기계가 읽을 수 있는 데이터

수학노트
둘러보기로 가기 검색하러 가기

노트

위키데이터

말뭉치

  1. Machine-readable data, or computer-readable data, is data in a format that can be processed by a computer.[1]
  2. In computing, human-readable data is often encoded as ASCII or Unicode text, rather than as binary data.[2]
  3. Since any type of data encoding can be parsed by a suitably programmed computer, the decision to use binary encoding rather than text encoding is usually made to conserve storage space.[2]
  4. As the name suggests, machine-readable data is data which can be read and interpreted by a computer program without the need for manual human intervention.[3]
  5. Machine-readable data must be structured data.[4]
  6. When we speak about "data", what we usually mean is machine-readable data.[5]
  7. Machine-readable data is data which is structured in such a way as to be transparent for computational processing.[5]
  8. Businesses and nonprofits often look to their professional and personal networks to find information, including machine-readable data.[6]
  9. A machine readable data format derived from the JavaScript language used on many web sites.[7]
  10. Machine readable data is most useful when information about who produced it, when, etc. is associated with the data.[7]
  11. Digital media is any media that is encoded in a machine-readable format (binary).[8]
  12. Machine-readable data is data structured in a format that can be processed by a computer.[8]
  13. Machine-readable data may be human-readable or easily transformed for human readability.[8]
  14. QHP issuers on the FFE are required to create a set of machine-readable data files using the JSON format specified by CMS.[9]
  15. However, sharing metadata stored in binary files is still not the most efficient way to share metadata, especially if it is much more generic.[10]
  16. Machine-readable data (automated data) is data stored in a machine-readable format, making it possible for automated software agents to access and process it without human intervention.[10]
  17. machine-readable data won't preclude you to continue to make your data available to humans.[11]
  18. "Machine-readable data is data (or metadata) which is in a format that can be understood by a computer.[12]
  19. Machine-readable data is data (or metadata) which is in a format that can be understood by a computer.[13]
  20. Examples of an optical machine-readable data representation images include an image of a linear barcode, an image of a matrix code (“2D barcode”), an image of text, etc.[14]
  21. For brevity, the examples depicted by the Figures will use the barcode example of an optical machine-readable data representation.[14]
  22. The web address may also be encoded in a second barcode (or different type of optical machine-readable data representation) displayed by the WGM 101.[14]
  23. In addition to wagering accounts, an optical machine-readable data representation can represent a player loyalty account (or an account can be a wagering account and a player loyalty account).[14]
  24. 5 is an example of a facsimile machine 50 in which a document 52 containing human readable data 54 and a two-dimensional pattern of graphic machine readable indicia 56.[15]

소스

  1. ↑ Machine-readable data
  2. ↑ 2.0 2.1 Human-readable medium
  3. ↑ Creating machine readable data
  4. ↑ Machine readable
  5. ↑ 5.0 5.1 spending-data-handbook/6-machine-readable-data.md at master · openspending/spending-data-handbook · GitHub
  6. ↑ Machine-readable open data: how it’s applicable to developing countries
  7. ↑ 7.0 7.1 A Primer on Machine Readability for Online Documents and Data
  8. ↑ 8.0 8.1 8.2 Machine Readability and Document Processing
  9. ↑ Machine-Readable Data
  10. ↑ 10.0 10.1 Semantic Web: Machine-Readable, Structured Data With Meaningful Annotations
  11. ↑ Make your data both human-readable and machine-readable
  12. ↑ How to make data management plans machine readable?
  13. ↑ About: Machine-readable data
  14. ↑ 14.0 14.1 14.2 14.3 US8419548B2 - Optical machine-readable data representation image - Google Patents
  15. ↑ US5113445A - System for encoding data in machine readable graphic form - Google Patents

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'machine'}, {'OP': '*'}, {'LOWER': 'readable'}, {'LEMMA': 'datum'}]
  • [{'LEMMA': 'binary'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=기계가_읽을_수_있는_데이터&oldid=51195"