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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials Chemistry", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences Inst. Problems of Chemical Physics, Acad. Semenov av. 1, Chernogolovka, 142432, Moscow region, Russia", 
          "id": "http://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Russian Academy of Sciences Inst. Problems of Chemical Physics, Acad. Semenov av. 1, Chernogolovka, 142432, Moscow region, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pomogailo", 
        "givenName": "Anatolii D.", 
        "id": "sg:person.016403071561.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016403071561.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "KVN International Inc., Jamie Circle 632, 19406, King of Prussia, Pennsylvania, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "KVN International Inc., Jamie Circle 632, 19406, King of Prussia, Pennsylvania, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kestelman", 
        "givenName": "Vladimir N.", 
        "id": "sg:person.012105260325.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012105260325.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences Inst. Problems of Chemical Physics, Acad. Semenov av. 1, Chernogolovka, 142432, Moscow region, Russia", 
          "id": "http://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Russian Academy of Sciences Inst. Problems of Chemical Physics, Acad. Semenov av. 1, Chernogolovka, 142432, Moscow region, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dzhardimalieva", 
        "givenName": "Gulzhian I.", 
        "id": "sg:person.010475400761.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010475400761.64"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2010-06-25", 
    "datePublishedReg": "2010-06-25", 
    "description": "At present, there are three main ways of production of metal-containing polymers on the basis of carboxyl precursors [1]: (I) the interaction of metal compounds MXn with linear functionalized (carboxyl-containing) polymers, when the main polymer chain remains untouched (so called polymeranalogous transformations), (II) the polycondensation of proper precursors, when metal ions are incorporated into and removed from the main chain leading to polymer destruction, (III) the recently developed method, polymerization and copolymerization of metalcontaining monomers.", 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-10574-6_1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-10573-9", 
        "978-3-642-10574-6"
      ], 
      "name": "Macromolecular Metal Carboxylates and Their Nanocomposites", 
      "type": "Book"
    }, 
    "keywords": [
      "metal-containing polymers", 
      "main polymer chain", 
      "polymer chains", 
      "metal ions", 
      "polymer destruction", 
      "main chain", 
      "proper precursors", 
      "polymers", 
      "precursors", 
      "polycondensation", 
      "copolymerization", 
      "polymerization", 
      "chain", 
      "monomers", 
      "ions", 
      "MXN", 
      "interaction", 
      "linear", 
      "introduction", 
      "method", 
      "basis", 
      "production", 
      "destruction", 
      "present", 
      "main ways", 
      "way"
    ], 
    "name": "Introduction", 
    "pagination": "1-5", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1025928537"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-10574-6_1"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-10574-6_1", 
      "https://app.dimensions.ai/details/publication/pub.1025928537"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:47", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_414.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-10574-6_1"
  }
]

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.

97 TRIPLES      22 PREDICATES      50 URIs      43 LITERALS      6 BLANK NODES