Organix: Creating Organic Objects from Document Feature Vectors

Abstract

This paper presents a mechanism for generating visually appealing but also effective representations for document visualisation. The mechanism is based on an organic growth model which is driven by features of the object to be visualised. In the examples used, the authors focus on the visualisation of text documents, but the methods are readily transferable to other domains. They are also scaleable to documents of any size. The objective of this research is to build visual representations that enable the human visual system to efficiently and effectively recognise documents without the need for higher level cognitive processing. In particular, the authors want the user to be able to recognise similarities within sets of documents and to be able to easily discriminate between dissimilar objects.