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Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 3975/2006 |
| Book | Intelligence and Security Informatics |
| DOI | 10.1007/11760146 |
| Copyright | 2006 |
| ISBN | 978-3-540-34478-0 |
| Category | Data Analysis, Knowledge Discovery, and Information Dissemination |
| DOI | 10.1007/11760146_42 |
| Pages | 466-472 |
| Subject Collection | Computer Science |
| SpringerLink Date | Wednesday, May 10, 2006 |
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Data Analysis, Knowledge Discovery, and Information Dissemination
Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
Eric A. Bier1 , Edward W. Ishak2 and Ed Chi1 
| (1) |
Palo Alto Research Center, Inc., 3333 Coyote Hill Road, Palo Alto, CA 94304, USA |
| (2) |
Columbia University, Department of Computer Science, 1214 Amsterdam Ave., 450 CS Bldg, New York, NY 10027, USA |
Abstract
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.
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