Graph-based technologies for intelligence analysis
Communications of the ACM - Homeland security
Zoomable user interfaces for the authoring and delivery of slide presentations
Zoomable user interfaces for the authoring and delivery of slide presentations
A document corpus browser for in-depth reading
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
ScentHighlights: highlighting conceptually-related sentences during reading
Proceedings of the 10th international conference on Intelligent user interfaces
Entity quick click: rapid text copying based on automatic entity extraction
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Context-Aware, adaptive information retrieval for investigative tasks
Proceedings of the 12th international conference on Intelligent user interfaces
Medical sensemaking with entity workspace
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A content-driven access control system
Proceedings of the 7th symposium on Identity and trust on the Internet
Jigsaw: supporting investigative analysis through interactive visualization
Information Visualization
VisualWikiCurator: human and machine intelligencefor organizing wiki content
Proceedings of the 16th international conference on Intelligent user interfaces
VisualWikiCurator: a corporate Wiki plugin
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Can concept-based user modeling improve adaptive visualization?
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Where do I start?: algorithmic strategies to guide intelligence analysts
Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Storytelling in entity networks to support intelligence analysts
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An information theoretic framework for web inference detection
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Why do they still use paper?: understanding data collection and use in Autism education
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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An intelligence analyst often needs to keep track of more facts than can be held in human memory. As a result, analysts use a notebook or evidence file to record facts learned so far. In practice, the evidence file is often an electronic document into which text snippets and hand-typed notes are placed. While this kind of evidence file is easy to read and edit, it provides little help for making sense of the captured information. We describe Entity Workspace, a tool designed to be used in place of a traditional evidence file. Entity Workspace combines user interface and entity extraction technologies to build up an explicit model of important entities (people, places, organizations, phone numbers, etc.) and their relationships. Using this model, it helps the analyst find and re-find facts rapidly, notice connections between entities, and identify good documents and entities to explore next.