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CISpaces.org: from fact extraction to report generation

CISpaces.org: from fact extraction to report generation
CISpaces.org: from fact extraction to report generation

We introduce CISpaces.org, a tool to support situational understanding in intelligence analysis that complements but not replaces human expertise. The system combines natural language processing, argumentation-based reasoning, and natural language generation to produce intelligence reports from social media data, and to record the process of forming hypotheses from relationships among information. In this paper, we show how CISpaces.org meets the desirable requirements elicited from senior professionals, and demonstrate its usage and capabilities to support analysts in delivering effective and tailored intelligence to decision makers.

Argumentation, Open source intelligence, Report generation
0922-6389
269-280
IOS Press
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Toniolo, Alice
e54ad578-9232-471a-a5d7-cd3a7bc70872
Middleton, Stuart E.
404b62ba-d77e-476b-9775-32645b04473f
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Toniolo, Alice
e54ad578-9232-471a-a5d7-cd3a7bc70872
Middleton, Stuart E.
404b62ba-d77e-476b-9775-32645b04473f

Cerutti, Federico, Norman, Timothy J., Toniolo, Alice and Middleton, Stuart E. (2018) CISpaces.org: from fact extraction to report generation. In Computational Models of Argument - Proceedings of COMMA 2018. vol. 305, IOS Press. 12 pp, pp. 269-280. (doi:10.3233/978-1-61499-906-5-269).

Record type: Conference or Workshop Item (Paper)

Abstract

We introduce CISpaces.org, a tool to support situational understanding in intelligence analysis that complements but not replaces human expertise. The system combines natural language processing, argumentation-based reasoning, and natural language generation to produce intelligence reports from social media data, and to record the process of forming hypotheses from relationships among information. In this paper, we show how CISpaces.org meets the desirable requirements elicited from senior professionals, and demonstrate its usage and capabilities to support analysts in delivering effective and tailored intelligence to decision makers.

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More information

Published date: 2018
Venue - Dates: 7th International Conference on Computational Models of Argument, COMMA 2018, Warsaw, Poland, 2018-09-12 - 2018-09-14
Keywords: Argumentation, Open source intelligence, Report generation

Identifiers

Local EPrints ID: 425175
URI: https://eprints.soton.ac.uk/id/eprint/425175
ISSN: 0922-6389
PURE UUID: 032dc5a5-ee13-4fd0-a1e5-884a7046b74c
ORCID for Timothy J. Norman: ORCID iD orcid.org/0000-0002-6387-4034
ORCID for Stuart E. Middleton: ORCID iD orcid.org/0000-0001-8305-8176

Catalogue record

Date deposited: 11 Oct 2018 16:30
Last modified: 12 Oct 2018 00:34

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