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", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0101", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Pure Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Ambrosio", 
        "givenName": "Luigi", 
        "id": "sg:person.012621721115.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012621721115.68"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Gigli", 
        "givenName": "Nicola", 
        "id": "sg:person.015012242515.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015012242515.20"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Savar\u00e9", 
        "givenName": "Giuseppe", 
        "id": "sg:person.015505046621.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015505046621.07"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2008", 
    "datePublishedReg": "2008-01-01", 
    "description": "In this chapter we state some of the main results of the paper, concerning existence, uniqueness, approximation, and qualitative properties of gradient flows \u03bc t generated by a proper, l.s.c. functional \u03c6 in p , X being a separable Hilbert space. Taking into account the first part of this book and the (sub)differential theory developed in the previous chapter, there are at least four possible approaches to gradient flows which can be adapted to the framework of Wasserstein spaces:", 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-7643-8722-8_13", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-7643-8721-1", 
        "978-3-7643-8722-8"
      ], 
      "name": "Gradient Flows", 
      "type": "Book"
    }, 
    "name": "Gradient Flows and Curves of Maximal Slope in p(X)", 
    "pagination": "279-306", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-7643-8722-8_13"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b01a7874f50e2e941f9c0c5b1c06692af3fe081f28a2c40eeb05a86a1cd43327"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036968361"
        ]
      }
    ], 
    "publisher": {
      "location": "Basel", 
      "name": "Birkh\u00e4user Basel", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-7643-8722-8_13", 
      "https://app.dimensions.ai/details/publication/pub.1036968361"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T18:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000063.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-7643-8722-8_13"
  }
]

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

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

67 TRIPLES      21 PREDICATES      26 URIs      19 LITERALS      7 BLANK NODES