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The Knowledge Graph Conference (KGC) is a world-class 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.

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.

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:

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

Conference Theme: Connecting the knowledge ecosystem
(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

Keynotes: (2)
TBD

Workshops & Masterclasses: (20+)

Masterclasses:
A Walk-through of the KnowWhereGraph
Using Dgraph to Explore the Offshore Leaks Database
Deep-dive into Wikidata
Shapes Constraint Language
Reasonable Ontology Templates
… TBD

Workshops:
The Open KG Curriculum
Democratise the Knowledge Graph and Concrete Tooling Requirements
… TBD

Panels:
Teaching Knowledge Engineering: A Panel

Meetups:
Meetup for Knowledge Graphs in E-Commerce

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

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

2022 Knowledge Graph Conference (KGC), 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

2021 Knowledge Graph Conference (KGC), 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

2020 Knowledge Graph Conference (KGC), 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 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

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

Conference Theme: Learn to develop enterprise-wide knowledge graphs
(Host: 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