I am Groot

Navi Mumbai, Maharashtra | Ontologies and Interactive Network Visualizations

Ontologies and Interactive Network Visualizations

High-Level Project Summary

We developed a network visualization , to find relationship between disparate nasa datasets using metadata described in data.json using ML approaches , KNN and bm25. We also classified the datasets into 11 classes and 75 sub classes. We have also provided visualization tools to show the above.

Link to Project "Demo"

https://docs.google.com/presentation/d/14ectfaWbC1igLp1BClY1fyKEemI5uI4ZetOHsepfiMY/edit?usp=sharing

Link to Final Project

https://github.com/Hitansh159/nasa-ontology

Detailed Project Description

  1. Frontend : d3.js and bootstrap
  2. Backend : flask
  3. Tools : colab , vscode, github
  4. Data : nasa.data.gov/data.json and taxonomy data mentioned in NASA space app challenge resource page
  5. For categorizing data and network visualization : KNN and bm25 ML algorithms are used.
  6. Features: Datasets in data.json categorized into 11 broad classes and 75 sub classes. Interactive visualization provided for the same. Interactive network visualization provided for showing the ontology and relationship among datasets Search functionality is also implemented.

Space Agency Data

https://data.nasa.gov/browse

https://data.nasa.gov/data.json

http://webarchive.loc.gov/all/20111207225100/http:/nasataxonomy.jpl.nasa.gov/xml/subjects.skos

Hackathon Journey

nice could have used bit more time :)

References

https://github.com/nasa?q=concept-tagging&type=&language=&sort=http://webarchive.loc.gov/all/20111207225100/http:/nasataxonomy.jpl.nasa.gov/xml/subjects.skos

https://data.nasa.gov/data.json

Global Judging

This project has been submitted for consideration during the Judging process.

Ontologies and Interactive Network Visualizations

Tens of thousands of NASA datasets are publicly available online, but with so many files available, how can potential users determine those that will meet their needs? Your challenge is to (1) create an ontology to integrate descriptions of disparate NASA data sets, and (2) develop an interactive network visualization to depict relationships among those data sets.