Video: Introduction to system (mov, 32M), Tutorial (mov, 11M)
Collaborators: John Stasko, Carsten Görg, and more
Investigative analysts and researchers acquire clues and connect small bits of evidence to uncover larger plans, stories, or narratives, and to simply gain a better understanding of the information. Often, the individual bits of evidence are short text documents or spreadsheets, and analysts must examine large collections of such documents in order to “put the pieces together” and formulate a well-supported hypothesis about actions that may occur in the future. As the number of documents to examine rises, it becomes more and more challenging for analysts to understand the data and make judgments about it.
Jigsaw provides interactive visual representations of the documents, the entities within the documents, and connections between them. Textual processing extracts the important entities from the documents and then the visualizations help an analyst to explore the relationships and connections among the entities. The system includes a variety of visualizations such as list, graph, temporal and connection-based views, as well as views of individual document’s text and the document collection as a whole. Jigsaw essentially acts as a visual index onto the document collection, helping analysts identify particular documents to read and examine next.
Read more about Jigsaw on the Information Interfaces Lab site.