Our latest insights

We have some pretty exciting news! We have filed an international patent on our new graph database query algorithm. We have also done some further benchmarking tests, and the results are pretty astounding.

We benchmarked Data Graphs and it’s fast. Really fast. In fact 110x faster than Neo4j on average, but that’s not the whole story. It gets better.

This week I have been on work experience at Data Language. I've learned how to design and launch a Knowledge Graph using Data Graphs, and then build a Web App on the APIs

How do you start designing a knowledge graph model? What are the first steps? In this post we will talk through the options when designing a knowledge graph and show how there no one single approach.

What role can domain-driven design play in the development of knowledge graphs? How development of skills around conceptual modeling could be the most useful for information professionals.

As demonstrated at KGC 2024, here is a step-by-step guide for creating the new IPTC Sport Schema in Data Graphs, in minutes, with the API ready immediately.

From 7th-10th August, we joined Kings College London Informatics Department in their 2023 Knowledge Prompting Hackathon using LLMs and Knowledge Graphs. Here are some early insights.

Building robust apps and business systems on graph databases has proven really hard, but it does not need to be. This is why.

Large Language Models are not displacing advanced specialist models (yet) .

Our reflections and insights on the themes from KGC2023, including combining LLMs and Knowledge Graphs, and why we are entering a golden age for knowledge graphs.

A look at the cost-benefit equation of Enterprise SaaS Data Platforms and why they should be a mainstream procurement choice.

A Content Graph case study on how the Data Graphs website is self powered - entirely knowledge graph driven

The new generation of Content Graphs are here, and deliver a complete linked media publishing platform.

Three takeaway insights and a brand new Data Graphs demo from our week at the Knowledge Graph Conference in New York - KGC2022

To deliver, robust, practical, scalable enterprise applications, you should treat your graph database with the same care, attention, and good data governance as any other database in your data architecture.

A case study on a recent engagement in the publishing industry using Data Graphs for centrally managing cross-publication content metadata, combined with Tagmatic for auto-tagging content.

We are always improving Data Graphs. Here is a brief roundup on a number of new features we have rolled out during the first quarter of 2022

Good training corpora are essential for ensuring AI automation services perform to their full potential. Here's how to prepare your 'Golden Corpus'.

According to Gartner, there are 4 main obstacles to knowledge graph adoption. Find out how Data Graphs tackles them.

We took attendees through the process of creating a knowledge graph in minutes, with our product Data Graphs.

How to build an arctic geospatial map projection using Leaflet and ReactJS

New data visualisations in Data Graphs lets you view your domain model and explore your knowledge graph visually.

Introducing Data Graphs - a fully managed SaaS structured data solution, that combines an intuitive user experience with flexible integration.

In part 3 of this series on declarative graphics with React and SVG we demonstrate how to use Clip Paths and lines of sight to constrain what is drawn.

In part 2 of this series on declarative graphics with React and SVG we explore SVG arcs, angles, and transformations, along with a useful little digression into alternative coordinate systems, with practical examples.

BOTT is a data ethics framework for the practical assessment of AI and predictive analytics models within their ecosystems.

Guest blogger Jim Howard shares his experiences in Sports publishing patterns, and how to extract most value from your sports data.

How Cochrane are marking up COVID-19 clinical studies with Schema.org and PICO structured data.

A knowledge graph case study on the data architecture of the Cochrane COVID-19 Study Register and the Cochrane Linked Data Project.

React and SVG make a powerful combination: Declarative UI component library meets declarative graphics language .  A match made in front-end developer heaven.

A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.

It is paramount we have proper discussions around AI and its social impact. Shutting down the argument and dismissing it as snake oil is not the best way forward.

Tagmatic goes head to head with a number of standard multi-label classification implementations. The result: don't build, buy.

The importance of establishing baseline technical viability as early as possible in technology delivery programs.

A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and mitigation.

An introductory guide to tagging, Part 1. Examining how developments in search technology created the perception that good information management practices were redundant.

An introductory guide to tagging, Part 3. Why is good quality subject tagging so hard? The post looks at literature from library science to explore the root causes and possible solutions.

An introductory guide to tagging, Part 2. Looking at the renewed interest in subject tagging and the challenges facing organisations in getting their information management right.

An introductory guide to tagging, Part 4. Using domain-driven design as a foundation for a better tag strategy.

For Data Science to truly live up to expectations, it must embrace software craftsmanship.

An architecture pattern for pull-based, automated content enrichment in media organisations.

How-to implement resilient very large file uploads to S3 using Dropzone and OpenID authentication, integrating with the AWS Managed Uploads API and Auth0.

A case for publishing JSON-LD regardless whether you are working with linked data or RDF, with some simple examples

Technical Debt is widely misunderstood. When executed correctly, it can be a powerful enabler of competitive advantage.

Visualisations of FIBO - the Financial Industry Business Ontology

A retrospective on resource identity and the practical implications of httpRange-14 following client handover on a very large semantic publishing program to a financial services client.

Thoughts on working with Wikidata from practical experience - its benefits and drawbacks.