Knowledge Maps as support tool for managing scientific competences

• Master's thesis
• Thesis defence presentation
• Scientific article

Main features

• Fetch academic data like publications, conference papers and projects from Scopus and Ciência Vitae APIs.
• Automatic conflict resolution between the two sources.
• Visualize in-house competences through interactive knowledge maps and graphs.
• Ability to filter data by author, year, type of publication, etc.

Example of one of the main views of the application:

Getting Started

Setup

1. (Optional) Create a virtual environment.

https://docs.python.org/3/library/venv.html
or
https://virtualenvwrapper.readthedocs.io/en/latest/

2. Install requirements.

cd .../knowledge-maps/
pip3 install -r requirements.txt

3. Rename the following files:

.../knowledge-maps/mkm/knowledge/api_utils/config.json.old
.../knowledge-maps/mkm/knowledge/api_utils/config.ini.old

to

config.json
config.ini

4. Add API keys to the following files:

.../knowledge-maps/mkm/knowledge/api_utils/config.json
.../knowledge-maps/mkm/knowledge/api_utils/config.ini

(IMPORTANT) Scopus API synchronization only works when executing the program from within an authorized organization (e.g. University), or through a VPN. Get your API key here.

Contact the Ciência Vitae team for an API key.

5. Apply Django's models to the database.

cd .../knowledge-maps/mkm
python3 manage.py makemigrations
python3 manage.py migrate

6. Create a super user.

cd .../knowledge-maps/mkm
python3 manage.py createsuperuser

Usage

Run server.

cd .../knowledge-maps/mkm/
python3 manage.py runserver