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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Building NextGen Enterprise data platforms – breaking silos, standardizing models & availability at scale

About the talk In this talk Graham Cousins & Edin Zajmovic of Thomson Reuters will talk about the organisation’s experience of building the first Financial Services Knowledge Graph and Enterprise Linked Data Platform. Big, Open, Linked Data (BOLD) is a first of its kind pioneering initiative within Financial Services which is integrating disparate structured and […]

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How to Build a Corporate Knowledge Graph – from the bottom up

About the talk All knowledge-intensive industries are about to undergo huge changes as AI automates many low-skilled tasks. To remain competitive most large companies are ready to embrace this fact, but there is a problem:  AI needs clean and connected data to produce good results. The task of linking and consolidating all the data within a company seems impossibly […]

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Associative Semiotic Hypergraph Database in Intersystems Cache with Python Pandas

About the talk Athanassios will provide an introduction to key concepts in the associative, semiotic, hypergraph approach. In the first half of his talk he will demonstrate the technology using R3DM/S3DM database framework system that is adapted and tuned for Intersystems Cache multi-model DBMS with a command and graphical user interface that is built in […]

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