Link Mining For Contextual Prioritization Of
Tactical Information
Author(s)
R. E. Marmelstein, M. G. Devito, C. Mungo,
G. Papanagopoulos, K. Patel & M. H. Linderman
Abstract
To address the problem of information overload in military Command and
Control (C2), we have prototyped a Tactical Information Prioritization System
(TIPS). TIPS performs link mining on relational, C2 databases in order to
dynamically determine the relevance of a given report to a generic military unit
of interest. Emerging C2 database schemas, such as C2 Integrated Exchange
Data Model (C2IEDM), support this goal by providing multiple, overlapping
pathways to relate disparate battlespace objects. By leveraging the C2IEDM
schema, we have developed a set of queries to mine context-sensitive
relationships for a given report/unit pairing. These findings are then interpreted
by a Bayesian Network to prioritize a set of reports for transmission to the
specified unit. Our testing shows that the TIPS recommendations approximate
those of group of human analysts.
Keywords: context awareness, command and control, link mining, Bayesian
Networks, information prioritization, C2IEDM.
1 Background
Communication is always a difficult task; this is especially true in combat.
Warfighters must receive the information necessary for them to accomplish their
mission in a timely manner. Conversely, an excess of information can degrade
unit effectiveness and jeopardize mission success. Supplying the right
Keywords
context awareness, command and control, link mining, Bayesian
Networks, information prioritization, C2IEDM.
Related Book
Other papers in this volume
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