20 Matching Annotations
  1. Nov 2024
    1. TRSP Desirable Characteristics

      The community-defined standards the repository implements to enable the representation of data and/or metadata in a consistent, machine readable form (e.g. via models, formats, schemas, vocabularies, ontologies). These standards facilitate the discovery and interpretation of data and/or metadata.

  2. Feb 2024
    1. for best results pipe rg --json output to delta: this avoids parsing ambiguities that are inevitable with the output of git grep and grep
  3. Oct 2023
    1. plunging: content intended as primary object information, often required or directly usable by software; from “below the landing page”, this is intended to support an immersive object experience that bypasses any browsing step.

      Expectations

  4. Sep 2023
  5. Jul 2023
    1. I would say it's text when interpreted as text/plain it's human readable. Otherwise it's binary. That is, binary = for machines only.
    2. I couldn't find a definition of text except that text means absence of binary data. This is weak - so I would follow your definition - A text file is a file which can be read by a human.
  6. Jun 2023
    1. European Law Identifier (ELI) and the European Case Law Identifier (ECLI), which provide technical specifications for Web identifiers and suggestions for vocabularies to be used to describe metadata pertaining to legal documents in a machine readable format. Notably, these ECLI and ELI metadata standards adhere to the RDF data format which forms the basis of Linked Data, and therefore have the potential to form a basis for a pan-European legal Knowledge Graph.

      ELI (european law identifier) ECLI (European case law identifier) technical specification for web identifiers suggested vocabularies for metadata goal : legal documents in machine readable format.

      But some counties don't have this implemted and that stands in the way of a pan-European legal Knowledge Graph.

  7. Oct 2022
  8. Sep 2022
    1. The rules recorded in natural language are readable not only by humans but also by the computer and therefore no longer need to be programmed by a software developer. This task is now taken over by openVALIDATION.
  9. Feb 2021
  10. Nov 2020
    1. Some of the verbs implemented by systemctl are designed to provide a high-level overview in a human readable format. All that information is available over dbus, and/or journalctl, systemctl show. We could provide that information in json format, but there's a second problem. Information and format of information printed by e.g. systemctl status is not stable. Since the output is not suitable for programmatic consumption anyway, there's no need to provide it in a machine readable format.
  11. Jul 2020
    1. RDFa is intended to solve the problem of marking up machine-readable data in HTML documents. RDFa provides a set of HTML attributes to augment visual data with machine-readable hints. Using RDFa, authors may turn their existing human-visible text and links into machine-readable data without repeating content.
    1. It does, however, provide the --porcelain option, which causes the output of git status --porcelain to be formatted in an easy-to-parse format for scripts, and will remain stable across Git versions and regardless of user configuration.
    2. Parsing the output of git status is a bad idea because the output is intended to be human readable, not machine-readable. There's no guarantee that the output will remain the same in future versions of Git or in differently configured environments.
  12. Apr 2020
    1. there is also strong encouragement to make code re-usable, shareable, and citable, via DOI or other persistent link systems. For example, GitHub projects can be connected with Zenodo for indexing, archiving, and making them easier to cite alongside the principles of software citation [25].
      • Teknologi Github dan Gitlab fokus kepada modus teks yang dapat dengan mudah dikenali dan dibaca mesin/komputer (machine readable).

      • Saat ini text mining adalah teknologi utama yang berkembang cepat. Machine learning tidak akan jalan tanpa bahan baku dari teknologi text mining.

      • Oleh karenanya, jurnal-jurnal terutama terbitan LN sudah lama memiliki dua versi untuk setiap makalah yang dirilis, yaitu versi PDF (yang sebenarnya tidak berbeda dengan kertas zaman dulu) dan versi HTML (ini bisa dibaca mesin).

      • Pengolah kata biner seperti Ms Word sangat bergantung kepada teknologi perangkat lunak (yang dimiliki oleh entitas bisnis). Tentunya kode-kode untuk membacanya akan dikunci.

      • Bahkan PDF yang dianggap sebagai cara termudah dan teraman untuk membagikan berkas, juga tidak dapat dibaca oleh mesin dengan mudah.