Data Graphs Cypher Benchmark - 110x faster than Neo4jData GraphsWe 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.Paul WiltonSteve LilesJuly 24, 2024
Work Experience: Knowledge Graph and Apps in a WeekData GraphsThis 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 APIsJonah MaddocksJuly 19, 2024
How to build a knowledge graph: three different ways to get started Knowledge GraphsHow 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.Silver OliverJuly 15, 2024
Using Domain-Driven Design and conceptual modelling to support knowledge graph developmentDomain ModellingWhat 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.Silver OliverJune 27, 2024
How to recreate the IPTC Sports Demo - Data Graphs at KGC 2024Data GraphsAs 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.Silver OliverMatt ShearerMay 10, 2024
Insights from the KCL LLM Knowledge Prompting Hack Event 2023Integrate a Large Language Model (LLM) AI with a Knowledge GraphFrom 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.Anthony HughesAugust 14, 2023
Building Robust and Usable Knowledge GraphsKnowledge GraphsBuilding robust apps and business systems on graph databases has proven really hard, but it does not need to be. This is why.Paul WiltonJune 20, 2023
The surge of LLM models and their impact on TagmaticArtificial Intelligence (AI)Large Language Models are not displacing advanced specialist models (yet) .Fabio ColasantiJune 19, 2023
LLMs, Content Graphs, and The Golden Age for Knowledge Graphs, from KGC2023Knowledge Graph ConferencesOur 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.Matt ShearerJune 14, 2023
Enterprise SaaS Data Platform Procurement CostsEnterprise Technical ArchitectureA look at the cost-benefit equation of Enterprise SaaS Data Platforms and why they should be a mainstream procurement choice.Paul WiltonJune 6, 2023
Data Graphs drinks its own ChampagneContent GraphsA Content Graph case study on how the Data Graphs website is self powered - entirely knowledge graph drivenPaul WiltonJune 1, 2023
Content Graphs: The Box SetContent GraphsThe new generation of Content Graphs are here, and deliver a complete linked media publishing platform.Paul WiltonMay 5, 2023
Reflections and Insights from the Knowledge Graph Conference 2022Knowledge GraphsThree takeaway insights and a brand new Data Graphs demo from our week at the Knowledge Graph Conference in New York - KGC2022Alexi BuckinghamMay 12, 2022
Graph Databases are not Magic CauldronsGraph databasesTo 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. Paul WiltonMay 4, 2022
Case Study: How Data Graphs and AI Auto-Tagging transforms PublishingPublishing TechnologyA 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.Paul WiltonApril 10, 2022
New Features in Data Graphs - Q1 2022Data GraphsWe 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 2022Charlie FurnissMarch 15, 2022
Preparing a Training CorpusTraining CorpusGood training corpora are essential for ensuring AI automation services perform to their full potential. Here's how to prepare your 'Golden Corpus'.Fabio ColasantiFebruary 22, 2022
How Data Graphs addresses Gartner’s obstacles to Knowledge GraphsKnowledge GraphsAccording to Gartner, there are 4 main obstacles to knowledge graph adoption. Find out how Data Graphs tackles them.Silver OliverDecember 21, 2021
Creating a Knowledge Graph in 12 minutes at Ontotext’s Knowledge Graph ForumKnowledge GraphsWe took attendees through the process of creating a knowledge graph in minutes, with our product Data Graphs.Alexi BuckinghamNovember 15, 2021
Arctic Projections with Leaflet and ReactSoftware DevelopmentHow to build an arctic geospatial map projection using Leaflet and ReactJSSteve LilesMay 25, 2021
Knowledge Graph Visualization in Data GraphsKnowledge GraphsNew data visualisations in Data Graphs lets you view your domain model and explore your knowledge graph visually.Paul WiltonMay 9, 2021
Data Graphs - Fully Managed Knowledge GraphsKnowledge GraphsIntroducing Data Graphs - a fully managed SaaS structured data solution, that combines an intuitive user experience with flexible integration.Paul WiltonJanuary 19, 2021
Graphical UI's with SVG and React, Part 3 - Clip PathsSoftware DevelopmentIn 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.Steve LilesOctober 31, 2020
Graphical UI’s with SVG and React, part 2 — Arcs, Angles, and TransformationsSoftware DevelopmentIn 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.Steve LilesOctober 1, 2020
The BOTT Framework for Practical Data EthicsData EthicsBOTT is a data ethics framework for the practical assessment of AI and predictive analytics models within their ecosystems.Paul WiltonJuly 27, 2020
Getting the most from your Sports DataInformation Architecture (IA)Guest blogger Jim Howard shares his experiences in Sports publishing patterns, and how to extract most value from your sports data.Jim HowardJuly 2, 2020
PICO, Cochrane and Schema.orgInformation Architecture (IA)How Cochrane are marking up COVID-19 clinical studies with Schema.org and PICO structured data.Paul WiltonMay 31, 2020
How knowledge graph technology is helping Cochrane respond to COVID-19Knowledge GraphsA knowledge graph case study on the data architecture of the Cochrane COVID-19 Study Register and the Cochrane Linked Data Project.Paul WiltonMarch 28, 2020
Graphical UI's with SVG and React, part 1 - Declarative GraphicsSoftware DevelopmentReact and SVG make a powerful combination: Declarative UI component library meets declarative graphics language . A match made in front-end developer heaven.Steve LilesMarch 10, 2020
GraphQL and Graph DatabasesGraph databasesA discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.Paul WiltonFebruary 5, 2020
We need to talk about AIArtificial Intelligence (AI)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.Fabio ColasantiNovember 23, 2019
Benchmarking TagmaticTagmaticTagmatic goes head to head with a number of standard multi-label classification implementations. The result: don't build, buy.Fabio ColasantiOctober 10, 2019
Architecture ConceivabilityTechnical ArchitectureThe importance of establishing baseline technical viability as early as possible in technology delivery programs.Julian EverettSeptember 22, 2019
Current impacts of AI on Technology DeliveryArtificial Intelligence (AI)A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and mitigation. Julian EverettSeptember 17, 2019
Why the web turned its back on the librarians. And why we need them back.Information Architecture (IA)An introductory guide to tagging, Part 1. Examining how developments in search technology created the perception that good information management practices were redundant. Silver OliverJune 4, 2019
Why good subject tagging is hardInformation Architecture (IA)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.Silver OliverJune 4, 2019
The importance of tagging when publishing on the webInformation Architecture (IA)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.Silver OliverJune 4, 2019
How to use domain modeling to improve subject taggingDomain-Driven Design (DDD)An introductory guide to tagging, Part 4. Using domain-driven design as a foundation for a better tag strategy.Silver OliverJune 4, 2019
Data Science is about building softwareData ScienceFor Data Science to truly live up to expectations, it must embrace software craftsmanship.Fabio ColasantiNovember 17, 2018
Daisy ArchitectureTechnical ArchitectureAn architecture pattern for pull-based, automated content enrichment in media organisations. Julian EverettJuly 17, 2018
Using S3 Managed Uploads with Dropzone and OpenID to support very large file uploadSoftware DevelopmentHow-to implement resilient very large file uploads to S3 using Dropzone and OpenID authentication, integrating with the AWS Managed Uploads API and Auth0.Paul WiltonJune 17, 2018
Publishing JSON-LD for DevelopersJSON-LDA case for publishing JSON-LD regardless whether you are working with linked data or RDF, with some simple examplesPaul WiltonApril 27, 2018
Reassessing Technical DebtTechnical Debt (Tech Debt)Technical Debt is widely misunderstood. When executed correctly, it can be a powerful enabler of competitive advantage.Fabio ColasantiApril 23, 2018
Visualising FIBOInformation Architecture (IA)Visualisations of FIBO - the Financial Industry Business Ontology Paul WiltonApril 2, 2018
Resource Identity and httpRange-14Linked DataA 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.Julian EverettApril 2, 2018
Wikidata - Q41483Linked DataThoughts on working with Wikidata from practical experience - its benefits and drawbacks.Paul WiltonApril 1, 2018