October 1, 2019 Conference paper Open Access

Zhao, Zhiming; Liao, Xiaofeng; Martin, Paul; Maduro, Jordan; Thijsse, Peter; Schaap, Dick; Stocker, Markus; Goldfarb, Doron; Magagna, Barbara

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{
  "DOI": "10.1109/SERVICES.2019.00041", 
  "title": "Knowledge-as-a-Service: a community knowledge base for research infrastructures in environmental and earth sciences", 
  "issued": {
    "date-parts": [
      [
        2019, 
        10, 
        1
      ]
    ]
  }, 
  "abstract": "<p>The ENVRI Reference Model (ENVRI RM) and</p>\n\n<p>its ontological representation Open Information Linking for</p>\n\n<p>Environmental RIs (OIL-E) allow architects and engineers to</p>\n\n<p>describe the architecture and operational behavior of</p>\n\n<p>environmental and earth science research infrastructures (RIs)</p>\n\n<p>in a standardized way using community-agreed terminology. RI</p>\n\n<p>descriptions can be published as linked data, allowing discovery,</p>\n\n<p>querying, and comparison using established Semantic Web</p>\n\n<p>technologies. The ENVRI Knowledge Base is a community</p>\n\n<p>knowledge base which uses OIL-E to capture information about</p>\n\n<p>environmental and earth science RIs in the ENVRI community</p>\n\n<p>for query and comparison. Such Knowledge-as-a-Service</p>\n\n<p>supports identifying the technologies and standards used for</p>\n\n<p>particular activities and services and evaluating research</p>\n\n<p>infrastructure subsystems and behaviors against certain</p>\n\n<p>criteria, such as compliance with the FAIR data principles.</p>", 
  "author": [
    {
      "family": "Zhao, Zhiming"
    }, 
    {
      "family": "Liao, Xiaofeng"
    }, 
    {
      "family": "Martin, Paul"
    }, 
    {
      "family": "Maduro, Jordan"
    }, 
    {
      "family": "Thijsse, Peter"
    }, 
    {
      "family": "Schaap, Dick"
    }, 
    {
      "family": "Stocker, Markus"
    }, 
    {
      "family": "Goldfarb, Doron"
    }, 
    {
      "family": "Magagna, Barbara"
    }
  ], 
  "id": "3466680", 
  "event-place": "Milan, Italy", 
  "version": "Camera ready", 
  "type": "paper-conference", 
  "event": "Workshop on the first IEEE services workshop on knowledge graph as a service (KGAAS), IEEE Service 2019 (Service)"
}