Organic Visualization of Document Evolution

Abstract

Recent availability of data of writing processes at keystrokegranularity has enabled research on the evolution of document writing. A natural step is to develop systems that can actually show this data and make it understandable. Here we propose a data structure that captures a document's fine-grained history and an organic visualization that serves as an interface to it. We evaluate a proof-of-concept implementation of the system through a pilot study with documents written by students at a public university. Our results are promising and reveal facets such as general strategies adopted, local edition density and hierarchical structure of the final text.

Exploring, browsing and interacting with multi-scale structures of knowledge

“…With this in mind, we can therefore draw inspiration from any research that focuses on the visualization of processes under way. For instance, recent breakthroughs in terms of writing processes have enabled researchers to design ad hoc representations which endogenously translate the making of a text as well as its inner content [55]. Similarly, in what follows, we plan to build a pair of dedicated views organically deriving from the phylomemy reconstruction process and, by doing so, to translate the phylomemy's multi-level and multi-scale properties.…”

Bio-inspired Structure Identification in Language Embeddings

“…edges for the user-defined relations between them. Depending on the interpretation of the working data, higher-level entities can be mapped to this structure, such as documents [26], stories [33], or even ideas [23] -with suitable relational axioms applied to them. At a more granular level, syntactic relations in linguistics are often represented as graph diagrams [25], as are the ontological relationships between words [11].…”