Cooking with Python and KBpedia

The ‘Cooking with Python and KBpedia‘ series consists of nearly 75 installments that discuss how to pick tools and then use Python for using and manipulating the KBpedia knowledge graph. KBpedia is a unique knowledge system that intertwines seven ‘core’ public knowledge bases — Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc, and standard UNSPSC products and services — for the explicit purpose of providing a computable scaffolding and design for data interoperability and knowledge-based artificial intelligence (KBAI).

The first installments in the CWPK series begin with choices regarding tools and design. Later installations embed working code into interactive Jupyter Notebooks. As developed, code is posted to GitHub for your own use and modification. As installments get published, the ongoing index below will capture the scope and coverage of this ambitious series.

Table of Installments

Part 1: The Baseline System

Part 2: Beginning The Efforts

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Part 3: Basic Extraction and Module Routines

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Part 4: Building from Scratch

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Part 5: Mapping, Stats, and Other Tools

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Part 6: Applications and Machine Learning

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Part 7: Wrap-up

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