Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems

Niranjan Suri; Jeffrey Bradshaw; Mark Burstein; Andrzej Uszok; Brett Benyo; Maggie Breedy; Marco Carvalho; David Diller; Paul Groth; Renia Jeffers; Matt Johnson; Shri Kulkarni; James Lott

Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems

Niranjan Suri, Jeffrey Bradshaw, Mark Burstein, Andrzej Uszok, Brett Benyo, Maggie Breedy, Marco Carvalho, David Diller, Paul Groth, Renia Jeffers, Matt Johnson, Shri Kulkarni, James Lott

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

A DAML ontology to provide runtime policy-based control over information exchange is described. Two different control mechanisms including semantic (content-based) filtering of messages and in-stream transformation of messages driven by policies at run-time are discussed. These mechanisms allow a more fine-grained control over dynamic and autonomous agent interactions and increases the confidence of system designers to adopt agent-based approaches in building dynamic, heterogeneous systems. Semantic filtering protects sensitive data transmission from agents of one country to the rest of the coalition members and dynamic transformation reduces the resolution of a data feed from a sensor agent of one country to a client agent in another country.

Original language	English
Pages	1132-1133
Number of pages	2
State	Published - 2003
Externally published	Yes
Event	Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 - Melbourne, Vic., Australia Duration: Jul 14 2003 → Jul 18 2003

Conference

Conference	Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03
Country/Territory	Australia
City	Melbourne, Vic.
Period	07/14/03 → 07/18/03

Cite this

Suri, N., Bradshaw, J., Burstein, M., Uszok, A., Benyo, B., Breedy, M., Carvalho, M., Diller, D., Groth, P., Jeffers, R., Johnson, M., Kulkarni, S., & Lott, J. (2003). Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems. 1132-1133. Paper presented at Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03, Melbourne, Vic., Australia.

@conference{9fb1004fc41c436cb417f31ba7eb8edf,

title = "Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems",

abstract = "A DAML ontology to provide runtime policy-based control over information exchange is described. Two different control mechanisms including semantic (content-based) filtering of messages and in-stream transformation of messages driven by policies at run-time are discussed. These mechanisms allow a more fine-grained control over dynamic and autonomous agent interactions and increases the confidence of system designers to adopt agent-based approaches in building dynamic, heterogeneous systems. Semantic filtering protects sensitive data transmission from agents of one country to the rest of the coalition members and dynamic transformation reduces the resolution of a data feed from a sensor agent of one country to a client agent in another country.",

author = "Niranjan Suri and Jeffrey Bradshaw and Mark Burstein and Andrzej Uszok and Brett Benyo and Maggie Breedy and Marco Carvalho and David Diller and Paul Groth and Renia Jeffers and Matt Johnson and Shri Kulkarni and James Lott",

year = "2003",

language = "Ingl{\'e}s",

pages = "1132--1133",

note = "Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 ; Conference date: 14-07-2003 Through 18-07-2003",

}

Suri, N, Bradshaw, J, Burstein, M, Uszok, A, Benyo, B, Breedy, M, Carvalho, M, Diller, D, Groth, P, Jeffers, R, Johnson, M, Kulkarni, S & Lott, J 2003, 'Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems', Paper presented at Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03, Melbourne, Vic., Australia, 07/14/03 - 07/18/03 pp. 1132-1133.

Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems. / Suri, Niranjan; Bradshaw, Jeffrey; Burstein, Mark et al.
2003. 1132-1133 Paper presented at Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03, Melbourne, Vic., Australia.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems

AU - Suri, Niranjan

AU - Bradshaw, Jeffrey

AU - Burstein, Mark

AU - Uszok, Andrzej

AU - Benyo, Brett

AU - Breedy, Maggie

AU - Carvalho, Marco

AU - Diller, David

AU - Groth, Paul

AU - Jeffers, Renia

AU - Johnson, Matt

AU - Kulkarni, Shri

AU - Lott, James

PY - 2003

Y1 - 2003

N2 - A DAML ontology to provide runtime policy-based control over information exchange is described. Two different control mechanisms including semantic (content-based) filtering of messages and in-stream transformation of messages driven by policies at run-time are discussed. These mechanisms allow a more fine-grained control over dynamic and autonomous agent interactions and increases the confidence of system designers to adopt agent-based approaches in building dynamic, heterogeneous systems. Semantic filtering protects sensitive data transmission from agents of one country to the rest of the coalition members and dynamic transformation reduces the resolution of a data feed from a sensor agent of one country to a client agent in another country.

AB - A DAML ontology to provide runtime policy-based control over information exchange is described. Two different control mechanisms including semantic (content-based) filtering of messages and in-stream transformation of messages driven by policies at run-time are discussed. These mechanisms allow a more fine-grained control over dynamic and autonomous agent interactions and increases the confidence of system designers to adopt agent-based approaches in building dynamic, heterogeneous systems. Semantic filtering protects sensitive data transmission from agents of one country to the rest of the coalition members and dynamic transformation reduces the resolution of a data feed from a sensor agent of one country to a client agent in another country.

UR - http://www.scopus.com/inward/record.url?scp=10744220689&partnerID=8YFLogxK

M3 - Artículo

AN - SCOPUS:10744220689

SP - 1132

EP - 1133

T2 - Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03

Y2 - 14 July 2003 through 18 July 2003

ER -

Toward DAML-based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems

Abstract

Conference

Other files and links

Fingerprint

Cite this