Cortext STI analysis

Context

  • Science and Innovation corpus (patents/publication) analysis scenario.

    • Geoexploration: Interactive mappings, are there subjects areas of specialization in different urban areas? ([topic] x [geo])

    • Terms extraction:

    • Network Mapping analysis #1: How the subjects areas of specialization are co-occurring depending on the nature of the produced knowledge? ({ [topic] x [topic] } | [entity])

    • Network Mapping analysis #2: How the different types of entities (Projects, Patents, Publications, Thesis) have an impact in subjects? ([entity] x [topic])

    • Network Mapping analysis #3: What types of actors and what specific subjects are mobilized according to the nature (Patent, Publication, Project, Thesis) of the knowledge produced? ({ [topic] x [actor]} | [entity])

    • Network Mapping analysis #4: Who are the main actors and how do they cooperate depending on the nature of the produced knowledge? ({[actor] x [actor]} | [entity])

    • Network Mapping analysis #5: Who are the main actors identified in the OrgReg and CIB2 registers and how do they cooperate according to the nature of the knowledge produced? ({ [actor] x [actor]} | [entity])

    • Network Mapping analysis #6: How are the co-collaboration networks structured between the main actors according to their geographical location? ({[actor] x [actor]} | [geo])

    • Network Mapping analysis #7: How the different types of organizations (Academic, Company, Research, Health, …) have an impact in subjects? ([actor] x [topic])

    • Network Mapping analysis #8: Homogeneous network of the 250 extracted terms; Distribution top 250; Louvain Resolution; Display of described-entity-type in Variable with Raw

Steps

  1. Login into https://rcf.risis.io.

  2. Create a project.

  3. Import the scenario ‘Cortext STI analysis’ into the project.

  4. Configure the project filling the inputs: cortext-sti-analysis-scenario.png

    • Dataset id: Select a dataset that you have previously uploaded in this project.
    • File id: Select a file from the dataset you have seleted in the previous field.

  5. When all the required fields are filled, you can click on the button in the top right ‘Run this scenario’.

  6. After the scenario execution is finished, check in the Outputs of the project for the new files produced.