About

Connected Data London brings together 160+ Artificial Intelligence, Semantic Technology, Linked Data and Graph Database innovators, thought leaders and practitioners annually in one great conference.
Artificial Intelligence & Connected Data
Linked Data Semantic Publishing
Enterprise Knowledge Graphs
Graph Databases
  • Artificial Intelligence & Connected Data
  • Linked Data Semantic Publishing
  • Enterprise Knowledge Graphs
  • Graph Databases

Nodes Track

The Nodes track features Keynotes by AI and Semantic Web pioneer Sir Nigel Shadbolt from ODI, and Google's Markus Lanthaler, JSON-LD inventor. Talks and panels featuring industry leaders on mainstream topics such as Data Governance, Knowledge Graphs, Query Languages and Linked Data from the likes of Electronic Arts, IBM, and Zalando.

8:45 - 9:15 | RECEPTION

Event Registration

9:20 - 9:35 | NODES ROOM

James Phare/George Anadiotis

Welcome Address
View speakers bio

James Phare

Event Director, Connected Data London

James is Event Director of Connected Data London founding the event in 2016. He has worked on Big, Small and Connected Data projects in many industries including Financial Services, Real Estate, Government, Renewable Energy and the NGO sector amongst others. James is a passionate enthusiast for all Connected Data technologies actively working with Graph Databases, Linked Data, NLP and other technologies. Following time at Thomson Reuters and Man Group plc James co-founded Data to Value and Neural Alpha – a specialist solution provider of Connected Data services in the Sustainable Investment industry. James holds a BA in Economics & Economic History from the University of York.

George Anadiotis

Principal consultant, Linked Data Orchestration / Contributor, ZDNet

George's got tech, data, and media, and he's not afraid to use them. Coming from an IT background, he's had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator: Being a Gigaom analyst, serving Fortune 500, startups and NGOs as a consultant, building and managing projects, products and teams of all sizes and shapes. George has been working with graph databases since 2005. This includes award-winning R&D, startups, enterprise deployments, and consulting the (then) top Graph Database vendor on distributed queries in 2008.

9:40 - 10:15 | NODES ROOM

Markus Lanthaler | Creator of JSON-LD and Hydra. Software Engineer, Google

KEYNOTE: Pragmatic Semantics at Web Scale
Talk overview

Despite huge investments, the traditional Semantic Web stack failed to gain widespread adoption and deliver on its promises. The proposed solutions focused almost exclusively on theoretical purity at the expense of their usability. Both academia and industry ignored for a long time the fact that the Web is more a social creation than a technical one.

After a long period of disillusionment, we see a renewed interest in the problems the Semantic Web set out to solve and first practical approaches delivering promising results. More than 30% of all websites contain structured information now. Initiatives such as Schema.org allow, e.g., search engines to extract and understand such data, integrate it, and create knowledge graphs to improve their services.

This talk analyzes the problems that hindered the adoption of the Semantic Web, present new, promising technologies and shows how they might be used to build the foundation of the longstanding vision.

About the speaker: Dr. Markus Lanthaler is a software engineer and tech lead at Google where he currently works on YouTube. He received his Ph.D. in Computer Science from the Graz University of Technology in 2014 for his research on Web APIs and Linked Data. Dr. Lanthaler is one of the core designers of JSON-LD and the inventor of Hydra. He has published several scientific articles, is a frequent speaker at conferences, and chairs the Hydra W3C Community Group.

10:20 - 10:55 | NODES ROOM

Sir Nigel Shadbolt | Chairman and Co-Founder, ODI

KEYNOTE: Linked Data as Critical Infrastructure
Talk overview

The computational fabric that underpins our world is connected to every aspect of modern life; from health to education, transport to energy, finance to defence. There is a dawning recognition that the data this fabric consumes, generates and transfers is a vital asset.

Data once considered dry, dull and boring is at the heart of our digital society. This talk will demonstrate that data is a vital infrastructure; a vital infrastructure for individuals, organisations and nation states. It is an infrastructure that needs to be engineered, curated and cared for.

It is an infrastructure that demands particular skills within our society. It is an infrastructure that becomes much more effective if rooted in the standards and technology of linked data.

Linked Data as Critical Infrastructure

About the speaker: Professor Sir Nigel Shadbolt is Chairman and Co-Founder of the Open Data Institute. He is also Professor of Artificial Intelligence and Head of the Web and Internet Science Group, Electronics and Computer Science, University of Southampton. With over 400 publications he has researched on topics ranging from cognitive psychology to computational neuroscience, Artificial Intelligence to the Semantic Web. He was one of the originators of the interdisciplinary field of Web Science and is a Director of the Web Science Trust which seeks to advance our understanding of the Web and promote the Web’s positive impact on society.

10:55 - 11:10 | LOUNGE

Coffee Break

11:10 - 11:40 | NODES ROOM

Mandy Chessell | Distinguished Engineer, IBM

Building an open metadata and governance ecosystem
Talk overview

The frustration of working in the data industry is that so much time is spent finding, understanding, cleaning and reorganising data rather than putting it to good use. The cause comes down to a gap in the capabilities of our data processing platforms.

In software engineering we teach people that data is private to an application and should only be accessed through the application interface. However, the moment we want to do any form of analysis, we rip the data out of the application, copy it around and start using it for different projects. Very quickly the original context of the data is lost and downstream users waste time reconstructing it.

ODPi Egeria is an open source project delivering embeddable metadata management libraries and interchange technology for our data platforms that ensures metadata can flow with the data in a form that is accessible to tools from many vendors. This open metadata management is coupled with open governance APIs to enable business owners to set policies that is then pushed down into the data platforms engines and tools simplifying regulatory requirements and protection of valuable data assets.

The technology includes a comprehensive metadata type model seeded from many popular standards and enhanced with semantics and governance concepts. The underlying metamodel is a graph designed to be distributed across multiple heterogeneous metadata servers. Metadata is then accessible through replication, event notification and federated queries ensuring metadata is shared and linked to build a rich body of knowledge around the data.

In this presentation I will cover the basic mechanisms of Egeria and how its use across our data platforms and tools could revolutionise the data industry.

About the speaker: Mandy Chessell CBE FREng CEng FBCS is an IBM Distinguished Engineer, Master Inventor and Fellow of the Royal Academy of Engineering. Mandy is a trusted advisor to executives from large organisations, working with them to develop their strategy and architecture relating to the governance, integration and management of information. She is also driving IBM's strategic move to open metadata and governance through participation in the Egeria open source project (https://odpi.github.io/egeria/).

11:45 - 12:15 | NODES ROOM

Aaron Bradley | Knowledge Graph Strategist, Electronic Arts

schema.org, Linked Data's Gateway Drug
Talk overview

The talk will detail the trajectory schema.org has taken, starting with a history that is less a retrospective than a narrative. I'll follow this narrative to the fortunately-timed emergence of JSON-LD, providing as it does a flexible, standards-based serialization of the vocabulary.

This, I'll explain, helped fuel the popularity of schema.org, which in turn has caused a demand for more schemas, growing the vocabulary and its capabilities. I'll make the case that schema.org has started to resemble exactly what everyone involved in the initiative declared it shouldn't be: an ontology of everything.

Whether or not that be the case, I'll say, the utility of having a relatively simple, well thought-out, well-understood and very broad vocabulary available has made schema.org (along with JSON-LD) a go-to tool for linked data modelers.

Finally, and with a look at the many ways Google, in particular, has made use of schema.org, I'll explore to what extent its utility extends past being a convenient starting for point for back-of-the napkin knowledge graph development, or whether it's making a significant contribution to realizing the promise of a web of data.

About the speaker: Aaron Bradley started out as a technical services librarian, took an interest in records and coding standards, and spent a decade designing websites. In the mid-2000s he pivoted to search engine marketing, became increasingly exposed to the world of linked data, and as a semantically-minded SEO viewed the 2012 release of the Google Knowledge Graph with more than casual interest. He is now helping to build EA’s knowledge graph and to facilitate the growth of an intelligent content ecosystem. His day-to-day work revolves around taxonomies, ontologies, content models and the linked data standards that support them.

12:20 - 12:50 | NODES ROOM

Nikolas Burk | Developer Relations, prisma.io

GraphQL and its schema as a universal layer for database access
Talk overview

GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.

As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.

A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.

Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.

Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.

About the speaker: Nikolas is a GraphQL enthusiast currently taking care of developer relations at Prisma Before that he worked as an instructor at the Make School Product College in San Francisco, teaching app development and entrepreneurship classes. Nikolas is passionate about learning and sharing knowledge. After finishing his Master's degree, he spent 3 months at the Recurse Center in New York to study functional programming concepts in a self-directed fashion. He played a major role in creating the popular fullstack tutorial How to GraphQL and enjoys giving talks/workshops all around GraphQL and various programming concepts.

12:50 - 13:50 | LOUNGE

Lunch

13:50 - 14:20 | NODES ROOM

Katariina Kari | Research Engineer, Zalando Tech-Hub

Building, and communicating, a knowledge graph in Zalando
Talk overview

When we set out to build a knowledge graph at Zalando, most people did not know how to build one, or considered machine learning as the better solution. However, endorsement from upper management led to the current project, where we use ontologies to improve the customer search and browsing experience.

There are many unique things about the way we built our ontology for Enterprise purposes. Our ontology is peer-reviewed, use case-driven, and we apply special techniques to keep the graph and our APIs and data in sync.

Communicating the graph to different professionals also has its challenges. Backend engineers and machine learning experts have a hard time understanding knowledge graph quirks. Product people accept it only if it creates a clear improvement for customers. How do you reconcile them all?

About the speaker: Katariina Kari (née Nyberg) is a research engineer at the Zalando Tech-Hub in Helsinki. Katariina holds a Master in Science and Master in Music and is specialised in semantic web and guiding the art business to the digital age. At Zalando she is modelling the Fashion Knowledge Graph, a common vocabulary for fashion with which Zalando improves is customer experience. Katariina also consults art institutions to embrace the digital age in their business and see its opportunities.

14:25 - 14:55 | NODES ROOM

Panel | Moderator: Paul Groth

Building knowledge graphs in the real world
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As the interest in, and hype around, Knowledge Graphs is growing, there is also a growing need for sharing experience and best practices around them. Let's talk about definitions, best practices, hype, and reality.
What is a Knowledge Graph? How can I use a Knowledge Graph & how do i start building one? This panel is an opportunity to hear from industry experts using these technologies & approaches to discuss best practices, common pitfalls and where this space is headed next.

Panos Alexopoulos

Head of Ontology, Textkernel BV

Panos Alexopoulos has been working at the intersection of data, semantics, language and software for years, and is leading a team at Textkernel developing a large cross-lingual Knowledge Graph for HR and Recruitment. Alexopoulos holds a PhD in Knowledge Engineering and Management from National Technical University of Athens, and has published 60 papers at international conferences, journals and books.

Katariina Kari

Research Engineer, Zalando Tech-Hub

Katariina Kari (née Nyberg) is a research engineer at the Zalando Tech-Hub in Helsinki. Katariina holds a Master in Science and Master in Music and is specialised in semantic web and guiding the art business to the digital age. At Zalando she is modelling the Fashion Knowledge Graph, a common vocabulary for fashion with which Zalando improves is customer experience. Katariina also consults art institutions to embrace the digital age in their business and see its opportunities.

Sebastian Hellmann

dbpedia.org

Sebastian is a senior member of the “Agile Knowledge Engineering and Semantic Web” AKSW research center, focusing on semantic technology research – often in combination with other areas such as machine learning, databases, and natural language processing.

Sebastian is head of the “Knowledge Integration and Language Technologies (KILT)” Competence Center at InfAI. He also is the executive director and board member of the non-profit DBpedia Association.

Sebastian is also a contributor to various open-source projects and communities such as DBpedia, NLP2RDF, DL-Learner and OWLG, and has been involved in numerous EU research projects.

Natasa Varytimou

Information Architect, Refinitiv

Natasa has been working as a Linked Data architect in various industry sectors for many years. She believes data will become the strongest asset in any organization and that Semantic Web technologies are the perfect fit to integrate it from different data sources, describe its meaning with flexible and lightweight models, and create new information based on rules. She queries data with their models directly with SPARQL, transforms them to different models driven from business needs and utilizes SHACL to validate and create high quality data based on business rules.

15:00 - 15:30 | NODES ROOM

Paraskevi Zerva | Cognition & Knowledge Representation Lead. Elsevier

Supporting GDPR Compliance through effectively governing Data Lineage and Data Provenance
Talk overview

General Data Protection Regulation (GDPR) is a new set of EU guidelines governing how organisations handle personal data replacing the current Data Protection Act (DPA) and has been enforced since May 2018. With GDPR in place organizations need to process personal data lawfully, maintain this accurately for no longer than necessary, and in a secure way.

They should be able to report on the purposes of processing, the categories of personal data they control, and be able to demonstrate compliance with regards to GDPR policies. The challenge organizations face with regards to GDPR, being able to record every point where processing activities of personal data takes place and to showcase accountability with regards to this activity, has made data governance even more critical on the data lineage and data provenance aspects.

Governing data lineage enables the understanding of the organization’s data flow activities and to identify and document the legal justification for each type of activity. In addition GDPR requires evidence of records for the processing of personal data which implies the need to effectively record and govern data provenance.

In the current talk we are going to showcase how effectively governing data lineage and data provenance gives us the ability to verify that the processing of private data within an organization is compliant with GDPR regulatory requirements.

About the speaker: Paraskevi works on metadata management and metadata/data governance using semantic and linked data technologies. She has worked on Data Lineage/Provenance and Data Quality using semantic metadata, knowledge engineering and ontology data modelling languages and techniques. Paraskevi has been focusing on the aspects of assuring GDPR data compliance through effective metadata governance and data management. She has over eight years of work and research experience, including her stint as an Information Architect at JP Morgan and a PhD in Provenance Awareness for Compositions of Services from King's College London.

15:30 - 16:00 | LOUNGE

Coffee Break

16:00 - 16:30 | NODES ROOM

Jon McLoone | Director of Technical Services, Communication and Strategy, Wolfram Research Europe

Data Science is More than just Statistics
Talk overview

Much of the focus in data science tends to be the application of traditional statistics techniques in more automated ways. This talk will discuss how this automation now makes it possible for data scientists to apply much more sophisticated computation to their data to achieve deeper insights and derive more value from the data.

Computational techniques originally developed for science and engineering applications can often be applied, in sometimes surprising ways, to big data applications. During the talk, we’ll see how techniques from machine learning, to image processing, to signal processing are now easy to apply.

About the speaker: With over 25 years of experience working with Wolfram Technologies, Jon has helped in directing software development, system design, technical marketing, corporate policy, business strategies and much more.

Jon gives regular keynote appearances and media interviews on topics such as the Future of AI, Enterprise Computation Strategies and Education Reform, across multiple fields including healthcare, fintech and data science.

Jon holds a degree in mathematics from the University of Durham. Jon is also Co-founder and Director of Development for computerbasedmath.org, an organisation dedicated to a fundamental reform of maths education and the introduction of computational thinking.

16:35 - 17:05 | NODES ROOM

Panel | Moderator: George Anadiotis

AI tribes and interconnections: what's graph got to do with it?
View speakers

Most of the kind of AI that gets the spotlight these days revolves around machine learning. But there actually are many approaches, or tribes, in AI. What is the role of knowledge representation and reasoning, or symbolic AI, today?
How can more traditional, knowledge-based approaches connect with, and contribute to, machine learning for better AI? And what's graph got to do with it? This panel will discuss how to bridge the gap among the AI tribes.

Sebastian Riedel

Researcher, Facebook AI Research

Sebastian is a Researcher at Facebook AI Research. He is also a Professor at University College London and an Allen Distinguished Investigator, leading the Machine Reading Lab. He has also worked in research with Andrew McCallum at UMass Amherst, Tsujii Junichi at Tokyo University and DBCLS, and Ewan Klein at the University of Edinburgh. Sebastian works on teaching machines how to read and reason, in the intersection of Natural Language Processing (NLP) and Machine Learning. Recently, he has been tackling these problems via forms of end-to-end differentiable program interpreters as well as adversarial regularisation. He is generally interested in deep learning, good old graphical models as well as old-school symbolic AI.

Christos Hadjinikolis

Senior ML Engineer, Data Reply UK

Christos is a Senior ML-Engineer at Data Reply UK. He works with Big Data Frameworks, and develops ML-models and end-to-end big data pipelines. He is also a founding member of the Apache Flink meetup community in London.

Christos holds a PhD in Computer Science and is a visiting researcher at King’s College London, where he works on the development of efficient document clustering algorithms.

For his PhD thesis, he worked on knowledge representation and AI reasoning, touched on the field of logics, and closely studied and applied a variety of machine learning and graph analytics techniques.

Andy Jefferson

Neural Networks and Graph AI Researcher, Octavian

Andy believes that graphs have the potential to provide both a representation of the world and a technical interface that allows us to develop better AI and to turn it rapidly into useful products. Andy combines expertise in machine learning with experience building and operating distributed software systems and an understanding of the scientific process. Before he worked as a software engineer, Andy was a chemist, and he enjoys using the tensor algebra that he learned in quantum chemistry when working on neural networks.

Jon McLoone

Director of Technical Services, Communication and Strategy, Wolfram Research Europe

With over 25 years of experience working with Wolfram Technologies, Jon has helped in directing software development, system design, technical marketing, corporate policy, business strategies and much more.

Jon gives regular keynote appearances and media interviews on topics such as the Future of AI, Enterprise Computation Strategies and Education Reform, across multiple fields including healthcare, fintech and data science.

Jon holds a degree in mathematics from the University of Durham. Jon is also Co-founder and Director of Development for computerbasedmath.org, an organisation dedicated to a fundamental reform of maths education and the introduction of computational thinking.

17:05 - 17:20 | NODES ROOM

Closing Remarks

17:20 - 18:30 | LOUNGE

Refreshments

Edges Track

If you are more into emerging topics and want to get the latest trends from tomorrow's leaders, the Edges track features innovating concepts, applications and research. With experts and panelists in Graph Databases, AI & Machine Learning, Knowledge Graphs, Software Architecture, from BBC, Thomson Reuters, TigerGraph, and more.

8:45 - 9:15 | RECEPTION

Event Registration

9:20 - 9:35 | NODES ROOM

James Phare/George Anadiotis

Welcome Address
View speakers bio

James Phare

Event Director, Connected Data London

James is Event Director of Connected Data London founding the event in 2016. He has worked on Big, Small and Connected Data projects in many industries including Financial Services, Real Estate, Government, Renewable Energy and the NGO sector amongst others. James is a passionate enthusiast for all Connected Data technologies actively working with Graph Databases, Linked Data, NLP and other technologies. Following time at Thomson Reuters and Man Group plc James co-founded Data to Value and Neural Alpha – a specialist solution provider of Connected Data services in the Sustainable Investment industry. James holds a BA in Economics & Economic History from the University of York.

George Anadiotis

Principal consultant, Linked Data Orchestration / Contributor, ZDNet

George's got tech, data, and media, and he's not afraid to use them. Coming from an IT background, he's had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator: Being a Gigaom analyst, serving Fortune 500, startups and NGOs as a consultant, building and managing projects, products and teams of all sizes and shapes. George has been working with graph databases since 2005. This includes award-winning R&D, startups, enterprise deployments, and consulting the (then) top Graph Database vendor on distributed queries in 2008.

9:40 - 10:55 | NODES ROOM

Networking - Keynotes talks on Nodes Track

10:55 - 11:10 | LOUNGE

Coffee Break

11:10 - 11:40 | EDGES ROOM

Augustine Kwanashie | Software Engineer, BBC

Building materialised views for linked data systems using microservices
Talk overview

In the BBC’s Content Distribution Services division, we build and maintain systems that provide content metadata to a wide range of audience-facing products.

Our current architecture for distributing tagging metadata consists mainly of two RDF-based read and write APIs feeding off a central triplestore. This single storage setup for all operations imposes restrictions on performance and scalability.

I will talk about our work done to create an event-driven distribution pipeline that generates materialised views of tagging metadata.

The new microservices architecture comprises of small, single-purpose services, lambda functions, event stores, queues, streams etc. The views are built on data stores that are optimised to serve specific query profiles thus improving the overall performance and scalability of the system.

About the speaker: Augustine works as a Senior Software Engineer in the BBC’s Content Distribution Services division. He helps build and maintain APIs (and supporting infrastructure) that store and serve metadata for BBC content in the Linked Data space. Previously he was a PhD researcher at the University of Glasgow working on designing efficient algorithms for matching problems.

11:45 - 12:15 | EDGES ROOM

Panos Alexopoulos | Head of Ontology, Textkernel BV

Crafting a Knowledge Graph Strategy - What to think about
Talk overview

Executing successfully a Knowledge Graph initiative in an organization requires a series of strategic decisions that need to be taken before and during the execution.

Issues like how to balance the (inevitable) knowledge quality trade-offs, how to prioritize knowledge evolution, or how to allocate resources between new knowledge delivery and technology improvement, are often not contemplated early or adequately enough, resulting into frictions and sub-optimal results.

In this talk, I describe some key strategic dilemmas that Architects and Executives face when designing and executing Knowledge Graph projects, and discuss potential ways to deal with them.

About the speaker: Panos Alexopoulos has been working at the intersection of data, semantics, language and software for years, and is leading a team at Textkernel developing a large cross-lingual Knowledge Graph for HR and Recruitment. Alexopoulos holds a PhD in Knowledge Engineering and Management from National Technical University of Athens, and has published 60 papers at international conferences, journals and books.

12:20 - 12:50 | EDGES ROOM

Rainer Pichler | Software Architect, CELUM

Building a production-ready, graph-based enterprise application in the cloud
Talk overview

CELUM set out to develop its own reactive graph driven architecture to provide the best user experience for workrooms.net. Hear our story on how we ventured into the areas of Graph Databases, Data Modelling as well as Reactive Programming and melted them into a graph-centred reactive architecture.

We put it to the test and built our production-ready cloud-based enterprise application atop it. Learn about lofty goals and unexpected surprises that we managed to turn into happy endings. Building upon our experiences will become your edge once you develop your own graph-centric cloud application.

The unique aspects presented are a type-safe query language atop Gremlin available within back-end and front-end, our inheritance-aware data model and the seamless streaming of graph data to the front-end as it becomes available.

Finally, drawing upon these capabilities, we look at Live Queries that notify clients when query results become stale and thus both improve the UX and reduce the system load.

About the speaker: Rainer is a Software Architect working on CELUM’s Graph Driven and Reactive Platform. Specifically, he enables CELUM’s applications to optimally utilize graph data structures. Besides software engineering, he graduated in business sciences and is interested in innovation, entrepreneurship as well as knowledge sharing.

12:50 - 13:50 | LOUNGE

Lunch

13:50 - 14:20 | EDGES ROOM

Andy Jefferson | Neural Networks and Graph AI Researcher, Octavian

Knowledge graphs, meet Deep Learning
Talk overview

Knowledge graphs generation is outpacing the ability to intelligently use the information that they contain. Octavian's work is pioneering Graph Artificial Intelligence to provide the brains to make knowledge graphs useful.

Our neural networks can take questions and knowledge graphs and return answers. Imagine:

  • a google assistant that reads your own knowledge graph (and actually works)
  • a BI tool reads your business' knowledge graph
  • a legal assistant that reads the graph of your case


Taking a neural network approach is important because neural networks deal better with the noise in data and variety in schema. Using neural networks allows people to ask questions of the knowledge graph in their own words, not via code or query languages.

Octavian's approach is to develop neural networks that can learn to manipulate graph knowledge into answers. This approach is radically different to using networks to generate graph embeddings. We believe this approach could transform how we interact with databases.

Prior knowledge of Neural Networks is not required and the talk will include a simple demonstration of how a Neural Network can use graph data.

About the speaker: Andy believes that graphs have the potential to provide both a representation of the world and a technical interface that allows us to develop better AI and to turn it rapidly into useful products. Andy combines expertise in machine learning with experience building and operating distributed software systems and an understanding of the scientific process. Before he worked as a software engineer, Andy was a chemist, and he enjoys using the tensor algebra that he learned in quantum chemistry when working on neural networks.

14:25 - 14:55 | EDGES ROOM

Thorsten Liebig | Managing Director & Co-Founder, Derivo

Powering Graph Data with Reasoning and Visual Analytics: Examples from Industry
Talk overview

Due to the fact that almost all business-critical data inherently is more like a graph than a table, many companies have begun to transform their data into property graphs. To furthermore foster linkage as well as meaningful querying or processing they often consider to enrich their graph data by means of a semantic model and RDF/OWL reasoning.

In my talk I will report on industry projects that have successfully deployed applications that implement processes and tools to transform relational data into graph data, semantically enrich graph data as well as use reasoning to better exploit and utilize relevant knowledge within this data.

Next to use cases from different domains I will also describe tools for modeling, reasoning and visually exploring graph data that were used to make this projects happen.

About the speaker: As part of his responsibilities at derivo, Thorsten helps companies and organizations to use the knowledge in their data by means of semantic technologies. This covers property resp. knowledge graph modelling and establishing industry-ready software solutions including reasoning about – as well as exploring and utilizing – large knowledge graphs. When not dealing with knowledge graphs, he enjoys Italian coffee and cycling.

15:00 - 15:30 | EDGES ROOM

Panel | Moderator: George Anadiotis

The Year of the Graph: Evaluating graph databases
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2018 has been another exciting year for the Graph Database landscape with several key developments, new entrants & increasing adoption. So, do you really need a graph database, and what for? How do you choose one?
This panel offers a rapid introduction to the rich landscape of Graph Databases discussing options, starting points, common patterns & challenges for those exploring adoption.

Geoffrey Horrell

Director of Innovation, Thomson Reuters Knowledge Graph

Geoff Horrell is Director of Applied Innovation within Thomson Reuters Labs.  Geoff was involved in the creation and commercial launch of the Thomson Reuters Knowledge Graph.  The only financial published financial Knowledge Graph contains over 2 billion relationships, with updates continuously pushed to customers. Over the last 17 years he has created and launched numerous content products which are increasingly created with machine learning and NoSQL technologies.  Geoff is based in London where he manages the multi-displinary innovation Lab of research & data scientists, UX & UI experts.

Victor Lee

Director of Product Management, TigerGraph

Dr. Victor Lee is Director of Product Management at TigerGraph, bringing together a strong academic background, decades of industry experience, and a strong commitment to quality and serving customer needs. Victor was a circuit designer and technology transfer manager at Rambus, before returning to school for his computer science PhD, focusing on graph data mining. He received his BS in Electrical Engineering and Computer Science from UC Berkeley, MS in Electrical Engineering from Stanford University, and PhD in Computer Science from Kent State University. He was a visiting professor at John Carroll University before joining TigerGraph.

Thorsten Liebig

Managing Director & Co-Founder, Derivo

As part of his responsibilities at derivo, Thorsten helps companies and organizations to use the knowledge in their data by means of semantic technologies. This covers property resp. knowledge graph modelling and establishing industry-ready software solutions including reasoning about – as well as exploring and utilizing – large knowledge graphs. When not dealing with knowledge graphs, he enjoys Italian coffee and cycling.

Philip Coates

Founder and Director, Semantic Integration

Phil Coates is one of the founders of Semantic Integration, a software consultancy specialising in Semantic Web and Linked Data solutions, where he has worked on a number of large-scale data integration projects and provided R&D and architectural expertise for a range of clients, within the fields of finance, life sciences, publishing and media. Prior to this, he had many years in industry working in various software engineering roles for companies ranging from tiny start-ups to massive multinationals, gaining insights into building production-quality systems and the practical and industrial applications of academic computer science research. Semantic Integration is based in London, UK.

15:30 - 16:00 | LOUNGE

Coffee Break

16:00 - 16:30 | EDGES ROOM

Panel | Moderator: James Phare

Metadata for data governance – what’s Linked Data’s role?
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Effective Data Governance is critical for any modern, data-driven organisation especially in the era of GDPR and other regulations. Increasingly leaders in this space are adapting approaches to leverage metadata frameworks and standards such as Schema.org, DCAT & SKOS.
This panel addresses whether Linked Data can help your organisation address its governance challenges and how to start.

Mandy Chessell

Distinguished Engineer, IBM

Mandy Chessell CBE FREng CEng FBCS is an IBM Distinguished Engineer, Master Inventor and Fellow of the Royal Academy of Engineering. Mandy is a trusted advisor to executives from large organisations, working with them to develop their strategy and architecture relating to the governance, integration and management of information. She is also driving IBM's strategic move to open metadata and governance through participation in the Egeria open source project (https://odpi.github.io/egeria/).

Aaron Bradley

Knowledge Graph Strategist, Electronic Arts

Aaron Bradley started out as a technical services librarian, took an interest in records and coding standards, and spent a decade designing websites. In the mid-2000s he pivoted to search engine marketing, became increasingly exposed to the world of linked data, and as a semantically-minded SEO viewed the 2012 release of the Google Knowledge Graph with more than casual interest. He is now helping to build EA’s knowledge graph and to facilitate the growth of an intelligent content ecosystem. His day-to-day work revolves around taxonomies, ontologies, content models and the linked data standards that support them.

Paraskevi Zerva

Cognition & Knowledge Representation Lead. Elsevier

Paraskevi works on metadata management and metadata/data governance using semantic and linked data technologies. She has worked on Data Lineage/Provenance and Data Quality using semantic metadata, knowledge engineering and ontology data modelling languages and techniques. Paraskevi has been focusing on the aspects of assuring GDPR data compliance through effective metadata governance and data management. She has over eight years of work and research experience, including her stint as an Information Architect at JP Morgan and a PhD in Provenance Awareness for Compositions of Services from King's College London.

Eugene Morozov

Engineering Practice Head, Lab49 London

Eugene is an Engineering Practice Lead at Lab49, a strategy, design and technology consulting company specialising in capital markets. He is interested in the use of Semantic Web standards for data and service modelling to help financial service firms meet their regulatory obligations. Eugene runs Semantic Web London meetup.

16:35 - 17:05 | EDGES ROOM

Dimitris Kontokostas | Senior Data & Knowledge Engineer, GeoPhy

RDF Data Quality Assessment - connecting the pieces
Talk overview

RDF and graph databases are steadily increasing their adoption and are no longer choices of niche-only communities. For almost 20 years, a constraint language for RDF was a big missing piece in the technology stack and a prohibiting factor for further adoption.

Even though most RDF-based systems were performing data validation and quality assessment, there was no standardized way to define constraints. People were using ad-hoc solutions or schemas and languages that were not meant for validation.

Thankfully, since 2017 there are 2 additions to the RDF technology stack: SHACL & ShEx. Both provide a high level RDF constraint language that people can use to define data constraints (a.k.a. Shapes), each with different strengths.

This talk will provide an outline of different types of RDF data quality issues and existing approaches to quality assessment. The goal is to give an overview of the existing RDF validation landscape and hopefully, inspire people on how to improve their RDF publishing workflows.

About the speaker: Dimitris Kontokostas is a senior data & knowledge engineer at GeoPhy where he designs and implements solutions on data quality & large-scale knowledge graphs. Dimitris has a PhD (Dr.-Ing.) from Leipzig University (AKSW/KILT Group) on "Large-scale knowledge extraction, publishing and quality assessment" where he graduated with magna cum laude. He served as the head of technical developments of DBpedia for three years, is the creator of RDFUnit, a unit testing framework for RDF with high industry uptake, heavily involved with data quality standardization activities (i.e. SHACL, ShEx) and a co-author of the “Validating RDF data" book.

17:05 - 17:20 | NODES ROOM

Closing Remarks

17:20-18:30 | LOUNGE

Refreshments

Educational Track

Get the chance to have intimate interactions and to learn from leaders and innovators such as graph database vendors TigerGraph, Ontotext and Memgraph, Visualization solutions from Cambridge Intelligence and Linkurious, and the PoolParty Semantic Suite. Expect lively and interactive presentations and demos

8:45 - 9:15 | RECEPTION

Event Registration

9:20 - 9:35 | NODES ROOM

James Phare/George Anadiotis

Welcome Address
View speakers bio

James Phare

Event Director, Connected Data London

James is Event Director of Connected Data London founding the event in 2016. He has worked on Big, Small and Connected Data projects in many industries including Financial Services, Real Estate, Government, Renewable Energy and the NGO sector amongst others. James is a passionate enthusiast for all Connected Data technologies actively working with Graph Databases, Linked Data, NLP and other technologies. Following time at Thomson Reuters and Man Group plc James co-founded Data to Value and Neural Alpha – a specialist solution provider of Connected Data services in the Sustainable Investment industry. James holds a BA in Economics & Economic History from the University of York.

George Anadiotis

Principal consultant, Linked Data Orchestration / Contributor, ZDNet

George's got tech, data, and media, and he's not afraid to use them. Coming from an IT background, he's had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator: Being a Gigaom analyst, serving Fortune 500, startups and NGOs as a consultant, building and managing projects, products and teams of all sizes and shapes. George has been working with graph databases since 2005. This includes award-winning R&D, startups, enterprise deployments, and consulting the (then) top Graph Database vendor on distributed queries in 2008.

9:40 - 10:55 | NODES ROOM

Networking - Keynotes talks on Nodes Track

10:55 - 11:10 | LOUNGE

Coffee Break

11:10 - 11:40 | EDUCATIONAL ROOM

Victor Lee | Director of Product Management, TigerGraph

Scaling up business value with real-time operational graph analytics
Talk overview

Graph-based solutions have been in the market for over a decade with deployments in financial services, healthcare, retail, and manufacturing. The graph technology of the past limited them to simple queries (1 or 2 hops), modest data sizes, or slow response times, which limited their value.

A new generation of fast, scalable graph databases, led by TigerGraph, is opening up a new world of business insight and performance. Join us, as we explore some new exciting use cases powered by native parallel graph database with storage and computation capability for each node:

  • A large financial services payment provider is using graph-based pattern detection (7 to 11 hop queries) to detect more fraud and money laundering in real time, handling peak volume of 256,000 transactions per second.
  • IceKredit, an innovative FinTech is transforming the near-prime and sub-prime credit market in United States, China and South Asian countries with customer 360 analytics for credit approval and ongoing monitoring.
  • A biotech and pharmaceutical giant is building a prescriber and patient 360 graph and using multi-hop exploratory and analytic queries to understand the most efficient ways of launching a new drug for maximum return.
  • Wish.com is delivering real-time personalized recommendations to increase eCommerce revenue.


About the speaker: Dr. Victor Lee is Director of Product Management at TigerGraph, bringing together a strong academic background, decades of industry experience, and a strong commitment to quality and serving customer needs. Victor was a circuit designer and technology transfer manager at Rambus, before returning to school for his computer science PhD, focusing on graph data mining. He received his BS in Electrical Engineering and Computer Science from UC Berkeley, MS in Electrical Engineering from Stanford University, and PhD in Computer Science from Kent State University. He was a visiting professor at John Carroll University before joining TigerGraph.

11:45 - 12:15 | EDUCATIONAL ROOM

Atanas Kiryakov | Founder and CEO, Ontotext

Analytics on Big Knowledge Graphs deliver entity awareness and help data linking
Talk overview

To make adequate decisions, businesses have to combine their databases - their own view of the world - with non-proprietary data. However, combining diverse data from multiple sources is a complex task.

Matching concepts and entities across disparate data sources and recognizing their mentions in texts requires disambiguation of their meaning - something that comes easy to people, but computers often fail to do right. Because an average graduate has awareness about wide set of entities and concepts and computers do not.

Ontotext developed technology to build Big Knowledge Graphs and apply cognitive analytics to them to provide entity awareness – semantic fingerprints derived from rich entity descriptions.

Ontotext’s Company Graph provides entity awareness about all locations on Earth and the most popular companies and people. I will use Ontotext GraphDB to demonstrate analytics on this knowledge graph of 2 billion triples. The Company Graph combines several open data sources, mapped to the FIBO ontology, and interlinks their entities to 1 million news articles.

The demonstration includes: importance ranking of nodes, based on graph centrality; popularity ranking, based on news mentions of the company and its subsidiaries; retrieval of similar nodes in a knowledge graph and determining distinguishing features of entity.

About the speaker: Atanas Kiryakov is the founder and CEO of Ontotext – Semantic Web pioneer and vendor of semantic technology. Atanas is an expert in semantic graph databases, reasoning, knowledge graph design, text mining, semantic tagging, linking and search. Author of signature academic publications with more than 2500 citations and Linked Data Benchmarking Council member. Until 2010 Atanas was product manager of GraphDB (formerly OWLIM) – a leading RDF graph database serving mission critical projects in organizations like BBC, Financial Times, Nikkei, S&P, Springer Nature, John Wiley, Elsevier, UK Parliament, Kadaster.NL, The National Gallery of US and top-5 US Banks.

12:20 - 12:50 | EDUCATIONAL ROOM

Dan Williams | Product Manager, Cambridge Intelligence

Graphs in space: a guide to visualizing geospatial networks
Talk overview

Many of today's geospatial graph projects deal with distance queries or path-finding problems such as, 'what’s my fastest route to the airport?’, or, 'where’s the nearest 5* restaurant?’. Geospatial graphs are good at providing answers fast, but their value doesn’t stop there. They can solve many more complex problems too.

Drawing from Cambridge Intelligence’s rich experience in applied graph visualization, this talk looks at how to exploit the rich geographic insight in your graph data through compelling, interactive visualizations.

The talk deals with questions such as:

  • What types of map are available? Which ones work well with connected data?
  • Should maps be restricted to high level ‘dashboards’? Can they convey complex connected data to any depth?
  • What do those analysts who rely on geofencing, chloropleths and coordinate reference systems expect from their interactive maps? Where does connected data fit in?
  • When combining the busy worlds of big connected data and interactive maps, how do we avoid overwhelming users with unnecessary clutter?


Join us to explore use case studies in areas as diverse as IT network topology management, car insurance fraud, building planning, and law enforcement. We’ll highlight the variety of ways you can exploit connected geospatial views.

About the speaker: Dan Williams works closely with KeyLines customers who are building advanced graph applications, helping them to make the best possible graph visualization tools. He has a Master’s in Physics from Oxford University and a wealth of experience with a variety of software products across many different industry verticals.

12:50 - 13:50 | LOUNGE

Lunch

13:50 - 14:20 | EDUCATIONAL ROOM

Jean Villedieu | Head of Sales and Co-Founder, Linkurious

Graph intelligence: the future of data-driven investigations
Talk overview

RDF and graph databases are on the rise. The performances, flexibility, and scalability of these systems are attracting a large number of organizations struggling with complex and connected data. While the graph approach offers several advantages, finding insights into the enormous volume of data remains a challenge.

In this presentation, we will introduce Graph Intelligence, an advanced combination of human and computer-based intelligence to find insights faster in complex connected datasets. We will explain why we believe this approach is the future for teams of investigators fighting financial crime, national security threats or cyber attacks.

From this presentation, you will learn:

  • The nature and benefits of the Graph Intelligence approach
  • How to build a platform leveraging graph technology
  • Real-life examples of money laundering and financial crimes detection and investigation


About the speaker: Jean is head of sales and co-founder of Linkurious. He has been working with numerous Fortune 500 companies to help them find insights in complex connected data (fraud, cyber-security, intelligence, etc). Previously he worked in the consulting industry on R&D projects and in sales. Jean has an MSc. from the Lyon Institute of Political Studies and from the Ecole de Guerre Économique.

14:25 - 14:55 | EDUCATIONAL ROOM

Robert David/Maura Moran

SHACL-based data life cycle management
View speakers bio

PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on.
Also, users have requirements towards the quality of the data they manage. We want to express constraints for both in a standard way throughout PoolParty components. SKOS-based PoolParty Thesaurus project data requires both consistency and quality.
About the speaker: Robert David is CTO of the Semantic Web Company. He is the Lead Developer of PoolParty Semantic Suite and head of the development team. Robert holds a degree in software engineering and has extensive professional experience in web technologies.

Robert David

CTO, Semantic Web Company

Robert David is CTO of the Semantic Web Company. He is the Lead Developer of PoolParty Semantic Suite and head of the development team. Robert holds a degree in software engineering and has extensive professional experience in web technologies.

Maura Moran

Senior Content Consultant, Mekon Ltd

Maura has over 20 years’ experience helping organizations drive value through improved content strategy, content management systems and tools, and workflow improvements. She has a particularly strong background in commercial publishing, having worked with many of the world’s premier publishing firms including Pearson, Elsevier, and Oxford University Press. Maura understands that changing an organization’s working practices can be a messy business, so she balances finding the right technical solution with a focus on practical implementation, including a solid approach to change management and content governance.

15:00 - 15:30 |

Networking - Talks continue on Nodes and Edges Track

15:30 - 16:00 | LOUNGE

Coffee Break

16:00 - 16:30 | EDUCATIONAL ROOM

Dominik Tomicevic | CEO & Co-Founder, Memgraph

Enabling the Next-Generation of Intelligent Applications
Talk overview

Graph databases have demonstrated the ability for organizations, from cutting-edge startups to global enterprises, to extract data intelligence that was next to impossible with traditional DBMS. However, first-generation graph databases fall short when it comes to delivering the real-time performance and scalability required to build modern applications.

Memgraph is on a mission to fulfil the true potential of graph databases and open the doors to a whole new era of applications, by bringing to life a high-performance, horizontally scalable graph platform.

Let us take you through our journey building the world’s fastest and most scalable graph platform, describe new and exciting use-cases we’re working on, and conclude by giving you an insight into the future of real-time graph databases and the role they will play in powering the next generation of business applications.

About the speaker: Dominik received his bachelor's degree in computer science from the University of Zagreb. In 2011, he was selected as one of the 4 people in the world, to receive the Microsoft Imagine Cup Grant, awarded by Bill Gates, for developing game-changing technologies in data processing. In 2016, he founded Memgraph, a venture-backed graph database company focusing on high-performance real-time connected data processing. Memgraph is a TechStars company, backed by some of the top technology investors and entrepreneurs in the UK and the US. In 2017, Dominik was named by Forbes as one of the top 10 CEOs in the UK to watch for in 2017.

16:35 - 17:05 |

Networking - Talks continue on Nodes and Edges Track

17:05 - 17:20 | NODES ROOM

Closing Remarks

17:20-18:30 | LOUNGE

Refreshments

Testimonials

SPONSORS & PARTNERS

Gold Sponsors

Tigergraph

Silver Sponsors

Cambridge Intelligence
Ontotext

Bronze Sponsors

Linkurious
Pool Party
Memgraph
Mekon

2018 Partners

DB-Engines
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The premier source of European technology news, data, analysis and market intelligence.
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Latest News

Read about the latest news in the Connected Data world of graphs, linked data, semantics, machine learning and Artificial Intelligence.
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Past Events

Venue

This year’s conference is hosted at the Prospero House in London Bridge.

Team

James Phare
James Phare

Logistics & Speaker Enquiries

George Anadiotis
George Anadiotis

Content & Sponsorship Enquiries

Fabio Sikansi
Fabio Sikansi

Volunteer

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