#KnowledgeBases

2025-11-11

#lispyGopherClimate Archive pending
communitymedia.video/c/screwta
@kentpitman answering some of the questions and comments in this thread:
gamerplus.org/@screwlisp/11553

- several notes on islisp islisp.info/

- Tool reuse versus new #programming
- (modularity versus globality)

- Learning using only symbols?

- questions thread included a discussion of @JohnMashey viz unix

there will be a part 2

#LISP #ISlisp #knowledgeBases #languageChoice #programmingLanguage

pfm 🧘 :mastodont: pfm@edolas.world
2024-11-21
Zetteldeft (together with Org-Journal) helped me record and organise a lot of information. However, last year its development stopped and I've learned about Denote.

Today I'm figuring out how to migrate my knowledge-base to the other tool.

#Emacs #Zettelkasten #KnowledgeBases
2024-11-08

Anybody here know Joe Biden? Or any high-ranking federal figures? I want to encourage them to immediately begin safeguarding critical information in these precious two months before the Project 2025 flunkies start erasing files.

#archive #knowledgebases #libraryofcongress #nationalarchive

Victoria Stuart 🇨🇦 🏳️‍⚧️persagen
2023-09-02

Large language models converge toward human-like concept organization
arxiv.org/abs/2308.15047

* large language models show human-like performance in knowledge extraction, reasoning and dialogue
* LLM organize concepts strikingly similar to how concepts organized in KB such as WikiData
* KB model collective, institutional knowledge
* LLM seem to induce such knowledge from raw text

Title: Large language models converge toward human-like concept organization

Figure 1: A simplified sketch of our experimental protocol.

A vocabulary of 20K words is encoded using a language model and the corresponding entities are fetched from a pre-trained graph embed- ding system.

The resulting vector spaces are then aligned.

After alignment we evaluate retrieval performance in the target vector space.

If retrieval performance is perfect, the spaces are (nearest neighbor graph) isomorphic.

Source: https://arxiv.org/abs/2308.15047
2023-06-18

After the #summerschool is before the next lecture ;-)
In the last #ise2023 lecture we learned how to create simple models with RDFS and learned about the distinction of A-Box and T-Box for RDF #knowledgebases

#knowledgegraphs #RDF #knowledgebase #ai #isws2023 @fizise @KIT_Karlsruhe @enorouzi

Simple example RDF knowledgebase from the last ISE2023 lecture on RDF and RDFS:
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix rdf:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix owl:  <http://www.w3.org/2002/07/owl#> .
@prefix :     <http://example.org/KG2023#> .

:Person 			rdf:type        	rdfs:Class .
:FictionalCharacter 	rdf:type		rdfs:Class .
:Occupation		rdf:type		rdfs:Class .
:Artist			rdfs:subClassOf	:Occupation .
:Scientist			rdfs:subClassOf	:Occupation .

:profession   		rdf:type    	rdf:Property ;
    		rdfs:domain 	:Person, FictionalCharacter ;
    		rdfs:range  	:Occupation .

:Actor			rdf:type		:Artist .
:ScienceOfficer		rdf:type		:Scientist .
:LeonardNimoy    	rdf:type     	:Person ;
				:profession  	:Actor ;
 				rdfs:label  	Leonard Nimoy”@en .
:Spock			rdf:type		:FictionalCharacter ;
				rdfs:label  	"Spock"@en .
				profession		:ScienceOfficer .
François Renaville 🇺🇦🇪🇺fr@mastodon.top
2023-06-08

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