CLOSED LOOP INTERVAL ONTOLOGY
       The Digital Integration of Conceptual Form
TzimTzum/Kaballah | Loop definition | Home | ORIGIN    
Please sign in
or register

Email *

Password *

Home | About

Select display
Show public menu
Show all theme groups
Show all themes
Show all terms
Order results by
Alphabetical
Most recently edited
Progress level
Placeholder
Note
Sketch
Draft
Polished


Searches selected display

The Many Forms of Many/One
Universal conceptual form

Invocation
Aligning the vision

Project under development
Evolving and coalescing

Guiding motivation
Why we do this

A comprehensive vision
Ethics / governance / science

Cybernetic democracy
Homeostatic governance

Collective discernment
Idealized democracy

Objectives and strategy
Reconciliation and integration

Reconciliation of perspectives
Holistic view on alternatives

What is a concept?
Definitions and alternatives

Theories of concepts
Compare alternatives

What is truth?
How do we know?

Semantics
How meaning is created

Synthetic dimensionality
Foundational recursive definition

Universal hierarchy
Spectrum of levels

A universal foundation
The closed loop ensemble contains
all primary definitions

Set
Dimensions of set theory

Numbers
What is a number?

Venn diagrams
Topology of sets

Objects in Boolean algebra
How are they constructed?

Core vocabulary
Primary terms

Core terms on the strip
Closed Loop framework

Graphics
Hierarchical models

Digital geometry
Euclid in digital space

The dimensional construction
of abstract objects
Foundational method

The digital integration
of conceptual form
Compositional semantics

Closed loop interval ontology
How it works

Cognitive science
The integrated science of mind

Equality
What does it mean?

Formal systematic definitions
Core terms

Data structures
Constructive elements
and building blocks

Compactification
Preserving data under transformation

Steady-state cosmology
In the beginning

Semantic ontology
Domain and universal

Foundational ontology
A design proposal

Coordinate systems
Mapping the grid

Articles
From other sources

Arithmetic
Foundational computation

Plato's republic and
homeostatic democracy
Perfecting political balance

Branching computational architecture
Simultaneity or sequence

Abstract math and HTML
Concrete symbolic representation

All knowledge as conceptual
Science, philosophy and math
are defined in concepts

Does the Closed Loop
have an origin?
Emerging from a point


Theme
Challenges to foundational ontology
Placeholder

Definition / description

While the use of knowledge bases is rapidly gaining industrial interest, ontologies are by and large still a fringe technology in most industries. A major impedi9 ment for industrial uptake is often attributed to the lack of scalable knowledge engineering tools and methodologies. Moreover, the development, maintenance, and use of knowledge bases and the tools and methods that are built to support these tasks usually require considerable specialist training. Enterprises that wish to explore the benefits of using semantic technologies will likely lack the necessary competence and will find that there are a few off-the-shelf ontologies, tools, and methodologies that fit their existing system architecture and information flow. The SKALE workshop wants to attract and stimulate novel research and innovative advances of semantic technologies with the aim of making these technologies more easily accessible to and useful for modern data-driven industries. The workshop also wants to investigate where the real world problems are, and where and what are the current show-stoppers for efficient large-scale deployments of ontology-based information systems?

**********

MAINTAINING MODULAR SEPARATION

In the area of ontologies for Knowledge representation and reasoning, knowledge is rarely considered as a monolithic and static structure: partitioning knowledge into distinct modular structures is central to organize knowledge bases, from their design to their management, from their maintenance to their use in knowledge sharing.

Moreover, keeping knowledge in separate modules is essential for representing and for reliable and effective reasoning in changing situations. Finally, evolution of knowledge resources, in terms of updates by newly acquired knowledge, is an important factor influencing the meaningfulness of stored knowledge over time.

Considering these emerging needs, the International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE) offers the ground to practitioners and researchers to discuss current work on practical and theoretical aspects of modularity, contextuality and evolution of ontology based knowledge resources.

http://ceur-ws.org/Vol-2708/preface.pdf

Hide Placeholder Note Sketch Draft Polished

Fri, Apr 23, 2021