MLchartDataset catalogue

Semantic matching

Term · Cybersecurity · MLC-T-CYB-003872

uses contextual attributes of the digital object to interpret the artifact in a manner that more closely corresponds with human perceptual categories. For example, perceptual hashes allow the matching of visually similar images and are unconcerned with the low-level details of how the images are persistently stored. Semantic methods tend to provide the most specific results but also tend to be the most computationally expensive ones.

Table 1. Record
IdentifierMLC-T-CYB-003872
FieldCybersecurity
ReferencesNIST SP 800-168; NIST CSRC Glossary
Record as JSON 
{
  "id": "MLC-T-CYB-003872",
  "term": "Semantic matching",
  "field": "Cybersecurity",
  "definition": "uses contextual attributes of the digital object to interpret the artifact in a manner that more closely corresponds with human perceptual categories. For example, perceptual hashes allow the matching of visually similar images and are unconcerned with the low-level details of how the images are persistently stored. Semantic methods tend to provide the most specific results but also tend to be the most computationally expensive ones.",
  "references": [
    "NIST SP 800-168",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/semantic-matching/"
}

Record 3,852 of 4,669 in Cybersecurity terminology (MLC-0102). Request the full dataset.