Pattern Recognition


Ontology type: skos:Concept     


Concept Info

NAME

Pattern Recognition

Journals max 100 shown

  • EURASIP Journal on Image and Video Processing ISSN: 1687-5176, 1687-5281 Springer
  • Information Retrieval Journal ISSN: 1386-4564, 1573-7659 Springer
  • International Journal of Computer Vision ISSN: 0920-5691, 1573-1405 Springer
  • International Journal of Machine Learning and Cybernetics ISSN: 1868-8071, 1868-808X Springer
  • International Journal on Document Analysis and Recognition (IJDAR) ISSN: 1433-2833, 1433-2825 Springer
  • Journal of Classification ISSN: 0176-4268, 1432-1343 Springer
  • Journal of Real-Time Image Processing ISSN: 1861-8200, 1861-8219 Springer
  • Journal of Signal Processing Systems ISSN: 0922-5773, 1939-8115 Springer
  • Machine Vision and Applications ISSN: 0932-8092, 1432-1769 Springer
  • Pattern Analysis and Applications ISSN: 1433-7541, 1433-755X Springer
  • Pattern Recognition and Image Analysis ISSN: 1054-6618, 1555-6212 Pleiades Publishing
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I2203X", 
        "rdfs:label": null, 
        "sdDataset": "onto_pmc", 
        "skos:broader": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I22005"
          }
        ], 
        "skos:inScheme": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/"
          }
        ], 
        "skos:prefLabel": [
          {
            "@language": "en", 
            "@value": "Pattern Recognition"
          }, 
          {
            "@language": "de", 
            "@value": "Mustererkennung"
          }
        ], 
        "type": [
          "http://www.w3.org/2004/02/skos/core#Concept"
        ]
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/ontologies/product-market-codes/I2203X'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/product-market-codes/I2203X'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/product-market-codes/I2203X'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/product-market-codes/I2203X'


     

    This table displays all metadata directly associated to this object as RDF triples.

    7 TRIPLES      6 PREDICATES      8 URIs      3 LITERALS

    Subject Predicate Object
    1 sg:ontologies/product-market-codes/I2203X sgo:license sg:explorer/license/
    2 sgo:sdDataset onto_pmc
    3 rdf:type skos:Concept
    4 skos:broader sg:ontologies/product-market-codes/I22005
    5 skos:inScheme sg:ontologies/product-market-codes/
    6 skos:prefLabel Mustererkennung
    7 Pattern Recognition
     




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