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MetaDada

@irregularbi

https://t.co/McY9Yq7p0M Founder, Head of R&D at https://t.co/YXYXmtC1hg - a GenAI data startup (stealth mode), Inventor of Astrato Engine

Veli Lošinj, Croatia Katılım Nisan 2009
3.1K Takip Edilen3K Takipçiler
MetaDada
MetaDada@irregularbi·
🚀 Reaching the next level in AI-Powered Analytics. Combining schema discovery, ontology-based knowledge modeling, semantic enrichment, and GraphRAG, so AI doesn't just query your data, it ✨ *understands your database*. medium.com/p/orionbelt-an…
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Rothmus 🏴
Rothmus 🏴@Rothmus·
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MetaDada
MetaDada@irregularbi·
Working with NanoClaw in Docker for a while now. The setup was a bit of a hassle. However, it now runs perfectly on my M3 Max, and soon I will migrate to a Pi5 with almost no power consumption. What is your experience with #NanoClaw? github.com/qwibitai/nanoc…
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MetaDada
MetaDada@irregularbi·
🤔 What if your AI never hallucinated a table name again? Text-to-SemanticLayer > Text-to-SQL. I built an open-source engine to prove it 👇 @irregularbi/building-orionbelt-an-open-source-semantic-layer-for-the-ai-era-1e4e369dfbb0" target="_blank" rel="nofollow noopener">medium.com/@irregularbi/b…
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Sam Altman
Sam Altman@sama·
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
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MetaDada
MetaDada@irregularbi·
Did a small contribution to the Open Semantic Interchange (OSI) #semanticlayer repo: #event-22776866276" target="_blank" rel="nofollow noopener">github.com/open-semantic-…
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Connected Data
Connected Data@Connected_Data·
Demystifying SKOS for Practitioners: A Practical Guide to Controlled Vocabularies Semantics, standards, and structure: how SKOS, taxonomies, and controlled vocabularies power interoperability, governance, and meaning at scale in modern data ecosystems There is a growing interest in “semantics” among data experts, such as in developing semantic data models and semantic layers. Information professionals, meanwhile, have always been involved with semantics (whether or not they called it that) in developing classification systems, indexes, taxonomies, tagging systems, and metadata schemas. Semantics is about meaning, rather than just strings of text. The same text string can have different meanings in different contexts, and the same concept can be represented by different text strings for different users, use cases, and systems. Thus, control, governance, policies, and standards are needed around semantics, especially when it comes to data and information sharing and interoperability across systems, repositories, and users. Simple Knowledge Organization System or SKOS, a Semantic Web standard, has become the leading data model for consistency and interoperability for knowledge organization systems. SKOS stands for Simple Knowledge Organization System. The concept of a “knowledge organization system” comes from the field of library and information science. According to the International Society for Knowledge Organization (ISKO)’s Knowledge Organization Encyclopedia, knowledge organization systems are functional items designed for organizing knowledge and information, and making their management and retrieval easier…they are basically made of terms/concepts. Broadly defined, knowledge organization systems include term lists with definitions and/or other data (including dictionaries, glossaries, gazetteers, and terminologies) and structured arrangements of terms or concepts (including taxonomies, subject heading schemes, classification schemes, thesauri, and ontologies). Although ontologies are considered knowledge organization systems, they are better known as knowledge representation systems. SKOS supports these various kinds of knowledge organization systems with the exception of ontologies, since there are other standards from the W3C for ontologies to support their greater complexity. SKOS does not support all knowledge organization systems, and we usually refer to what is supported by SKOS as “vocabularies.” Demystifying SKOS for Practitioners: A Practical Guide to Controlled Vocabularies moderndata101.substack.com/p/demystifying… Taxonomy Design Best Practice for Knowledge Graphs: 2024.connected-data.london/talks/taxonomy… Foundation for a Knowledge Graph: Taxonomy Design Best Practices youtube.com/watch?v=gI22e_… -- Connected Data London 2025 brought together leaders and innovators. Were you there? 🎥 Watch the sessions: 2025.connected-data.london 📩 Join the community: connected-data.london Join community legends and new voices in #CDL25 for all things #KnowledgeGraph #Graph #analytics #datascience #AI #graphDB #SemTech #Ontology
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MetaDada
MetaDada@irregularbi·
@CNviolations It walks forward but video is play backwards (reversed)
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Connected Data
Connected Data@Connected_Data·
🧠 Great session from Tom Vout on The Ultimate Guide to Semantic Reasoning & Knowledge-Based AI — enriching data with semantic reasoning for smarter RAG + LLM use cases. #CDL25 🎟️ Still joining us tomorrow? Secure your place 👉 bit.ly/47TN7ks Where do you see semantic reasoning having the biggest impact in your organization? #SemanticReasoning #KnowledgeBasedAI #RAG #LLMs #AI #KnowledgeGraphs #DataEngineering #AICommunity
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MetaDada
MetaDada@irregularbi·
@Connected_Data Connected data to me means the reflection of a part of the reality in a system, which can be used by humans or machines
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SandyCrush❤️
SandyCrush❤️@SandyCrush912·
Fun fact: Nothing starts with P and ends with Y
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Johnny Midnight ⚡️
Johnny Midnight ⚡️@its_The_Dr·
If you are left Brained you see a Chicken, if you are right brained you see a cat!
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Elma
Elma@oelma__·
What do you see, chicken or bird..
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Rumi
Rumi@rumilyrics·
Write first word you see
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