Rebooting Connected Data in London

Tired of the AI-washing and buzzword dropping? Interested in finding the connections in your data and performing advanced analytics and reasoning? Then Connected Data may be just what you need. Now all you need is to figure out what it is. This is what i wrote last year, and these are words i still stand […]

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A Knowledge Graph-Based Semantic Database for Biomedical Sciences

About the talk The proliferation of biological research data generated and shared openly online is of huge benefit to the scientific community, but there are often significant challenges to overcome before it can be integrated from different sources and re-used to gain new knowledge. This paper introduces BioGrakn, which is a graph-based deductive database, combining […]

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Micro-Servicing Linked Data

Abstract: A prototypical blueprint of a linked data application places a triple store with its SPARQL endpoint at the centre of the architecture, for storing and accessing all application data. However, modern web apps are much more commonly designed around the concept of microservices, i.e., lightweight APIs owning narrow, focused fragments of the data model, […]

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Techniques for effective graph visualisation

About the talk As organisations rely more and more on graph insight, the volume of data being collected and analysed has exploded. The result: overloaded charts and overwhelmed analysts. In this session, Dan will share some of the ways you can eliminate clutter in your graph visualisations. He’ll explain each of the techniques available, and how they […]

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What is a Graph Database?

About the talk In this lightning talk Ljubica will provide an introduction to what is a graph database, how it differs to other models such as the relational paradigm and why graph databases are being increasingly adopted. She will outline some common use cases for connected data such as fraud detection, 360° view of customer […]

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Connected Data for Machine Learning

About the talk Knowledge graphs and connected data standards have transformed how data is managed made available in many organizations. Likewise, machine learning is at the core of many novel applications. In this talk, Paul looks at applications of these fundamental computational layers within Elsevier. He will focus on how they buttress each other but […]

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Transforming access to culture & history with Connected Data

About the talk Cultural Heritage (CH) is, from a computational perspective, a messy domain, with data sources ranging from art galleries to medical libraries to newspaper publishers and a user base that includes graphic designers and academic researchers alongside performing artists and amateur genealogists. For Europeana, one of the world’s largest aggregators of digital Cultural […]

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