Knowledge Graph Conference (KGC)*

Knowledge Graph Conference (KGC)*

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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:

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

    Tools and demonstrations; Networking events (May 6)

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; 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

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