Conversational intelligence analysis
Conversational intelligence analysis
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.
Argumentation, Controlled Natural Language, Intelligence analysis, Provenance
Association for Computing Machinery
Toniolo, Alice
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Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Braines, Dave
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Sullivan, Paul
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Preece, Alun D.
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Webberley, Will
8a500a67-784c-47df-a5ac-1fd5dd0b4474
Dropps, Timothy
ac48e4f2-a2a2-4909-b305-29ea9a7491ad
4 January 2016
Toniolo, Alice
e54ad578-9232-471a-a5d7-cd3a7bc70872
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Braines, Dave
09e96745-c478-4a3d-9a3b-46e0f0e3ac18
Sullivan, Paul
b406885e-cc88-4b09-85bd-d29bd41d3da7
Preece, Alun D.
026b9a89-e7f8-4943-952e-fbdfdd58c22f
Webberley, Will
8a500a67-784c-47df-a5ac-1fd5dd0b4474
Dropps, Timothy
ac48e4f2-a2a2-4909-b305-29ea9a7491ad
Toniolo, Alice, Norman, Timothy J., Braines, Dave, Sullivan, Paul, Preece, Alun D., Webberley, Will and Dropps, Timothy
(2016)
Conversational intelligence analysis.
In Proceedings of the 17th International Conference on Distributed Computing and Networking, ICDCN 2016.
vol. 04-07-January-2,
Association for Computing Machinery..
(doi:10.1145/2833312.2849568).
Record type:
Conference or Workshop Item
(Paper)
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.
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More information
Published date: 4 January 2016
Venue - Dates:
17th International Conference on Distributed Computing and Networking, ICDCN 2016, , Singapore, Singapore, 2016-01-04 - 2016-01-07
Keywords:
Argumentation, Controlled Natural Language, Intelligence analysis, Provenance
Identifiers
Local EPrints ID: 450442
URI: http://eprints.soton.ac.uk/id/eprint/450442
PURE UUID: 3c2dd743-2c57-4ab8-8829-8396dbbb6e45
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Date deposited: 28 Jul 2021 16:31
Last modified: 17 Mar 2024 03:41
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Contributors
Author:
Alice Toniolo
Author:
Dave Braines
Author:
Paul Sullivan
Author:
Alun D. Preece
Author:
Will Webberley
Author:
Timothy Dropps
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