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The Knowledge Graph Conference (KGC) is a curated program that brings experienced practitioners, technology leaders, cutting-edge researchers, academics and vendors together for two days of presentations, discussions and networking on the topic of knowledge graphs, defining the future of semantic technologies and AI.

The conference was founded at the School of Professional Studies, Columbia University, in 2019. Since 2020 it is organized by Knowledge Graphs Conference or The Data Chefs, resp.

Since 2020 the conference is held in conjunction with the Healthcare and Life Sciences Symposium (HCLS), formerly the Workshop on Personal Health Knowledge Graphs (PHKG), the KGC Startup Pitch Competition (aka Knowledge Graph Startup Pitch), and the KGC Lifetime Achievement Award. Since 2024 in conjunction with a KnowHax Hackathon Pitch Day.

In 2020 KGC was supplemented by the Knowledge Connexions Conference (KnowCon).

The Knowledge Connexions Conference (KnowCon) is adressing the transition from data to knowledge by connections and metadata. Graph Databases, Semantic Technology, Knowledge Graphs and Graph AI are solid building blocks that support this process.
The one-day conference with pre-conference workshops and masterclasses is organized by Connected Data London, in partnership with the Knowledge Graphs Conference.

Conference History:

7th Knowledge Graph Conference (KGC 2025), May 5-9, 2025, Cornell University, New York City, NY, USA / Virtual venue

Conference Theme: TBD
(Host: Cornell Tech, Cornell University)

Conference program TBD

6th Knowledge Graph Conference (KGC 2024), May 6-10, 2024, Cornell University, New York City, NY, USA / Virtual venue

Conference Theme: Navigating Complexity in a Data-driven World
(Host: Cornell Tech, Cornell University)

Conference program TBD

Workshops & Masterclasses: (May 6-7)
Start with the Value of Graphs
Visualizing Knowledge
Semantic Knowledge Modeling & Publishing – Ontologies & Vocabularies
The State of the Art Large Language Models for Knowledge Graph Construction from Text
Enabling GenAI Breakthroughs with Knowledge Graphs
Entity Resolved Knowledge Graphs
Generating and analyzing knowledge graphs using GenAI and Neptune Analytics
Ontology Modeling with SHACL
SQL and Property Graphs: A Primer to SQL/PGQ and beyond
KGs in RAG
NSF Prototype Open Knowledge Network Workshop
Combining graph and vector representations for efficient information retrieval
KG Certificate Program Foundational Lounge
Knowledge Graphs, Theorem Provers, and Language Models
Ontologists Corner
A Workshop on throwing Workshops
Arachne: An Open-Source Framework for Interactive Massive-Scale Graph Analytics

Roundtables:
Bridging the Gap Between Global Research Knowledge and Internal Data
Harnessing AI (from Knowledge Graphs to LLMs)
R&D Convergence Hub
Reusability of Data for R&D Processes, Analytics and AI

Keynotes:
Exploring AI’s Future: The Convergence of Knowledge Graphs and LLMs
Language and Knowledge Representation

Presentations:
Ask ARCH: LLM Question Answering over Large-Scale Knowledge Graphs
Creating a Trading Card Game using Knowledge Graphs
The Best of 3 Worlds: An SGE for ESG
Tackling Climate Change with Knowledge Graphs Using NASA Data
The KG+AI Cookbook
Unlocking the Potential of Pharmacogenomics: A Semantic Approach to Precision Medicine
Content + Knowledge Graph + LLM = Content as a Service
Enhancing the FoodKG Inference with Retrieval Augmented Generation
The Role of Knowledge Graphs for LLM accuracy in the Enterprise
Enabling the Impossible: Empowering Event Promotion with SEO and Knowledge Graphs
The SQL/PGQ Standard: SQL support for property graphs
Schema language for both RDF and LPGs
Knowledge Graph Support of Accelerated Research and Discovery at the National Renewable Energy Labor
The BT Digital Twin – Practical findings from cloud based federated semantics
The Unreasonable Effectiveness of Graph Event Propagation
Colossal, Compositional, Computational Knowledge Graphs
Knowledge Graphs for Smarter Smart Buildings
Knowledge Graphs for the Research Labs of the Future
Building Vehicles with Graphs: From Information Silos to Comprehensive Delivery Plans
Composite Queries for Multidomain Knowledge: Span multiple In-memory graphs without blending data
The Dimensions Knowledge Graph – Using Research Knowledge to Accelerate Business Decisions
Taking the Next Step: How Semantic Reasoning is Powering Up Knowledge Graphs in Enterprises Today
The European Direct Contact Center Knowledge Base
Why Intuit Uses Knowledge Graphs for Securing Our Software Infrastructure
Decentralized RAG enabling Verifiable Internet for AI
Graphs Over the Data Estate
Stop Selling Religion, Start Selling Value – The True Value of Semantics in Enterprise Architecture and GenAI
Explainable AI and the Role of Knowledge Graphs
The Rise of Graph Jobs, The Disappearance of Graph Technology?
Unlocking the Power of Knowledge Graphs in Data Isolation
Discovering Graph Applications – Tell the Story Backwards!
Dowsing for Data: A Unified Knowledge Model for Data Loss Prevention
Elevating Social Engineering Awareness in the Age of LLMs: A Hybrid AI Approach

Lightning Talks: Unveiling the Power of Knowledge Graphs: Exploring Solutions and Applications
Enhancing Large Language Models with Reasoning Abilities Through Knowledge Graphs
Scalable knowledge graph exploration and no-code querying
Language, Graphs, and AI in Industry
Supercharge your LLM search and RAG with Multimedia Knowledge Graphs
Kùzu: A Graph Database Management System for Modern Knowledge Graphs
Connecting the Dots: Linking Building Construction Documents for Deeper Insights
Discover QAnswer – Unlocking Insights from Technical Documents, Websites & Support Centers
Launch an IPO on the OriginTrail Decentralized Knowledge Graph
The Future of Data

Panel Sessions:
Can Reasoning Rule in the Real World?
Empowering Generative Search with Knowledge Graphs: A Leap Towards Enhanced SEO and User Exp
Graph Data Standards Rebooted

Poster Session
KGC Lifetime Contributions Award, KnowHax Hackathon Winners, Startup Pitch Winners

Tools, Demonstrations:
KnowHax Pitch “Day” (Prize + Hack-a-thon + Startup Pitch), May 8
Amazon Web Services Viewing Party, May 10
Tools and Code Demonstrations (virtual), May 10

Co-located Events:
Healthcare and Life Sciences Symposium (HCLS), May 7

Revolutionizing Healthcare in Europe: Unleashing the Power of Knowledge Graphs for Personal Health
Knowledge Graphs for Precision Oncology
Knowledge Engineering in Clinical Decision Support: When a Graph Representational Model is not Enoug
Recurrence Prediction in Early-Stage Lung Cancer Patients Utilising Knowledge Graph Embedding Models
Real World Evidence in Pharmacogenomics: A Direction for the Future
How Multimodal Data Combined with Large-Scale AI Is Transforming Research & Development of Medicines
Towards an Ontology of Psychometric Measures
Psychometric Assessment Issues and Potential Opportunities
LinkedLifeData Inventory as an accelerator for building end-to-end knowledge graph based solutions like Ontotext’s Target Discovery
Accelerating Knowledge Discovery through Automated Knowledge Graph Generation in Healthcare
A Scalable and Robust Named Entity Recognition and Linking System for a Clinical Healthcare Knowledg
Graphs for Good – Hypotheses Generation for Rare Disease Treatment
The Identification of Medicinal Products Ontology (IDMP-O) – Current Status and Next Steps Beyond 1.
Generating and Querying Graphs with LLM

Panel Discussions:
Future of Personalized Health with Knowledge Graphs

HCLS (5 Minutes Lightning Talks)

Associated Events:
KnowHax, the Knowledge-centric AI hackathon, Apr 5-26

5th Knowledge Graph Conference (KGC 2023), May 8-12, 2023, Cornell University, New York City, NY, USA / Virtual venue

Conference Theme: Navigating Complexity in a Data-Driven World
(Host: Cornell Tech, Cornell University)

Note: Two days of masterclasses and workshops, two days in-person, and a one-day demo track.

Conference Tracks:
Business Use Cases
Content Knowledge Graphs
Data Architecture
Deep Learning for and with Knowledge Graphs
Environmental, Social and Governance
Metadata
Natural Language Processing (NLP)
Ontologies, Taxonomies, Data Modeling
Semantic Layer
Systems and Scale
Tools Track (May 12, full day)

Keynotes: (5)
Knowledge Graphs in Today’s Evolving Landscape (and Beyond)
Semantic journeys: The present status and future vision of the Fortune 500
Semantics in the Mainstream: How We Got Here and Where We Go Next
The Future of Knowledge Graphs in a World of Large Language Models
TBD

Pre-conference Workshops & Masterclasses: (20+; May 8-9)

Masterclasses:
A Walk-through of the KnowWhereGraph
Pitching Expansion of Knowledge Graph within Your Enterprise Organization (CANCELLED)
Predicting Links in a Knowledge Graph
Scalability design in a graph database without losing performance
Graph Embedding Techniques – Matrix Factorization to Deep Learning
Hands-on Automatic Quality Assessment of Knowledge Graphs
Open Research Knowledge Graph: Structured Scholarly Knowledge
Using Dgraph to Explore the Offshore Leaks Database
How to build a Recommendation System with Vector Search and Graph References
Taxonomy-Driven Ontology Design
The Open KG Curriculum
Graphs with Relational Tables: The Why and The How
Semantic Knowledge Modeling for Domain Experts and Business Users
SPARQL, SHACL and XSLT3
Business recommendation on Yelp Dataset using GNN
Converting Legacy Enterprise Data into Knowledge Graphs with AI and JSON-LD
Knowledge Graph Infrastructure with Wikibase and Question Answering
Shapes Constraint Language
A Beginner’s Guide to Reasoning: How to reason your way to better data
From zero to Knowledge Graph hero: boost your Knowledge Graph creation productivity with eccenca Corporate Memory
Reasonable Ontology Templates
Reconciliation, Text Analytics and Virtualization with Knowledge Graphs
Virtualizing climate data as RDF in Amazon Neptune
Build a Semantic Layer in a Knowledge Graph–Right Here, Right Now!
Deep-dive into Wikidata
LLMs on a Semantic Layer (was: Knowledge Graphs and Massive Language Models: The Future of AI)
Natural Language Processing and Social Network Analysis

Workshops:
Democratise the Knowledge Graph and Concrete Tooling Requirements
Meetup for Knowledge Graphs in E-Commerce

Panels:
Teaching Knowledge Engineering: A Panel

Startup Pitch Event, May 9 (Winners annaouncement, May 11)

Co-located Events:
Healthcare and Life Sciences Symposium (HCLS), May 8

Keynotes:
Building FAIR solutions and knowledge graphs for research in a large pharmaceutical organization
Enabling Rapid Application and Management of Knowledge in Learning Health Systems: The Computable Biomedical Knowledge Metadata Model (CBK-MM) Project

Sponsor Talks:
Exploring Hypotheses and Refining Insights: How Knowledge Graphs are transforming Clinical Development

Session 1: HCLS Platforms
Web-Scale Data Integration in Life Sciences and Healthcare through Knowledge Graphs
ZS Knowledge Engineering Platform
Knowledge Graphs, Property Graphs, and HyperGraphs: Equivalences and Differences

Session 2: HCLS Applications
Ordering “Big Results” from a Federation of Biomedical Knowledge Graphs
Semantically Enabling Career Transitions in the Life Sciences and Healthcare Sector
Building a Healthcare and Life Sciences Knowledge Graph with Synthea and ChatGPT

Panel Discussions:
HCLS KGs and Large Language Models

Open Knowledge Network (OKN) Workshop, May 9

4th Knowledge Graph Conference (KGC 2022), May 2-6, 2022, Cornell University, New York City, NY, USA / Virtual venue

Conference Theme: Connecting the knowledge ecosystem
(Host: Cornell Tech, Cornell University)

Note; The conference will take place in New York (May 2-5) and online (May 2-6)

Pre-conference Tutorials: (May 2-3)
DBpedia Knowledge Graph Tech Tutorial 2.0
Foundation for a Knowledge Graph: Taxonomy Design Best Practices
ML model with the vector database Weaviate
Knowledge Graph Toolkit
Validating semantic knowledge graphs using SHACL
Tutorial in Reasonable Ontology Templates (OTTR)
Knowledge Graph Primer: Creating a digital twin model
Bridging the gap between business domains and Knowledge Graphs
Low Code meets Knowledge Graphs
Build on synergies and share standards and technologies to boost your knowledge organisation systems and language resources
Hands-on Automatic Quality Assessment of Knowledge Graphs
Hands-on experience defining and cataloging data
Knowledge-infused Reinforcement Learning
Presentation of Cellar – EU Publications Office Central Digital Repository
Developing and Refining Schemas for Knowledge Graphs
Detect Fraud and Recommend Products with Graphs
Knowledge graph data modelling
Knowledge Democratization – A business user tutorial to Knowledge Graph modeling
A Beginner’s Guide to Reasoning: How to reason your way to better data
Advancing UN city resilience efforts using relational knowledge graphs for risk modeling
Demystify Graph and Graph Technologies

Pre-conference Workshops: (May 2-3)
Graph Systems Thinking
Building ontologies and knowledge graphs
Knowledge graph engineering vs. software engineering
Workshop on representing and reasoning with imperfect knowledge
Knowledge Graphs for Interoperability in the Transportation Domain
First Workshop on Geospatial Knowledge Graphs
Application of Reasoning on Complex and Evolving Data: Methods and Use-Cases
OKN
KGC Community Education
The Business Case for (Semantic) Data Management
Healthcare and Life Sciences Symposium

Conference Tracks: (May 4-6)
Data Architecture; Natural Language Processing; Graph Data Science; Business Use Cases (Business Summit); Ontologies and Taxonomies; Content Knowledge Graphs; Search Engine Optimization; Health Care; Libraries; Open Knowledge Networks; EU projects

Panels:
Data Architecture and Knowledge Graphs; Graph Data Science; SEO; Graph Deep Learning 1-2; Business Use Cases; Ontologies and Taxonomies; Content Knowledge Graphs; Knowledge Graph Architecture: Where Are We and Where Are We Going?

Keynotes:
Relational AI – From the Modern Data Stack to Knowledge Graphs
Will Knowledge Graphs Save Us From the Mess of Modern Data Practice?
NASA Knowledge Graphs: An Ever Expanding Universe
Deep Learning with Knowledge Graphs

Tools and demonstrations; Networking events (May 6)

Co-located Conferences:
Healthcare and Life Sciences Symposium (HCLS), May 2, virtual

Keynotes:
Data-Driven Discovery Science with FAIR Knowledge Graphs
Data Driven Decisions in Life Sciences powered by Knowledge Graphs. Example on Clinical Trials information

Invited Talks:
Why You Will Build an Entity-Event Knowledge Graph, perspectives from the field?
EpiMap: Predicting Epigenetic Targets with Triage Queries and KG Embedding Models

Presentations:
Semantic Chemical Data Management – From FAIR to IDMP Compliance
An automatically assembled knowledge graph from literature-extracted molecular biology knowledge with human-machine dialogue to support biomedical discovery
Building a knowledge graph of biomedical entities (genes, diseases, proteins, pathways) using a gene signature representing a particular disease condition or perturbation using half a million FAIR dataset
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Creating a Healthcare Knowledge Graph from Statistical Open Data
Biomedical Knowledge Graph: Build and Usage
Doctor.ai: Navigate a Medical Knowledge Graph using English

Panel Discussions:
FAIR data in HCLS KG
Healthcare KG Applications

3rd Knowledge Graph Conference (KGC 2021), May 5–6, 2021, Virtual venue

Conference Theme: Connecting the Knowledge Ecosystem
(Host: Knowledge Graphs Conference)

Pre-conference Workshops: (May 3-4)
Knowledge Graphs for Social Good; Modeling Sustainability (CANCELLED); Enterprise Knowledge Graph Workshop; Workshop on Knowledge-infused Learning (K-iL 2021); Second Workshop on Personal Health Knowledge Graphs

Pre-conference Tutorials: (May 3-4)
Semantic Modeling for Knowledge Graphs; Validating semantic knowledge graphs using SHACL; Graph-Based Data Science; DBpedia Knowledge Graph Tech Tutorial; Annotating Tabular Data using Semantic Data Dictionaries; Integrating Data through Virtual Knowledge Graphs with Ontop; An Introduction to Knowledge Graphs; Foundation for a Knowledge Graph: Taxonomy Design Best Practices; How Graphs Improve Systems Thinking; Katana Graph (CANCELLED); Intro to Data Mesh (CANCELLED)

Panel Discussions:
Life Sciences; NLP for Knowledge Graphs; Standardization efforts for Knowledge Graphs; Graph Data Science and knowledge Graphs; Knowledge Graphs Adoption in Finance

Plenary:
High-Performance Knowledge Graph Computing on the Katana Graph Engine; From Network Medicine to Food and Knowledge Graphs; Introduction to Data Mesh: A paradigm shift in managing analytical data; Accelerating Industry Data Integration: Knowledge Graph Enabled Data Mesh; Knowledge Graph Industry Survey

Conference Tracks:
n.a.

Knowledge Connexions Conference (KnowCon), November 30 – December 2, 2020, Virtual venue

Conference Theme: Connecting data, people, and ideas: Building a global knowledge ecosystem
(Organizer: Connected Data London, Knowledge Graphs Conference)

Pre-conference Workshops (Nov 30):
Knowledge Graphs and SEO: The next chapter; AI + Knowledge – a match made in heaven?; From databases to platforms: the evolution of Graph databases; Knowledge Graph adoption in the Enterprise (Executive RoundTable)

Pre-conference Masterclasses (Dec 1):
Flawless Semantic Modeling in OWL and SKOS – The Theory; From Knowledge Graphs to AI-powered SEO – The Theory; Validating semantic knowledge graphs using SHACL; Graph Powered Machine Learning; Promoting Enterprise Knowledge Graphs with Metaphors and Stories; KG 101: Hands-on coding in Python

Conference Tracks (Dec 2):
Leaders; Innovators

Conference Keynotes:
Secret Knowledge: Visualizing Complexity
Sales AI – Building and maintaining a knowledge graph
Rebooting AI: Adding Knowledge to Deep Learning
Powering the Connected Enterprise in a Hybrid, Multicloud World

2nd Knowledge Graph Conference (KGC 2020), May 4-7, 2020, Columbia University, New York, NY, USA Virtual venue

Conference Theme: Knowledge Graphs for Artificial Intelligence in the Enterprise
(Host: Knowledge Graphs Conference Executive Education Program in Applied Analytics, School of Professional Studies, Columbia University)

Pre-conference Workshops (May 4-5):
Knowledge Graphs for Social Good (KGSG) – Best Practices, Methods, and Challenges; Personal Health Knowledge Graphs (PHKG): Challenges and Opportunities

Pre-conference Tutorials (May 4-5):
Building a Knowledge Graph from schema.org annotations; Data discovery on Siren Community Edition: a hybrid BI/Search/Knowledge graph platform for investigative intelligence; Virtualized Knowledge Graphs for Enterprise Applications; Designing and Building Enterprise Knowledge Graphs from Relational Databases; Introduction to Logic Knowledge Graphs, Succinct Data Structures and Delta Encoding for Modern Databases, and the Web Object Query Language; Rapid Knowledge Graph development with GraphQL and RDF databases; Modeling Evolving Data in Graphs While Preserving Backward Compatibility: The Power of RDF Quads

Conference Sessions:
Product Demos; Lightning Talks; Ask Me Anything Sessions (AMA); Knowledge Graph Conference Prize

Discussion Panels:
Frontiers in Data Intelligence

Side events (May 5):
Enterprise Knowledge Graph Foundation (EKG Foundation) launch; Inaugural investor/startup pitch event

1st Knowledge Graph Conference (KGC 2019), May 7-8, 2019, Columbia University, New York, NY, USA

Conference Theme: Learn to develop enterprise-wide knowledge graphs
(Host: Executive Education Program in Applied Analytics, School of Professional Studies, Columbia University)

Topics:
Knowledge Graph Architecture (Storing and Querying Knowledge Graphs; Metadata, Schemas, Ontologies, Taxonomies; Integrating multiple source systems; Aligning multiple data models); Use Cases (Machine Learning and Artificial IntelligenceNatural Language Processing; Understanding Knowledge Graph Embeddings; Data integration; Semantic data lakes; Security and Privacy; Business Intelligence and Data Analytics; Reasoning and Inference; Customer 360; Distributed ledger; Fraud detection); Tools (Visualization; Mapping and Integration); Formats and Languages; Data Management (Data Governance Data Quality; Data Responsibility)

Discussion Panels:
Graph Databases, Graph Query Languages, Graph Data Models