https://github.com/imartinezl/knowledge-map
Knowledge Concept Map
https://github.com/imartinezl/knowledge-map
data-science knowledge-graph knowledge-map mindmap ontologies
Last synced: 3 months ago
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Knowledge Concept Map
- Host: GitHub
- URL: https://github.com/imartinezl/knowledge-map
- Owner: imartinezl
- License: mit
- Created: 2019-11-28T11:09:27.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-10-29T00:11:53.000Z (7 months ago)
- Last Synced: 2025-10-29T02:28:30.786Z (7 months ago)
- Topics: data-science, knowledge-graph, knowledge-map, mindmap, ontologies
- Language: JavaScript
- Homepage: https://imartinezl.github.io/knowledge-map/
- Size: 7.31 MB
- Stars: 9
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Knowledge Map
Mindmap of every concept, idea, technique, I had contact with, or interact in some way.
This could represent the concepts I can talk about, with less or more detail and competence.
*Notes*:
This is not a resource manager. It will only contain the name of the concepts.
Could be interesting to include tools related to those concepts, but I am not so sure about it
Cool options to have: interact with the mindmap on the web, and save different versions of the map on git for every change in the map, maybe?
*Available tools for mindmap generation*
- [Mermaid.js](https://mermaid-js.github.io/mermaid/#/)
- [GoJS](https://gojs.net/latest/index.html)
- [d3-mindmap](https://github.com/jdebarochez/d3-mindmap)
- [Mindmeister](https://www.mindmeister.com/)
- [FreeMind](http://freemind.sourceforge.net/wiki/index.php/Main_Page)
- [MindJet](https://www.mindjet.com/es/)
- [React-mindmap](https://github.com/learn-anything/react-mindmap)
- [Markmap](https://github.com/dundalek/markmap)
## Data Science Ontology
- [IBM + Stanford Data Science Ontology](https://github.com/IBM/datascienceontology)
- [Big Data Analytics Ontology](https://www.researchgate.net/publication/324957763_Big_Data_analytics_ontology)
- [Ontologies for Data Science](https://link.springer.com/chapter/10.1007/978-3-030-14401-2_16)
- [Open Research Knowledge Graph](https://projects.tib.eu/orkg/)
- [Mining Knowledge Graphs from Text](https://kgtutorial.github.io/)
- [Semantic Flow Graphs for Data Science](https://github.com/epatters/semanticflowgraph)
- [Where Ontologies End and Knowledge Graphs Begin](https://medium.com/predict/where-ontologies-end-and-knowledge-graphs-begin-6fe0cdede1ed)
- [Data Fabric for Machine Learning](https://towardsdatascience.com/the-data-fabric-for-machine-learning-part-1-2c558b7035d7)
- [Knowledge Graph: The Perfect Complement to Machine Learning](https://towardsdatascience.com/knowledge-graph-bb78055a7884)
- [Reconciling Your Data and the World with Knowledge Graphs](https://towardsdatascience.com/reconciling-your-data-and-the-world-with-knowledge-graphs-bce66b377b14)
- [Artificial Intelligence Landscape](https://www.researchgate.net/publication/332471378_Artificial_Intelligence_Landscape_-_An_Introduction_in_Technology_Fields_Research_Areas)