The Theme

The three S’s: Scale Speed and Strings.

SCALE — We’re taking it up to 10 to the 11th (100 Billion) and beyond 10 to the 12th (1 Trillion triples). Welcome to the trillion triple club! We’ll see many routes to 1 Trillion triples — brute force, federation, and sharding — and how it changes how we think of big data in the context of graph.

SPEED — We’ll look at two aspects of speed: How to get to near real time and how to get latency out of queries.

STRINGS — Tim Berners-Lee implored us to focus on ”Things not Strings” which we’ve done a good job of, but the world is full of strings (and LLMs have clearly shown us the value of harvesting those strings). We’ll look at the state of the art of leveraging the world of text to our needs as well as text to query and enterprise search in a graph environment.

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This Year’s Sponsors

A special shout out to our sponsors who help make this event possible.

The Agenda

  • Headshot of Dave McComb with Semantic Arts

    June 3rd | 9:30 a.m.

    Dave McComb | Semantic Arts

    Summary and Objectives for SCALE

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  • Headshot of Paco Nathan with Senzing

    June 3rd | 10:00 a.m.

    Nathan Poco | Senzing

    Entity Resolution to Optimize for Scaling and Low-Latency

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  • Headshot of Dave Enga with Craxel

    June 3rd | 11:00 a.m.

    Dave Enga, Craxel

    Knowledge Graphs at Any Scale

  • null

    June 3rd | 1:00 p.m.

    Ora Lassila | Amazon Neptune

    The Semantic Web Stack in the Context of the 3 V’s of Big Data

  • null

    June 3rd | 2:15 p.m.

    Pete Rivett | Federated Knowledge

    Techniques for Data Scaling

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  • FPO - Male Avatar

    June 3rd | 3:30 p.m.

    Adrian Gschwend | QLever

    Rethinking Graph Scale with QLever

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  • Headshot of Dave McComb with Semantic Arts

    June 4th | 9:00 a.m.

    Dave McComb | Semantic Arts

    Summary and Objectives for STINGS

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  • null

    June 4th | 10:00 a.m.

    Ted Hills | Concepts & Objects LLC

    Ontology-Driven Natural Language Processing for Front-Ending LLMs and RAG

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  • null

    June 4th | 11:00 a.m.

    Dougal Watt | Graph Research Labs

    The role of declarative graph-based software generation and taxonomy enabled machine learning search in transforming strings to things.

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  • Headshot of Jans Aasman withFranz Inc.

    June 4th | 1:00 p.m.

    Jans Aasman | Franz Inc.

    Achieving High Accuracy in LLM-Based Text Analytics with Three Knowledge Graph Tools

  • null

    June 4th | 2:15 p.m.

    Steve Hedden | TopQuadrant

    Turning Content into Triples – Structuring Unstructured Data for AI and Knowledge Graphs

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  • null

    June 4th | 3:30 p.m.

    Tom Reamy | KAPS Group

    Knowledge Graphs, Text Analytics and Gen AI: Mutually Enriching Technologies

  • Headshot of Dave McComb with Semantic Arts

    June 5th | 9:00 a.m.

    Dave McComb | Semantic Arts

    Summary and Objectives for SPEED

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  • null

    June 5th | 10:00 a.m.

    Dave Enga | Craxel

    Instant Access to Fully Connected Data, At Any Scale

  • Headshot of Mark van Berkel with Schema App

    June 5th | 1:00 p.m.

    Mark van Berkel | Schema App

    Scaling Web Data into a Semantic AI Layer with MCP and Serverless Graph Architecture

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