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Library Science

The Data Language team has a background in library science, and this is particularly useful in the business applications of AI, graph technologies, and leveraging structured information at scale.
Related Articles
Why the web turned its back on the librarians. And why we need them back.
Why the web turned its back on the librarians. And why we need them back.
Information Architecture
An introductory guide to tagging, Part 1. Examining how developments in search technology created the perception that good information management practices were redundant.
Silver Oliver
Silver Oliver
June 4, 2019
Why good subject tagging is hard
Why good subject tagging is hard
Information Architecture
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 Oliver
Silver Oliver
June 4, 2019
The importance of tagging when publishing on the web
The importance of tagging when publishing on the web
Information Architecture
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 Oliver
Silver Oliver
June 4, 2019
How to use domain modeling to improve subject tagging
How to use domain modeling to improve subject tagging
Domain-Driven Design (DDD)
An introductory guide to tagging, Part 4. Using domain-driven design as a foundation for a better tag strategy.
Silver Oliver
Silver Oliver
June 4, 2019