Linked Open Data: Is it failing or just getting out of the blocks?
Getting Connected Data off the ground in your organisation
In this panel discussion we bring together leaders in the Open Data and Linked Open Data (LOD) spaces to debate whether the current approaches to publishing Linked Open Data are working, what the major challenges are for adoption and what the future looks like. Whilst the Linked Open Data cloud continues to grow year […]
Tackling climate change through agricultural supply chain transparency
Starting to leverage Connected Data tools, techniques and capabilities in your organisation can seem daunting, yet every leader has had to start somewhere. In this panel discussion leaders and newcomers to the connected data space share some practical tips in getting initiatives off the ground and common pitfalls to avoid. Whether its a Enterprise Knowledge […]
Large Scale Graph visualisation techniques
About the talk Trase.earth is a powerful new sustainability platform by the Stockholm Environment Institute (SEI) that enables governments, companies, investors and others to better understand and address the environmental and social impacts linked to their supply chains. Its pioneering approach draws on vast sets of production, trade and customs data, for the first time […]
Data Model vs Ontology Development – a FIBO perspective
Fabio will give attendees a practical overview of the history and future developments in large scale graph visualisation techniques. Providing attendees with a whistlestop tour of key concepts such as edge-bundling Fabio will demonstrate how leaders are using these techniques to draw meaning from large scale connected datasets. About the Speaker Fabio […]
RDF vs Property Graph: Is your Graph Semantic?
About the talk In this lightning talk Mike Bennett will draw upon the experience of creating the Financial industry Business Ontology (FIBO), to set out how ontologies and data models compare, what it takes to create a business ontology as a common language, and how this is realized in practical applications that use inferencing […]
Does Connected Data need AI or AI need Connected Data?
Is RDF for unstructured data while property graphs are for highly structured data? Will the RDF model discover new knowledge for me? Is RDF AI? Does RDF exclusively live in triple stores? All of these are statements that have been published by analysts and vendors, building a wall of misconceptions between the two worlds that […]
Delivering Technology for People through Explainable AI (XAI)
Connected Data encompasses data acquisition and data management requirements from a range of areas including the Semantic Web, Linked Data, Knowledge Management, Knowledge Representation and many others. Yet for the true value of many of these visions to be realised both within the public domain and within organisations requires the assembly of often huge datasets. […]
Cognitive Computing for the delivery of healthcare
About the talk Machine learning and its models have been largely studied to derive efficient solutions for problems ranging from regression, classification to clustering. However, explaining such models and their underlying predictions remains an open problem, mainly due to the model complexity and interpretability. This work presents our journey towards Explainable AI (i.e., how […]
What is Connected Data?
About the talk The delivery of care relies on information coming from systems of record (e.g. EMRs), information collected by professionals (e.g. assessments) and information collected by IoT devices, as well as a vast corpus of knowledge from the medical and social care domains. How do we connect this information and use it to improve the health of […]
What is Connected Data as a concept? Who is interested in Connected Data? What problems does Connected Data solve? What skills are used in Connected Data? Connected Data as of July 2017 has been running for over a year with very successful conference and 9 meetups held to date on a range of topics. […]