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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.

Interactive notebook pages begin about CWPK #14.

Table of Installments

CWPK #1: Cooking with Python and KBpedia
CWPK #2: What to Expect

Part I: The Baseline System

CWPK #3: Clojure v R v Python
CWPK #4: The Baseline Architecture
CWPK #5: Overview and Installation of Protégé
CWPK #6: Initial KBpedia Inspection
CWPK #7: Getting Familiar with KBpedia Files
CWPK #8: Getting Familiar with the KBpedia Structure
CWPK #9: Installing Python
CWPK #10: Installing a Project Notebook
CWPK #11: Installing a Python IDE
CWPK #12: A Brief Pause to Learn Some Python
CWPK #13: Managing Python Packages and Environments
CWPK #14: Markdown and Anatomy of a Notebook File
CWPK #15: Using Notebooks for CWPK Documentation

Part II: Beginning The Efforts

CWPK #16: Planning the Project
CWPK #17: Choosing and Installing an OWL API
CWPK #18: Basic Terminology and Load KBpedia
CWPK #19: Exploring the API to OWL
CWPK #20: Basic Knowledge Graph Management – I
CWPK #21: Some Accumulated Tips
CWPK #22: Basic Knowledge Graph Management – II
CWPK #23: Text Searching KBpedia
CWPK #24: Introduction to RDFLib
CWPK #25: Querying KBpedia with SPARQL
CWPK #26: Introduction to Knowledge Graph Reasoners

Part III: Basic Extraction and Module Routines

CWPK #27: A ‘Roundtrip’ Philosophy
CWPK #28: Extracting Structure for Typologies
CWPK #29: Extracting Object and Data Properties
CWPK #30: Extracting Annotations
CWPK #31: Reading and Writing Files
CWPK #32: Iterating Over a Full Extraction
CWPK #33: A Python Package, Part I: The Annotation Extractor
CWPK #34: A Python Module, Part II: Packaging and The Structure Extractor
CWPK #35: A Python Module, Part III: Custom Extractions and Finish Packaging
CWPK #36: Bulk Modification Techniques

Part IV: Building from Scratch

CWPK #37: Organizing the Code Base
CWPK #38: Stubs and Starting Files
CWPK #39: I/O and Structural Ingest
CWPK #40: Looping and Multiple Structure File Ingest
CWPK #41: Optimizations and Property Structure Ingest
CWPK #42: Other Structural Considerations
CWPK #43: Logic Testing of the Knowledge Graph Structure
CWPK #44: Annotation Ingest
CWPK #45: Cleaning and File Pre-checks
CWPK #46: Creating the cowpoke Package and Unit Tests
CWPK #47: Summary of the Extract-Build Roundtrip
CWPK #48: Case Study: A Sweeping Refactoring

Part V: Mapping, Stats, and Other Tools

CWPK #49: Mapping External Sources
CWPK #50: Querying External Sources
CWPK #51: Distributed Interactions via Web Widgets - I
CWPK #52: Distributed Interactions via Web Widgets - II
CWPK #53: Intro to Other Tools
CWPK #54: Statistics and Logging
CWPK #55: Charting
CWPK #56: Graph Visualization and Extraction
CWPK #57: Publishing Interactive Notebooks
CWPK #58: Setting Up a Remote Instance and Web Page Server
CWPK #59: Adding a SPARQL Endpoint - Part I
CWPK #60: Adding a SPARQL Endpoint - Part II -

Part VI: Applications and Machine Learning

CWPK #61: NLP, Machine Learning and Analysis
CWPK #62: Network and Graph Analysis
CWPK #63: Staging Data Sci Resources and Preprocessing
CWPK #64: Embeddings, Summarization and Entity Recognition
CWPK #65: scikit-learn Basics and Initial Encoding
More to come . . . .