Dexter Lowe

Back to the Future of your Data - Wrangling connected data over time

A Talk by Dexter Lowe (Principal Engineer, G-Research)

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About this Talk

This presentation will delve into the intricate practice of modelling the evolution of a graph over time, as well as our changing view of the timeline itself. This knowledge will empower you to comprehend and interrogate your connected data over time, providing a deeper understanding of the data's development from many temporal viewpoints.

This presentation represents the culmination of more than a year's worth of experimentation with temporal modelling in graph databases, with some of the best minds in this field. The solutions discussed have been applied to effectively model a dataset comprising billions of nodes, in a manner that enables us to observe any historical state and readily identify when changes occurred.

What will I learn:

The presentation will encompass abstract discussions as well as practical examples in various query languages. A general understanding of property graphs and fundamental data querying techniques will enhance the experience. Nonetheless, the talk is designed to be approachable and enlightening for a broad audience. Familiarity with modelling time in graphs is not necessary.

We will cover several solutions to timeline modelling in graphs such as the Entity-State model and Discrete Time Dynamic Graphs, their limitations, as well as how to model additional time dimensions using these approaches, and query them effectively.

Attendees of this talk will come away with a solid understanding of:

* Why you might want to build extra time dimensions into your data model

* How to deal with the evolving net of connections over time

* How to handle multiple timelines

* Scalability considerations

* My favourite tea for a rainy afternoon.

12 December 2024

Edges Stage

11:55 AM - 12:25 PM GMT

About The Speakers

Dexter Lowe

Dexter Lowe

Principal Engineer, G-Research

Dexter's first exposure to connected data was with semantic web technologies but his real induction into the world of graph technologies was at an intro to Neo4J talk which got him excited about the possibilities of property graphs and modelling esoteric data within them.

Location

Convene 133 Houndsditch

133 Houndsditch, London

Neo4j

Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly.

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Ontotext

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Semantic Web Company / PoolParty

The vendor of PoolParty Semantic Suite. Graph-based text mining, recommender systems, and data fabric solutions.

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yWorks

yWorks specializes in the development of professional software solutions that enable the clear visualization of diagrams and networks.

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Oracle

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Ultipa

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Oxford Semantic Technologies

Oxford Semantic Technologies (OST) spun out from the University of Oxford and was acquired by Samsung in 2024. OST provides AI software to extract insights from big data, solving issues like medical diagnostics and financial crime. One founder is a BCS Lovelace Medal winner.

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Senzing

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Semantic Partners

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GraphWise

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