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Data and Knowledge Modeling

Representing and codifying knowledge -- using a combination of logical constraints and notions of classes, instances, and types -- is at the heart of data science. Whether nodes and edges in a graph, tables in a spreadsheet, or feature matrices in machine learning -- one must be able to codify data and its properties in a structured fashion. This module covers the essentials of knowledge representation, knowledge graphs, and, most prominently, schema design.

Directory Contents

  • Data modeling and knowledge representation materials:

    • DATA-KNOWLEDGE-MODELS-schemas-classes-instances-basic slides.
    • DATA-KNOWLEDGE-MODELS-schemas-classes-instances-basic companion Jupyter notebook.

  • Homework notebook

Release History

  • Initial release, Susan Davidson and Zachary Ives, University of Pennsylvania, February 2020.