Intelligence and Security Informatics
Volume 3975 of the series Lecture Notes in Computer Science pp 466-472
Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
- Eric A. BierAffiliated withPalo Alto Research Center, Inc.
- , Edward W. IshakAffiliated withDepartment of Computer Science, Columbia University
- , Ed ChiAffiliated withPalo Alto Research Center, Inc.
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.
- Title
- Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading
- Book Title
- Intelligence and Security Informatics
- Book Subtitle
- IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, USA, May 23-24, 2006. Proceedings
- Book Part
- II
- Pages
- pp 466-472
- Copyright
- 2006
- DOI
- 10.1007/11760146_42
- Print ISBN
- 978-3-540-34478-0
- Online ISBN
- 978-3-540-34479-7
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 3975
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Sharad Mehrotra (16)
- Daniel D. Zeng (17)
- Hsinchun Chen (18)
- Bhavani Thuraisingham (19)
- Fei-Yue Wang (20)
- Editor Affiliations
-
- 16. School of Information and Computer Science, University of California
- 17. MIS Department, University of Arizona
- 18. Department of Management Information Systems, Eller College of Management, The University of Arizona
- 19. University of Texas at Dallas
- 20. Chinese Academy of Sciences
- Authors
-
- Eric A. Bier (21)
- Edward W. Ishak (22)
- Ed Chi (21)
- Author Affiliations
-
- 21. Palo Alto Research Center, Inc., 3333 Coyote Hill Road, Palo Alto, CA, 94304, USA
- 22. Department of Computer Science, Columbia University, 1214 Amsterdam Ave., 450 CS Bldg, New York, NY, 10027, USA
Continue reading...
To view the rest of this content please follow the download PDF link above.