Article

Model-guided information discovery for intelligence analysis

Authors:

Rafael Alonso,

Hua LiAuthors Info & Claims

CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

Pages 269 - 270

https://doi.org/10.1145/1099554.1099621

Published: 31 October 2005 Publication History

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Abstract

Intelligence analysis can be aided and guided by models of the analysts' interests and priorities. This paper describes our approach to analyst modeling as part of the Ant CAFÉ project, in which analyst models are used to guide the searching behavior of a swarm of intelligent agents. Structural elements of our analyst model include concepts and relations, both of which help to capture the analyst's current interest and concerns. In addition, the concepts and relationships have associated scalar parameters to provide a quantitative measure of the user's level of interest. We have developed algorithms for dynamically adapting the weights and evolving the elements of the model itself. To evaluate these algorithms we have built an Analyst Modeling Environment workbench. We have tested our approach on this workbench using traces generated by human analysts, and have demonstrated improvements over current state of the art search engines.

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Cited By

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Bin Yousuf RDefelice NSharma MXu SRamakrishnan N(2024)LLM Augmentations to support Analytical Reasoning over Multiple Documents2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10826114(1892-1901)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10826114
Li HAlonso RFletcher GMitra P(2012)Managing analysis contextProceedings of the twelfth international workshop on Web information and data management10.1145/2389936.2389945(33-40)Online publication date: 2-Nov-2012
https://dl.acm.org/doi/10.1145/2389936.2389945
Hossain MButler PBoedihardjo ARamakrishnan NYang QAgarwal DPei J(2012)Storytelling in entity networks to support intelligence analystsProceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2339530.2339742(1375-1383)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2339530.2339742
Show More Cited By

Index Terms

Model-guided information discovery for intelligence analysis
1. Computing methodologies
  1. Machine learning
    1. Learning settings
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval tasks and goals
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

October 2005

854 pages

ISBN:1595931406

DOI:10.1145/1099554

General Chair:
Otthein Herzog
University of Bremen, Germany
,
Program Chairs:
Hans-Jörg Schek
University for Health Sciences, Medical Informatics and Technology, Austria
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Abdur Chowdhury
America Online, USA
,
Wilfried Teiken
IBM T.J. Watson Research Center, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 31 October 2005

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CIKM05: Conference on Information and Knowledge Management

October 31 - November 5, 2005

Bremen, Germany

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CIKM '05 Paper Acceptance Rate 77 of 425 submissions, 18%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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CIKM '25

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Bin Yousuf RDefelice NSharma MXu SRamakrishnan N(2024)LLM Augmentations to support Analytical Reasoning over Multiple Documents2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10826114(1892-1901)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10826114
Li HAlonso RFletcher GMitra P(2012)Managing analysis contextProceedings of the twelfth international workshop on Web information and data management10.1145/2389936.2389945(33-40)Online publication date: 2-Nov-2012
https://dl.acm.org/doi/10.1145/2389936.2389945
Hossain MButler PBoedihardjo ARamakrishnan NYang QAgarwal DPei J(2012)Storytelling in entity networks to support intelligence analystsProceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2339530.2339742(1375-1383)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2339530.2339742
Wu HMampaey MTatti NVreeken JHossain MRamakrishnan NYang CChen HMao WWang F(2012)Where do I start?Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics10.1145/2331791.2331794(1-8)Online publication date: 12-Aug-2012
https://dl.acm.org/doi/10.1145/2331791.2331794
Schroh DBozowsky NSavigny MWright W(2010)nCompass Service Oriented Architecture for Tacit Collaboration ServicesFrom Sociology to Computing in Social Networks10.1007/978-3-7091-0294-7_21(395-413)Online publication date: 2010
https://doi.org/10.1007/978-3-7091-0294-7_21
Li HMuñoz-Avila HBramsen DHogg CAlonso R(2009)Spatial Event Prediction by Combining Value Function Approximation and Case-Based ReasoningProceedings of the 8th International Conference on Case-Based Reasoning Research and Development - Volume 565010.5555/3088769.3088805(465-478)Online publication date: 20-Jul-2009
https://dl.acm.org/doi/10.5555/3088769.3088805
Li HBramsen DAlonso R(2009)Potential IED threat system (PITS)2009 IEEE Conference on Technologies for Homeland Security10.1109/THS.2009.5168041(242-249)Online publication date: May-2009
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Schroh DBozowsky NSavigny MWright W(2009)nCompass Service Oriented Architecture for Tacit Collaboration ServicesProceedings of the 2009 13th International Conference Information Visualisation10.1109/IV.2009.62(433-442)Online publication date: 15-Jul-2009
https://dl.acm.org/doi/10.1109/IV.2009.62
Li HMuñoz-Avila HBramsen DHogg CAlonso R(2009)Spatial Event Prediction by Combining Value Function Approximation and Case-Based ReasoningCase-Based Reasoning Research and Development10.1007/978-3-642-02998-1_33(465-478)Online publication date: 2009
https://doi.org/10.1007/978-3-642-02998-1_33
Buczak AWan CPetry G(2007)SmartPortal for Biomedical Data Mining2007 IEEE Symposium on Computational Intelligence and Data Mining10.1109/CIDM.2007.368876(221-227)Online publication date: Apr-2007
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Visual Analytics Support for Intelligence Analysis

Jigsaw: supporting investigative analysis through interactive visualization

Collaborative Human-AI Sensemaking for Intelligence Analysis

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