The conference for AI, Graph Databases and Linked Data
2017 conference themes
November 16th will feature presentations from industry and research leaders across 4 Connected Data themes.
These are designed to encourage cross fertilisation across AI, Graph, Linked Data and Semantic communities and foster adoption of these technologies.
AI needs Connected Data & Connected Data needs AI
Historically AI, Linked Data and Semantic Technologists have been relatively separate communities. Increasingly dependencies between these areas are being recognised and challenging new research & commercial applications developed.
Will the vision of a truly semantic web only be realised using the power of AI? Perhaps the Semantic Web will prove the critical building block for true contextually aware AI applications? These points and many more around Knowledge Representation, Machine Learning, Neural Networks and other disciplines will be debated.
Getting started with Connected Data
Connected Data is a relatively emerging area, certainly when compared to traditional technologies & approaches. Whilst you may be convinced of the power and opportunity knowing where to start & convincing your sponsors and other stakeholders to support you can be tough.
This theme is designed to tackle exactly the above and provide practical advice on proven tools, techniques and standards that you can adopt in your own organisation.
Schema centric vs Schemaless
When should I reuse existing standards & ontologies? Should I use a schemaless property graph, triplestore, quadstore or other technology? Should I do my modelling upfront or prototype and iterate my data model?
These are some of the key questions often phased by those working or considering Connected Data applications. Connected Data London is the only global conference that truly brings together these communities to discuss where, how and when to use these approaches & technologies.
Linked Open Data - where now & where next?
Open Data is now firmly part of the global Data Landscape. However Linked Open Data is still a relatively small proportion of the overall data landscape. This theme focuses on the opportunities and barriers affecting adoption.
Whether you are a publisher or consumer of Open Data this theme touches on key issues and opportunities such as standards development, open source technologies, privacy & commercial considerations.
Designed for all levels of maturity & understanding
Whether you’re an industry leader or just starting out you’ll find a rich array of topics including:
AI, Semantic Technology & Inferencing
Scalability & performance
Ontology & Data Model development
Graph Query Languages
Integration approaches & APIs
Master Data Management
Metadata & Data Quality Management
Annotation & extraction
Network Analysis & Visualisation
Natural Language Processing
Semantic & Graph Search
2 Content Tracks
There will be two content tracks at this year’s conference to give delegates a chance to attend in depth talks and shorter educational & product focused talks.
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!
Educational & Product awareness track
In the Maxwell Room where refreshments are served throughout the day there will be 20 minute educational and product awareness lightening talks.
These are designed to give you a swift introduction to a technology, standard, research thesis or other topic.