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Tz database: History, Regions & Standards
The tz database is a collaborative compilation of information about the world's time zones and rules for observing daylight saving time, primarily intended for use with computer programs and operating systems. Paul Eggert has been its editor and maintainer since 2005, with the organizational backing of ICANN. The tz database is also known as tzdata, the…
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Tz database topic overview
The analysis highlights History, Regions and Standards as prominent areas in the source structure around Tz database.
Related topics
125
Source areas
10
Connected nodes
135
Extracted relationships
128
Concept neighborhoods
24
Bridge connections
135
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.
Usage and extensions · 56 topics
Overview · 36 topics
Data structure · 9 topics
Coverage · 8 topics
History · 6 topics
Maintenance · 4 topics
Man pages · 2 topics
Unix-like systems · 2 topics
General · 1 topics
Official IANA sources · 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.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Tz database connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Tz database shows recurring relationship patterns in the source. For example, Tz database → AIX, Androidseveral, API, Archived, BeOS, BigEasy/TimeZone, Boost, BSD-derived, Cygwin, Dart/Flutter Timezone, DateTime, December, DragonFly BSD, Erlang, Free Pascal, FreeBSD, GNU, Haiku, Haskell, IANA Time Zone Another extracted example is Tz database → Arthur David Olson, Debian, End, IANA FTP, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Maintaining, Paul Eggert, Procedures, Proposed, RFC, Source, The, The IETF, Time Zone Database, Typically, Usenet, Wikisource-logo. Use these groups to spot repeated connection types before inspecting the individual relationships.
Tz database → Arthur David Olson, Debian, End, IANA FTP, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Maintaining, Paul Eggert, Procedures, Proposed, RFC, Source, The, The IETF, Time Zone Database, Typically, Usenet, Wikisource-logo
related to General· 10
Tz database → IANA, IANAtz, ITU, Jon Udell, Legal, Official IANA, Olson/Zoneinfo/tz, PDF, The, UCLA
related to Use in other standards· 5
Tz database → CLDR, Data Repository, However, The Unicode Common Locale, UN/LOCODE
related to Definition of a timezone· 4
Tz database → Therefore, This, UTC, Within
related to Boundaries of timezones· 3
Tz database → Evan Siroky, Geographical, GeoJSON
related to Data stored for each zone· 3
Tz database → For, The, Zones
related to File formats· 3
Tz database → APIs, For, The
related to Man pages· 3
Tz database → Linux Administration, Linux File Formats Manual, Privileged Commands Manual
related to Timezones· 3
Tz database → Each, The, UTC
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 128 structured relationships around Tz database. Examples in this analysis include Tz database → is a → collaborative compilation of information about the world's time zones and rules for observing daylight saving time and MySQL → instance of → for support of third-party applications. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Tz database
is a
collaborative compilation of information about the world's time zones and rules for observing daylight saving time
0.90
text
MySQL
instance of
for support of third-party applications
0.80
text
but do not use it themselves
instance of
for support of third-party applications
0.80
text
Tz database
related to Boundaries of timezones
Geographical
0.60
section
Tz database
related to Boundaries of timezones
Evan Siroky
0.60
section
Tz database
related to Boundaries of timezones
GeoJSON
0.60
section
Tz database
related to Data stored for each zone
For
0.60
section
Tz database
related to Data stored for each zone
The
0.60
section
Tz database
related to Data stored for each zone
Zones
0.60
section
Tz database
related to Definition of a timezone
Within
0.60
section
Tz database
related to Definition of a timezone
This
0.60
section
Tz database
related to Definition of a timezone
UTC
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Tz database bring nearby vocabulary together. In this analysis, examples include Tz, Time and Zone. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Tz database
Tz
Time
Zone
Iana
Daylight
Saving
Systems
Zones
List
Olson
Code
Use
tz database
Tz
Time
Zone
Iana
Daylight
Saving
Timezone
Systems
Zones
List
Olson
Code
time zones
Daylight
Saving
Zone
Rules
Tz
Standard
Area
Systems
Time
Zones
Example
Use
daylight saving time
Saving
Rules
Daylight
Time
Zone
Rule
Tz
Standard
Use
Zones
Systems
Example
unix time
Daylight
Saving
Zone
Rules
Tz
Standard
Zones
Use
Systems
Example
Iana
Rule
source code
Reference
Tz
Source
Database
Use
Standard
Zone
Used
Zoneinfo
Europe
Countries
Published
coordinated universal time
Daylight
Saving
Zone
Rules
Tz
Standard
Zones
Use
Systems
Example
Iana
Rule
zone.tab
Standard
Lines
Timezone
Rule
Name
Names
Zones
Example
One
Code
Files
Area
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Tz database, one of the stronger structural bridges in this analysis connects Tz database with Usage and extensions. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Tz database
Nodes136
Edges135
Triples128
Avg. degree1.99
Density0.014706
Components1
Source & methodology
TTTA analyzes the structure around Tz database to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Regions & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
