Connected Data World @Connected_Data
Connecting Data, People & Ideas since 2016. Using relationships, meaning, context in Data to achieve great things #KnowledgeGraph #GraphDB #AI #SemTech connected-data.world The World Joined April 2016-
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Prompt engineering Large Language Models with Knowledge Graphs, using DSPy DSPy is an open source framework for algorithmically optimizing LLM prompts and weights. It promises less prompting, higher scores, and a more systematic approach to solving hard tasks with LLMs.…
The Open Research Knowledge Graph Symposium Over the past five years, the Open Research Knowledge Graph has emerged as a transformative force in the realm of scholarly communication, empowering researchers worldwide to navigate the vast landscape of scientific knowledge. With…
A taste of our #KnowledgeGraphs & #LLMs #Meetup last night Amazing speakers, energy, and audience If you missed it, worry not - recordings are coming. More Meetups in the works, and the return of our iconic conference coming up #FridayMood #AI linkedin.com/feed/update/ur…
Our 3rd and final speaker of the evening @oxfordsemantic giving a love demo of an LLM-KG powered recipe chatbot powered by RAG architecture and underlying RDF powered reasoning
Our second speaker of the evening Adam Wangrat Lead Knowledge Engineer @NeuralAlpha takes the stage to talk about applying graph, LLM & rag to ESG investing requirements
We're underway at our packed meetup on all things graph, LLM and RAG. Standing room only at @BeameryHQ
Entity Resolved Knowledge Graphs: A Tutorial Organizations building knowledge graphs have been plagued by duplicate nodes that dilute the power of their graph. Even the best technical teams have had difficulty getting these duplicate nodes resolved. The solution to this…
How Graph RAG and rules-based #AI can power expert chatbots and other applications Join our #Meetup to explore how to improve the accuracy of #LLMs by implementing a RAG approach using RDFox - @oxfordsemantic #knowledgegraph w embedded semantic reasoner meetup.com/connected-data…
Graph databases have emerged as a powerful tool for managing interconnected data Interested in exploring the multitude of #GraphDB options? Data modeling Use cases Developers Performance & scale IT operations Native vs multi-model #Webinar #Freebies buff.ly/3JwzRVJ
🈂 Decoding Kanji Relationships Our friends at Graph Geeks are hosting Michelle Yi as she dives into a fusion of word embeddings, similarity measures, and graph exploration. #Analytics #DataScience #DataVisualization webinar.zoho.com/meeting/regist…
🔥 Connected Data London is coming in hot🔥 🕵️♂️ Will you be there? Let us know - we'd love to set up a meeting! 📣 How Graph RAG and rules-based AI can power expert chatbots and other applications hubs.li/Q02tBh3t0
How is the Connected Data community evolving? Where are people coming from, and what is their interest in Knowledge Graphs, Graph Databases, AI & Data Science and Semantic Tech? These are the questions we set out to address when we announced the return of Connected Data in…
GQL, a new standard in Graph query languages, is officially announced by the ISO This will help interoperability & adoption for graph Here is a compilation of resources to learn more about the past, present & future of this effort #GraphDB #Innovation buff.ly/3xIJVIJ
Knowledge Graphs x LLMs for Human Resources: automating the (once) impossible Much has been written about the ability of LLMs and Knowledge Graphs to work hand in hand. On the one hand you have Large Language Models that provide previously unimaginable flexibility and…
Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when…
In praise of RDF RDF is a data model, a knowledge representation system, a web standard & a data exchange format Used to build #knowledgegraphs & #LLM-based applications @semihsalihoglu describes its virtues, vices, history & applications #AI #GraphDB buff.ly/49DJWus
Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph Nvidia introduced WholeGraph as a breakthrough designed to optimize memory storage & retrieval for large-scale #GNN training This post evaluates its performance #AI #EmergingTech buff.ly/4cUrpNp
Aaron Bradley @aaranged
11K Followers 1K Following Structured Content Architect at @telusdigital. Knowledge graph enthusiast, search veteran, compulsive categorizer. Armchair Q9149093. I like to cook!Adrian Gschwend @linkedktk
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4K Followers 5K Following Philologist fascinated by digital text on the Semantic Web. I research semantic technology for dialogic marketing communication. Author of The Brave New Text.Kirk Borne @KirkDBorne
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3K Followers 4K Following #KnowledgeGraph developer - from concept to implementation. Lead Knowledge Engineer at @BeameryHQ. Founder of @atomgraphhqESWC Conferences @eswc_conf
3K Followers 776 Following The official account of the Extended Semantic Web Conference. 🗓️ ESWC 2024 - 21st edition | May 26-30 | Hersonissos #ESWC2024Charly Wargnier @DataChaz
112K Followers 31K Following 🥑 DevRel @Streamlit @SnowflakeDB 🪶 𝕏 about #LLMs, #AI, #DataScience, #WebApps, #SEO 💕 My heart is open source 🌍 Nature Lover 👀 My views!Ontotext @ontotext
6K Followers 4K Following @OntotextGraphDB-powered knowledge graphs. For the enterprise.The Knowledge Graph C.. @KGConference
4K Followers 1K Following KGC brings together leaders across industry and research defining the future of knowledge graphs, LLMs, and AI.Kingsley Uyi Idehen @kidehen
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611 Followers 545 Following Semantic tech nerd, based in 🇳🇴. In awe of typography and LaTeX. Mother of two. Huntress. Boardgames and whisky. ❤️ @egil_bjrn ❤️SEMANTiCS Conference @SemanticsConf
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1K Followers 338 Following Chief Data Architect at Ontotext. Semantic web, data modeling, integration, knowledge graphs. Cultural heritage, DBpedia, Wikidata, financial, legal...Harald Sack @lysander07
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81 Followers 151 Following One day you’ll leave this world behind, so live a life you’ll remember... The Night ~ AviciiAaron Bradley @aaranged
11K Followers 1K Following Structured Content Architect at @telusdigital. Knowledge graph enthusiast, search veteran, compulsive categorizer. Armchair Q9149093. I like to cook!Adrian Gschwend @linkedktk
3K Followers 671 Following Co-founder and director of http://t.co/BRPL3Nbagz, I'm doing cool stuff with Linked DataTeodora Petkova @TheodoraPetkova
4K Followers 5K Following Philologist fascinated by digital text on the Semantic Web. I research semantic technology for dialogic marketing communication. Author of The Brave New Text.Kirk Borne @KirkDBorne
447K Followers 6K Following Advisor to startups. Freelancer. Global Speaker. Founder @LeadershipData. Top influencer in #BigData #DataScience #AI #IoT #ML #B2B. PhD Astrophysics @CaltechDan Brickley @danbri
12K Followers 13K Following Technologist. DAN do anything now! Standards, open data, interoperability. Schenas, FOAF, Linked information. “He/him” but “them” where gender irrelevant 😷Martynas Jusevičius @namedgraph
3K Followers 4K Following #KnowledgeGraph developer - from concept to implementation. Lead Knowledge Engineer at @BeameryHQ. Founder of @atomgraphhqOntotext @ontotext
6K Followers 4K Following @OntotextGraphDB-powered knowledge graphs. For the enterprise.Veronika Heimsbakk @veronikaheim
611 Followers 545 Following Semantic tech nerd, based in 🇳🇴. In awe of typography and LaTeX. Mother of two. Huntress. Boardgames and whisky. ❤️ @egil_bjrn ❤️Neo4j @neo4j
45K Followers 4K Following Leader in Graph Database & Analytics. Developers: https://t.co/XrnpLCVglr. Our community: https://t.co/mWzXAcVzve Same handle on all other platforms.Juan Sequeda @juansequeda
6K Followers 996 Following Principal Scientist @datadotworld 🎙@HonestNoBSData podcast host @UTCompSci PhD, Research in Knowledge Graph & Data Integration, Prev founder @Capsenta 🇺🇸🇨🇴Michael Bronstein @mmbronstein
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2K Followers 2K Following The creators and developers of RDFox, a high performance knowledge graph and semantic reasoning engine. https://t.co/AmHBorZmuznn @thssowow
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31 Followers 65 Following #mom #M.Sc.#electrical engineer #engage with passion #IT #cloud #solutions driven #authentic #explorer #harmony #traveler #dynamic #persistent No pain no changeA framework for evaluating Retrieval-Augmented Text Generation for #LLMs & Graph #RAG grows in complexity It can be organized paradigm into categories SURGE uses #GNN to extract subgraphs from #knowledgegraph, achieving customization #EmergingTech #AI buff.ly/445bLe2
Great work, loved DSPy, will give a try soon, too.
Prompt engineering Large Language Models with Knowledge Graphs, using DSPy DSPy is an open source framework for algorithmically optimizing LLM prompts and weights. It promises less prompting, higher scores, and a more systematic approach to solving hard tasks with LLMs.…
I thoroughly enjoyed an excellent presentation by @sebastianmxnt at the @Connected_Data meetup hosted by @BeameryHQ_Eng .
Gartner DBMS Market Share Ranks 2011-2023 @neo4j and @TigerGraphDB on the rise Would also be interesting to explore how much graph is contributing to the growth of other vendors, but data granularity data does not permit #GraphDB #Market #Analysis buff.ly/3JxYz87
Gartner DBMS Market Share Ranks 2011-2023, including #GraphDB vendors
Gartner DBMS Market Share Ranks 2011-2023 @neo4j and @TigerGraphDB on the rise Would also be interesting to explore how much graph is contributing to the growth of other vendors, but data granularity data does not permit #GraphDB #Market #Analysis buff.ly/3JxYz87
Graph databases have emerged as a powerful tool for managing interconnected data Interested in exploring the multitude of #GraphDB options? Data modeling Use cases Developers Performance & scale IT operations Native vs multi-model #Webinar #Freebies buff.ly/3JwzRVJ
Visualizing Automatically Generated AI Semantic Networks #LLM-based tool that offers: 🧠 Entity and Relationship Generation 📊 Advanced Metrics 📝 Long-form Sitemap Creation ☋ Downloadable results #DataVisualization #AI #EmergingTech #NetworkScience buff.ly/44bhv68
🔥 Connected Data London is coming in hot🔥 🕵️♂️ Will you be there? Let us know - we'd love to set up a meeting! 📣 How Graph RAG and rules-based AI can power expert chatbots and other applications hubs.li/Q02tBh3t0
@Connected_Data We need less "generative AI" and more "organizing AI" x.com/semanticbeeng/…
@ChenShani2 @ChombaBupe Good summary of types of ML But no word on #knowledgegraph-s & embeddings? Only a footnote about "Learning entity and relation embeddings for knowledge graph completion"! A spoon of #knowledgeengineering could prevent a ton of GPU hiring & create more #smartdata @keenuniverse
@ChenShani2 @ChombaBupe Good summary of types of ML But no word on #knowledgegraph-s & embeddings? Only a footnote about "Learning entity and relation embeddings for knowledge graph completion"! A spoon of #knowledgeengineering could prevent a ton of GPU hiring & create more #smartdata @keenuniverse
🌍 Delve into the economic intricacies of global trade with the Observatory of Economic Complexity (OEC)! Explore over 50 years of international trade data through interactive visualisations, including specialised product networks. #graph #networks #data buff.ly/3W8JYrg
“we challenge the widespread idea that graph theory is a universal analysis tool, uniformly applicable to any kind of network data. Instead, we show that many classical graph metrics […] arise from a common hidden propagation model: the discrete cascade”
Dynamics and networks! doi.org/10.1063/5.0202…
GQL, a new standard in Graph query languages, is officially announced by the ISO This will help interoperability & adoption for graph Here is a compilation of resources to learn more about the past, present & future of this effort #GraphDB #Innovation buff.ly/3xIJVIJ
In praise of RDF RDF is a data model, a knowledge representation system, a web standard & a data exchange format Used to build #knowledgegraphs & #LLM-based applications @semihsalihoglu describes its virtues, vices, history & applications #AI #GraphDB buff.ly/49DJWus
Optimizing Memory and Retrieval for Graph Neural Networks with WholeGraph Nvidia introduced WholeGraph as a breakthrough designed to optimize memory storage & retrieval for large-scale #GNN training This post evaluates its performance #AI #EmergingTech buff.ly/4cUrpNp
Score +1 for the “AI is just linear algebra” camp Score -1 for anyone who thinks they know what 2025 will bring
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models Significantly improved finetuned perf by simply changing the initialization of LoRA's AB matrix from Gaussian/zero to principal components of W repo: github.com/GraphPKU/PiSSA abs:…
@Connected_Data is offering a chance to win a free ticket to an event Connected Data London, making a comeback in Autumn 2024! Here's your chance to win a ticket to Connected Data World flagship 2024 event (Survey at bottom of page). connecteddataworld.com/connected-data…
Constructing Knowledge Graphs: A Guide to Using OpenAI and Pyvis KGs offer a powerful tool for data exploration & insights This guide introduces concepts & details the creation process using #LLMs #AI #DataScience #KnowledgeGraph #Python #Tutorial buff.ly/498FFix
Talk like a graph: Encoding graphs for large language models Teaching #LLMs to reason w graphs Performance depends on: 1) The graph encoding method 2) The nature of the graph task 3) The structure of the graph #AI #Research #EmergingTech #DataScience buff.ly/3TgE5Ft