by Paul Appleby
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22 March 2023
As more companies adopt graph technology to solve their business problems one aspect that comes up in conversation with almost everybody we talk to is the desire to easily search and understand the information in their graph. There are a great variety of use cases for graph browsing experiences. For some it is more akin to being able to view a data catalogue (perhaps a list of taxonomies and ontologies for instance), whilst for others being able to walk around the graph in a free manner is important. Most people will have a different view on what the user experience is. It may depend upon what users are browsing within the graph and need to adjust accordingly. For instance, taxonomies are generally tree-like structures, whilst catalogues are lists and other data may be connection rich, so a more connection based browse may be applicable. The issue for many people is that they don’t want to, or don’t have the time or budget, to build that user experience. And, if a goal is to show value from a graph implementation quickly, then getting side-tracked on building visualisations can be a barrier to doing that.