[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2833312.2849568acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicdcnConference Proceedingsconference-collections
research-article

Conversational intelligence analysis

Published: 04 January 2016 Publication History

Abstract

Social networks foster the development of social sensing to gather data about situations in the environment. Making sense of this information is, however, a challenge because the process is not linear and additional sensed information may be needed to better understand a situation. In this paper we explore how two complementary technologies, Moira and CISpaces, operate in unison to support collaboration among human-agent teams to iteratively gather and analyse information to improve situational awareness. The integrated system is developed for supporting intelligence analysis in a coalition environment. Moira is a conversational interface for information gathering, querying and evidence aggregation that supports cooperative data-driven analytics via Controlled Natural Language. CISpaces supports collaborative sensemaking among analysts via argumentation-based evidential reasoning to guide the identification of plausible hypotheses, including reasoning about provenance to explore credibility. In concert, these components enable teams of analysts to collaborate in constructing structured hypotheses with machine-based systems and external collaborators.

References

[1]
J. A. Burke, D. Estrin, M. Hansen, et al. Participatory sensing. In Proceedings of the ACM Sensys World Sensor Web Workshop, 2006.
[2]
M. R. Endsley. Toward a theory of situation awareness in dynamic systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, 37(1):32--64, 1995.
[3]
R. J. Heuer. Psychology of intelligence analysis. US Government Printing Office, 1999.
[4]
L. Moreau and P. Missier. PROV-DM: The PROV Data Model, April 2013.
[5]
D. Mott. Summary of controlled english. Technical report, International Technology Alliance, May 2010. Available at https://www.usukita.org/node/1411.
[6]
N. J. Pioch and J. O. Everett. POLESTAR: collaborative knowledge management and sensemaking tools for intelligence analysts. In Proceedings of the 15th International Conference on Information and Knowledge Management, pages 513--521, 2006.
[7]
P. Pirolli and S. Card. The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In Proceedings of the Int. Conference on Intelligence Analysis, 2005.
[8]
A. Preece, D. Braines, D. Pizzocaro, and C. Parizas. Human-machine conversations to support multi-agency missions. ACM SIGMOBILE Mobile Computing and Comm. Review, 18(1):75--84, 2014.
[9]
A. Preece, C. Gwilliams, C. Parizas, et al. Conversational sensing. In Proceedings of SPIE, Next-Generation Analyst II, 2014.
[10]
A. Preece, W. Webberley, and D. Braines. Conversational sensemaking. In Proceedings of SPIE, Sensing Technology+ Applications, 2015.
[11]
A. Toniolo, F. Cerutti, N. Oren, et al. Making informed decisions with provenance and argumentation schemes. In Proc. of the 11th Int. Workshop on Argumentation in Multi-Agent Systems, 2014.
[12]
A. Toniolo, T. J. Norman, A. Etuk, et al. Supporting reasoning with different types of evidence in intelligence analysis. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems, 2015.
[13]
D. Walton, C. Reed, and F. Macagno. Argumentation schemes. Cambridge University Press, 2008.

Cited By

View all
  • (2023)Preliminary Perspectives on Information Passing in the Intelligence CommunityAnalytics10.3390/analytics20200282:2(509-529)Online publication date: 15-Jun-2023
  • (2022)Argumentation as a Method for Explainable AI : A Systematic Literature Review2022 17th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI54924.2022.9820411(1-6)Online publication date: 22-Jun-2022
  • (2019)EMIL: Extracting Meaning from Inconsistent LanguageInternational Journal of Approximate Reasoning10.1016/j.ijar.2019.04.010Online publication date: May-2019
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICDCN '16: Proceedings of the 17th International Conference on Distributed Computing and Networking
January 2016
370 pages
ISBN:9781450340328
DOI:10.1145/2833312
© 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. argumentation
  2. controlled natural language
  3. intelligence analysis
  4. provenance

Qualifiers

  • Research-article

Conference

ICDCN '16

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)1
Reflects downloads up to 25 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Preliminary Perspectives on Information Passing in the Intelligence CommunityAnalytics10.3390/analytics20200282:2(509-529)Online publication date: 15-Jun-2023
  • (2022)Argumentation as a Method for Explainable AI : A Systematic Literature Review2022 17th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI54924.2022.9820411(1-6)Online publication date: 22-Jun-2022
  • (2019)EMIL: Extracting Meaning from Inconsistent LanguageInternational Journal of Approximate Reasoning10.1016/j.ijar.2019.04.010Online publication date: May-2019
  • (2018)Supporting Scientific Enquiry with Uncertain Sources2018 21st International Conference on Information Fusion (FUSION)10.23919/ICIF.2018.8455649(1-8)Online publication date: Jul-2018
  • (2018)Explanation through ArgumentationProceedings of the 6th International Conference on Human-Agent Interaction10.1145/3284432.3284470(277-285)Online publication date: 4-Dec-2018
  • (2017)dARe – Using Argumentation to Explain Conclusions from a Controlled Natural Language Knowledge BaseAdvances in Artificial Intelligence: From Theory to Practice10.1007/978-3-319-60045-1_35(328-338)Online publication date: 3-Jun-2017

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media