Juan Sequeda

How can we further increase the accuracy of LLM-powered question answering systems? Ontologies to the rescue! That is the conclusion of the latest research coming from the @datadotworld AI Lab with @WorkingOntology Paper: arxiv.org/abs/2405.11706 🧵 describing the results

Beyond Context Graphs: How Ontology, Semantics, and Knowledge Graphs Define Context What are context graphs, what are they good for, and why are they dubbed AI’s trillion-dollar opportunity? What does context mean actually, and how can it be defined using graphs and ontologies? And how can different types of graphs and graph technologies power AI? Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in the graph technology space are making progress, while graph is becoming the fastest growing segment in AI research. A comprehensive, up-to-date repository, visualization, and analysis of offerings across the graph technology space has been unveiled. New and existing combinations of Graphs and AI are being used to power use cases such as software engineering productivity and supporting enterprise needs at Netflix scale. New graph database products, features, and benchmarks are available. Use cases as well as research and development on ontologies are on the rise too, including topics such as Enterprise Architecture, visual tooling, and quality assessment for LLM-assisted use of ontologies. And yet, the most widely discussed topic in the world of graph technology – and beyond – for this past couple of months has been context graphs. So what are context graphs and where do they fit in the graph technology landscape? In this issue of the Year of the Graph, we explore progress in Ontology, Semantics, Knowledge Graphs, Graph Databases and Analytics, and how these technologies can help define context and power AI. Read here 👉 yearofthegraph.xyz/newsletter/202… cc @SteveHedden @lettria @BarrasaDV @AlexanderErdl @raphaelmansuy @AvagyanVitali @shasbe @Franzinc @SurrealDB @cognee_ @michael_galkin

My #HonestNoBS takeaways for @Gartner_inc Data & Analytics 2026 open.substack.com/pub/juansequed…

Your data should speak your language with Säde Haveri x.com/i/broadcasts/1…

I just finished posting my 20 lessons from 20 years of building ontologies and knowledge graphs, every day on LinkedIn. I compiled all the links here: juansequeda.substack.com/p/the-20-lesso…

It's Friday Feb 6, Juan and Tim rant about data x.com/i/broadcasts/1…

I caught up with Juan Sequeda at his bar in Austin, Texas a few days after Data Day Texas to talk about lessons from 20 years of building ontologies and knowledge graphs. He is an absolute font of knowledge in this space and it was awesome to chat with him once again. #ontology #knowledgegraph #juansequeda #datadaytexas

It's Friday, Juan and Tim rant time with Data Day Texas takeaways x.com/i/broadcasts/1…

I’ve been posting on LinkedIn every day details of each lesson from my talk “20 Lessons from 20 Years of Building Ontologies and Knowledge Graphs”. I’ll working on a single article that puts all the lessons together that I’ll publish on Substack. So stay tuned. In the meantime, you can read about each lesson on LinkedIn linkedin.com/posts/juansequ…

@RobertsPaige @DataDayTexas en.wikipedia.org/wiki/GOFAI

Great new acronym from @juansequeda at @DataDayTexas GOFAI. Good Old-Fashioned #AI. Basically it means everything we called AI before #LLMs Aka ok school rules-based AI plus #ML.

Just gave this talk at @DataDayTexas and these are the 20 Lessons. open.substack.com/pub/juansequed…

Random thought on context graphs: if they are about explaining not just what happened, but why it was allowed to happen…. Who explain they why of the why? It will be survivor bias. What about the decisions made to pick one decision over another. Meta meta.

My #HonestNoBS raw thoughts on Context Graph: I like that it treats knowledge as a first class citizen. Decisions are knowledge I call BS on the hype 1) it’s a feature for existing platforms 2) these are people problems 3) to get it to work you need to boil the ocean 4) so what? The use cases on what to do with the decision maps are not clear.

Sunday thought: Data and Tech world is so obsessed with… data and tech. Not surprised. But remember, that’s just a means to an end so people can do their best work.

For everyone excited about Knowledge Graphs and Ontologies: check out this talk on the History of Knowledge Graphs. I just found this video on YouTube that Prof Claudio Gutierrez and I gave at EDBT 2021 conference. It’s based on our Communication of the ACM article. Link to video: youtu.be/_Qm2Xx0Itcs?fe… Link to paper: cacm.acm.org/research/knowl… Hopefully it’s a fun weekend watch

It's Friday! Juan and Tim rant about data x.com/i/broadcasts/1…

I’m seeing companies fall into the following three categories with respect to data: 1) consume it from wherever it was produced (CRM, ERP, etc). These are most companies. 2) they mainly produce their own data. These are tech first companies where software engineering is at the center. 3) data vendors where data is literally their product Would you agree? What’s missing?

I feel we are back in 2019. New layers being introduced, which solve important technical problems, but in reality they are important features of existing platforms. They usually struggle to provide direct ROI because it’s usually a tech play (hence indirect ROI) The independent data catalog, data governance, metadata layers have been getting consolidated into larger platforms in the past year. So not surprising, many investors and entrepreneurs believe that there is a new opportunity for metadata 2.0. History repeats. History ryhmes. We shall see.

Weekend reminder for data teams and vendors: the goal is NOT to answer questions and generate insights. It’s about taking ACTION. Drive decisions that 1) increase revenue 2) reduce cost 3) mitigate risk. Happy Saturday

From a buzz perspective, is "context graph" the new "data mesh"?

Season 11 Kickoff: What happened in 2025 and where are we going in 2026 x.com/i/broadcasts/1…