AI Technologies for Homeland Security
Papers from the 2005 AAAI Spring Symposium
John Yen and Robert Popp, Program Cochairs
Technical Report SS-05-01. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Organizing Committee / iii
John Yen and Robert Popp
Regular Papers
Team Coordination
COORDINATORs: TAEMS Modeling and Interfacing for First Response / 1
John Phelps and Valerie Guralnik
The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO / 9
Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri, Nikhil Kasinadhuni, and J. P. Lewis
On Shared Situation Awareness for Supporting Human Decision-Making Teams / 17
Xiaocong Fan, Shuang Sun, and John Yen
Intelligent Analysis Tools
Recommender Systems for Intelligence Analysts / 25
Anna L. Buczak, Benjamin Grooters, Paul Kogut, Eren Manavoglu, and C. Lee Giles
Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis / 32
Larry Birnbaum, Kenneth D. Forbus, Earl Wagner, James Baker, and Michael Witbrock
Middleware Platform for Recruiting and Proactively Managing Virtual Panels of Intelligence Experts / 38
Hyong-Sop Shim, Clifford Behrens, and Devasis Bassu
Automated Vulnerability Analysis Using AI Planning / 46
Steven Harp, Johnathan Gohde, Thomas Haigh, and Mark Boddy
Threat Network Analysis
Link Analysis Technologies for Differing Data Sources / 54
Connie Fournelle and Jorge Tierno
Transforming Open-Source Documents to Terror Networks: The Arizona TerrorNet / 62
Daniel M. McDonald, Hsinchun Chen, and Robert P. Schumaker
Network Awareness and the Philadelphia Area Urban Wireless Network Testbed / 70
Joseph B. Kopena, Kris Malfettone, Evan Sultanik, Vincent A. Cicirello, Andrew Mroczkowski, Moshe Kam, Maxim Peysakhov, Gaurav Naik, and William C. Regli
Knowledge Representations and Semantic Web
Improved Document Representation for Classification Tasks for the Intelligence Community / 76
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, and Elizabeth D. Liddy
Counter Intelligence and the Semantic Web / 83
James Hendler
Knowledge-Based Syndromic Surveillance for Bioterrorism / 86
Mark A. Musen, Monica Crubézy, Martin O'Connor, and David Buckeridge
Knowledge Representation Issues in Semantic Graphs for Relationship Detection / 91
Marc Barthélemy, Edmond T. Chow, and Tina Eliassi-Rad
Homeland Security Applications
Fostering Collaboration with a Semantic Index over Textual Contributions / 99
Kenneth Murray, John Lowrance, Douglas Appelt, and Andres Rodriguez
Performance Analysis and Prediction for Data Mining Systems / 107
Jorge E. Tierno
Using Mobile Robots as a Shared Visual Presence in USAR Environments / 111
Jennifer L. Burke and Robin R. Murphy
Posters
Situation Tracking
Automated Detection of Terrorist Activities through Link Discovery within Massive Datasets / 117
Christopher M. Boner
Determining Possible Criminal Behavior of Mobile Phone Users by Means of Analyzing the Location Tracking Data / 120
Boris Galitsky and Alexander Miller
Threat Network Analysis
Small Steps and Giant Leaps toward Homeland Security / 123
Leona F. Fass
Homeland Security, Organizations, and Perturbations / 127
W. F. Lawless
System Security
Collaborative Filtering for Community Threats / 130
Robert P. Goldman, Mark S. Boddy, Steven A. Harp, and Tom Haigh
Technologies to Defeat Fraudulent Schemes Related to Email Requests / 133
Edoardo Airoldi, Bradley Malin, and Latanya Sweeney
Privacy-Preserving
AI Technologies to Defeat Identity Theft Vulnerabilities / 136
Latanya Sweeney
Information Processing
Cognitive Information Processing Challenges for Homeland Security / 139
Paul Kogut and Kenneth Kisiel
A Bayesian Framework for Robust Reasoning from Sensor Networks / 141
Valery A. Petrushin, Rayid Ghani, and Anatole V. Gershman
Relational Recognition for Information Extraction in Free Text Documents / 144
Erik J. Larson and Todd C. Hughes
Applications
A High-Level Language for Homeland Security Response Plans / 147
Richard Scherl and Michael Barnathan
Answer Set Programming as the Basis for a Homeland Security QAS / 149
Chitta Baral, Michael Gelfond, and Richard Scherl
Empirical Determination of Lower Bounds on RP Embedding / 151
Lili He and Ian R. Greenshields
Towards Semantic Integration of Legacy Databases for Homeland Security / 154
Terry L. Janssen
On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework / 157
Li Ding, Pranam Kolari, Tim Finin, Anupam Joshi, Yun Peng, and Yelena Yesha
Mining Images in Publicly-Available Cameras for Homeland Security / 161
Latanya Sweeney and Ralph Gross
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