OVERVIEW

The event was attended by 127 Artificial Intelligence, Semantic Technology, Linked Data and Graph Database innovators, thought leaders and practitioners annually in one great conference. Connected Data London 2017 was even bigger with more speakers, more themes and more thought provoking debates and discussions.

 

Paul Groth

 
 

Spyros Kotoulas

 
 

Chris Taggart

 
 

Graham Cousins

 
 

Tara Raafat

 
 

Freddy Lecue

 
 

Edin Zajmovic

 
 

Javier Godar

 
 

Sebastian Hellmann

 
 

Leigh Dodds

 
 

Lju Lazarevic

 
 

Tim Hill

 
 

Charles Ivie

 
 

Mike Bennett

 
 

James Phare

 
 

Szymon Klarman

 
 

Athanassios Hatzis

 
 

Jesús Barrasa

 
 

Chris Gutteridge

 
 

Tony Seale

 
 
 

Dan Williams

 
 

Christian Jakenfelds

 
 

PROGRAMME

 

Content Track

 
 

Educational Track

 

 

The main conference track will be hosted in the famous Turing Lecture theatre and features the main presentations by industry and academic thought leaders and practitioners throughout the day.

The theatre has capacity for up to 175 Connected Data Practitioners so expect great presentations followed by lively debates!

 

In the Maxwell Room where refreshments are served throughout the day there will be 20 minute educational and product awareness lightning talks.

These are designed to give you a swift introduction to a technology, standard, research thesis or other topic.

8.30 – 9.00 | Event Registration
9.00 – 9.15 | Welcome address
9.15 – 9.45 | Cognitive Computing for the delivery of healthcare, Spyros Kotoulas, IBM Research
9.45 – 10.15 | Beyond Machine Learning:Delivering Technology for People through Explainable AI, Freddy Lecue, Accenture Labs
10.15 – 10.45 | Data Quality and Data Usage in a large-scale Multilingual Knowledge Graph, Sebastian Hellmann, DBpedia.org
10.45 – 11.05 | Coffee and networking break
11.05 – 11.45 | Leveraging AI to construct large scale scientific knowledge graphs, Paul Groth, Elsevier
11.45 – 12.15 | Panel Discussion: Does Connected Data need AI or AI need Connected Data? – Paul Groth (Elsevier), Spyros Kotoulas (IBM), Tara Rafaat (mPhasis), Freddy Lecue (Accenture). Moderator: Szymon Klarman
12.20 – 13.30 | Lunch Break
13.30 – 14:00 | Tackling climate change through agricultural supply chain transparency, Javier Godar, Trase.earth / Stockholm Environment Institute
14.00 – 14.35 | Building NextGen Enterprise data platforms – breaking silos, standardizing models & availability at scale, Graham Cousins & Edin Zajmovic, Thomson Reuters
14.35 – 15.00 | Panel Discussion: Getting Connected Data off the ground in your organisation, Graham Cousins (Thomson Reuters), Tony Seale, Tim Hill (Europeana), Javier Godar (SEI). Moderator: James Phare
15.00 – 15.20 | Coffee and networking break
15.20 – 15.50 | Building the world’s largest open source of company data, Chris Taggart, OpenCorporates
15.50 – 16.20 | Transforming access to culture & history with Connected Data, Tim Hill, Europeana.eu
16.20 – 16.45 | Panel Discussion: Linked Open Data: Is it failing or just getting out of the blocks? – Leigh Dodds (ODI), Sebastian Hellman (DBpedia), Chris Gutteridge (University of Southampton), Chris Taggart (OpenCorporates). Moderator: James Phare
Close & Refreshments
 
 
 
 
9.55 – 10.15 | Techniques for effective graph visualisation, Dan Williams, Cambridge Intelligence
 
10.25 – 10.45 | RDF and OWL : the powerful duo, Tara Raafat
 
11.05 – 11.25 | Data Model vs Ontology Development –    a FIBO perspective, Mike Bennett, Hypercube & EDM Council
11.25 – 11.45 | What is a Graph Database? – Lju Lazarevic, Neo4j
 
 
 
13.40 – 14.00 | MicroServicing Linked Data, Charles Ivie, Semantic Integration 
14.00 – 14.20 | RDF vs. Property Graph: Is your Graph Semantic? – Jesús Barrasa, Neo4j
 
 
 
 
 
15.30 – 15.50 | Associative Semiotic Hypergraph Database in Intersystems Cache with Python Pandas, Athanassios Hatzis

 

15.50 – 16.10 | How to Build a Corporate Knowledge Graph – from the bottom up, Tony Seale
16.15 – 16.35 | A Knowledge Graph-Based Semantic Database for Biomedical Sciences, Christian Jakenfelds, GRAKN.AI
 

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