Enterprise and data architects, data modelers, GenAI adopters, analysts, thought leaders, Graph RAG application builders, Microsoft, Palantir – everyone is talking about ontologies. Why, what is an ontology actually, and how is it related to graphs? Yon ontoloji se yon espesifikasyon eksplisit nan yon konseptualizasyon ki se, nan rès la, objè yo, konsèp, ak lòt entite ki presume egziste nan yon zòn nan enterè ak relasyon ki kenbe ant yo. Ontology prezante fondasyon semantik la ki konekte moun, pwosesis, sistèm, aksyon, règleman ak done nan yon ontoloji inifye [sic]. Pa konekte done reyèl nan ontoloji sa yo, tab brik ak evènman yo ogmante nan rich entite biznis ak relasyon, bay moun ak AI yon pi wo nivo, estrikti vizyon sou biznis la yo panse, rezon, ak ap travay avèk konfyans. Premye paragraf la se pran soti nan , ekri pa Tom Gruber nan 2009. Gruber se kredite ak definisyon an nan ontoloji ki pi lajman sitye nan kontexte nan òdinatè ak syans enfòmasyon, prezante sou 1993. entwodiksyon pou Ontology nan Encyclopedia of Database Systems Paragraf la dezyèm se pran soti nan Li te ekri pa Chafia Aouissi nan mwa Novanm 2025. Aouissi se Senior Direktè Product Management Fabric IQ nan Microsoft. blog post prezante Fabric IQ, yon nouvo fondasyon semantik nan Microsoft Fabric Kòm souvan pase lè tèm vin yon pati nan diskurs la prensipal, gen yon sèten tensyon ant rigidite ak adopte. Ka nan pwen - pa sèlman Microsoft Fabric IQ, men tou Palantir. Palantir te flòt tèm la "ontology" kòm kòn ki pi wo nan arsitektur li yo pou yon tan. Pandan ke sa a te , nan menm tan an, li te tou anpeche konfò sou sa ontoloji reyèlman se. te ede popilarize tèm la, kòm Juan Sequeda note Lè CEO a nan Palantir, Alex Karp, rale sou Michael Burry - "Big Short" envestisè ki parye sou Palantir ak Nvidia - li pa sèlman defann balans li yo, men tou yon lide. Kòm Karp di, ontoloji kounye a sitiye alantou chip yo kòm motè a nan AI. Men, si nou pran ontoloji seri, kout la nan Burry ta ka pa te mal, . J Bittner Nòt Nan edisyon sa a nan ane a nan grafik la, nou identifye ontoloji ak definisyon graf konesans, aplikasyon, zouti, ak resous edikatif. Tables nan kontni Kòm yon “O” Soti nan konesans nan grafik ak tounen ankò Aplikasyon graf konesans nan skala Ontoloji ak graf konesans, zouti ak edikasyon De vle di nan "Semantic Layer" ak poukisa tou de enpòtan pou AI Graph databases: mache kwasans, konsantre konpetisyon, plis opsyon nouvo zouti ak rechèch Nimewo sa a nan ane a nan grafik la te pote nan ou pa metaphacts, Process Tempo, Linkurious, RDFox, Tentris, Connected Data London, State of the Graph ak Pragmatic AI fòmasyon. Si ou vle yo dwe prezante nan yon edisyon pwochen ak sipòte travay sa a, rive! This issue of the Year of the Graph is brought to you by , , , , , and . metaphacts Process Tempo Linkurious RDFox Tentris Connected Data London, State of the Graph Pragmatic AI Training Metòd Pwosesis tan Linivè RDFox Tendrik konekte done nan London, State of the Graph Pragmatic AI Training Si ou vle yo dwe prezante nan yon edisyon pwochen ak sipòte travay sa a, rive! Neuro-symbolic AI: The key to truly intelligent systems Kòm ou pa ta pote mwatye nan sèvo ou nan travay, antrepriz yo pa ta dwe pote mwatye nan kapasite a nan enstiti a artificiel nan aritektur yo. Neuro-simbolik AI konbine teknoloji rezo neural tankou LLMs ak teknoloji simbolik tankou grafik konesans. Sa a entegre, ki se rele tou "konesans-driven AI", bay avantaj enpòtan: ● Trustworthy & eksplike entèlijans ki baze sou fakti eksplisit ● Agents AI serye ak transparan ● fonde LLMs ki ka ede nan modilasyon konplèks Si ou pa eksplore ki jan grafik konesans ak AI simbòl ka ogmante entèlijans nan òganizasyon ou - tou de atifisyèl ak reyèl - kounye a se yon bon moman yo kòmanse. Li tout atik la. The “O” word The “O” word Si ou pale ak moun ki ap travay ak done, AI, oswa enstriktè antrepriz ak mande, "ki sa se yon ontoloji?", ou pral jwenn repons diferan. Pou kèk, ontoloji se yon kalite estrikti done entelijan. Pou lòt moun, li se yon glossary biznis. Pou lòt moun toujou, kè a nan yon grafik konesans. Yo tout bon, ak sa a se pwoblèm la kòm per Juha-Pekka Joutsenlahti. nan » ", Joutsenlahti bay yon istwa kout nan konsèp la nan ontoloji nan IT ak reprezantasyon konesans. Li eksplike ke kominote diferan adopte "ontoloji" e li yon ti kras koute nan direksyon pou bezwen pwòp yo, ki rezilta nan konfò. Demystifying ontologies Klavye a nan diminye konfuzyon an se toujou mande: Ki sa ontoloji sa a se pou? Èske li vle klarifikasyon vle di oswa defini estrikti done (oswa tou de)? Yon fwa nou fè diferans sa a eksplisit, yon anpil nan mistè a kòmanse disparèt. “ te pibliye nan 2019. Anvan GenAI te yon bagay, Mark Hall te fè yon ka enpòtan pou ontoloji ak ofri yon eksplike pou poukisa pa tout moun fè sa. Pawòl la O: Èske ou reyèlman bezwen yon ontoloji? Souvan, kòm Ole Olesen-Bagneux , ontologies are once again hot because they are key to succeeding with AI: ontologies provide context for AI to perform better. Thus, we are seeing the re-introduction of knowledge engineering as if it were new. Nòt Manajman konesans ak Bibliyografik Syans, ki soti nan ki taksonomy, ontoloji, ak grafik konesans te fèt, yo se disiplin yo byen etabli, kòm Juha Korpela note nan " “. Ki jan modèl done ak ontoloji konekte yo bati fondasyon semantik ou Korpela points out that people who have traditionally worked with ontologies and knowledge graphs have not been communicating much with domains such as data modeling, but the exchange would be meaningful. Data modelers focus on the technical implementation of data solutions, thus following a path from Conceptual to Logical to Physical modeling. Even if concept models and ontologies are different, as Jessica Talisman Modèlman konsèptif ka itilize yo bati yon fondasyon ontolojik ki ap travay kòm founisè a konteks pou ajan ak chatbots kòm byen ke moun. Nòt Bring your graph ideas to life! Kreye yon grafik konesans? Ou pral vle moun yo sèvi ak li. Nou ka ede! Process Tempo Jupiter fè li fasil yo bati bèl, pwodiksyon-zanmitay aplikasyon sou tèt la nan grafik ou san yo pa ekri kòd. Koulye a, ou ka pote lide grafik ou nan lavi lè l sèvi avèk konpetans ou deja gen. Jupiter sipòte multi-modal, li ak ekri, ant baz done grafik, baz done relasyonèl ak Rest ki baze sou APIs. Pa ETL mande! ✅Neo4j, ✅Memgraph, ✅PuppyGraph, ✅OpenCypher ✅Databricks, ✅Snowflake, ✅Big Query, ✅MySQL, ✅Postgres Ready to get started? Get on our calendar to learn more: calendly.com/processtempo From knowledge to graphs and back again Soti nan konesans nan grafik ak tounen ankò Yon lòt tèm ki se overloaded, yo itilize nan kontexte diferan yo vle di bagay diferan, se "grafik konesans". Pou yon elabore nan definisyon an nan yon grafik konesans, koneksyon an ak ontoloji, ak ki jan yo vin , check this conversation between Tony Seale and George Anadiotis. the essential truth layer for Pragmatic AI https://www.youtube.com/watch?v=hIKfKx8MB8s&embedable=true Taewoon Kim gen yon gout nan . Nicolas Figay summarizes the . defini grafik konesans ak ofri yon gid pratik nan diferan opsyon pou aplike yo entèlijans soti nan diferan pousantaj sou sa yon grafik konesans reyèlman se Kòm ontoloji, sa ki nan gwo kantite kontribye nan tou de popilarize ak kreye konfò sou grafik konesans se itilizasyon yo pou GenAI, espesyalman pou sipò LLMs nan Graph RAG. Kòm Fanghua (Joshua) Yu note, menm lè pale sou , there are different KG types to consider. grafik konesans nan Graph RAG itilizasyon ka Men, lè l sèvi avèk grafik konesans ak GenAI se toujou yon lide bon? , Dave Bechberger argues. You Malgre ke amelyorasyon ki baze sou grafik amelyore òganizasyon enfòmasyon ak rezon, yo tou vini ak yon gwo pri token. konplisite ka pa toujou vo pa ka toujou bezwen Graph RAG , Fanghua (Joshua) Yu note. Plis, Si ou pral sèvi ak Graph RAG, sepandan, gen kèk frameworks itil, aplikasyon yo ak analiz yo konsidere. Graph RAG is a data engineering challenge, not just an LLM trick Graph RAG pa toujou depase "vanilla" RAG and are configurable open source frameworks for Graph RAG. Niklas Emegård built an Sergey Vasiliev eksplore Epi Benito Martin pataje ki jan li te bati . Fleksib GraphRAG Pwodwi open source semantic Graph RAG aplikasyon ki ka itilize kòm yon modèl pou pwojè how graph data science and analytics can help power Graph RAG applications yon sistèm Biomedical GraphRAG, konbine grafik konesans ak rechèch vètikal The shortest path between you and graph insights Graph visualization and analytics just got a lot easier! Introducing : Yon solisyon sou entènèt ki pote eksplorasyon grafik pwisan pou nenpòt moun, jis soti nan yon navigatè. Linkurious Enterprise Cloud nan Kreye yon kont, konekte baz baz grafik ou, kòmanse eksplore done ou, kolabore ak kolèj ekip ou ak pataje rezilta ou, tout sa anvan manje. Ki sa ankò? • Compatibility with leading graph databases • Zero IT bottlenecks or infrastructure tasks • Plani fleksib ki adapte nan bezwen ou Se fason ki pi vit yo kòmanse yon pwojè grafik jodi a - ak fason ki pi fasil yo skalè li jodi a. Pou yon tès gratis 30 jou. Èske Enskri kounye a Knowledge graph applications at scale Aplikasyon graf konesans nan skala Koulye a, aplikasyon yo nan graf konesans nan pwodiksyon an ap ogmante. . This knowledge graph includes 1.6 million nodes and 83 million edges, representing entities such as job titles, openings, associates, applicants, and skills. Walmart sèvi ak grafik konesans People.AI li yo pou pouvwa zouti rekòmandasyon . They are using semantic reasoning to automatically enrich knowledge graphs with new facts based on expert knowledge to deliver improved operational efficiency, reduce compliance risk and improve customer experience. Barclays is scaling knowledge graphs and knowledge-based AI in the financial crime and KYC domain GitLab se bati sa yo rele Li se yon framework ki te ekri nan Rust pou konvèti baz la kòd ou nan yon baz done grafik viv, entegre ki ka itilize pou retire kòd ak navigasyon, analiz enpak ak vizyèlizasyon an arsitektur. GitLab Graph konesans RTVE, the Spanish national radio and television public broadcaster, has created . It unifies data, making it accessible and comprehensible for both machines and people. a knowledge graph that structures information by understanding the relationships among various audiovisual content as well as any potentially linked objects Wiz, the cybersecurity phenomenon recently acquired by Google for $32 billion, has redefined cloud security by providing comprehensive visibility across multi-cloud environments. Their success is based on a . masiv, kontinyèlman devlope yon grafik sekirite ki kouvri antrepriz kliyan tout antye nan nwaj to bring relationship-aware context to Microsoft Security across Defender and Purview. This way defenders and AI can see connections, understand the impact of a potential compromise, and act faster across pre-breach and post-breach scenarios. Microsoft introduced the Sentinel graph . In one example, a query on a 150 billion-edge graph scanned a mind-boggling 123 trillion edges. It took time, but it found fewer than 4,000 answers, highlighting the power of finding the critical few from the overwhelming many. Graph-Wide Scanning se yon teknik pou rezoud avanse cyber menas Ontology and knowledge graph insights, tools and education Ontoloji ak graf konesans, zouti ak edikasyon A key finding of the is that knowledge graphs and graph databases are driving adoption, but guidance and training are still critical. Here are some pointers to knowledge graph and ontology educational resources. State of the Graph Envèsyon pou 2025 te yon reyinyon nan tèt tèt tèt yo ak pratik nan espas sa a, ki prezante ka itilize, inovasyon ak kontni edikatif soti nan tankou Airbus, AstraZeneca, AWS, Barclays, Bloomberg, Netflix, Nvidia, SAP, ServiceNow, S&P, Vodafone ak plis ankò. Ou ka for and , or . Konekte done London 2025 Kòmanse CDL Travay Rapò teyori plonje nan kontni a ak yon tikè aksè distans ak yon rabè espesyal de 15% metaphacts recently published their Guidans sa yo nan modèl semantik yo fèt pou kòmansman kòm byen ke modèlè avanse, ofri yon etap-pa-etap entwodiksyon nan kontni modèl semantik, eleman kle ak teknik pratik. Règleman nan modèl semantik pou enjenyè konesans Kurt Cagle shares , observe ke pati ki difisil nan bati yon grafik konesans se pa aspè teknik, men identifye kalite a nan bagay yo ki konekte, achte bon sous pou yo, epi aprann ki jan yo relasyon avèk youn ak lòt. tips for building knowledge graphs Li pi bon kreye ontoloji graf konesans ou pwòp ou, posibman bati sou ontoloji ki pi wo egziste, pase yo eseye chaje graf konesans ou nan yon ontoloji ki pa te fèt ak bezwen ou nan tèt ou. nan » ", Cagle note ke gen yon ogmantasyon nan enterè nan profesyon an nan ontolog. Gen kèk nan li ka atribue a faktè a ke moun yo kòmanse realize valè a nan grafik konesans, men gen tou eleman an oportunist isit la. Kòm anpil lòt jaden nan dènye a, travay ontoloji se wè kòm yon tikè pou lajan gwo. Men, perceptions ak reyalite se pa nesesèman aligned. Devlope yon Ontologist Dean Allemang pataje nan li . Konstriksyon ontoloji se reyèlman dènye bagay la sou lis la, paske pa gen anpil depann sou sa konpare ak lòt travay. Allemang note ke "ontologist" ap vin yon anpil plis chèche pou konpetans nan tan kap vini an. entèlijans sou yon jou nan lavi a nan yon ontologis travay Tcheke tou sa yo ak . Robert Sanderson shared his , ak Giancarlo Guizzardi pataje . And the AIOTI published a . tools for visualizing, editing and creating ontologies Modèlman konsèptif ak konekte done 10 design principles for knowledge graphs and ontology yon tutorial sou Unified Foundational Ontology rapò sou diferan Data nan Ontology zouti mape disponib Pou yon edikasyon pi enpòtan: Pragmatic AI fòmasyon: Yon holistik pwogram edikasyon AI, ki gen ladan modil sou grafik konesans, Graph RAG ak ontoloji konsepsyon The : learn how to build and scale knowledge graphs through a unique program led by global experts Knowledge Graph Academy RDFox® se youn nan magazen yo triple RDF ki pi avanse sou mache a. Baze sou rechèch ki mennen nan mond lan soti nan Inivèsite Oxford, RDFox® dekouvri nan: Do you need a graph technology that scales without sacrificing performance? ● segondè pèfòmans, scalable in-memory arsitektur ● Advanced rule-based reasoning for dynamic graph enrichment ● Optimize memwa anpeche pou sou aparèy, sèvè, oswa nwaj RDFox® se konfyans pa yon lis ogmante nan mak yo pi gwo nan mond lan nan sèvis finansye, manifakti, otomotiv, retail, ak gwo teknoloji. . Powering sa ki se posiblite pi gwo deplwaman grafik nan mond lan sou dè milyon de Samsung smartphone - wè sa tout fuz se sou isit la Two meanings of “Semantic Layer” and why both matter for AI De vle di nan "Semantic Layer" ak poukisa tou de enpòtan pou AI Yon lòt konsèp Soti nan analytics, Li se modèl la biznis-zanmitay ki sitiye ant done a brik ak zouti BI. Yon fason gouvènman pou defini jwenti, metrik, ak logik konsistan. everyone is talking about, but not necessarily meaning the same thing, is semantic layers semantic layer usually refers to something we’ve seen before Vèsyon sa a nan semantik se sou konfyans. Li asire ke lè yon moun (oswa yon bagay) mande, "Ki jan yo total revni nou an mwa dènye?" repons la se akòz, gouvènman, ak konsistans. Case in point: the Snowflake, Salesforce, dbt Labs ak lòt founisè te anonse yo ap travay sou sa yo ki yo di yo pral yon estanda inivèsèl pou ki jan done biznis se defini ak pataje atravè platfòm. Open Semantic Interchange (OSI) Men, gen yon lòt tablo lè l sèvi avèk fraz la menm ak yo te fè li pi long. Pou ontolog, RDF, OWL ak JSON-LD yo estanda louvri pou echanj done semantik. Pou yo, yon kouch semantik se pa yon modèl metrik, li se yon modèl konesans. Li se sou reprezante vle di, relasyon, ak konte atravè sistèm. This version of semantics is about understanding. It connects definitions and relationships, providing the context AI uses to make sense of information. Case nan pwen: Andreas Blumauer montre. Anthony Alcaraz chime nan. Semantic Layers and GraphRAG are essential for Trustworthy AI Agents bezwen yon layer semantik Query more, wait less. Try Tentris today Tentris se yon nouvo baz baz grafik RDF ki baze sou disk ki bay ekselan pèfòmans querying vit ak itilize memwa segondè-efikas, vire analiz ki yon fwa te pran jou nan rezilta nan minit oswa segonn. Bati pou travay tan reyèl ak done konplèks, li solisyon travay lòt moun pa kapab. Kòmanse eksplore Tentris jodi a! Subscribe to the Year of the Graph Newsletter Keeping track of all things Graph Year over Year Subscribe to Year of the Graph Newsletter nan ane sa a Subscribe to Year of the Graph Newsletter nan ane sa a Keeping track of all things Graph Year over Year Graph databases: growing market, competition & options Graph databases: mache kwasans, konpetisyon & opsyon Moving to graph database updates, let’s open with another piece of news from Microsoft. In Microsoft’s Q1 2026 earnings call, it was reported that . Cosmos DB is a multi-model database, and we don’t know the extent to which graph contributed to its growth. Cosmos DB business grew over 50% YoY Sepandan, sinyal sa a se youn nan anpil pwen nan kwasans pou baz done grafik. , gwosè a nan mache a nan baz baz baz baz grafik mondyal se pwouve yo ogmante soti nan $ 2.85 milya dola nan 2025 nan $ 15.32 milya dola nan 2032, ekspoze yon CAGR nan 27.1%. According to Fortune Business Insights Microsoft, AWS, Google ak Oracle yo te rele kòm lidè nan Tout superscalers gen yon baz done grafik ofri ak Cosmos DB, Amazon Neptune, Google Spanner Graph, ak Oracle Graph, respektivman. 2025 Gartner® Magic Quadrant for Cloud Database Management Systems nan as a niche player. Neo4j also announced , as well as the release of . Neo4j was the only pure-play graph database to be listed in the same Magic Quadrant Fleet Manager, yon sèl avyon kontwòl pou tout deplwaman Neo4j Neo4j Graph Analytics pou Snowflake nan Snowflake Marketplace But there has also been nan pou ranfòse baz done pou AI ak enjenyè. Epi . churn in the graph database market Dgraph was acquired by Istari Digital KuzuDB embedded open source graph database has been abandoned by its creator and sponsor Kùzu Inc ak are new forks of the KuzuDB codebase aiming to pick up where KuzuDB left off. Furthermore, , and – tou de ki apwopriye ranplase vè nan baz baz baz grafik entegre ki te kite pa demann nan KuzuDB la. Pwodwi pou RyuGraph GraphLite te devlope kòm yon nouvo baz baz grafik sous louvri pou pwosesis entegre FalkorDB prezante FalkorDBLite Challengers such as nan nan nan , and with its extension are emerging. It seems like the graph database market pie is growing, and the competition for a piece of it is intensifying. QLever RushDB TuringDB nan TypeDB DuckDB DuckPGQ Finalman, yon lòt sinyal ap dirije nan : Linkurious, who just published the Eseye . growth for the graph market 2026 update of their Graph technology landscape getting acquired by Nuix in a €20M deal New tools and research nouvo zouti ak rechèch Konsantre sou rechèch grafik ak inovasyon nan NeurIPS, youn nan konferans yo ki mennen AI, montre ke . grafik se yon pati enpòtan nan NeurIPS 2025, ki sipòte enpòtan ogmante li yo ak pati nan mache , the native library for cluster-based graph processing on Apache Spark – one of the most powerful engines for large-scale data processing in distributed computing. GraphFrames has been revived after being dormant for a while, with version 0.10.0 recently released. GraphFrames represents the natural evolution of GraphX . It extends ClickHouse with graph modeling and OpenCypher, merging OLAP speed with graph analysis. Brahmand is an open source Graph Engine built on top of ClickHouse Gephi Lite se yon vèsyon pi limyè, ki baze sou entènèt la nan Gephi, ki itilize pou analiz rezo vizyèl. Cosmograph, yon zouti ki baze sou entènèt sèl-nod itilize yo vizyèlize grafik, . Gephi Lite v1.0 Release nan v.2.0 nan ODKE+ sipò , and . Tree-KG is . Ontology-Guided Open-domain ekstraksyon konesans ak LLMs GraphQA prezante yon ajan sous louvri pou mande grafik kesyon yon framework konstriksyon grafik konesans ekspansif pou domèn konesans-intensive , eseye rezoud kesyon an ki si LLMs se bon nan popilasyon graphs konesans ki baze sou yon seri de dokiman tèks. kòm byen ke sinergi yo ant Big Language Models ak ekosistèm an Open Data ki gen rapò. Text2KGBench-LettrIA se yon benchmark rafine pou sistèm Text2Graph RAGE-KG explores the state of the art and beyond in integrating Retrieval-Augmented Generation with Knowledge Graphs extracts knowledge graphs from plain text with language models. is a case study in agentic supply chain risk analysis. And GraphPFN is an . KGGen Exploring Network-Knowledge graph duality eseye kreye modèl fondasyon grafik jeneral-purpose soti nan modèl fondasyon tab Last but not least nan: – yon grafik konesans louvri pou kominote pa kominote. the Connected Data Knowledge Graph v0.1 was released Subscribe to the Year of the Graph Newsletter Retounen tout bagay Graph Anyèlman Subscribe to Year of the Graph Newsletter nan ane sa a Subscribe to Year of the Graph Newsletter nan ane sa a Keeping track of all things Graph Year over Year
