How Can Associative Semantic Nets Revolutionize Business and Research?

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Discussion Overview

The discussion centers around Associative Semantic Nets, exploring their potential applications in business and research. Participants express varying levels of interest and familiarity with the concept, touching on its relationship to neural networks and semantics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants express interest in Associative Semantic Nets, distinguishing them from neural networks, which are described as algorithms rather than presentations of semantic relations.
  • A participant mentions developing a tool that produces Associative Semantic Nets through statistical analysis, with examples available at SemantiCat.com.
  • Another participant indicates a background in linguistics and a basic understanding of semantic nets, noting their logical structure.
  • Discussion includes the nature of nodes and ribs in semantic nets, with some participants questioning whether ribs can represent words or if they are fixed types of relations.
  • It is noted that in Associative Semantic Nets, ribs can be assigned a numerical value representing the strength of the association between words.
  • One participant expresses their motivations for working on Associative Semantic Nets, citing personal interest, perceived potential, and business aspirations.

Areas of Agreement / Disagreement

Participants generally show interest in Associative Semantic Nets, but there is no consensus on their definitions, applications, or the specifics of their structure. Multiple views on the relationship between semantic nets and neural networks remain contested.

Contextual Notes

Limitations include varying levels of understanding of semantic nets among participants and differing interpretations of their structure and function.

Who May Find This Useful

Individuals interested in linguistics, semantics, artificial intelligence, and those exploring innovative applications of semantic networks in business and research may find this discussion relevant.

fxseminar
Is anybody here interested in Associative Semantic Nets?


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neural nets? sure why not.
 
No, it is not neural net.

Neural net is ALGORITHM while Semantic Nets is PRESENTATION.

Presentation of semantic relations between "concepts" (=words) in the natural language.
 
Okay, I'm interested. Now what? :cool:
 
Now - fine.

Are you developing some project conserned?
 
I'm intregued by general semantics which I have read a bit on. Not the same thing really I'm sure. So are you working on a project concerning this?
 
Yes, I do. I develop a tool producing Associative Semantic Nets by statistical analysis of content.

The example you can see at SemantiCat.com where the Net is used to be a structure of a site.

While that Net is "universal" I'm preparing to produce specialized ones for any given topic.
 
I'm not yet working on any project with them; I just looked up a basic definition. I am studying linguistics but haven't gotten to semantics yet. Semantic nets look like they use logic that I'm familiar with.
 
Logic of semantic nets is based on logic of ANY net (graph): base unit is - two nodes and rib between them.

Then we must interpret what is nodes and what is ribs.

As semantic for us is the branch of linguistics so nodes here are words.

Particularly in ASSOCIATIVE semantic nets rib serves as fixations of the fact of associative relation between words the rib connects.
 
  • #10
Do the ribs themselves represent words? Or are there are few fixed types of relations? I saw x-->instance-->y or Instance(x, y) used a lot. Just glanced through it though.
 
  • #11
They can - in some kinds of semantic nets.
You need to assign some "text" to the rib - only if there are DIFFERENT kinds of ribs in your net.

If ALL ribs means "instance of" then you can simply title your net "instance semantic net".

The same way - in ASSOCIATIVE semantic net sense of all the ribs is "association" between words.

By the way there is another feature: VALUE of association. So in Associative Semantic Net rib is assigned with number, nor "text"!
 
  • #12
Okay, cool. So are you doing this for school, business, fun, ...?
 
  • #13
I'm doing this for a set of reasons:

1. it is interesting for me
2. I guess it's perspective
3. I want to make business on it.
 

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