Our Market Sectors

We have experience in implementing innovative linked data systems for numerous clients across a range of market sectors, including finance, media and IT solutions, using our expertise to help businesses organise, publish and exploit linked data.

  • Linked Data Government Community then and now (11 years since UKGovLD)

    At the end of June it will be 11 years since the Government and Industry Linked Data Working Group was set up to support the adoption of connected data, web focused data standards and key reference data approaches that have been embedded across the UK Public sector. The group was a great collaborative team that…

  • Implementing a GraphQL API for a Graph Database

    Implementing a GraphQL API for a Graph Database

    Simon, one of our senior engineers talks about his experiences implementing a GraphQL API for a Graph Database.

  • Accessing the Environment Agency’s continuous monitoring archive via API

    Accessing the Environment Agency’s continuous monitoring archive via API

    Our delivery manager Tom Guilbert highlights the updated API that underpins the Environment Agency’s continuous monitoring archive that we designed, built and run. The API is a way to access the massive volume of data behind the Hydrology Data Explorer.  Introduction This blog follows on from a previous #TechTalk post about a new and hugely…

  • UK Government Data Maturity Assessment Framework

    We’ve been looking at the UK Government’s Data Maturity Assessment for Government Framework published in March this year.  We see it as an important framework, in that it will inform central governmental (and possibly other) organisational data strategies in the coming years, especially in the context of the National Data Strategy, so have taken a…

  • Publishing the Environment Agency’s Hydrology Archive for Everyone

    Our Delivery Manager Tom Guilbert reflects on his first year with Epimorphics since leaving the Environment Agency, whilst announcing the launch of our major overhaul of the Environment Agency’s Hydrology Data Service.

  • My First 6 Months as a Frontend Software Engineer at Epimorphics

    My First 6 Months as a Frontend Software Engineer at Epimorphics

    Our new Frontend Software Engineer Daniel shares his experience of working at Epimorphics over the past 6 months. He talks about the challenges he faced, the skills he acquired, and the impact he has made. He also dives into the work culture at the company and the projects he worked on.

  • Writing ontologies with ChatGPT

    Writing ontologies with ChatGPT

    We’ve been watching the development of modern Large Language Models (LLM) like GPT with keen interest and some awe. Like much of the tech world we’ve been fascinated by ChatGPT and the mix of impressive results, some errors and some outright making (convincing) stuff up, that it delivers As others have noticed, ChatGPT has a…

  • Our 2021/2022 Carbon Footprint

    Our 2021/2022 Carbon Footprint

    2021/22 is the second year we have formally estimated our carbon footprint working closely with carbon footprinting consultants Carbon Footprint Ltd to ensure that we are following standards and guidelines as closely as we can. Having done our footprint last year, it was easier and quicker pulling the information and data required together this year.…

  • The problem of state, running linked data services in Kubernetes

    An important part of our work involves running and managing services for our clients. Whether public facing data services such as the Environment Agency Hydrology service or Food Standards Agency listings of regulated products, or private data services used for data integration and access within a client’s business. Running so many managed services efficiently means…

  • Regression testing and data checking using SPARQL

    Regression testing and data checking using SPARQL

    Many of our projects involve the transformation of source data from a tabular format into RDF that has been aligned with classes and properties drawn from RDF vocabularies. Over time the source data, target vocabularies and the transforms themselves can be subject to change. We have a growing number of relatively generic regression checks that…