Content enrichment is the application of modern content processing techniques like machine learning, AI and natural language processing to add structure, context and metadata to content to make it more useful to humans and computers. It moves your content from a traditional static asset, e.g. a book, to something more agile and dynamic and therefore more valuable.
Content is at the centre of everything a publisher does and so enriching that content delivers significant value across the whole content lifecycle. Applying content enrichment within an organisation's content assets can:
Support faster and more flexible production workflows
Increase the value of legacy and new content
Increase revenues from existing channels
Improve the user experience with better discoverability features and linking
Improve SEO with better quality metadata
Enable better reuse of content
Deliver revenues from new digital products
Enable content to be found more easily by users
Open up new revenue streams and improve the digital and content strategy
Improve marketing results and increase sales
Content enrichment utilises capabilities like entity identification, content classification against a taxonomy and semantic fingerprinting. These capabilities can each drive multiple product features like the display of related content items, improved content notifications, taxonomic browse, faceted search, content collections and semantic search.
At 67 Bricks we help publishers manage and enrich their content and deliver innovative information products. We build automated enrichment systems, delivery applications and editorial tools to support publishers in achieving their content enrichment needs. We also formulate and implement content enrichment strategies.
Our work with publishers has identified benefits from content enrichment in every part of the organisation (sales, marketing, content production and editorial, product development, finance and IT). Every publisher should be developing a plan for how they will utilise modern content processing techniques and tools. We specialise in helping you take a strategic approach to building your core content enrichment capability and using it to achieve strategic business objectives.
Want to know more?
Content enrichment can be a manual or automated process or a combination of manual and automated (augmented) processes. Read our introduction to content enrichment approaches to find out more about processes such as statistical analysis, machine learning and ontological classification.
What is a semantic fingerprint? Content enrichment comes with a number of terms that need some clarification. Our content enrichment jargon buster provides our definitions of the relevant terms and how they relate to content enrichment.
To learn more about AI and its potential uses in publishing you can watch this video of our client services director speaking on the subject at the 2017 ALPSP conference.
Read our publications
For more information about how content enrichment can help you achieve your strategic business objectives take a look at our white paper, Content Enrichment: an essential strategic capability for every publisher.
The 67 Bricks and Marklogic white paper discusses how content enrichment and NoSQL enable academic publishers to transform their data and content assets to address the challenges facing today’s authors, researchers, and librarians.