AI Technologies for Homeland Security

Contents

• Middleware Platform for Recruiting and Proactively Managing Virtual Panels of Intelligence Experts

  Hyong-Sop Shim, Clifford Behrens, and Devasis Bassu

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• Improved Document Representation for Classification Tasks for the Intelligence Community

  Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, and Elizabeth D. Liddy

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• Automated Vulnerability Analysis Using AI Planning

  Steven Harp, Johnathan Gohde, Thomas Haigh, and Mark Boddy

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• Small Steps and Giant Leaps toward Homeland Security

  Leona F. Fass

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• Shared Situation Awareness for Supporting Human Decision-Making Teams

  Xiaocong Fan, Shuang Sun, and John Yen

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• Mining Images in Publicly-Available Cameras for Homeland Security

  Latanya Sweeney and Ralph Gross

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• Technologies to Defeat Fraudulent Schemes Related to Email Requests

  Edoardo Airoldi, Bradley Malin, and Latanya Sweeney

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• A High-Level Language for Homeland Security Response Plans

  Richard Scherl and Michael Barnathan

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• Fostering Collaboration with a Semantic Index over Textual Contributions

  Kenneth Murray, John Lowrance, Douglas Appelt, and Andres Rodriguez

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• Network Awareness and the Philadelphia Area Urban Wireless Network Testbed

  Joseph B. Kopena, Kris Malfettone, Evan Sultanik, Vincent A. Cicirello, Andrew Mroczkowski, Moshe Kam, Maxim Peysakhov, Gaurav Naik, and William C. Regli

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• Determining Possible Criminal Behavior of Mobile Phone Users by Means of Analyzing the Location Tracking Data

  Boris Galitsky and Alexander Miller

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• On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework

  Li Ding, Pranam Kolari, Tim Finin, Anupam Joshi, Yun Peng, and Yelena Yesha

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• The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO

  Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri, Nikhil Kasinadhuni, and J. P. Lewis

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• Link Analysis Technologies for Differing Data Sources

  Connie Fournelle and Jorge Tierno

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• AI Technologies to Defeat Identity Theft Vulnerabilities

  Latanya Sweeney

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• Performance Analysis and Prediction for Data Mining Systems

  Jorge E. Tierno

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• Answer Set Programming as the Basis for a Homeland Security QAS

  Chitta Baral, Michael Gelfond, and Richard Scherl

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• Empirical Determination of Lower Bounds on RP Embedding

  Lili He and Ian R. Greenshields

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• Homeland Security, Organizations, and Perturbations

  William F. Lawless

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• Contents

  John Yen and Robert Popp

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• Knowledge Representation Issues in Semantic Graphs for Relationship Detection

  Marc Barthélemy, Edmond T. Chow, and Tina Eliassi-Rad

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• COORDINATORs: TAEMS Modeling and Interfacing for First Response

  John Phelps and Valerie Guralnik

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• Automated Detection of Terrorist Activities through Link Discovery within Massive Datasets

  Christopher M. Boner

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• Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis

  Larry Birnbaum, Kenneth D. Forbus, Earl Wagner, James Baker, and Michael Witbrock

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• Towards Semantic Integration of Legacy Databases for Homeland Security

  Terry L. Janssen

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• Recommender Systems for Intelligence Analysts

  Anna L. Buczak, Benjamin Grooters, Paul Kogut, Eren Manavoglu, and C. Lee Giles

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• Organizing Committee

  John Yen and Robert Popp

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• Transforming Open-Source Documents to Terror Networks: The Arizona TerrorNet

  Daniel M. McDonald, Hsinchun Chen, and Robert P. Schumaker

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• Using Mobile Robots as a Shared Visual Presence in USAR Environments

  Jennifer L. Burke and Robin R. Murphy

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• A Bayesian Framework for Robust Reasoning from Sensor Networks

  Valery A. Petrushin, Rayid Ghani, and Anatole V. Gershman

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• Counter Intelligence and the Semantic Web

  James Hendler

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• Cognitive Information Processing Challenges for Homeland Security

  Paul Kogut and Kenneth Kisiel

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• Knowledge-Based Syndromic Surveillance for Bioterrorism

  Mark A. Musen, Monica Crubézy, Martin O'Connor, and David Buckeridge

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• Collaborative Filtering for Community Threats

  Robert P. Goldman, Mark S. Boddy, Steven A. Harp, and Tom Haigh

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• Relational Recognition for Information Extraction in Free Text Documents

  Erik J. Larson and Todd C. Hughes

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