AnjaneyaTripathi/ontology-knowledge-graph
A basic implementation of ontologies and knowledge graphs.
This helps you structure complex information by first defining the general characteristics and relationships within a subject area, like properties of 'humans' or 'cricket teams'. You input these general definitions (ontologies) and then add specific real-world data points to create a visual map (a knowledge graph) that shows how everything is connected. This is for anyone who needs to organize and visualize detailed, interconnected information, such as researchers, data analysts, or information architects.
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Use this if you need to build a structured representation of information, first by defining general concepts and then populating them with specific instances, to visualize complex relationships.
Not ideal if you just need to store unstructured text or simple tables without defining their underlying conceptual relationships.
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Jupyter Notebook
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Last pushed
Apr 05, 2021
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