Computational Intelligence


Ontology type: skos:Concept     


Concept Info

NAME

Computational Intelligence

Journals max 100 shown

  • Acta Mechanica Sinica ISSN: 0567-7718, 1614-3116 The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences, co-published with Springer
  • Augmented Human Research ISSN: 2365-4317, 2365-4325 Springer
  • Complex & Intelligent Systems ISSN: 2199-4536, 2198-6053 Springer
  • Control Theory and Technology ISSN: 2095-6983, 2198-0942 South China University of Technology and Academy of Mathematics and Systems Science, CAS, co-published with Springer
  • Data-Enabled Discovery and Applications ISSN: 2510-1161 Springer
  • Fuzzy Information and Engineering ISSN: 1616-8658, 1616-8666 Springer
  • Granular Computing ISSN: 2364-4966, 2364-4974 Springer
  • Higher-Order and Symbolic Computation ISSN: 1388-3690, 2212-0793 Springer
  • Human-Intelligent Systems Integration ISSN: 2524-4876, 2524-4884 Springer
  • International Journal of Fuzzy Systems ISSN: 1562-2479, 2199-3211 Springer
  • International Journal of Machine Learning and Cybernetics ISSN: 1868-8071, 1868-808X Springer
  • International Journal of Material Forming ISSN: 1960-6206, 1960-6214 Springer
  • Journal of Ambient Intelligence and Humanized Computing ISSN: 1868-5137, 1868-5145 Springer
  • Journal of Big Data Analytics in Transportation ISSN: 2523-3556, 2523-3564 Springer
  • Journal of Data, Information and Management ISSN: 2524-6356, 2524-6364 Springer
  • Journal of Healthcare Informatics Research ISSN: 2509-4971, 2509-498X Springer
  • Journal of Uncertainty Analysis and Applications ISSN: 2195-5468 Springer, co-published with International Consortium for Uncertainty Theory (ICUT) and Hebei University of Engineering
  • Journal on Vehicle Routing Algorithms ISSN: 2367-3591, 2367-3605 Springer
  • Metaheuristics ISSN: 2522-8986, 2522-8994 Springer
  • Neural Processing Letters ISSN: 1370-4621, 1573-773X Springer
  • Operational Research ISSN: 1109-2858, 1866-1505 Springer
  • Optimization Letters ISSN: 1862-4472, 1862-4480 Springer
  • Progress in Artificial Intelligence ISSN: 2192-6352, 2192-6360 Springer
  • Quantum Machine Intelligence ISSN: 2524-4906, 2524-4914 Springer
  • ROBOMECH Journal ISSN: 2197-4225 Springer
  • Scientific Phone Apps and Mobile Devices ISSN: 2364-4958 Springer
  • Soft Computing ISSN: 1432-7643, 1433-7479 Springer
  • Stochastic Environmental Research and Risk Assessment ISSN: 1436-3240, 1436-3259 Springer
  • Urban Rail Transit ISSN: 2199-6687, 2199-6679 Springer
  • Vietnam Journal of Computer Science ISSN: 2196-8888, 2196-8896 Springer
  • npj Computational Materials ISSN: 2057-3960 Nature Research
  • 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/T11014", 
        "rdfs:label": null, 
        "sdDataset": "onto_pmc", 
        "skos:broader": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/T11006"
          }
        ], 
        "skos:inScheme": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/"
          }
        ], 
        "skos:prefLabel": [
          {
            "@language": "en", 
            "@value": "Computational Intelligence"
          }, 
          {
            "@language": "de", 
            "@value": "Maschinelle Intelligenz"
          }
        ], 
        "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/T11014'

    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/T11014'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/product-market-codes/T11014'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/product-market-codes/T11014'


     

    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/T11014 sgo:license sg:explorer/license/
    2 sgo:sdDataset onto_pmc
    3 rdf:type skos:Concept
    4 skos:broader sg:ontologies/product-market-codes/T11006
    5 skos:inScheme sg:ontologies/product-market-codes/
    6 skos:prefLabel Maschinelle Intelligenz
    7 Computational Intelligence
     




    Preview window. Press ESC to close (or click here)


    ...