applications to look up audio CD (compact disc) information over the Internet. This is performed by a client which calculates a (nearly) unique disc ID and then queries the database. As a result, the client is able to display the artist name, CD title, track list and some additional…

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CDDB topic overview

The analysis highlights Art, History, Works and Measurement as prominent areas in the source structure around CDDB.

Related topics
34
Source areas
5
Connected nodes
39
Extracted relationships
60
Concept neighborhoods
16
Bridge connections
39

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 · 13 topics
History · 11 topics
Classical music · 7 topics
How CDDB works · 2 topics
Example calculation of a CDDB1 (FreeDB) disc ID · 1 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.

Industry
Audio metadata
Owner
Nielsen Holdings
Commercial
No (initially) Yes (since 2001)
Current status
Online
Founder(s)
Ti Kan Steve Scherf
Launched
1995

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

History

How CDDB works

Example calculation of a CDDB1 (FreeDB) disc ID

  • Java Java (programming language)

Classical music

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How CDDB connects Entity context

The extracted context around CDDB shows recurring relationship patterns in the source. For example, CDDB → Allegro, At, Boston Symphony Orchestra, CDs, Classical Music Initiative, CMI, Gracenote, In, Joseph Silverstein, Op, Seiji Ozawa, Spring, The, The Four Seasons, Their, Vivaldi Another extracted example is CDDB → CD, CDDB Inc, February, GNU General Public License, Graham Toal, Kan, Steve Scherf, The, Ti Kan, Users. Use these groups to spot repeated connection types before inspecting the individual relationships.

CDDB

Top relations

related to Classical music · 16
CDDB → Allegro, At, Boston Symphony Orchestra, CDs, Classical Music Initiative, CMI, Gracenote, In, Joseph Silverstein, Op, Seiji Ozawa, Spring, The, The Four Seasons, Their, Vivaldi
related to history · 10
CDDB → CD, CDDB Inc, February, GNU General Public License, Graham Toal, Kan, Steve Scherf, The, Ti Kan, Users
related to Example calculation of a CDDB1 (FreeDB) disc ID · 9
CDDB → CD, CDDB1, CDs, For, The, XX, XXYYYYZZ, YYYY, ZZ
related to How CDDB works · 9
CDDB → Advanced, CD, CDs, Gracenote, In, Internet, Submit Track Names, The, This
is a · 2
CDDB → direct consequence of the original design of the CD, licensed trademark of Gracenote
Commercial · 1
CDDB → No (initially) Yes (since 2001)
Current status · 1
CDDB → Online
Founder(s) · 1
CDDB → Ti Kan Steve Scherf
Industry · 1
CDDB → Audio metadata
Launched · 1
CDDB → 1995

Important terminology

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

Important terminology

cd database gracenote track disc information media cds id audio tracks names cddb1 classical music would software kan scherf freedb

CDDB relationships Subject–Predicate–Object triples

TTTA extracted 60 structured relationships around CDDB. Examples in this analysis include CDDB → Commercial → No (initially) Yes (since 2001) and CDDB → Current status → Online. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CDDBCommercialNo (initially) Yes (since 2001)1.00infobox
CDDBCurrent statusOnline1.00infobox
CDDBFounder(s)Ti Kan Steve Scherf1.00infobox
CDDBIndustryAudio metadata1.00infobox
CDDBLaunched19951.00infobox
CDDBOwnerNielsen Holdings1.00infobox
CDDBPredecessorCDDB local database (around 1993)1.00infobox
CDDBSuccessorGracenote1.00infobox
CDDBType of siteData library1.00infobox
CDDBURLwww.gracenote.com1.00infobox
CDDBis alicensed trademark of Gracenote0.90text
CDDBis adirect consequence of the original design of the CD0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around CDDB bring nearby vocabulary together. In this analysis, examples include Scherf, Gracenote and Inc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CDDB
    • Scherf
    • Gracenote
    • Inc
    • Version
    • Tracks
    • Original
    • Audio
    • Freedb
    • Kan
    • Since
    • Software
    • Would
  • cddb
    • Scherf
    • Gracenote
    • Inc
    • Version
    • Tracks
    • Original
    • Audio
    • Freedb
    • Kan
    • Since
    • Software
    • Would
  • database
    • Disc
    • Names
    • Used
    • Kan
    • Media
    • Id
    • Player
    • Ripper
    • Freedb
    • Software
    • Music
    • Scherf
  • compact disc
    • Id
    • Cddb1
    • Data
    • Example
    • Since
    • Cds
    • Client
    • Player
    • Track
    • Name
    • Used
    • Different
  • cd ripper
    • Track
    • Player
    • Used
    • Information
    • Duration
    • Seconds
    • Names
    • Software
    • Database
    • Disc
    • Name
    • Digits
  • audio tracks
    • Data
    • Disc
    • Cds
    • Different
    • Database
    • Player
    • Cddb
    • Name
    • Original
    • Used
    • Cd
    • Example
  • how cddb works
    • Scherf
    • Gracenote
    • Inc
    • Version
    • Tracks
    • Original
    • Audio
    • Freedb
    • Kan
    • Since
    • Software
    • Would
  • example calculation of a cddb1 (freedb) disc id
    • Id
    • Duration
    • Gracenote
    • Scherf
    • Cddb1
    • Different
    • Disc
    • Since
    • Classical
    • Data
    • Player
    • Example

Connections between topic areas Semantic bridges

For CDDB, one of the stronger structural bridges in this analysis connects CDDB 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.

Min side: 3
CDDB — Overview · splits 26 ⟂ 14
CDDB — History · splits 28 ⟂ 12
CDDB — Classical music · splits 32 ⟂ 8
CDDB — How CDDB works · splits 37 ⟂ 3

Map overview Semantic statistics

CDDB

Nodes40
Edges39
Triples60
Avg. degree1.95
Density0.05
Components1

Source & methodology

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

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

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