Mastodawn

Semantic Knowledge Is Key To Human Innovation

Neuroscience News A new study has isolated the foundational cognitive engine driving human creativity and technological advancement. The research demonstrates that our “semantic knowledge”, the internal cognitive map of how concepts connect and apply to one another, is the absolute precondition for meaningful invention. By combining computer modeling of cultural development with a human trial of over 1,200 participants, investigators proved that without an underlying understanding of […]

https://onlinemarketingscoops.com/2026/06/02/semantic-knowledge-is-key-to-human-innovation/

Semantic Knowledge Is Key To Human Innovation

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дблп - ☮ Stop the war!3d ago

A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml

DROPS

Syed Raheel Shahzad 5d ago

Ask SRS is now live.

Questions deserve more than noise.

Ask questions.
Start discussions.
Submit articles.
Read essays.

A moderated reader platform connected to the official author website, books, essays, and long-form work of Syed Raheel Shahzad.

ask.syedraheelshahzad.com

#AskSRS #SyedRaheelShahzad #AuthorWebsite #Books #Essays #Questions #Discussions #TheSourceOfTruthSystem #HumanTransformation #SystemsThinking #KnowledgeGraph

Javier Murcia Zomeño May 26

Una de las partes más interesantes del proyecto:

👉 el sistema empezó a “entender” cosas que yo no definí explícitamente

Gracias a las conexiones con DBpedia “aprendió” que:

• Mármol
• Ladrillo
• Acero

👉 son materiales de construcción

Y automáticamente:

✔ Se pueden crear filtros
✔ Se pueden agrupar monumentos
✔ Se pueden generar relaciones nuevas

Sin etiquetado manual, un sistema que puede inferir.

Demo [https://javiermurcia.tech/lab/patrimonio-region-murcia/monumentos-murcia-entidades-extraidas.html]

#AI #KnowledgeGraph #DataDiscovery #Dbpedia

Zenn Trends May 25

🕐 2026-05-25 13:24 UTC

📰 AIエージェントが毎回データを取りに行く設計の限界 (👍 17)

🇬🇧 Why AI agent PoCs break in production, and how a memory-first design can beat slow, inaccurate scatter-gather architectures.
🇰🇷 AI 에이전트 PoC가 운영에서 느리고 부정확해지는 이유를 짚고, 이를 넘기 위한 메모리 중심 설계를 소개합니다.

🔗 https://zenn.dev/knowledge_graph/articles/kg-agent-memory-first-design

#Zenn #AI #Agent #KnowledgeGraph

AIエージェントが毎回データを取りに行く設計の限界

Zenn

TRAK Architecture Framework May 21

2026-05-16 release of TRAK metamodel. Changes - https://sourceforge.net/projects/trakmetamodel/files/#user-content-15th-may-2026

Graph shows graph describing the changes made. Held in Neo4J graph database as part of the model of TRAK https://trakmetamodel.sourceforge.io

#trak #opensource #architectureframework #neo4j #graph #knowledgegraph #enterprisearchitecture

VISHAKHA MOTHIYA May 19

આપણે કરાટે કે માર્શલ આર્ટ કરતા વ્યક્તિના હાથમાં સાંકળથી જોડાયેલી બે નાની દાંડિયા જેવી લાકડીઓ જોઈ હશે, એને Nunchaku ~ નનચાકુ અથવા તો નનચક્સ કહેવામાં આવે છે.

It's a martial art weapon.

વિશ્વ વિખ્યાત માર્શલ આર્ટ હીરો બ્રુસ લીની એક્શન ફિલ્મોમાં તે આ નનચાકુ વડે ફાઇટ કરતા અચુક જોવા મળે છે.

@south_asia_bazaar

#InformativeContent #martialartstraining #martialartist #nunchaku #JustKnowledge #Gujaratis #generalknowkledge #educational #knowledgesharing #amazingfacts #bruceleelegacy #selfdefencetraining #japaneseculture #informativer #knowledgegraph #kungfu

Javier Murcia Zomeño May 19

Un error común en proyectos de datos:

👉 pensar que el modelo ya viene dado

En mi caso, ni DBpedia ni Wikidata encajaban del todo.

Así que diseñé una ontología propia para patrimonio monumental.

Una ontología es una forma de entender el dominio.

Permite:
✔ Homogeneizar datos.
✔ Definir relaciones coherentes.
✔ Escalar el modelo.

Con esto, se convierte en:
👉 un sistema con significado

Artículo [https://javiermurcia.tech/transformando-el-patrimonio-de-murcia-de-xml-estatico-a-web-semantica-inteligente/]
Demo [https://javiermurcia.tech/lab/patrimonio-region-murcia/]

#Ontology #KnowledgeGraph #DataModeling

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algodesigner May 19

🧵 (2/2) Forked the project closest to the vision and dived into coding: hybrid search, incremental builds, better relevance scores, source-vs-test prioritisation. It already cuts through a lot of noise grep subjects you too.

The pencilled roadmap is Agents → Knowledge Base → Advanced memory → Dream Machines…

#RAG #KnowledgeGraph #LocalFirst #AgenticMemory #TokenEfficiency #AI