RDF vs Property Graph: Is your Graph Semantic?
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 […]
Meetup #9 July 2017 – Linked Data at the BBC
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. […]
The Connected Data Landscape
A big thank you to Augustine Kwanashie for talking at our July Connected Data meetup on his experiences of working on the BBC’s Linked Data Platform. Valtech kindly agreed to host the event at their London offices and we had a range of attendees from newbies to expert linked data, semantic & graph practitioners. […]
From Graphs to a Knowledge Base
We are often asked what Connected Data is as a discipline or concept. It’s a difficult question to answer, partly because in our mind it is a broad church featuring a range of technologies and skillsets but also because it’s an emerging area whose scope, best practices and skillsets is constantly undergoing refinement inline with […]
How the Telecoms industry leverage triple-store technologies
Big thanks to Haikal and the team at https://grakn.ai/ for an energetic overview of Knowledge Graphs and Graph database technology in general at our meetup on 26th April. The visualisation and inferencing components were especially well received and it was great to see so much audience participation! Stay tuned for the next meetup in the series. […]
Meetup – Linked Data for Banks : a novel approach to an age old problem
Big thanks to Connected Data meetup group regular Valerio Malenchino of Ontology for his really in depth overview of how telecoms providers use Connected Data tech. It was really interesting to see how semantic impact analysis can be conducted in a way that is both accessible and detailed for users. Valerio gave us a great introduction […]
Tony Seale spoke at our first meetup of 2017 speaking about applications of Linked Data technologies within the Banking industry. Tony has a great deal of practical experience working with RDF, triplestores and related technologies. He gave a great practical introduction into some of the challenges of the benefits of upskilling development teams and adopting standards. This […]