1. KNOWLEDGE GRAPH
THE NEURORGANON APROACH
By Athanassios I. Hatzis, PhD
Tuesday18th of December 2012

2. From Neural Networks
To Concept Networks
NEURON
The fundamental unit of neural networks
NULON and IR
NULON - The Neurorganon Upper Level Ontology
The fundamental upper-ontology for the construction of concept
networks
IR Information Resource/Reference
The fundamental unit of construction in NULON

3. The Problem User Perspective
From
The World Wide Web of Documents
To
The Giant Global Graph of Concepts
From Document sharing to Content sharing
From Document collections to Linked Information
From Hierarchical Structure to Graph Structure
From Document searching to Graph queries
From Document Publishing to Content Publishing
From Anonymous Files to Authoritative Content
From Social Networks to Decentralized Communities

4. The Problem Machine Perspective
View Model (Presentation)
Human Understanding
Graph Model
Concept Modeling
The Gap
Data Model (Representation)
Machine Storage/Access/Retrieval

5. Five Layer Neurorganon Architecture
Data Layer Meta-Data Layer Conceptual Analysis Layer Presentation
(DL) (ML) Layer (CL) (AL) Layer (PL)
Data Sources
Acquisition
Inference
Engine
Engine
Graph Web
Engine Engine
Indexing Statistics
Engine Engine
Graph
Database

6. Implementation
Web Engine (PL) Statistical Engine (AL)
Web Templates Analytical modeling
Indexing Engine (ML)
Information graphics
Interoperability
Inference Engine (AL) Tagging
Reasoning Engine Acquisition Engine (ML)
Search Engine Extraction
Transformation
Graph Engine (CL)
Integration
Logical Layer
Data Sources (DL)
Conceptual Layer Documents
Database Engine (DL) Relational DBs
Graph Database Structured Data