This repository contains the implementatioin and the information for the deployment of knowledge discovery and concept association graphs, using the visual tool proposed in HIVE Plots (https://bost.ocks.org/mike/hive/). For our project we will use a structure based on entities (people) and a number of attributes and organizational structures to give value to the represented data.
Source code in the /docs
directory of the repository. Changes are implemented directly in the project website in: https://manuparra.github.io/knowledgegraphs/
JSON database, organized following the next (entity name, projects, expertise):
{
"name": "person.ManuelParra",
"projects": [
"org.CERN.EP_NU.DUNE",
"org.CERN.IdeaSquare",
"org.CERN.EP_NU",
"org.CERN"
],
"expertise": [
"programming.Python",
"programming.JS"
]
}
[Testing with this release]
JSON database, organized following the next (entity name, projects, institute, residence, contact, expertise):
{
"name": ["ipt.CharlotteQin"],
"projects": ["CERN.IdeaSquare"],
"institutes": ["org.ImperialCollegeLondon","collab.RoyalCollegeofArt"],
"residence": ["London,UK"],
"contact": ["charlotte.qin@cern.ch"],
"expertise": ["design, prototyping, graphics, programming in python and D3js"]
}