Supporting insight-based information exploration in intelligence analysis

被引：20

作者：

Gersh, J ^{[1
]}

Lewis, B ^{[1
]}

Montemayor, J ^{[1
]}

Piatko, C ^{[1
]}

Turner, R ^{[1
]}

机构：

[1] Johns Hopkins Univ, Appl Phys Lab, Principal Profess Staff, Baltimore, MD 21218 USA

来源：

COMMUNICATIONS OF THE ACM | 2006年 / 49卷 / 04期

关键词：

D O I：

10.1145/1121949.1121984

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Exploratory search processes can greatly help the analyst in representing analytical insights in intelligence analysis. Rich information collections, which contain analyst's search results and executable collection specification by which similar information can be found together with the analyst's rationale for collecting them, can be used in the process of exploring information represented by complex graphs. The rich information collection can also represent a hypothesis, especially if it involves hypothetical entities or relationships. A user-created information element can be marked as hypothetical. Executing a rich information collection's collecting specification can serve as a search for the existence of the hypothetical entity. Diagnoistic evidence between competing hypotheses can also be represented by rich information collections.

引用

页码：63 / 68

页数：6

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