KBpedia Knowledge Structure
 
 
  • Home
  • knowledge Graph
  • SPARQL
  • Background
    • Overview
    • Features & Benefits
    • Data and Knowledge Structures
    • Technology
    • Machine Learning
    • Uses
  • Use Cases
    • Knowledge Graph (KG)
      • Browse the Knowledge Graph
      • Search the Knowledge Graph
      • Expand Queries Using Semsets
      • Uses and Control of Inferencing
    • Machine Learning (KBAI)
      • Create Supervised Learning Training Sets
      • Create Word Embedding Corpuses
      • Create Graph Embedding Corpuses
      • Classify Text
      • Create 'Gold Standards' for Tuning Learners
      • Disambiguate KG Concepts
      • Dynamic Machine Learning Using the KG
    • Mapping
      • Map Concepts
      • Extend KBpedia with Wikipedia
      • Extend KBpedia for Domains
      • General Use of the Mapper
  • Resources
    • Download KBpedia
    • About KBpedia
    • KBpedia FAQ
    • News About KBpedia
    • KBpedia Statistics
    • Additional Documentation
    • Support for KBpedia.
 
 

  • Resources
  • Documentation
 
 

Documentation

Here is some additional documentation related to KBpedia:

  • How to Use the Knowledge Graph
    • Knowledge Graph Search
  • Core Knowledge Bases
  • Extended Mappings
  • Semantic Technologies
  • KKO Upper Structure
  • 30 Core Typologies
  • KKO Structural Components
  • What is KBAI?
  • Data Integration
  • Open Standards.

Additional external documentation related to KBpedia may be found at:

  • Knowledge-based artificial intelligence (KBAI)
  • Clojure
  • Literate programming
  • Ontologies and ontology best practices
  • Charles Sanders Peirce.
 

KBpedia

KBpedia exploits large-scale knowledge bases and semantic technologies for machine learning, data interoperability and mapping, and fact extraction and tagging.

Latest News

  • KBpedia Adds Major eCommerce Capabilities 06/15/2020
  • KBpedia Continues Quality Improvements 12/04/2019
  • Wikidata Coverage Nearly Complete (98%) 04/08/2019

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  • Documentation
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