The correct labelling of all information at its point of origin is a critical enabler for effective information access control in modern military systems. If information is not properly labeled it cannot be shared between different communities of interest and coalition partners, which affects the responsibility to share and potentially impedes ongoing military operations. This paper describes two experiments performed at the NATO Communications and Information Agency related to supporting correct labelling of both pre-existing and newly created information objects. Two different techniques are used, one based on semantic analysis and the other on machine learning. Both approaches offer promising results in their respective use case scenarios, but require further development prior to operational deployment.

Assisted content-based labelling and classification of documents / Wrona, K.; Oudkerk, S.; Armando, A.; Ranise, S.; Traverso, R.; Ferrari, L.; Mcevoy, R.. - (2016), pp. 1-7. ((Intervento presentato al convegno 2016 International Conference on Military Communications and Information Systems, ICMCIS 2016 tenutosi a bel nel 2016 [10.1109/ICMCIS.2016.7496589].

Assisted content-based labelling and classification of documents

Ranise S.;
2016-01-01

Abstract

The correct labelling of all information at its point of origin is a critical enabler for effective information access control in modern military systems. If information is not properly labeled it cannot be shared between different communities of interest and coalition partners, which affects the responsibility to share and potentially impedes ongoing military operations. This paper describes two experiments performed at the NATO Communications and Information Agency related to supporting correct labelling of both pre-existing and newly created information objects. Two different techniques are used, one based on semantic analysis and the other on machine learning. Both approaches offer promising results in their respective use case scenarios, but require further development prior to operational deployment.
2016 International Conference on Military Communications and Information Systems, ICMCIS 2016
United States
Institute of Electrical and Electronics Engineers Inc.
978-1-5090-1777-5
Wrona, K.; Oudkerk, S.; Armando, A.; Ranise, S.; Traverso, R.; Ferrari, L.; Mcevoy, R.
Assisted content-based labelling and classification of documents / Wrona, K.; Oudkerk, S.; Armando, A.; Ranise, S.; Traverso, R.; Ferrari, L.; Mcevoy, R.. - (2016), pp. 1-7. ((Intervento presentato al convegno 2016 International Conference on Military Communications and Information Systems, ICMCIS 2016 tenutosi a bel nel 2016 [10.1109/ICMCIS.2016.7496589].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/333034
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