Theory and computation


Ontology type: npg:Subject  | skos:Concept     


Concept Info

NAME

Theory and computation

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/subjects/theory-and-computation", 
    "rdfs:label": "Theory and computation", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/materials-science"
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:narrower": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/atomistic-models"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/coarse-grained-models"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/electronic-structure"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/computational-methods"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/scaling-laws"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Theory and computation"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/atomistic-models", 
    "rdfs:label": "Atomistic models", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }
    ], 
    "skos:definition": [
      {
        "@language": "en", 
        "@value": "Atomistic models are computational models that mimic the behaviour of a complex system by explicitly taking its smallest constituent parts into account. In materials science and chemistry, an atomistic model is a model of the collective behaviour of atoms in larger systems, such as molecules and crystals."
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Atomistic models"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/coarse-grained-models", 
    "rdfs:label": "Coarse-grained models", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }
    ], 
    "skos:definition": [
      {
        "@language": "en", 
        "@value": "Coarse-grained models are computational models that mimic the behaviour of a complex system by breaking it down into simpler sub-components. The extent to which the system is broken down reflects the degree of granularity of the model in question."
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Coarse-grained models"
      }
    ], 
    "type": [
      "http://www.w3.org/2004/02/skos/core#Concept", 
      "http://ns.nature.com/terms/Subject"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/electronic-structure", 
    "rdfs:label": "Electronic structure", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Electronic structure"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/computational-methods", 
    "rdfs:label": "Computational methods", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }
    ], 
    "skos:definition": [
      {
        "@language": "en", 
        "@value": "Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation.  A computational model can be used to make predictions of the system's behaviour under different conditions, often for cases in which intuitive analytical solutions are not available."
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Computational methods"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/scaling-laws", 
    "rdfs:label": "Scaling laws", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }
    ], 
    "skos:definition": [
      {
        "@language": "en", 
        "@value": "Scaling laws describe the functional relationship between two physical quantities that scale with each other over a significant interval. An example of this is power law behaviour, where one quantity varies as a power of the other."
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Scaling laws"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://www.w3.org/2004/02/skos/core#Concept", 
    "rdfs:subClassOf": [
      {
        "id": "http://www.w3.org/2004/02/skos/core#Concept"
      }, 
      {
        "id": "http://www.w3.org/2000/01/rdf-schema#Resource"
      }
    ], 
    "sdDataset": "for_codes", 
    "type": [
      "http://www.w3.org/2000/01/rdf-schema#Resource", 
      "http://www.w3.org/2000/01/rdf-schema#Class"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "id": "http://scigraph.springernature.com/ontologies/subjects/materials-science", 
    "rdfs:label": "Materials science", 
    "sdDataset": "onto_subjects", 
    "skos:broader": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/physical-sciences"
      }
    ], 
    "skos:definition": [
      {
        "@language": "en", 
        "@value": "Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying structure of a material, its properties, its processing methods and its performance in applications."
      }
    ], 
    "skos:inScheme": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/"
      }
    ], 
    "skos:narrower": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/techniques-and-instrumentation"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/nanoscale-materials"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/materials-for-optics"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/structural-materials"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/soft-materials"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/theory-and-computation"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/biomaterials"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/materials-for-energy-and-catalysis"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/materials-for-devices"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/condensed-matter-physics"
      }
    ], 
    "skos:prefLabel": [
      {
        "@language": "en", 
        "@value": "Materials science"
      }
    ], 
    "type": [
      "http://ns.nature.com/terms/Subject", 
      "http://www.w3.org/2004/02/skos/core#Concept"
    ]
  }, 
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "dcterms:description": [
      {
        "@language": "en", 
        "@value": "The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature."
      }
    ], 
    "dcterms:title": [
      {
        "@language": "en", 
        "@value": "Nature Subjects Taxonomy"
      }
    ], 
    "id": "http://scigraph.springernature.com/ontologies/subjects/", 
    "sdDataset": "onto_subjects", 
    "skos:hasTopConcept": [
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/physical-sciences"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/DEPRECATED"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/business-and-commerce"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/humanities"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/social-science"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/health-sciences"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/scientific-community-and-society"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/earth-and-environmental-sciences"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/subjects/biological-sciences"
      }
    ], 
    "type": [
      "http://www.w3.org/2004/02/skos/core#ConceptScheme"
    ]
  }
]
 

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/subjects/theory-and-computation'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/ontologies/subjects/theory-and-computation'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/ontologies/subjects/theory-and-computation'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/ontologies/subjects/theory-and-computation'


 

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

88 TRIPLES      8 PREDICATES      14 URIs      3 LITERALS

Subject Predicate Object
1 sg:ontologies/subjects/theory-and-computation sgo:license sg:explorer/license/
2 sgo:sdDataset onto_subjects
3 rdf:type npg:Subject
4 skos:Concept
5 rdfs:label Theory and computation
6 skos:broader sg:ontologies/subjects/materials-science
7 skos:inScheme sg:ontologies/subjects/
8 skos:narrower sg:ontologies/subjects/atomistic-models
9 sg:ontologies/subjects/coarse-grained-models
10 sg:ontologies/subjects/computational-methods
11 sg:ontologies/subjects/electronic-structure
12 sg:ontologies/subjects/scaling-laws
13 skos:prefLabel Theory and computation
14 sg:ontologies/subjects/ dcterms:description The Nature Subjects Taxonomy is a polyhierarchical categorization of scholarly subject areas which are used for the indexing of content by Springer Nature.
15 dcterms:title Nature Subjects Taxonomy
16 sgo:sdDataset onto_subjects
17 rdf:type skos:ConceptScheme
18 skos:hasTopConcept sg:ontologies/subjects/DEPRECATED
19 sg:ontologies/subjects/biological-sciences
20 sg:ontologies/subjects/business-and-commerce
21 sg:ontologies/subjects/earth-and-environmental-sciences
22 sg:ontologies/subjects/health-sciences
23 sg:ontologies/subjects/humanities
24 sg:ontologies/subjects/physical-sciences
25 sg:ontologies/subjects/scientific-community-and-society
26 sg:ontologies/subjects/social-science
27 sg:ontologies/subjects/atomistic-models sgo:sdDataset onto_subjects
28 rdf:type npg:Subject
29 skos:Concept
30 rdfs:label Atomistic models
31 skos:broader sg:ontologies/subjects/theory-and-computation
32 skos:definition Atomistic models are computational models that mimic the behaviour of a complex system by explicitly taking its smallest constituent parts into account. In materials science and chemistry, an atomistic model is a model of the collective behaviour of atoms in larger systems, such as molecules and crystals.
33 skos:inScheme sg:ontologies/subjects/
34 skos:prefLabel Atomistic models
35 sg:ontologies/subjects/coarse-grained-models sgo:sdDataset onto_subjects
36 rdf:type npg:Subject
37 skos:Concept
38 rdfs:label Coarse-grained models
39 skos:broader sg:ontologies/subjects/theory-and-computation
40 skos:definition Coarse-grained models are computational models that mimic the behaviour of a complex system by breaking it down into simpler sub-components. The extent to which the system is broken down reflects the degree of granularity of the model in question.
41 skos:inScheme sg:ontologies/subjects/
42 skos:prefLabel Coarse-grained models
43 sg:ontologies/subjects/computational-methods sgo:sdDataset onto_subjects
44 rdf:type npg:Subject
45 skos:Concept
46 rdfs:label Computational methods
47 skos:broader sg:ontologies/subjects/theory-and-computation
48 skos:definition Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the system's behaviour under different conditions, often for cases in which intuitive analytical solutions are not available.
49 skos:inScheme sg:ontologies/subjects/
50 skos:prefLabel Computational methods
51 sg:ontologies/subjects/electronic-structure sgo:sdDataset onto_subjects
52 rdf:type npg:Subject
53 skos:Concept
54 rdfs:label Electronic structure
55 skos:broader sg:ontologies/subjects/theory-and-computation
56 skos:inScheme sg:ontologies/subjects/
57 skos:prefLabel Electronic structure
58 sg:ontologies/subjects/materials-science sgo:sdDataset onto_subjects
59 rdf:type npg:Subject
60 skos:Concept
61 rdfs:label Materials science
62 skos:broader sg:ontologies/subjects/physical-sciences
63 skos:definition Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying structure of a material, its properties, its processing methods and its performance in applications.
64 skos:inScheme sg:ontologies/subjects/
65 skos:narrower sg:ontologies/subjects/biomaterials
66 sg:ontologies/subjects/condensed-matter-physics
67 sg:ontologies/subjects/materials-for-devices
68 sg:ontologies/subjects/materials-for-energy-and-catalysis
69 sg:ontologies/subjects/materials-for-optics
70 sg:ontologies/subjects/nanoscale-materials
71 sg:ontologies/subjects/soft-materials
72 sg:ontologies/subjects/structural-materials
73 sg:ontologies/subjects/techniques-and-instrumentation
74 sg:ontologies/subjects/theory-and-computation
75 skos:prefLabel Materials science
76 sg:ontologies/subjects/scaling-laws sgo:sdDataset onto_subjects
77 rdf:type npg:Subject
78 skos:Concept
79 rdfs:label Scaling laws
80 skos:broader sg:ontologies/subjects/theory-and-computation
81 skos:definition Scaling laws describe the functional relationship between two physical quantities that scale with each other over a significant interval. An example of this is power law behaviour, where one quantity varies as a power of the other.
82 skos:inScheme sg:ontologies/subjects/
83 skos:prefLabel Scaling laws
84 skos:Concept sgo:sdDataset for_codes
85 rdf:type rdfs:Class
86 rdfs:Resource
87 rdfs:subClassOf rdfs:Resource
88 skos:Concept
 




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


...