System Architecture

The KMS that was developed for C2E2 is based on an open source content management system (CMS) called Drupal. The system architecture shown in Figure 5 is composed of four interconnected phases.

  • Input Data 
    The KMS is receiving data from external databases, the UNEP DTU Partnership and various related sources.
  • Main KMS function
    The data management system is coupled with the Climate Tagger API, so the content can be categorised/tagged according to Climate Tagger’s own thesaurus and become available in their online content pool. This will help users discover unknown and newly made connections between knowledge assets from multiple sources around the world and also update the Climate Tagger content pool with new information from other channels (inputs).
  • Processed Output
    The database is being populated into five knowledge objects.
  • Search function
    The end user will have the capability of advance search functionality by choosing multiple filters for his/her inquiry.

 

  1. The KMS receives input data from the Copenhagen Centre, external databases and other targeted sources.
  2. The Copenhagen Centre's Review Team uses six attributes to filter the incoming data:
    • Relevance
    • Accuracy
    • Completeness
    • Timeliness
    • Coherence
    • Format
  3. The Knowledge Management System is coupled with the Climate Tagger's Application Program Interface (API), so content can be categorised according to the Tagger’s thesaurus.
  4. Relevant data is absorbed into Regions, Tagging and Sectors.
  5. The central database includes all the analysed information.
  6. The data is categorised into five knowledge objects.
  7. End users can conduct advanced searches by choosing multiple filters for specific inquiries.

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