character encoding

system using a prescribed set of digital values to represent textual characters
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character encoding

Summary

character encoding ranks in the top 2% of general entities by monthly Wikipedia readership (469 views/month).[1]

Key Facts

  • character encoding's subclass of is recorded as code[2].
  • character encoding's subclass of is recorded as data type[3].
  • character encoding's subclass of is recorded as technical standard[4].
  • character encoding's NDL Authority ID is recorded as 001203995[5].
  • character encoding's has use is recorded as string[6].
  • character encoding's has use is recorded as text file[7].
  • character encoding's Commons category is recorded as Character encodings[8].
  • character encoding's has part is recorded as character code[9].
  • character encoding's has part is recorded as character encoding scheme[10].
  • character encoding's has part is recorded as coded character set[11].
  • character encoding's Freebase ID is recorded as /m/01m80[12].
  • character encoding's NL CR AUT ID is recorded as ph122078[13].
  • character encoding's topic's main category is recorded as Category:Character encoding[14].
  • character encoding's described by source is recorded as Armenian Soviet Encyclopedia, vol. 5[15].
  • character encoding's topic has template is recorded as Template:Infobox character encoding[16].
  • character encoding's topic has template is recorded as Template:Character encodings[17].
  • character encoding's Stack Exchange tag is recorded as https://stackoverflow.com/tags/character-encoding[18].
  • character encoding's Stack Exchange tag is recorded as https://tex.stackexchange.com/tags/input-encodings[19].
  • character encoding's BabelNet ID is recorded as 00017756n[20].
  • character encoding's Zhihu topic ID is recorded as 19566921[21].
  • character encoding's JSTOR topic ID is recorded as character-sets[22].
  • character encoding's JSTOR topic ID is recorded as character-encoding[23].
  • character encoding's TDKIV term ID is recorded as 000000282[24].
  • character encoding's Microsoft Academic ID is recorded as 32717103[25].
  • character encoding's Lex ID is recorded as tegnsæt[26].

Why It Matters

character encoding ranks in the top 2% of general entities by monthly Wikipedia readership (469 views/month).[1] It has Wikipedia articles in 28 language editions, a strong signal of global cultural recognition.[27] It is known by 29 alternative names across languages and contexts.[28]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] . wikidata.org.
  2. [3] . wikidata.org.
  3. [4] . wikidata.org.
  4. [5] . wikidata.org.
  5. [6] . wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . wikidata.org.
  9. [10] . wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . Freebase Data Dumps. wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . wikidata.org.
  14. [15] . wikidata.org.
  15. [16] . wikidata.org.
  16. [17] . wikidata.org.
  17. [18] . wikidata.org.
  18. [19] . wikidata.org.
  19. [20] . BabelNet. wikidata.org.
  20. [21] . wikidata.org.
  21. [22] . wikidata.org.
  22. [23] . wikidata.org.
  23. [24] . wikidata.org.
  24. [25] . wikidata.org.
  25. [26] . wikidata.org.

Aggregate / graph-position facts

  1. [1] . Wikimedia Foundation. dumps.wikimedia.org.
  2. [27] . Wikidata sitelinks. wikidata.org.
  3. [28] . Wikidata aliases. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). character encoding. Retrieved April 10, 2026, from https://4ort.xyz/entity/character-encoding
MLA “character encoding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/character-encoding.
BibTeX @misc{4ortxyz_character-encoding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{character encoding}}, year = {2026}, url = {https://4ort.xyz/entity/character-encoding}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): character encoding — https://4ort.xyz/entity/character-encoding (retrieved 2026-04-10)

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