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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0803", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computer Software", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute for Systems Biology, 98103, Seattle, WA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "Institute for Systems Biology, 98103, Seattle, WA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rovira", 
        "givenName": "Hector", 
        "id": "sg:person.01224262060.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224262060.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Systems Biology, 98103, Seattle, WA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "Institute for Systems Biology, 98103, Seattle, WA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Killcoyne", 
        "givenName": "Sarah", 
        "id": "sg:person.01274460411.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274460411.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Systems Biology, 98103, Seattle, WA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "Institute for Systems Biology, 98103, Seattle, WA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shmulevich", 
        "givenName": "Ilya", 
        "id": "sg:person.01354314446.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354314446.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Systems Biology, 98103, Seattle, WA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "Institute for Systems Biology, 98103, Seattle, WA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boyle", 
        "givenName": "John", 
        "id": "sg:person.01110033460.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110033460.10"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "This paper discusses a general purpose software architecture, called Addama, which is used to support the rapid integration and analysis of high volumes of complex biological data. It does this by providing: adaptable software which enables interoperable data access; a step-wise and flexible integration strategy, allowing new information to be overlaid on top of existing annotations and context graphs; and through the provision of asynchronous messaging to support rapid integration of new analysis mechanisms. This work is illustrated through the Cancer Genome Atlas (TCGA) study. Addama is being used within a TCGA analysis center to identity new therapeutic intervention approaches by equating clinical outcomes with underlying genomic effects across heterogeneous data from approximately 20,000 patient samples.\u00a0Addama supports projects like the TCGA through accepting that biological understanding continually changes, and that the rapid integration of new information and analyses is an essential requirement when supporting research.", 
    "editor": [
      {
        "familyName": "Lambrix", 
        "givenName": "Patrick", 
        "type": "Person"
      }, 
      {
        "familyName": "Kemp", 
        "givenName": "Graham", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-15120-0_14", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-15119-4", 
        "978-3-642-15120-0"
      ], 
      "name": "Data Integration in the Life Sciences", 
      "type": "Book"
    }, 
    "keywords": [
      "rapid integration", 
      "complex biological data", 
      "software architecture", 
      "adaptable software", 
      "context graph", 
      "asynchronous messaging", 
      "data access", 
      "heterogeneous data", 
      "integration architecture", 
      "analysis mechanism", 
      "flexible integration strategy", 
      "biological data", 
      "architecture", 
      "integration strategy", 
      "essential requirement", 
      "integration", 
      "high volume", 
      "Analysis Center", 
      "information", 
      "software", 
      "annotation", 
      "graph", 
      "new information", 
      "messaging", 
      "complexity", 
      "biological scope", 
      "requirements", 
      "therapeutic intervention approaches", 
      "access", 
      "data", 
      "project", 
      "issues", 
      "top", 
      "work", 
      "scope", 
      "research", 
      "strategies", 
      "analysis", 
      "provision", 
      "biological understanding", 
      "center", 
      "volume", 
      "mechanism", 
      "understanding", 
      "scale", 
      "Cancer Genome Atlas study", 
      "TCGA", 
      "genomic effects", 
      "Atlas study", 
      "study", 
      "patient samples", 
      "outcomes", 
      "samples", 
      "intervention approaches", 
      "effect", 
      "approach", 
      "clinical outcomes", 
      "paper"
    ], 
    "name": "An Integration Architecture Designed to Deal with the Issues of Biological Scope, Scale and Complexity", 
    "pagination": "179-191", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019732447"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-15120-0_14"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-15120-0_14", 
      "https://app.dimensions.ai/details/publication/pub.1019732447"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:46", 
    "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_333.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-15120-0_14"
  }
]

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.

144 TRIPLES      23 PREDICATES      84 URIs      77 LITERALS      7 BLANK NODES