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




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