Thomson Reuters – sponsor profile

Thomson Reuters are sponsoring Connected Data London 2017 as part of their adoption of Connected Data technologies for the next generation of Financial Services data and software products. Through their Big Open Linked Data (BOLD) offering Thomson Reuters are leading the way in terms of adoption of Connected Data approaches within the financial services. Increasingly […]

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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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RDF and OWL : the powerful duo

About the talk In this lightning talk Tara will discuss how you create ontology models to make your data smart (machine-readable) using OWL.  How can these be used to convert existing data silos into a unified RDF fabric and how do you map these datasources into existing ontologies? These are all questions Tara will address […]

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Building the world’s largest open source of company data

About the talk Chris Taggart will share his experience of building from scratch the world’s largest open database of companies data (134m companies as of Sep 2017). In his talk Chris will present how the technical engineering challenges and data quality issues faced and how OC worked to overcome these leveraging connected data standards, best […]

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Building the world’s largest open data of companies data

Chris Taggart will share his experience of building from scratch the world’s largest open database of companies data (134m companies as of Sep 2017). In his talk Chris will present how the technical engineering challenges and data quality issues faced and how OC worked to overcome these leveraging connected data standards, best practices and technologies […]

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