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Interventions
Intervention

Launch a knowledge graph platform

A knowledge graph platform, complete with an API and Webhooks, integrated with core business processes, is a common intervention used to increase speed to market.
Solves these Problems
Data Model or Information Architecture changes are slow and expensive
Hampered by slow, expensive, and painful innovation
Improves these Problems
Slow to launch new products
Losing market share to more nimble competitors
No shared understanding of the core business structure
Tag duplication
Involves these Technologies
Content Graphs
A Content Graph is a knowledge graph that not only codifies core business domain metadata and relationships, but also manages digital content assets in the knowledge graph as "first class citizens"; video, video moments, audio, audio moments, articles, newsletters, user generated content, intelligence from other business systems, live streams and more.
Graph databases
GraphQL
The modern, ultra developer-friendly API standard for querying, mutating and interacting with data using well-formed data models. GraphQL works elegantly with ReactJS for efficient UI development. We have used GraphQL to provide robust, aggregate data interfaces across diverse enterprise data sources.
KGaaS - Knowledge Graph as a Service
Knowledge Graph as a Service is a particular type of "Software as a Service" ("SaaS") that enables users to design, launch and maintain a knowledge graph platform without having to manage the tools and infrastructure.
Knowledge Graphs
Data Language is a market leader in the design, implementation, and deployment of knowledge graphs (KGs), and we have developed a Knowledge Graph as a Service platform that enables exploration and speed-to-market.
Linked Data
Linked Data is a method for connecting and publishing structured data on the web, allowing it to be interlinked and easily accessible. It relies on standard web technologies such as HTTP, RDF (Resource Description Framework), and URIs (Uniform Resource Identifiers) to facilitate data integration across diverse systems.
Ontologies
Publishing Technology
Publishing Technology is a core discipline at Data Language, and the team have been working on this since 2000. Publishing Technology is becoming increasingly important as high-value knowledge organizations seek to move and pivot faster, and employ AI to amplify asset value.
Knowledge Graph Creation Tools
A category of specialized information management tools that support the design and creation of knowledge graphs. These include KGaaS products, as well as a range of enterprise knowledge graph platform offerings.
Domain-Driven Design (DDD)
Domain-Driven Design (DDD) is a methodology for developing a team's understanding of a problem space, including its important elements and how they relate to one another. This often takes the form of facilitated workshops with domain experts that culminates in the creation of a Domain Model that represents this shared understanding of the domain.
Mobilized with these SaaS features
Video Key Moment Curation
Video Key Moment Curation
Data Graphs supports Video Key Moment curation, in order to present users, social platforms, and search engines with better discovery and more enjoyable experience capabilities.
Knowledge Graph DAM (Digital Asset Management)
Knowledge Graph DAM (Digital Asset Management)
Data Graphs provides Knowledge Graph DAM capabilities: interconnected media asset management and delviery - images, video, video moments, audio, and more - with highly structured, connected graph metadata.
Learns new tags on-the-fly
Learns new tags on-the-fly
When your content creators introduce a new tag the training starts immediately without the need to update a training corpus, and without the need to stop and retrain the whole system.
Related Articles
Data Language at KGC 2023
Data Language at KGC 2023
Content Graphs
The Data Language team are at KGC 2023, showing a range of new Knowledge Graph capabilities and case studies.
Matt Shearer
Matt Shearer
May 8, 2023
The 13-minute knowledge graph, with Netflix, Disney+, AmazonPrimeVideo, and Hulu data
The 13-minute knowledge graph, with Netflix, Disney+, AmazonPrimeVideo, and Hulu data
Knowledge Graph Conferences
Watch our Demo from The Knowledge Graph Conference 2022, showing how we set up a media graph using Data Graphs in 13 minutes.
Matt Shearer
Matt Shearer
May 10, 2022
How Data Graphs addresses Gartner’s obstacles to Knowledge Graphs
How Data Graphs addresses Gartner’s obstacles to Knowledge Graphs
Knowledge Graphs
According to Gartner, there are 4 main obstacles to knowledge graph adoption. Find out how Data Graphs tackles them.
Silver Oliver
Silver Oliver
December 21, 2021
Data Language enables Janes to deliver a new knowledge graph powered DaaS
Data Language enables Janes to deliver a new knowledge graph powered DaaS
Launch a knowledge graph platform
Data Language announces a Knowledge Graph partnership with Janes, the trusted global agency for open-source defence intelligence
Paul Wilton
Paul Wilton
November 9, 2021

Based on years of experience in knowledge graph projects with global brands, we have refined this framework to realize the value of knowledge graphs, and to avoid the pitfalls.

Problem: Where to start?

There are is a tendency to go straight to technology. There are so many options - what is the first step?

Solution: Start with the model.

The foundation of all knowledge graph projects is to understand the domain.

Problem: How do we demonstrate the value?

It can be difficult for stakeholders to understand the possibilities offered by a knowledge graph in your domain.

Solution: Bring it to life with a reference implementation

A reference implementation uses real data from your domain, and enables stakeholders to see the opportunities and tangible benefits of a knowledge graph.