Ontelligence

https://docs.google.com/presentation/d/1_40_BRREuWmmMp3DxTWqUgzgQwfc_fruVWqwkGfmpzI/edit?usp=sharing

https://wayward710.github.io/Ontelligence/Ontelligence/public/

For the user's accessability, a web-based graphical user interface (GUI) is provided to search for desired datasets, and view an interactive graph visualization, made from softwares like GitHub and D3. The visualization is intended to represent the datasets, their characteristics and how they may be related. Data from NASA websites, and metadata files, provided some insights into generic categories that we computably specify in our system.

The provided data has been pre-categorized manually or by some automatic algorithm. Our challenge was to find relationships between the categories based on domain knowledge and also perhaps discover and connect the data with other categories, thereby re-classifying it in more than the provided categories. In doing this, we also discover relationships between the categories themselves.

This model is easy to extend as relationships and concept matching are easy to add to existing ontologies. As a result, this model evolves with the growth of data without impacting dependent processes and systems if something goes wrong or needs to be changed.

If given the opportunity and resources, more advanced technologies such as various approaches in AI, may help create the following vision. Imagine an interactive dynamic graphical system that serves as a one-stop-shop for the public to search, find, retrieve, visualize and learn about various datasets from distinct (but possibly related) projects and NASA missions.The user can see information about each dataset, and how they may be associated with others. 

The solution and the challenge is geared towards the space agency open data. Using the data and the technology enabled us to understand how the underlying data is being used to fulfill user needs.

https://catalog.data.gov/dataset/nasa-data-json

https://data.nasa.gov/data_visualizations.html

https://github.com/nasa/dictionaries/tree/master/thesauri/STI

The challenge was to produce ontologies to model relationships between datasets. This requires thinking about what makes a meaningful relationship between datasets and what relationships are possible. Ontologies usually, are based on the triple construct such as (A concept) HAS (some relationship) TO (a value or another concept) i.e. the emphasis is on describing a concept or a set of concepts connected by a relationship, but not the relationships themselves. Ontologies are not yet ready to efficiently model properties of relationships. The graph DB approach on the other hand allows for such relationships to be described, but they only allow for individual relationships to be described. There are no inference capabilities based on what we possibly know about a domain. While new connections between datasets can be established and new dataset connections can be discovered, it doesn't allow for concept connections to be discovered because graph DBs are not sufficiently abstracted away from the data. Thus, thinking about relationships in such a way and trying to model them in a way which would allow for both dataset and their domain connections to be discovered was a challenge.

1. code.nasa.gov 
2. https://github.com/nasa/api-docs  
3. https://github.com/nasa/code-nasa-gov
4. Example of application of JSON with ontology for web-based visualization: https://ntrs.nasa.gov/citations/20210000030 
5. NASA Scope and Subject Category Guide - https://ntrs.nasa.gov/citations/20000025197
6. https://resources.data.gov/resources/dcat-us/ 
7. https://github.com/linkeddata/rdflib.js/
8. https://www.data.gov/
9. https://webarchive.loc.gov/all/20111207225100/http:/nasataxonomy.jpl.nasa.gov/xml/subjects.skos
10. https://graphviz.org
11. https://obsidian.md/
12. Tiddlymap.org
13. https://d3js.org
14. https://data.nasa.gov/data.json 
15. https://resources.data.gov/resources/dcat-us/
16. https://docs.google.com/presentation/d/10xoC0N1jWOxEFwGml-Ivnn6GYxJ2_tbAZjdl7aRzaI8/edit#slide=id.g774f77fe4b_4_1
17. https://thesai.org/Downloads/Volume10No10/Paper_30-JsonToOnto_Building_Owl2_Ontologies.pdf

#dataviz#nasadictionary#nasathesauri

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