This paper talks about Jigsaw which is built to analyse documents and the entities within those documents so as to create visualizations which can help in effective analysis. This system takes into consideration the concept of entities in the documents. The author suggests that entities mentioned in the documents to be analysed are connected. Jigsaw aims to effectively map these connections.
Jigsaw provides three kinds of views for the analyst after the required document has been processed. The tabular view which consists of lists of entities in different tables and relation portrayed by links between them. The graph view which relays the connections between entities and reports in a link-node diagram. Scatter-plot view which provides the option of viewing relations between entities and a text view which has the text with the entities under consideration i.e words highlighted.
The author further explains about each view systematically and how useful it can be for analysis. I think that providing such different views and mapping the interactions within one view to the other is an exceptional property of this application. Normally, visualization don't keep a track of what the user has done in an other view. But, with this functionality; Jigsaw helps maintain the consistency between view which is very important in any analytic process. The option of having one view on one screen is also great.
In a nutshell, Jigsaw is an excellent tool for textual investigative analysis with a lot of scope for improvement and practical applications.
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