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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "B.S. Abdur Rahman University", 
          "id": "https://www.grid.ac/institutes/grid.449273.f", 
          "name": [
            "B.S. Abdur Rahman University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mervin", 
        "givenName": "R.", 
        "id": "sg:person.015406172556.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015406172556.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "B.S. Abdur Rahman University", 
          "id": "https://www.grid.ac/institutes/grid.449273.f", 
          "name": [
            "B.S. Abdur Rahman University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jaya", 
        "givenName": "A.", 
        "id": "sg:person.016505633761.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016505633761.62"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018", 
    "datePublishedReg": "2018-01-01", 
    "description": "Knowledge Based Question Answering System (KBQA) aims to provide suitable answers for the queries posted by users using ontology. Ontology is supposed to refine the search with semantics and confer the best result to the user. Mapping of Question and Answers are mandatory in every Question Answering System. This research work proposed the framework for KBQA Mapping system, which helps in retrieving precise information from a large collection of documents. The KBQA system consists of three phases such as Question Preprocessing, Answer Evaluation and Concept Mapping of question with their answer. The question posted by the user will be evaluated to get the answer and the answer will be taken from the pool of KBQA. This research paper explores the novel approach to the mapping of Question and most relevant Answers in KBQA System.", 
    "editor": [
      {
        "familyName": "Shetty", 
        "givenName": "N. R.", 
        "type": "Person"
      }, 
      {
        "familyName": "Patnaik", 
        "givenName": "L. M.", 
        "type": "Person"
      }, 
      {
        "familyName": "Prasad", 
        "givenName": "N. H.", 
        "type": "Person"
      }, 
      {
        "familyName": "Nalini", 
        "givenName": "N.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-10-4741-1_9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-10-4740-4", 
        "978-981-10-4741-1"
      ], 
      "name": "Emerging Research in Computing, Information, Communication and Applications", 
      "type": "Book"
    }, 
    "name": "A Novel Approach to Mapping for KBQA System Using Ontology", 
    "pagination": "89-97", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-10-4741-1_9"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "893227504bf9d7bc7f72f3be225227685347a84830a214339672ab9e1152cac0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092709552"
        ]
      }
    ], 
    "publisher": {
      "location": "Singapore", 
      "name": "Springer Singapore", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-10-4741-1_9", 
      "https://app.dimensions.ai/details/publication/pub.1092709552"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T22:51", 
    "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_8695_00000226.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-981-10-4741-1_9"
  }
]

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.

87 TRIPLES      22 PREDICATES      27 URIs      20 LITERALS      8 BLANK NODES