Many businesses recognise the potential value of structured content and structured classification. The opportunity for improving content discovery and re-use is substantial. However a lot of organisations come to a halt when it comes to moving from theory to practice.
In this article I'm introducing our new product; the Content Graph Explorer (CGE). If you haven't yet read the article Building a content graph you might like to take a look at it first, to explore some of the background ideas.
Organisations that work with content-rich information systems often have to contend with two major problems:
- How to find existing content
- How to make new, re-usable content
The first problem is usually addressed, with varying levels of success, by full-text searching. The second is often not addressed at all, and I'll have more on this later. To deal with the issue of searching first; this problem is not restricted to the internal needs of organisations; everyone deals with the problem of information searching.
Human beings are natural organisers; we spend our entire lives classifying things, grouping and ordering things and comparing and contrasting things with other things. It's probably a trait that helped us survive and evolve - being able to distinguish one type of four-legged furry creature (a sheep - eat it) from another four-legged furry creature (a lion - run away from it) must have been a useful survival skill. The process through which we organise the things in our world is very much about building
Our Semantic Technologies Acceleration Roadmap (STAR) programme is a tried and tested approach to realising the benefits of implementing semantic technologies. This is a package of components assembled for your organisation's unique needs.