Why Eat Dog Food When We Can All Drink Semantic Web Champagne

Data Language are amazing! And how could they not be? With people like Silver Oliver – Head of Information Architecture, interconnecting media with graph data since BBC Olympics (see https://www.slideshare.net/slideshow/content-graphs-the-box-set-at-kgc-2023/257799124, Paul Wilton – Co-founder and Managing Director at Data Language, among all else -one of the contributors  Storyline Ontology An ontology to represent News Storylines (see https://www.bbc.co.uk/ontologies/storyline-ontology/), and Matt Shearer – CPO – with his impressive resume, a tiny part of which being the lead of the BBC Knowledge Product Team.

The amalgam of such creative and techy minds has nicely shaped into a tool for enterprise, I would say thought and action: Data Graphs.

Data Graphs allows you to “go from visually creating your ontology to having a live platform with API, webhooks, and a slick UI, within minutes”.

And I know this, together with my introduction, might sound a little  over the top, but I also know that when you try it, you will feel the same 🙂 and you will understand what all the effervescence is about.

Pop those Linked Data Bubbles: Data Language

Existing at the intersection of media, content design and solid experience in working with semantic technology, Data Language is a knowledge graph product company defining and delivering data platforms for global clients. And with a team grounded in scalable data engineering and digital media knowledge graphs at the BBC (have a look at their tracks at the Knowledge Graph Conference 2023), they not only delivered various platforms for clients, but also created an effervescent connected content graph for themselves.

Basking in the Glory of Linked Data and Content

Technically, Data Graphs public website https://datagraphs.com/ is running on top of a knowledge graph and the content in it is being managed, edited and maintained, including the images in it, through the graph, further rendering directly using the Data Graphs APIs and SDK onto the website. All the pages are optimized for SEO and modeled to present key information and concepts that matter to Data Language and their users (see Paul Wilton, Data Graphs Drinks Its Own Champagne)

Having interconnected concepts, products and key information for their stakeholders (Google’s algorithms included) the knowledge graph built allows Tim to follow his nose across media and content objects exploring to the depth wanted certain topics and products. For example, Tim can click on any tag in the blogpost: https://datalanguage.com/blog/data-graphs-drinks-its-own-champagne  and further continue to explore by seeing what other blogs and products are related to that tag-concept. 

And while this is not an uncommon experience for CMS users, the idea of presenting products, services and information as clickable sentences is novel and engaging. Tim can click on the “content graph” tag and then browse the problems this type of technology solves, as well as related posts to that.

Overall, Tim is navigating business logic and is presented with an information architecture that follows a certain narrative. This is par excellence communication presented in triples, where the user journey is supported by domain and business specific ontology propagated and translated smoothly into a website experience.

Here’s to more such content graphs!

Thanks for reading this story, which is an unplugged version of the Knowledge Graphs stories I present in my book Being Dialogic. I would love to hear your thoughts on the subject of webby words.v