This paper presents a visual analytic system called Jigsaw that represents documents and their entities visually in order to help analysts examine reports more efficiently and develop theories about potential actions more quickly. It provides multiple coordinated views of document entities with a special emphasis on visually illustrating connections between entities across the different documents. It helps investigative analysts who are faced with the challenging task of assessing and making sense of large bodies of information.
Jigsaw is designed to assist analysts with foraging and sense-making activities across collections of textual reports. Through interactive exploration, analysts are able to browse the entities and connections to help form mental models about the plans and activities suggested by the report data but it is not a substitute for careful analysis of the reports. Instead, it acts as a visual index that presents entity relations and links in forms that are more easily perceived, thus suggesting relevant reports to examine next. Since Jigsaw uses other available tools to extract the entities from a document, without determining the accuracy of these tools, it is not possible to judge if Jigsaw presents the information correctly.
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