It's a concise, adaptable, extensible, flexible framework for setting topic-related context. The tight KnowledgeBase's single purpose is to test the network. The network can be copied to any KnowledgeBase. Just as important, note that the KnowledgeBase also identifies user input that is considered off-topic, though in a disguised way:MikeA wrote:...What is the aim?
Mapestone wrote:You can add another food related topic:
== Snacks aka: snack, snacks, munchies
==== ako: potato chips, popcorn, (cookies), (candy)
Which would catch this:
U: I finish my day with a bedtime snack.
V: I like snacks. Especially potato chips.
The framework is easily applied to other small talk topics:
I'm looking forward to seeing your work with databases. I believe entity models in a relational database with a Verbot front end will be phenomenal.MikeA wrote:... I am attemtping using a database...idea that entailed linking...
Mapestone wrote:I'm looking forward to seeing your work with databases. I believe entity models in a relational database with a Verbot front end will be phenomenal.
Mapestone wrote:I've been evaluating doubly linked lists using synonyms. More to come.
You know the old saw; It starts with inspiration, then comes the perspiration. Or the expiration.MikeA wrote:... I'm still confident what I'm trying to do can work....
Yes, please add that to your list. Doubly linked (Verbot context) is one of those fun phrases used to ID things humans do all the time, in the category of inherently obvious (no thinking required). For example:MikeA wrote:doubly linked... I will see if I can remember and then post what I had ...
Mapestone wrote:..... Doubly linked (Verbot context) is one of those fun phrases used to ID things humans do all the time, in the category of inherently obvious (no thinking required). For example:
Human: "I got some milk at the grocery store. On the way home I realized the carton was leaking, so I went back to get another one."
Obvious to a human. Verbot-ization could include:
A grocery store has milk (synonym list).
If you need milk, go to the grocery store (synonym reverse look up).........
Focus is good MikeA. Here's my guess at a solution:MikeA wrote:...my focus on db ...
Did you get (at [itemStore]) while you were at the [itemStore]?
Did you get (at [itemStore]) while you were at the ([item]Store)?
Sorry I wasn't clear MikeA. It takes some work to figure this out, but worth the effort (imho). The knowledgebase was written such that the form shown is correct: Did you get (at [itemStore]) while you were at the [itemStore]?MikeA wrote:... Not trying to be picky, just checking I understand. ... My only initial concern is how often it will be necessary to repeat words. I wonder if there is a way around this.
Repeating words is a problem. The challenge is in finding a simple, reusable, and better solution.
Mapestone wrote:Reverse lookup with a single synonym set would require an external program. I'm happy working with the alternative you've shown: two or more complementary synonym sets.
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