Life Sciences

Managing and taking advantage of valuable data assets, whether internally generated or publicly available, is key to the future for many life science applications.

The FAIR principles for research data management highlight best practices for sharing open data.

Findable, Accessible, Interoperable, Reusable

For many FAIR based solutions semantics are vital and with Graphologi's support for large life science ontologies (especially OBO), as well as EasyGraph's ability to deliver and navigate around the data, Graphifi can help accelerate your work in this area.

Education

Education providers are one example where the use of knowledge graphs and content graphs can have great benefits, helping solve the issue of getting learning content and learning journeys to users in smart and dynamic ways.

Graphifi have various customers in the education space and the team have also substantial experience in building educational graphs.

Find out more in our education deck.

eCommerce and Retail

Retail and eCommerce are driven by metadata and an important part of that metadata is using taxonomies to consistently enrich product information.

As well as classification for search and browsing taxonomies and ontologies play an increasingly important part in providing customer recommendations for products through the use of AI driven by semantics.

Additionally, metadata can be vital in providing a 360 degree view of the customer to better understand and drive an enhanced user experience.

Media and Publishing

Providing better metadata management for media and content is at the heart of getting more value from an organisations digital assets.

Whether it is classifying content, extracting information from that content, or adding metadata to help improve discovery and reuse at the core of that is taxonomies and ontologies and, increasingly knowledge graphs to help organisations get a better insight onto the assets they maintain.