Section Eight

The Word-Topic Database: Wiki & Acquisition 

Human self awareness is a form dependent on the intentional forms we share with others.

— Michael Tomasello

Data: Like a head-word in a dictionary has different word senses, a word-topic in the database has different quadranyms. A wiki populates database.

Different (word sense) quadranyms for the word-topic eat.

  • The quadranym wiki is like a thesaurus.

Quadranym Unit Representation Examples:

Word-Topic: Space(x)

For all x, If  x is space, Then x is:

  • Mode Sets: Expand = infinite ⊇ Reduce = finite
  • State Sets:  Subject = void  ⊇ Object = between

Shorthand:

1) Word-Topic: Space(x)

  • (x)  space(x) [Infinite(void) Finite(between)(x)]

2) Word-Topic: Time(x)

  • (x)  time(x) [Future(present) Past(event)(x)]

3) Word-Topic: Agent(x)

  • (x)  agent(x) [Active(self) Passive(goal)(x)]

4) Word-Topic: Mental(x)

  • (x)  mental(x) [Unknown(knower) Known(knowable)(x)]

5) Word-Topic: Locomotion(x)

  • (x)  locomotion(x) [Move(position) Stay(place)(x)]

6) Word-Topic: Door(x)

  • (x)  door(x) [Open(passage) Close(barrier)(x)]

Database Examples: (Spatial set with random quadranyms.)

Topic

Expansive

Reductive

Objective

Subjective

space

infinite

finite

between

void

time

future

past

event

present

distance

far

near

relation

position

direction

there

here

to

from

door

open

close

barrier

passage

container

out

in

full

empty

energy

active

passive

matter

motion

friend

affection

genial

companion

self

reside

move

stay

visit

live

perception

stimuli

select

organize

interpret

logic

proposition

conclusion

evidence

argument

scientific

hypothesis

fact

law

theory

science

prediction

test

analysis

hypothesis

Data Holds the Key: A word-topic is more than just a quadranym unit. The quadranym unit addresses the basic dimensions involved. Still, additional contextual inferences are required by all word-topic realms. A realm contains a knowledge graph that allows word-topics to adapt to different contexts.

  • A wiki allows users to collaborate and modify data. 
  • Domains and realms can be specialized data projects.
  • The goal is interoperability between data projects.

Discrete systems with distinct topical orientations can be developed. Discrete systems work together to improve the word-topic data. Topical interoperability is the ability to adopt or reject the topical orientations of other systems. Competitive performance comparisons advance schemes.

The Quadranym Wiki: Users upload and edit quadranyms. 

  • There can be a list of quadranyms for any one Topic.

Model

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